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array:24 [ "pii" => "S0021755718309094" "issn" => "00217557" "doi" => "10.1016/j.jped.2018.10.008" "estado" => "S300" "fechaPublicacion" => "2020-03-01" "aid" => "741" "copyright" => "Sociedade Brasileira de Pediatria" "copyrightAnyo" => "2018" "documento" => "article" "crossmark" => 1 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "J Pediatr (Rio J). 2020;96:255-64" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 402 "formatos" => array:3 [ "EPUB" => 55 "HTML" => 201 "PDF" => 146 ] ] "Traduccion" => array:1 [ "pt" => array:20 [ "pii" => "S2255553619300722" "issn" => "22555536" "doi" => "10.1016/j.jpedp.2019.04.004" "estado" => "S300" "fechaPublicacion" => "2020-03-01" "aid" => "741" "copyright" => "Sociedade Brasileira de Pediatria" "documento" => "article" "crossmark" => 1 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "J Pediatr (Rio J). 2020;96:255-63" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 342 "formatos" => array:3 [ "EPUB" => 54 "HTML" => 172 "PDF" => 116 ] ] "pt" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Artigo Original</span>" "titulo" => "Volumetric capnography <span class="elsevierStyleItalic">versus</span> spirometry for the evaluation of pulmonary function in cystic fibrosis and allergic asthma" "tienePdf" => "pt" "tieneTextoCompleto" => "pt" "tieneResumen" => array:2 [ 0 => "en" 1 => "pt" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "255" "paginaFinal" => "263" ] ] "titulosAlternativos" => array:1 [ "pt" => array:1 [ "titulo" => "Capnografia volumétrica <span class="elsevierStyleItalic">versus</span> espirometria para avaliação da função pulmonar na fibrose cística e na asma alérgica" ] ] "contieneResumen" => array:2 [ "en" => true "pt" => true ] "contieneTextoCompleto" => array:1 [ "pt" => true ] "contienePdf" => array:1 [ "pt" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figura 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1884 "Ancho" => 3127 "Tamanyo" => 375402 ] ] "descripcion" => array:1 [ "pt" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Associação do KPIv na capnografia volumétrica com marcadores espirométricos entre indivíduos controles saudáveis (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40) e pacientes com asma alérgica (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103) ou fibrose cística (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53), considerando a distinção entre marcadores espirométricos acima e abaixo do LIN (80%) e KPIv acima e abaixo do LSN (KPIv<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4,23). A. KPIv <span class="elsevierStyleItalic">versus</span> VEF<span class="elsevierStyleInf">1</span> (% do previsto). B. KPIv <span class="elsevierStyleItalic">versus</span> CVF (% prevista). C. KPIv <span class="elsevierStyleItalic">versus</span> VEF<span class="elsevierStyleInf">1</span>/CVF (% do previsto). D. KPIv <span class="elsevierStyleItalic">versus</span> FEF<span class="elsevierStyleInf">25‐75%</span> (% do previsto). Cada gráfico é dividido em quatro quadrantes correspondentes às seguintes condições: KPIv e marcador de espirometria alterados; KPIv alterado e marcador de espirometria normal; KPIv normal e marcador de espirometria alterado; KPIv e marcador de espirometria normais. KPIv, razão entre o SII e SIII multiplicada por 100; VEF<span class="elsevierStyleInf">1</span>, volume expiratório forçado no primeiro segundo da CVF; CVF, capacidade vital forçada; FEF <span class="elsevierStyleInf">25‐75%</span>, fluxo expiratório forçado entre 25% a 75% da CVF; LIN, Limite Inferior do Normal; LSN, Limite Superior do Normal. Círculo preto, indivíduos controles saudáveis; círculo verde, pacientes com asma; triângulo vermelho, pacientes com fibrose cística.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Armando Almeida‐Junior, Fernando Augusto Lima Marson, Celize Cruz Bresciani Almeida, Maria Ângela Gonçalves Oliveira Ribeiro, Ilma Aparecida Paschoal, Marcos Mello Moreira, José Dirceu Ribeiro" "autores" => array:7 [ 0 => array:2 [ "nombre" => "Armando" "apellidos" => "Almeida‐Junior" ] 1 => array:2 [ "nombre" => "Fernando Augusto Lima" "apellidos" => "Marson" ] 2 => array:2 [ "nombre" => "Celize Cruz Bresciani" "apellidos" => "Almeida" ] 3 => array:2 [ "nombre" => "Maria Ângela Gonçalves Oliveira" "apellidos" => "Ribeiro" ] 4 => array:2 [ "nombre" => "Ilma Aparecida" "apellidos" => "Paschoal" ] 5 => array:2 [ "nombre" => "Marcos Mello" "apellidos" => "Moreira" ] 6 => array:2 [ "nombre" => "José Dirceu" "apellidos" => "Ribeiro" ] ] ] ] ] "idiomaDefecto" => "pt" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S0021755718309094" "doi" => "10.1016/j.jped.2018.10.008" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0021755718309094?idApp=UINPBA000049" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2255553619300722?idApp=UINPBA000049" "url" => "/22555536/0000009600000002/v4_202005060625/S2255553619300722/v4_202005060625/pt/main.assets" ] ] "itemAnterior" => array:20 [ "pii" => "S0021755718308064" "issn" => "00217557" "doi" => "10.1016/j.jped.2018.10.007" "estado" => "S300" "fechaPublicacion" => "2020-03-01" "aid" => "740" "copyright" => "Sociedade Brasileira de Pediatria" "documento" => "article" "crossmark" => 1 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "J Pediatr (Rio J). 2020;96:247-54" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 423 "formatos" => array:3 [ "EPUB" => 55 "HTML" => 233 "PDF" => 135 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Is physical activity associated with resting heart rate in boys and girls? A representative study controlled for confounders" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "pt" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "247" "paginaFinal" => "254" ] ] "titulosAlternativos" => array:1 [ "pt" => array:1 [ "titulo" => "A atividade física está associada à frequência cardíaca de repouso em meninos e meninas? Estudo representativo controlado para fatores de confusão" ] ] "contieneResumen" => array:2 [ "en" => true "pt" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1565 "Ancho" => 2931 "Tamanyo" => 206098 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Resting heart rate (RHR) in different domains of physical activity in adolescents.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Edner F. Zanuto, Raphael M. Ritti-Dias, William R. Tebar, Catarina C. Scarabottolo, Leandro D. Delfino, Juliano Casonatto, Luiz Carlos M. Vanderlei, Diego Giulliano Destro Christofaro" "autores" => array:8 [ 0 => array:2 [ "nombre" => "Edner F." "apellidos" => "Zanuto" ] 1 => array:2 [ "nombre" => "Raphael M." "apellidos" => "Ritti-Dias" ] 2 => array:2 [ "nombre" => "William R." "apellidos" => "Tebar" ] 3 => array:2 [ "nombre" => "Catarina C." "apellidos" => "Scarabottolo" ] 4 => array:2 [ "nombre" => "Leandro D." "apellidos" => "Delfino" ] 5 => array:2 [ "nombre" => "Juliano" "apellidos" => "Casonatto" ] 6 => array:2 [ "nombre" => "Luiz Carlos M." "apellidos" => "Vanderlei" ] 7 => array:2 [ "nombre" => "Diego Giulliano Destro" "apellidos" => "Christofaro" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "pt" => array:9 [ "pii" => "S2255553619300710" "doi" => "10.1016/j.jpedp.2019.04.003" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "pt" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2255553619300710?idApp=UINPBA000049" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0021755718308064?idApp=UINPBA000049" "url" => "/00217557/0000009600000002/v1_202003290632/S0021755718308064/v1_202003290632/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Volumetric capnography <span class="elsevierStyleItalic">versus</span> spirometry for the evaluation of pulmonary function in cystic fibrosis and allergic asthma" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "255" "paginaFinal" => "264" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Armando Almeida-Junior, Fernando Augusto Lima Marson, Celize Cruz Bresciani Almeida, Maria Ângela Gonçalves Oliveira Ribeiro, Ilma Aparecida Paschoal, Marcos Mello Moreira, José Dirceu Ribeiro" "autores" => array:7 [ 0 => array:3 [ "nombre" => "Armando" "apellidos" => "Almeida-Junior" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:4 [ "nombre" => "Fernando Augusto Lima" "apellidos" => "Marson" "email" => array:1 [ 0 => "fernandolimamarson@hotmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 2 => array:3 [ "nombre" => "Celize Cruz Bresciani" "apellidos" => "Almeida" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "Maria Ângela Gonçalves Oliveira" "apellidos" => "Ribeiro" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 4 => array:3 [ "nombre" => "Ilma Aparecida" "apellidos" => "Paschoal" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 5 => array:3 [ "nombre" => "Marcos Mello" "apellidos" => "Moreira" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 6 => array:4 [ "nombre" => "José Dirceu" "apellidos" => "Ribeiro" "email" => array:1 [ 