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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0007">Introduction</span><p id="para0006" class="elsevierStylePara elsevierViewall">Kawasaki disease &#40;KD&#41;&#44; also known as mucocutaneous lymph node syndrome&#44; is an acute febrile vasculitis of unknown etiology that occurs predominantly in children under five years of age&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> The incidence of KD is increasing&#44; and the highest relative risk is in Asian children&#44; especially in East Asia&#46;<a class="elsevierStyleCrossRefs" href="#bib0002"><span class="elsevierStyleSup">2-5</span></a> The most common complication caused by KD is coronary artery lesions &#40;CALs&#41;&#44; including coronary artery dilatation&#44; coronary artery aneurysm &#40;CAA&#41;&#44; and life-threatening myocardial infarction&#46;<a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> KD has overtaken acute rheumatic fever as the most common cause of acquired heart disease in developed countries&#46;<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a> Intravenous immunoglobulin &#40;IVIG&#41; effectively reduces the prevalence of coronary artery abnormalities when administered early in the course of KD and is now used regularly&#46;<a class="elsevierStyleCrossRef" href="#bib0008"><span class="elsevierStyleSup">8</span></a> Nevertheless&#44; approximately 10&#8211;20&#37; of KD patients are resistant to IVIG treatment and are at higher risk for developing CALs&#46;<a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a> Since the primary purpose of KD treatment is to prevent the development of CALs&#44; early prediction of CALs is crucial for improving treatment outcomes in children with KD&#46;</p><p id="para0007" class="elsevierStylePara elsevierViewall">C-reactive protein &#40;CRP&#41; is a nonspecific and recognized inflammatory biomarker that increases in response to inflammation and plays a critical role in the acute phase of KD&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a> A high CRP level &#40;&#8805;30&#160;mg&#47;L&#41; serves as one of the criteria to confirm incomplete KD recommended in the American Heart Association guidelines &#40;AHA&#41;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a>&#46; CALs are also frequently observed in KD patients with low CRP levels&#44; although high CRP levels are expected in KD&#46;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a> Previous studies have shown that CRP has predictive value for IVIG resistance&#46;<a class="elsevierStyleCrossRef" href="#bib0012"><span class="elsevierStyleSup">12</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0013"><span class="elsevierStyleSup">13</span></a> However&#44; the literature on CRP predicting CALs in patients with KD is limited&#44;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a> and the conclusions are debatable&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a> In addition&#44; the correlation between CRP and CALs is also controversial&#46;<a class="elsevierStyleCrossRef" href="#bib0016"><span class="elsevierStyleSup">16</span></a></p><p id="para0008" class="elsevierStylePara elsevierViewall">Therefore&#44; the authors conducted a retrospective study to evaluate the value of CRP in predicting CALs in children with KD&#46; The purpose of the present study is to provide the literature on the use of CRP for early prediction of CALs to strengthen the prevention and treatment of KD patients as early as possible&#46;</p></span><span id="sec0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0008">Methods</span><p id="para0009" class="elsevierStylePara elsevierViewall">The study protocol was approved by the ethics committee of Chengdu Women&#39;s and Children&#39;s Central Hospital &#40;approval number 202214&#41;&#46; The requirement for informed patient consent was waived&#46; All methods were performed in accordance with the Declaration of Helsinki&#46;</p><span id="sec0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0009">Study design&#44; setting&#44; and study subjects</span><p id="para0010" class="elsevierStylePara elsevierViewall">Patients with KD were retrospectively recruited at Chengdu Women&#39;s and Children&#39;s Central Hospital between January 2017 and December 2019&#46; The diagnosis of KD &#40;including incomplete KD&#41; was made according to the 2017 AHA guideline<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> and confirmed by two experienced KD specialists&#46;</p><p id="para0011" class="elsevierStylePara elsevierViewall">The inclusion criteria&#58; &#40;1&#41; patients with an initial diagnosis of KD&#44; &#40;2&#41; &#60;18 years old&#44; &#40;3&#41; received standard treatment with IVIG 2&#160;g&#47;kg as a single infusion in the acute phase&#46; The authors excluded patients who met the exclusion criteria&#58; &#40;1&#41; patients with severe infection&#44; allergy&#44; or systemic juvenile idiopathic arthritis&#44; or &#40;2&#41; recurrent KD&#44; or &#40;3&#41; who refused treatment with IVIG or received an initial IVIG dose of less than 2&#160;g&#47;kg&#44; or &#40;4&#41; who had received IVIG treatment in the first 3 months after enrollment&#44; &#40;5&#41; patients with unavailable clinical or laboratory data&#46;</p></span><span id="sec0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0010">Standard treatment protocol</span><p id="para0012" class="elsevierStylePara elsevierViewall">All patients were treated with 2&#160;g&#47;kg IVIG as a single infusion within 12&#160;h of KD diagnosis and received aspirin at a dose of 30&#8211;50&#160;mg&#47;kg&#47;day during the acute phase&#46; Aspirin &#40;3&#8211;5&#160;mg&#47;kg&#47;day&#41; was administered for 6&#8211;8 weeks until all signs of inflammation had resolved or regression of CAL was observed on two-dimensional echocardiography&#46; Additional IVIG &#40;2&#160;g&#47;kg&#41; was administered if patients had a persistent fever for more than 36&#160;h or had recurrent fever associated with KD symptoms after an afebrile phase&#46; Other therapies&#44; including prednisolone&#44; were not used in the initial treatment&#46; IVIG resistance was defined as recurrent or persistent fever for at least 36&#160;h but no longer than 7 days after initial IVIG treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a></p></span><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0011">Data collection and group assignment</span><p id="para0013" class="elsevierStylePara elsevierViewall">All data were obtained from medical records&#44; including demographic data&#44; laboratory data&#44; and clinical outcomes&#46; Laboratory data were collected before the initial IVIG treatment&#46; Coronary artery diameter was measured by echocardiography before the first IVIG treatment&#46;</p><p id="para0014" class="elsevierStylePara elsevierViewall">Patients were divided into two groups according to whether they were complicated with CALs in the acute KD phase&#58; the CALs group and the non-CALs group&#46; CALs were defined based on the normalization of body surface area dimensions as Z-scores as follows according to the 2017 AHA guideline<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a>&#58; &#40;1&#41; no involvement &#40;Z-score &#60;2&#46;0&#41;&#59; &#40;2&#41; dilation &#40;Z-score &#8805;2&#46;0 to &#60;2&#46;5&#41;&#44; &#40;3&#41; aneurysm &#40;Z-score &#8805;2&#46;5 to &#60;5 for a small aneurysm&#59; Z-score &#8805;5 to &#60;10 for a medium aneurysm&#59; Z-score &#8805;10 for a giant aneurysm&#41; of the coronary arteries&#44; based on the maximum internal diameters of the right coronary artery&#44; left anterior descending artery and left circumflex coronary artery&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0017"><span class="elsevierStyleSup">17</span></a> All KD patients underwent standardized echocardiograms by an experienced ultrasonographer during the acute phase&#46;</p></span><span id="sec0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0012">Statistical analysis</span><p id="para0015" class="elsevierStylePara elsevierViewall">The normality of the distribution of variables was checked using the Shapiro&#8211;Wilk test&#46; Continuous variables were expressed as means&#160;&#177;&#160;standard deviations or median and IQR &#40;25th&#44; 75th percentiles&#41; if non-normally distributed&#46; Categorical variables were expressed by presenting the frequency and proportion in each category&#46; Chi-square analysis was applied for categorical variables&#44; and the Student-<span class="elsevierStyleItalic">t</span>-test or Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test was used based on the normality of variables for continuous variables&#46;</p><p id="para0016" class="elsevierStylePara elsevierViewall">The univariable and multivariable logistic regression models were constructed&#44; and results were expressed as odds ratios &#40;OR&#41; with a 95&#37; confidence interval &#40;CI&#41; to identify independent risk factors for CALs&#46; To assess the discriminatory capacity of CRP in predicting CALs&#44; the authors performed the receiver operating characteristic &#40;ROC&#41; curve analysis&#46; The authors performed subgroup analysis by dividing the CALs group into several subgroups based on CRP and hemoglobin &#40;HB&#41; according to Z-score&#46; The value of independent risk factors at different Z-score levels is using ANOVA or the Kruskal&#8211;Wallis test based on the normality of distribution&#46; The chi-square test was also applied to compare the ratio of the different Z-score groups in each independent risk factor&#44; and the Bonferroni test was used for further pairwise tests&#46; A <span class="elsevierStyleItalic">p</span>-value &#60;0&#46;05 was considered statistically significant&#46; All statistical tests were performed using SPSS 12&#46;0 for Windows XP &#40;SPSS&#44; Inc&#44; Chicago&#44; USA&#41;&#46;</p></span></span><span id="sec0007" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0013">Results</span><p id="para0017" class="elsevierStylePara elsevierViewall">A total of 1097 patients were diagnosed with KD &#40;including incomplete KD&#41;&#44; of whom 246 were excluded because 24 were accompanied by severe