0 => "jdirceuribeiro@gmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Universidade Estadual de Campinas (Unicamp), Faculdade de Ciências Médicas, Departamento de Pediatria, Campinas, SP, Brazil" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Universidade Estadual de Campinas (Unicamp), Faculdade de Ciências Médicas, Departamento de Genética Médica e Medicina Genômica, Campinas, SP, Brazil" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Universidade Estadual de Campinas (Unicamp), Faculdade de Ciências Médicas, Laboratório de Fisiologia Pulmonar (LAFIP), Centro de Investigação em Pediatria (CIPED), Campinas, SP, Brazil" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Universidade Estadual de Campinas (Unicamp), Faculdade de Ciências Médicas, Departamento de Clínica Médica, Campinas, SP, Brazil" "etiqueta" => "d" "identificador" => "aff0020" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding authors." ] ] ] ] "titulosAlternativos" => array:1 [ "pt" => array:1 [ "titulo" => "Capnografia volumétrica <span class="elsevierStyleItalic">versus</span> espirometria para avaliação da função pulmonar na fibrose cística e na asma alérgica" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1817 "Ancho" => 3175 "Tamanyo" => 601011 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Association of KPIv on volumetric capnography with spirometry markers between healthy control individuals (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40) and patients with asthma (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103) or cystic fibrosis (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53), considering the distinction between spirometry markers above and below the LLN (80%) and KPIv above and below the ULN (KPIv<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4.23). (A) KPIv <span class="elsevierStyleItalic">versus</span> FEV<span class="elsevierStyleInf">1</span> (predicted %). (B) KPIv <span class="elsevierStyleItalic">versus</span> FVC (predicted %). (C) KPIv <span class="elsevierStyleItalic">versus</span> FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %). (D) KPIv <span class="elsevierStyleItalic">versus</span> FEF<span class="elsevierStyleInf">25–75%</span> (predicted %). Each graph is divided into four quadrants corresponding to the following conditions: Altered KPIv and spirometry marker; altered KPIv and normal spirometry marker; normal KPIv and altered spirometry marker; normal KPIv and spirometry marker. KPIv, ratio between the SII and SIII multiplied by 100; FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in one second of the FVC; FVC, forced vital capacity; FEF<span class="elsevierStyleInf">25–75%</span>, forced expiratory flow between 25% and 75% of the FVC; LLN, lower limit of normal; ULN, upper limit of normal. Black circle, healthy control individuals; green circle, patients with asthma; red triangle, patients with cystic fibrosis.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Asthma is among the most common chronic disease in children and adolescents; in turn, cystic fibrosis (CF) is little prevalent.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">1</span></a> Both chronic lung diseases (CF and asthma) present with airway obstruction, but each has a different pathophysiology. Several instruments have been studied and proposed to assess the anatomical and functional damage caused by both diseases. Volumetric capnography (VCap) allows the graphical analysis of the concentration pattern of carbon dioxide (CO<span class="elsevierStyleInf">2</span>) in the exhaled air volume, representing the anatomical source of CO<span class="elsevierStyleInf">2</span>. Three phases can be identified during VCap,<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">2,3</span></a> including the phase III slope (SIII), which is directly correlated with the degree of variation on the ventilation/perfusion in pulmonary injury model and varies in a high number of diseases.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">4–7</span></a> For newborns, SIII can possibly identify preterm infants with bronchopulmonary dysplasia from preterm infants with no pulmonary disease.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">8</span></a> The angle between the slopes in phases II and III is known as capnographic index (KPIv) and can be used as a screening test for the severity of pulmonary disease in CF.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">9</span></a> When compared with other tests of pulmonary function evaluation, VCap has the advantage of being portable, non-invasive, not using expensive gases, and being performed with spontaneous breathing.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">10–12</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Also, the authors had observed that the SIII standardized by the exhaled tidal volume (SIII/TV) is higher in children with asthma, and may reflect the in homogeneity of ventilation, suggesting chronic structural respiratory diseases. After the methacholine challenge test, SIII increased, and subsequently decreased after inhalation therapy with bronchodilator agents. This fact suggests the asynchronism on the emptying of the alveolar units due to the constrictor action of methacholine on the peripheral airways.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">10</span></a> An increase of the SIII value was observed on people with CF when compared with healthy children and adolescents. SIII values were higher in patients with normal spirometry, suggesting that VCap can identify patients with alterations in ventilation homogeneity very early.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">13</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">In hypothesis, the authors believe the VCap can pick up early pulmonary function abnormalities in the context of normal spirometry. Furthermore, while asthma is primarily an airway disease that can be described by spirometric abnormalities, CF is a mixed parenchymal/small airway disease that would be better described by VCap and in SIII of the capnogram. Thus, the objective of this study was to compare the markers for VCap and spirometry among children and adolescents with asthma, CF, and healthy controls. Moreover, the authors assessed the ability of the markers to identify to which group each individual belonged.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><p id="par0020" class="elsevierStylePara elsevierViewall">This was a cross-sectional, analytical, observational, and non-randomized study, conducted for three years at the Pulmonary Function Laboratory (LAFIP) of the University of Campinas to complete the recruitment. The project was approved by the Research Ethics Committee of the Institution (No. 419/2005 and No. 430/2008). The guardians of the children signed an informed consent form.</p><p id="par0025" class="elsevierStylePara elsevierViewall">The study included three groups of individuals: (i) 103 with controlled persistent allergic asthma (AAG); (ii) 53 with CF (CFG) – outside the period of pulmonary exacerbations; and (iii) 40 volunteers as healthy controls (HCG). Patients were aged from six to 15 years, of both sexes. They were followed-up at the Pediatric Pulmonology Outpatient Clinic from University Hospital of the institution and were recruited during routine visits. All the patients followed-up at the service were invited to participate in the study and only those who accepted to participate were included.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The diagnosis and classification of asthma followed the criteria of the Global Initiative for Asthma (GINA). Patients with asthma presented a dosage of serum immunoglobulin E greater than 180<span class="elsevierStyleHsp" style=""></span>IU/mL on at least one blood sample, peripheral blood eosinophils >4%, and positive response to at least one tested antigen on skin tests of immediate hypersensitivity. The inclusion criteria for patients with asthma were those who used inhaled corticosteroid (budesonide) as dry powder at a dosage of 400–800<span class="elsevierStyleHsp" style=""></span>mcg/day, and formoterol 12<span class="elsevierStyleHsp" style=""></span>mcg twice/day, for at least 30 days. No patient had history of asthma attack requiring hospitalization in intensive care unit in the previous year, exacerbation or worsening of symptoms with need for increased use of inhaled bronchodilators or systemic corticosteroids for four weeks before the tests were performed.</p><p id="par0035" class="elsevierStylePara elsevierViewall">The CF was diagnosed using the sweat test with stimulation of sweating through pilocarpine iontophoresis (at least two doses of chloride concentration greater than 60<span class="elsevierStyleHsp" style=""></span>mEq/L) and/or identification of two cystic fibrosis transmembrane conductance regulator (<span class="elsevierStyleItalic">CFTR</span>) mutations recognized as pathogenic mutations.</p><p id="par0040" class="elsevierStylePara elsevierViewall">The HCG was composed of healthy volunteers, with no history of active or passive smoking, without prior or current respiratory disease, who used no medication and had no known comorbidities. The individuals included presented no great difficulties to perform spirometry and VCap.</p><p id="par0045" class="elsevierStylePara elsevierViewall">The clinical characteristics of the participants were documented by the medical staff during the visits to perform the spirometry and VCap.</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Volumetric capnography</span><p id="par0050" class="elsevierStylePara elsevierViewall">To perform the VCap, the respiratory profile monitor CO<span class="elsevierStyleInf">2</span>SMO Plus® model DX-8100 (Novametrix, Wallingford, USA) was used; the software Analysis Plus (Oasis Analysis Plus®, MS, USA) was used to register the measurements and curves of the VCap. Participants were asked to sit with their back to the monitor, to use a nasal clip, and to breath through the mouthpiece. VCap markers were recorded for five minutes after observing the normalization of the respiratory pattern, and an offline sequence of the respiratory cycles of patients was selected after the collection, excluding the cycles of the first minute, considering it as a period of adaptation of the individual. After that procedure, the respiratory cycles that showed irregular patterns of the VCap curve, such as the absence of the plateau due to air leak or depression of the plateau due to cough, were excluded. The cycles in which the TV variation was greater or less than 25% of the average and in which the exhaled CO<span class="elsevierStyleInf">2</span> was greater or less than 5% of the average were also excluded.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">10,13,14</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">The average of the markers of the remaining cycles were calculated and considered as the final result. Three phases can be identified during VCap: phase I corresponds to the anatomic dead space; phase II, to a rapid increase of CO<span class="elsevierStyleInf">2</span>; phase III, to the formation of the plateau of exhaled CO<span class="elsevierStyleInf">2</span> corresponding to the alveolar air volume.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">2,3</span></a> The markers analyzed were: SII and SIII. The capnographic index [(SIII/SII)<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>100] (KPIv) was also used.<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">8,9,15</span></a> The normalization of SII and SIII by TV (SII/TV and SIII/TV) was performed to compensate for variations on the size of the individuals.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Spirometry</span><p id="par0060" class="elsevierStylePara elsevierViewall">For the evaluation of spirometry the spirometer CPFS/D and the BREEZE PF® version 3.8 B software (MedGraphics, MN, USA) were used. The screening was performed according to the recommendations of the European Respiratory Society and American Thoracic Society.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">16</span></a> Patients were instructed not to use bronchodilators of short or long duration for 12<span class="elsevierStyleHsp" style=""></span>h before the exam. The spirometry markers were adjusted to the <span class="elsevierStyleItalic">Z</span>-score using the GLI2012 software provided by the Global Lung initiative (GLI) of the European Respiratory Society.<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">17</span></a> The following markers were used in this study: forced vital capacity (FVC), forced expiratory volume in one second of the FVC (FEV<span class="elsevierStyleInf">1</span>), index of obstruction (FEV<span class="elsevierStyleInf">1</span>/FVC), and forced expiratory flow between 25% and 75% of the FVC (FEF<span class="elsevierStyleInf">25–75%</span>), expressed as <span class="elsevierStyleItalic">Z</span>-score and predicted percentage.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Statistical analysis</span><p id="par0065" class="elsevierStylePara elsevierViewall">Comparisons between independent markers without normal distribution were performed using the Mann–Whitney test.</p><p id="par0070" class="elsevierStylePara elsevierViewall">The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) were calculated to assess the potential of the spirometry and VCap markers to identify patients with asthma from healthy controls, patients with CF from healthy controls, and between patients with CF from those with asthma. VCap markers that were different in the three groups in the association study were used for the analysis of the ROC curve.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The predicted percentage was used due to its extensive use in clinical practice.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">18</span></a> Values below 80% of the predicted for spirometry markers were considered to be below the lower limit of normal (LLN). The <span class="elsevierStyleItalic">Z</span>-scores of the VCap markers for the HCG were calculated. The LLN and the upper limit of normal (ULN) for the VCap markers were considered as <−2 and >+2 of the HCG <span class="elsevierStyleItalic">Z</span>-score. A subgroup of individuals from the three groups was considered to have “normal” spirometry, using as inclusion criteria the results of FVC, FEV<span class="elsevierStyleInf">1</span>, and FEV<span class="elsevierStyleInf">1</span>/FVC greater than the LLN (at least 80% of the predicted to all these markers from spirometry).</p><p id="par0080" class="elsevierStylePara elsevierViewall">To compare the groups and analyze the ROC curve, SPSS (SPSS Inc., Statistical Package for Social Sciences, version 16.0, Chicago, IL, USA) was used. The value of alpha adopted was of 0.05.</p><p id="par0085" class="elsevierStylePara elsevierViewall">The graphs for median and confidence interval were performed using MedCalc 16.4.3 (MedCalc Software bvba – Ostend, Belgium; <a href="https://www.medcalc.org/">https://www.medcalc.org</a>, 2016).</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><p id="par0090" class="elsevierStylePara elsevierViewall">The descriptive analysis of the anthropometric variables and data obtained from the VCap and spirometry between AAG, CFG and HCG are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> and <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>. CF patients had smaller height and weight when compared with healthy controls and patients with asthma. The SIII, SIII/TV, and KPIv were higher in the groups of respiratory diseases in relation to the control group, being worse in the CFG. Only the FEV<span class="elsevierStyleInf">1</span>/FVC presented the same degree of evidence (<span class="elsevierStyleItalic">p</span>-value <0.05), with the lowest values on the AAG. With the exception of SII, the other markers of VCap and all markers of spirometry separated the HCG from the AAG and CFG (<span class="elsevierStyleItalic">p</span>-value <0.05).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">The analysis of individuals with normal spirometry evidenced that, with the exception of FVC, all markers were different between the HCG and patients (AAG and CFG). However, only the values of KPIv (higher on the CFG) and FEV<span class="elsevierStyleInf">1</span>/FVC (lower on the AAG) were different between the AAG and CFG.</p><p id="par0100" class="elsevierStylePara elsevierViewall">The AUC for the VCap and spirometry between the HCG and patients (AAG and CFG), as well as between the AAG and CFG, are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> and <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>. On the discrimination of the HCG from the AAG, the markers were different (<span class="elsevierStyleItalic">p</span>-value <0.05); however, only FEV<span class="elsevierStyleInf">1</span> and FEV<span class="elsevierStyleInf">1</span>/FVC presented AUC values greater than 0.800.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">On the discrimination of the HCG from the CFG, the markers presented differences between the groups (<span class="elsevierStyleItalic">p</span>-value <0.05), with the highest AUC value for FEV<span class="elsevierStyleInf">1</span>/FVC and VCap markers; the highest AUC value was observed for KPIv (0.900). Similarly, the VCap and FEV<span class="elsevierStyleInf">1</span>/FVC markers differentiated the AAG and CFG, and KPIv presented the highest AUC value (0.763).</p><p id="par0110" class="elsevierStylePara elsevierViewall">When the individuals with normal spirometry were evaluated, the VCap presented AUC values capable of discriminating the HCG from the AAG (SIII<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.768, <span class="elsevierStyleItalic">p</span>-value <0.001; SIII/TV<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.730, <span class="elsevierStyleItalic">p</span>-value <0.001; KPIv<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.686, <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002); as well as the HCG from the CFG (KPIv<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.866, <span class="elsevierStyleItalic">p</span>-value <0.001; SIII<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.822, <span class="elsevierStyleItalic">p</span>-value <0.001; SIII/TV<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.742, <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001). The AUCs that differentiated the HCG from the AAG in spirometry were: FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.814 (<span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and FEV<span class="elsevierStyleInf">1</span> (predicted %)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.726 (<span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). Between the HCG and CFG, the FEV<span class="elsevierStyleInf">1</span> and FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %) values were different (<span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05; AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.712 and 0.702, respectively).</p><p id="par0115" class="elsevierStylePara elsevierViewall">The discrimination of the AAG from the CFG in individuals with normal spirometry was done by KPIv (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.702, <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.003) and FEV<span class="elsevierStyleInf">1</span>/FVC (%) (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.683, <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006).</p><p id="par0120" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a> presents the relation between spirometry and KPIv markers on the three groups studied.</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Discussion</span><p id="par0125" class="elsevierStylePara elsevierViewall">To the best of the authors’ knowledge, no other studies assessed the ability of the VCap markers to discriminate individuals with asthma from individuals with CF and healthy controls, in comparison to spirometry markers. Moreover, an unprecedented and robust finding was that SIII, SIII/TV and KPIv were different among the three groups assessed, with highest values for CF. The FEV<span class="elsevierStyleInf">1</span>/FVC was the only marker of spirometry with difference on the three groups. In addition, on individuals with normal spirometry, KPIv, and FEV<span class="elsevierStyleInf">1</span>/FVC were different among the three groups. Moreover, the ROC curve identified the individuals with asthma or CF from the control group, both through VCap (better to identify CF in relation to the control using KPIv) and spirometry (better to identify asthma in relation to the control). KPIv was the best parameter to distinguish asthma from CF, even in individuals with normal spirometry.</p><p id="par0130" class="elsevierStylePara elsevierViewall">The search for methods to evaluate pulmonary function in children and adolescents with chronic lung diseases with airway obstruction is a constant struggle in the scientific community. Spirometry is the most used instrument for randomized clinical trials as primary outcome.<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">19–22</span></a> However, the use of spirometry will always be criticized, despite its importance, mainly due to the large intrapersonal variability and the lack of equations for distinct populations. Therefore, comparing spirometry to other methods is promising.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Children present numerous chronic lung diseases with airway obstruction, and each of them presents greater or lesser degrees of inflammation and bronchial reactivity on upper and/or lower airways.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">1</span></a> Each assessment instrument will most likely have greater or lesser effectiveness depending on the chronic lung disease, as shown in <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a> for VCap and spirometry. The search to characterize the usefulness of these methods focuses on finding anatomical (computed tomography of the thorax) and functional (spirometry, impulse oscillometry system, lung clereance index [LCI], and plestimography, among others) alterations. Among the diseases included in the present study, asthma differs from CF considering the initial predominance of obstruction, maintenance, and progression of the fixed airway obstruction. Asthma affects the larger airways; if left untreated, progresses to the smaller airways.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">23</span></a> In turn, the opposite happens in CF: the disease starts on the small airways and progresses toward the large airways.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">24</span></a> These findings are illustrated in <a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>.</p><p id="par0140" class="elsevierStylePara elsevierViewall">VCap slopes assess the volumetric part of the airways, where the movement of gases occurs by diffusion. Conversely, spirometry better evaluates flow alterations on the conducting airways, as the movement of gases in this region is more intense due to convection. Therefore, it was expected that there were differences between the results of these instruments on the evaluation of the numerous chronic lung diseases with airway obstruction in children, resulting from compromises in proximal or distal airways.</p><p id="par0145" class="elsevierStylePara elsevierViewall">Gustafsson et al. compared asthma and CF using LCI and spirometry; their results, as well as the present results, suggest that the airway alterations in CF affect the lung periphery more extensively than in asthma.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">25</span></a> Moreover, Fuchs et al. presented the association between KPIv from VCap and LCI.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">9</span></a> In the present data, differences were observed between spirometry and VCap in the HCG, AAG, and CFG, as well as the presence of concurrently altered spirometry and KPIv in the CFG. Additionally, normal spirometry occurred in the CFG and AAG (as well as in the HCG group). Numerous patients with CF and normal spirometry presented altered KPIv, suggesting that the alterations assessed by VCap can occur earlier than in spirometry; this fact was previously documented regarding other VCap markers and LCI.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">13,26</span></a> A similar behavior was observed between the LCI and FEV<span class="elsevierStyleInf">1</span> in CF.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">27</span></a> In turn, patients with asthma may present altered spirometry with normal KPIv, suggesting that flow alterations are more frequent and affect the proximal airways. Patients with asthma who present normal spirometry and altered KPIv would be harder to explain. These individuals could present less known phenotypes that should be assessed with functional and inflammatory biomarkers to characterize the type of asthma.</p><p id="par0150" class="elsevierStylePara elsevierViewall">To highlight the importance of VCap on the assessment of pulmonary diseases versus spirometry, the authors used the ROC curve to discriminate between the different groups. In the present data, VCap was proven to be a useful instrument to differentiate patients with CF from healthy controls (on both adults and children)<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">6,13</span></a> and to differentiate children, adolescents, and adults with asthma from their healthy peers.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">10,28</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">The spirometry markers (FEV<span class="elsevierStyleInf">1</span> and FEV<span class="elsevierStyleInf">1</span>/FVC) were better than the VCap to differentiate the AAG and HCG on the ROC curve. Conversely, VCap markers presented a greater AUC to distinguish CFG and HCG. O’Neal et al. found a higher AUC with LCI than with spirometry, when differentiating CF and healthy controls.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">18</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">Spirometry and VCap were effective to differentiate healthy individuals from patients with pulmonary disease. Regarding the difference between AAG and CFG, only KPIv and FEV<span class="elsevierStyleInf">1</span>/FVC were significant, and KPIv was higher (AUC<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.700).</p><p id="par0165" class="elsevierStylePara elsevierViewall">When evaluating the individuals with normal spirometry, VCap markers indicated a greater compromise of the ventilation homogeneity on CF and AAG compared to the control group. However, VCap was better than spirometry to differentiate the HCG from the CFG. In this situation, VCap was also better than spirometry to discriminate between the CFG and AAG, considering an AUC<span class="elsevierStyleHsp" style=""></span>≥<span class="elsevierStyleHsp" style=""></span>0.700.</p><p id="par0170" class="elsevierStylePara elsevierViewall">The present study had some limitations: (i) it did not have a prospective design and the VCap measures were not repeated; (ii) VCap is limited to assess clinimetric properties and this does not change the perception of the potential of VCap as clinical and scientific instrument in the context of pulmonary diseases in pediatrics; (iii) the sample size was chosen by convenience; and (iv) only one center was enrolled.</p><p id="par0175" class="elsevierStylePara elsevierViewall">In conclusion, the present study showed that the SIII, SIII/TV, and KPIv obtained from VCap, and the FEV<span class="elsevierStyleInf">1</span> and FEV<span class="elsevierStyleInf">1</span>/FVC from spirometry, were good markers to discriminate the HCG from AAG and CFG. The authors believe that for each chronic lung diseases with airway obstruction, different markers of pulmonary function deterioration will be more useful. Finally, VCap can describe earlier and more accurately the pathophysiology of CF than spirometry.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Conflicts of interest</span><p id="par0180" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1322284" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1219613" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1322285" "titulo" => "Resumo" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst9025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0025" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusão" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1219612" "titulo" => "Palavras-chave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Volumetric capnography" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Spirometry" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0030" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0035" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0040" "titulo" => "Conflicts of interest" ] 9 => array:2 [ "identificador" => "xack456119" "titulo" => "Acknowledgements" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2018-08-15" "fechaAceptado" => "2018-10-14" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1219613" "palabras" => array:5 [ 0 => "Asthma" 1 => "Cystic fibrosis" 2 => "Pulmonary function" 3 => "Spirometry" 4 => "Volumetric capnography" ] ] ] "pt" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palavras-chave" "identificador" => "xpalclavsec1219612" "palabras" => array:5 [ 0 => "Asma" 1 => "Fibrose cística" 2 => "Função pulmonar" 3 => "Espirometria" 4 => "Capnografia volumétrica" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To compare the values of the markers for volumetric capnography and spirometry and their ability to classify children and adolescents with asthma, cystic fibrosis (CF), and healthy controls.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">This was a cross-sectional study that included 103 patients with controlled persistent allergic asthma, 53 with CF and a healthy control group with 40 volunteers (aged 6 to 15 years), of both sexes. The individuals underwent volumetric capnography and spirometry.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Phase III slope (SIII), SIII standardized by exhaled tidal volume (SIII/TV) and capnographic index (SIII/SII)<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>100 (KPIv) were different among the three groups assessed, with highest values for CF. The relation between the forced expiratory volume in one second and the forced vital capacity (FEV<span class="elsevierStyleInf">1</span>/FVC) was the only spirometric marker that presented difference on the three groups. On individuals with normal spirometry, KPIv and FEV<span class="elsevierStyleInf">1</span>/FVC were different among the three groups. The ROC curve identified the individuals with asthma or CF from the control group, both through volumetric capnography (better to identify CF in relation to the control using KPIv) and through spirometry (better to identify asthma in relation to the control). KPIv was the best parameter to distinguish asthma from CF, even in individuals with normal spirometry.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Volumetric capnography and spirometry identified different alterations in lung function on asthma, CF, and healthy controls, allowing the three groups to be distinguished.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "pt" => array:3 [ "titulo" => "Resumo" "resumen" => "<span id="abst9025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect9035">Objetivo</span><p id="spar9025" class="elsevierStyleSimplePara elsevierViewall">Comparar os valores dos marcadores para capnografia volumétrica e espirometria e sua capacidade de classificar crianças e adolescentes com asma, fibrose cística (FC) e controles saudáveis.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Métodos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Comparar os valores dos marcadores para capnografia volumétrica e espirometria e sua capacidade de classificar crianças e adolescentes com asma, fibrose cística (FC) e controles saudáveis.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Foi realizado um estudo transversal que incluiu 103 pacientes com asma alérgica persistente controlada, 53 com FC e um grupo controle saudável com 40 voluntários (6 a 15 anos), de ambos os sexos. Os indivíduos foram submetidos a capnografia volumétrica e espirometria.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">O <span class="elsevierStyleItalic">slope</span> da fase III (SIII), SIII padronizada pelo volume tidal exalado (SIII/VT) e o índice capnográfico (SIII/SII)<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>100 (KPIv) foram diferentes entre os três grupos avaliados, com maiores valores para o grupo FC. A relação entre o volume expiratório forçado no primeiro segundo e a capacidade vital forçada (VEF<span class="elsevierStyleInf">1</span>/CVF) foi o único marcador de espirometria com diferenças nos três grupos. Nos indivíduos com espirometria normal, o KPIv e VEF<span class="elsevierStyleInf">1/</span>CVF foram diferentes entre os três grupos. A curva ROC diferenciou os indivíduos com asma ou FC daqueles do grupo controle, ambos através da capnografia volumétrica (melhor para identificar a FC em relação aos controles pelo KPIv) e por meio da espirometria (melhor para identificar a asma em relação aos controles). O KPIv foi o melhor parâmetro para distinguir a asma da FC, mesmo em indivíduos com espirometria normal.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusão</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">A capnografia volumétrica e a espirometria identificaram diferentes alterações de função pulmonar na asma, na FC e nos controles saudáveis, permitiram que os três grupos fossem diferenciados.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst9025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0025" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 3 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusão" ] ] ] ] "NotaPie" => array:2 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Please cite this article as: Almeida-Junior A, Marson FA, Almeida CC, Ribeiro MÂ, Paschoal IA, Moreira MM, et al. Volumetric capnography <span class="elsevierStyleItalic">versus</span> spirometry for the evaluation of pulmonary function in cystic fibrosis and allergic asthma. J Pediatr (Rio J). 2020;96:255–63.</p>" ] 1 => array:2 [ "etiqueta" => "☆☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">The study was performed at the Laboratório de Fisiologia Pulmonar (Lafip), Centro de Investigação em Pediatria (Ciped), Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas, SP, Brazil.</p>" ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1621 "Ancho" => 2925 "Tamanyo" => 265987 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Association of the parameters measured in volumetric capnography between healthy control individuals (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40) and patients with asthma (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103), and cystic fibrosis (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53). Data presented by the median (red dot) and 95% confidence interval (green intersection). (A) SIII (healthy control) 12.08; (asthma) 17.55; (cystic fibrosis – CFG) 27.86. (B) SIII/TV: SIII: (healthy control) 0.03; (asthma) 0.05; (CFG) 0.08. (C). KPIv: (healthy control) 2.53; (asthma) 3.41; (CFG) 4.96. Data are presented as median. Alpha<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.05. All data presented <span class="elsevierStyleItalic">p</span>-value with positive association (<span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05). The SII and SIII are presented in mmHg, millimeters of mercury. Statistical analysis was performed using the Mann–Whitney test, and the authors compared two groups each time. mmHg, millimeters of mercury; L, liters; TV, exhaled tidal volume; SII, phase II slope; SIII, phase III slope; KPIv, ratio between the SII and SIII multiplied by 100.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 965 "Ancho" => 3167 "Tamanyo" => 238744 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Area under the curve for volumetric capnography and spirometry between the control group (HCG, <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40), the group of patients with asthma (AAG, <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103), and the group of patients with cystic fibrosis (CFG, <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53). TV, exhaled tidal volume; SIII, phase III slope; KPIv, ratio between the SII and SIII multiplied by 100; FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in one second of the FVC; FVC, forced vital capacity; FEF<span class="elsevierStyleInf">25–75%</span>, forced expiratory flow between 25% and 75% of the FVC.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1817 "Ancho" => 3175 "Tamanyo" => 601011 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Association of KPIv on volumetric capnography with spirometry markers between healthy control individuals (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40) and patients with asthma (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103) or cystic fibrosis (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53), considering the distinction between spirometry markers above and below the LLN (80%) and KPIv above and below the ULN (KPIv<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4.23). (A) KPIv <span class="elsevierStyleItalic">versus</span> FEV<span class="elsevierStyleInf">1</span> (predicted %). (B) KPIv <span class="elsevierStyleItalic">versus</span> FVC (predicted %). (C) KPIv <span class="elsevierStyleItalic">versus</span> FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %). (D) KPIv <span class="elsevierStyleItalic">versus</span> FEF<span class="elsevierStyleInf">25–75%</span> (predicted %). Each graph is divided into four quadrants corresponding to the following conditions: Altered KPIv and spirometry marker; altered KPIv and normal spirometry marker; normal KPIv and altered spirometry marker; normal KPIv and spirometry marker. KPIv, ratio between the SII and SIII multiplied by 100; FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in one second of the FVC; FVC, forced vital capacity; FEF<span class="elsevierStyleInf">25–75%</span>, forced expiratory flow between 25% and 75% of the FVC; LLN, lower limit of normal; ULN, upper limit of normal. Black circle, healthy control individuals; green circle, patients with asthma; red triangle, patients with cystic fibrosis.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">kg, kilogram; cm, centimeter; mL, milliliters; mmHg, millimeters of mercury; L, liters; TV, exhaled tidal volume; SII, phase II slope; SIII, phase III slope; KPIv, ratio between the SII and the SIII multiplied by 100; FEV<span class="elsevierStyleInf">1</span>, forced expiratory volume in one second of the FVC; FVC, forced vital capacity; FEF<span class="elsevierStyleInf">25–75%</span>, forced expiratory flow between 25% and 75% of the FVC. Data are presented as median (minimum–maximum). Statistical analysis was performed using the Mann–Whitney test, and the authors compared two groups each time. Alpha<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.05. <span class="elsevierStyleItalic">p</span>-Values with positive association are presented in bold. The area under the curve was measured by the ROC curve.</p>" "tablatextoimagen" => array:4 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Markers \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CFG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> AAG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG <span class="elsevierStyleItalic">versus</span> CFG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.51 (6.52 to 15.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.91 (6.21 to 15.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.29 (6.02 to 15.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.167 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.647 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.071 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Weight (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.55 (18.60 to 89.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.5 (15.80 to 65.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.60 (16.90 to 62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.096 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Height (cm) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">147 (110 to 168.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">143.50 (110 to 175) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">135 (108 to 181) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.613 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.021</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.007</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SII (mmHg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">461.59 (255.60 to 857.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">506.60 (267 to 1051.10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">467.15 (236.60 to 1179.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.101 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.798 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.23 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII (mmHg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.31 (4.50 to 27.70) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.55 (5.60 to 51.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.86 (6.50 to 69.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SII/TV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.17 (0.35 to 3.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.44 (0.21 to 4.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.41 (0.32 to 5.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.043 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.203 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.688 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII/TV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 (0.004 to 0.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.05 (0.004 to 0.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.08 (0.012 to 0.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">KPIv \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.53 (1.25 to 4.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.41 (1.79 to 10.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.96 (1.63 to 16.94) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">101.27 (74.64 to 126.70) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.71 (26.32 to 121.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82.01 (35.42 to 113.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.741 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.11 (−2.12 to 2.34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.57 (−5.79 to 1.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.47 (−5.27 to 1.14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.789 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">97.15 (82.48 to 118.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.42 (51.63 to 148.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86.40 (53.05 to 116.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.051 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.24 (−1.51 to 1.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.82 (−4.27 to 3.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.17 (−4.16 to 1.33) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.062 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">104.19 (89.26 to 112.26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.43 (50.52 to 112.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95.79 (67.06 to 109.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.011</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 (−1.49 to 2.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.31 (−4.44 to 2.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.60 (−3.55 to 1.46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.013</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25–75%</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">107.59 (35.48 to 142.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.79 (8.75 to 137.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">67.79 (12.23 to 129.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.294 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25–75%</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.34 (−3.31 to 1.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.79 (−6.28 to 1.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.60 (−5.83 to 1.24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.203 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2266519.png" ] ] 1 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="7" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Individuals with normal spirometry values</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Markers \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>39) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>57) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CFG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>28) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> AAG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG <span class="elsevierStyleItalic">versus</span> CFG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII (mmHg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.31 (4.53 to 27.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.88 (6.78 to 37.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21.77 (6.46 to 56.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.065 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII/TV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 (0.004 to 0.13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.05 (0.01 to 0.18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.08 (0.01 to 0.32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.350 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">KPIv \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.55 (1.25 to 4.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.14 (1.79 to 10.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.47 (1.63 to 14.33) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.002</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">101.41 (84.27 to 126.70) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.93 (80.23 to 121.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92.78 (80.65 to 113.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.779 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.13 (−1.30 to 2.34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.75 (−1.67 to 1.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.61 (−1.67 to 1.14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.793 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">97.25 (82.48 to 118.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95.79 (80.14 to 148.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92.15 (81.70 to 112.46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.389 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.069 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.266 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.23 (−1.51 to 1.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.37 (−1.65 to 3.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.67 (−1.57 to 1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.389 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.071 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.282 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">104.31 (90.67 to 112.26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95.23 (80.58 to 112.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">99.67 (90.30 to 109.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.005</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.006</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.77 (−1.27 to 2.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.69 (−2.32 to 2.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.06 (−1.37 to 1.46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.005</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.007</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25–75%</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">108.20 (63.49 to 142.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82.61 (63.28 to 135.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">90.56 (72.94 to 129.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.221 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.081 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25–75%</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.35 (−1.64 to 1.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.78 (−1.64 to 1.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.42 (−1.19 to 1.24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.204</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">0.069 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2266520.png" ] ] 2 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="7" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Area under the curve for volumetric capnography and spirometry between control group (HCG; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>40), group of patients with asthma (AAG; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>103) and group of patients with cystic fibrosis (CFG; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>53)</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Markers \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG <span class="elsevierStyleItalic">versus</span> CFG \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> AAG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG <span class="elsevierStyleItalic">versus</span> CFG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII (mmHg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.782<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.899<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.722<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII/TV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.732<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.831<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.660<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">KPIv \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.737<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.927<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.763<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.836<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.836<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.516<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.741 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.839<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.838<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.513<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.789 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.685<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.756<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.596<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.051 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.686<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.754<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.591<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.062 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.863<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.799<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.624<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.011</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.864<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.800<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.622<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.013</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25–75%</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.839<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.778<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.551<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.294 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25–75%</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.843<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.780<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.562<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">0.203 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2266518.png" ] ] 3 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="7" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Patients with normal spirometry. HCG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>39), AAG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>57) and CFG (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>28)</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Markers \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG <span class="elsevierStyleItalic">versus</span> CFG \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> AAG (<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HCG <span class="elsevierStyleItalic">versus</span> CFG(<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AAG <span class="elsevierStyleItalic">versus</span> CFG(<span class="elsevierStyleItalic">p</span>-value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII (mmHg/L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.768<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.822<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.623<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.065 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIII/TV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.730<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.742<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.563<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.350 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">KPIv \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.686<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.866<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.702<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.002</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.726<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.712<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.519<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.779 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.732<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.717<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.518<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.003</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.793 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.552<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.631<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.575<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.389 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.069 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.266 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.552<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.630<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.572<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.389 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.071 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.282 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.814<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.702<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.683<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.005</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.006</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEV<span class="elsevierStyleInf">1</span>/FVC (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.815<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.701<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.681<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.005</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">0.007</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25a75%</span> (predicted %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.740<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.596<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.634<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.221 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.081 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">FEF<span class="elsevierStyleInf">25a75%</span> (<span class="elsevierStyleItalic">Z</span>-score) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.745<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.600<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.640<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold"><0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.204 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.069 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2266517.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">A smaller result indicates a positive test.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">A higher result indicates a positive test.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Association of anthropometric variables and data obtained through volumetric capnography and spirometry between the healthy control group (HCG) and patients with asthma (AAG) or cystic fibrosis (CFG).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:28 [ 0 => array:3 [ "identificador" => "bib0145" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chronic obstructive pulmonary diseases in children" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "J.D. Ribeiro" 1 => "G.B. Fischer" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "J Pediatr (Rio J)" "fecha" => "2015" "volumen" => "91" "paginaInicial" => "S11" "paginaFinal" => "S25" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0150" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lung function studies; the respiratory dead space" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "W.S. 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Abrosimov" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "CTM" "fecha" => "2017" "volumen" => "9" "paginaInicial" => "93" "paginaFinal" => "101" ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack456119" "titulo" => "Acknowledgements" "texto" => "<p id="par0185" class="elsevierStylePara elsevierViewall">FALM: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) for research grants and scholarships #2011/12939-4, #2011/18845-1, #2015/12183-8 and #2015/12858-5; Fundo de Apoio à Pesquisa, ao Ensino e à Extensão da Universidade Estadual de Campinas for research support #0648/2015; JDR: FAPESP for research assistance 2011/18845-1 and #2015/12183-8.</p><p id="par0190" class="elsevierStylePara elsevierViewall">To Luciana Montes Rezende, Luciana Cardoso Bonadia, Maria de Fátima Corrêa Pimenta Servidoni, Carlos Emílio Levy, Adressa Oliveira Peixoto, Adyléia Aparecida Contrera Dalbo Toro, Renan Marrichi Mauch, Roberto José Negrão Nogueira, Eulália Sakano, Antônio Fernando Ribeiro, Carla Cristina de Souza Gomez, Elizete Aparecida Lomazi, Paloma Lopes Francisco Parazzi, Larissa Lazzarini Furlan, Emília da Silva Gonçalves, Aline Cristina Gonçalves, Milena Baptistella Grotta Silva, and Alethea Guimarães Faria, who contribute to studies carried out on cystic fibrosis in our reference center.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/00217557/0000009600000002/v1_202003290632/S0021755718309094/v1_202003290632/en/main.assets" "Apartado" => array:4 [ "identificador" => "10179" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/00217557/0000009600000002/v1_202003290632/S0021755718309094/v1_202003290632/en/main.pdf?idApp=UINPBA000049&text.app=https://jped.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0021755718309094?idApp=UINPBA000049" ]
Year/Month | Html | Total | |
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2024 November | 3 | 2 | 5 |
2024 October | 37 | 40 | 77 |
2024 September | 47 | 37 | 84 |
2024 August | 53 | 69 | 122 |
2024 July | 79 | 69 | 148 |
2024 June | 37 | 39 | 76 |
2024 May | 28 | 16 | 44 |
2024 April | 47 | 39 | 86 |
2024 March | 37 | 23 | 60 |
2024 February | 33 | 22 | 55 |
2024 January | 30 | 30 | 60 |
2023 December | 29 | 28 | 57 |
2023 November | 49 | 45 | 94 |
2023 October | 37 | 42 | 79 |
2023 September | 40 | 44 | 84 |
2023 August | 24 | 17 | 41 |
2023 July | 27 | 11 | 38 |
2023 June | 18 | 11 | 29 |
2023 May | 29 | 13 | 42 |
2023 April | 35 | 13 | 48 |
2023 March | 52 | 26 | 78 |
2023 February | 42 | 17 | 59 |
2023 January | 31 | 13 | 44 |
2022 December | 54 | 27 | 81 |
2022 November | 35 | 26 | 61 |
2022 October | 49 | 37 | 86 |
2022 September | 35 | 41 | 76 |
2022 August | 43 | 28 | 71 |
2022 July | 34 | 30 | 64 |
2022 June | 44 | 35 | 79 |
2022 May | 46 | 27 | 73 |
2022 April | 84 | 32 | 116 |
2022 March | 38 | 42 | 80 |
2022 February | 18 | 28 | 46 |
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2021 December | 20 | 18 | 38 |
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2021 October | 25 | 17 | 42 |
2021 September | 22 | 7 | 29 |
2021 August | 9 | 3 | 12 |
2021 July | 9 | 7 | 16 |
2021 June | 11 | 7 | 18 |
2021 May | 15 | 15 | 30 |
2021 April | 43 | 32 | 75 |
2021 March | 15 | 10 | 25 |
2021 February | 11 | 9 | 20 |
2021 January | 11 | 5 | 16 |
2020 December | 16 | 10 | 26 |
2020 November | 14 | 14 | 28 |
2020 October | 18 | 9 | 27 |
2020 September | 18 | 21 | 39 |
2020 August | 35 | 7 | 42 |
2020 July | 16 | 8 | 24 |
2020 June | 12 | 8 | 20 |
2020 May | 37 | 5 | 42 |
2020 April | 23 | 14 | 37 |
2020 March | 9 | 7 | 16 |
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2019 December | 20 | 6 | 26 |
2019 November | 9 | 6 | 15 |
2019 October | 20 | 15 | 35 |
2019 September | 18 | 12 | 30 |
2019 August | 18 | 10 | 28 |
2019 July | 18 | 12 | 30 |
2019 June | 11 | 9 | 20 |
2019 May | 6 | 6 | 12 |
2019 April | 17 | 21 | 38 |
2019 March | 4 | 4 | 8 |
2019 February | 6 | 5 | 11 |
2019 January | 8 | 13 | 21 |
2018 December | 6 | 8 | 14 |