infectious disease&#44; 21 had recurrent KD&#44; 4 received an initial IVIG dose &#60;2&#160;g&#47;kg&#44; and 197 lacked laboratory data on serum CRP levels and coronary artery size &#40;Z scores&#41;&#46; Finally&#44; 851 patients were enrolled in the study and divided into two groups&#58; the CALs group &#40;<span class="elsevierStyleItalic">n</span>&#160;&#61;&#160;206&#41; and the non-CALs group &#40;<span class="elsevierStyleItalic">n</span>&#160;&#61;&#160;645&#41;&#46; The flowchart is shown in <a class="elsevierStyleCrossRef" href="#fig0001">Figure 1</a>&#46;</p><elsevierMultimedia ident="fig0001"></elsevierMultimedia><span id="sec0008" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0014">Basic demographic&#44; clinical and laboratory characteristics</span><p id="para0018" class="elsevierStylePara elsevierViewall">A total of 851 KD patients were included&#44; 60&#46;28&#37; of whom were men &#40;<span class="elsevierStyleItalic">n</span>&#160;&#61;&#160;513&#41;&#46; Of the 851 cases&#44; 206 had CALs &#40;<span class="elsevierStyleItalic">Z</span>&#160;&#8805;&#160;2&#41;&#44; accounting for 24&#46;21&#37;&#46; The general characteristics and laboratory indicators of patients with and without CALs are shown in <a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>&#46; There were no significant differences in white blood cell &#40;WBC&#41;&#44; platelet&#44; neutrophils &#40;&#37;&#41;&#44; lymphocyte &#40;&#37;&#41;&#44; alanine transaminase &#40;AST&#41;&#44; and erythrocyte sedimentation rate &#40;ESR&#41; between these two groups&#46;</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><p id="para0019" class="elsevierStylePara elsevierViewall">The CALs group had a longer hospitalization time and younger age than the non-CALs group &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; In addition&#44; children in the CALs group had a higher proportion of male gender&#44; incomplete KD&#44; and IVIG resistance than children in the non-CALs group &#40;all <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; Of the routine laboratory inflammatory indicators&#44; CRP and ALT levels were significantly higher in the CALs group than in the non-CALs group &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46;</p></span><span id="sec0009" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0015">Prediction for CALs development and ROC analysis</span><p id="para0020" class="elsevierStylePara elsevierViewall">The univariable and multivariable logistic regression models were constructed to identify independent risk factors for CALs&#46; The result is shown in <a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a>&#46; The multivariable logistic regression analysis showed that incomplete KD&#44; male&#44; lower hemoglobin &#40;HB&#41;&#44; and CRP were independent risk factors for CALs in KD patients &#40;all <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; The results of ROC curve analysis for CRP to predict CALs are shown in <a class="elsevierStyleCrossRef" href="#fig0002">Figure 2</a>&#59; the area under the ROC curve &#40;AUC&#41; was 0&#46;588 &#40;95&#37; CI&#160;&#61;&#160;0&#46;554&#8211;0&#46;622&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41;&#46; The sensitivity and specificity in predicting CALs were 47&#46;57&#37; and 69&#46;61&#37;&#44; respectively&#44; with a cut-off level of 105&#46;5&#160;mg&#47;L determined by the Youden index&#46; For HB&#44; the sensitivity and specificity in predicting CALs were 38&#46;83&#37; and 70&#46;08&#37;&#44; respectively&#44; with a cut-off value of 102&#160;g&#47;L&#46;</p><elsevierMultimedia ident="tbl0002"></elsevierMultimedia><elsevierMultimedia ident="fig0002"></elsevierMultimedia><p id="para0021" class="elsevierStylePara elsevierViewall">The authors also performed subgroup analysis by dividing the CALs group into multiple groups by Z score to compare CRP differences among subgroups with different degrees of CALs&#46; As shown in <a class="elsevierStyleCrossRef" href="#sec0016">Appendix S1</a> and <a class="elsevierStyleCrossRef" href="#sec0016">Appendix S2</a>&#44; there was no significant difference in CRP or HB between the subgroups with different degrees of CALs&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0016">Results of CALs in patients with high CRP or lower HB</span><p id="para0022" class="elsevierStylePara elsevierViewall">The authors use the cut-off value determined by Youden&#39;s index to compare the incidence of CALs in KD patients with different levels of CRP or HB&#46; There were 556 patients with a CRP level of &#60;105&#46;5&#160;mg&#47;L&#44; 108 of whom developed CALs &#40;32 dilations and 76 CAA&#41;&#46; There were 295 patients with a CRP level &#8805;105&#46;5&#160;mg&#47;L&#44; and 98 of them had CALs &#40;26 dilations and 72 CAA&#41;&#46; Meanwhile&#44; there were 80 KD patients with CALs in the lower HB group &#40;&#60;102&#160;g&#47;L&#41; and 126 KD patients with CALs in the higher HB group &#40;&#8805;102&#160;g&#47;L&#41;&#46; KD children with a higher CRP level &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; or a lower HB value &#40;&#60;102&#160;g&#47;L&#41; had a higher incidence of CALs than children with a lower CRP &#40;&#60;105&#46;5&#160;mg&#47;L&#41; &#40;33&#37; vs&#46; 19&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41; or higher HB &#40;29&#37; vs&#46; 22&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; Further Bonferroni test showed that KD patients with a higher CRP level &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; or a lower HB level &#40;&#60;102&#160;g&#47;L&#41; had a higher incidence of small aneurysms than children with a lower CRP &#40;&#60;105&#46;5&#160;mg&#47;L&#41; or higher HB &#40;&#8805;102&#160;g&#47;L&#41; &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41; &#40;<a class="elsevierStyleCrossRef" href="#sec0016">Appendix S3</a>&#41;&#46;</p><p id="para0023" class="elsevierStylePara elsevierViewall">There were 122 KD patients with a higher level of CRP &#40;105&#46;5&#160;mg&#47;L&#41; and lower HB level &#40;&#60;102&#160;g&#47;L&#41;&#44; 43 of whom developed CALs&#46; There were 729 patients with a CRP level &#8805; of 105&#46;5&#160;mg&#47;L&#44; and 163 had CALs&#46; Similarly&#44; KD patients with a higher level of CRP and lower HB had a higher incidence of CALs than children with a lower CRP and higher HB &#40;35&#37; vs&#46; 22&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#61;&#160;0&#46;01&#41; &#40;<a class="elsevierStyleCrossRef" href="#sec0016">Appendix S4</a>&#41;&#46;</p></span></span><span id="sec0011" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0017">Discussion</span><p id="para0024" class="elsevierStylePara elsevierViewall">In the present retrospective study&#44; the authors aimed to investigate the predictive value of CRP in predicting CALs in KD patients&#46; The results showed that CRP is an independent risk factor for the development of CALs in KD patients&#46; KD patients with CALs had a significantly higher CRP level than those without CALs&#46; In addition&#44; KD patients with a high CRP level &#40;&#8805; 105&#46;5&#160;mg&#47;L&#41; had a higher incidence of CAL than those with a low level&#46; The present study suggests that CRP is an independent predictive marker for CALs and may be useful in predicting CALs in KD patients&#46;</p><p id="para0025" class="elsevierStylePara elsevierViewall">The occurrence of CALs has dropped to 4&#37; of KD patients with timely standard IVIG and aspirin treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> CALs may lead to ischemia&#44; cardiogenic shock&#44; and even sudden cardiac death&#46;<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a> Therefore&#44; it is imperative to identify the risk factors for CALs in KD patients&#46; In the present study&#44; incomplete KD&#44; male gender&#44; low HB&#44; and high CRP were found to be independent risk factors for CALs in KD patients&#46; There are several North American<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> and Japanese risk-scoring systems &#40;e&#46;g&#46;&#44; Harada score&#44;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a> Kobayashi score&#44;<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> Egami score<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a>&#41; for predicting CAA or IVIG resistance&#46; Both the North American and the Japanese risk models showed that CRP and younger age were independent predictors of CAL occurrence&#44; which was consistent with the present results&#46; Moreover&#44; higher CRP and younger age were also highly associated with IVIG resistance in a North American<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> or Asian population&#46;<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> These results highlight the importance of vigilance for KD at a young age with higher CRP&#46; The present results showed that low HB was an independent risk factor for predicting CALs &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41;&#46; However&#44; the present study showed that HB had good specificity but low sensitivity &#40;38&#46;83&#37;&#41;&#44; which is less predictive than CRP for predicting CALs in Chinese KD children&#46; The present results were in line with previous investigations&#44; which reported similar findings&#46;<a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">24</span></a> The persistent and ongoing systemic inflammatory reactions affect all the medium-sized arteries&#44; especially the coronary arteries&#44; and in multiple tissues and organs&#44; which eventually cause the development of CALs in KD patients&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> Therefore&#44; high CRP levels are generally observed in KD patients&#46;</p><p id="para0026" class="elsevierStylePara elsevierViewall">CRP is a widely recognized acute-phase reactant protein that exhibits elevated expression in response to infection and inflammation&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a> CRP levels generally correlate with the degree of inflammation&#44; i&#46;e&#46;&#44; a higher level indicates a higher inflammatory status&#46;<a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a> Previous studies have shown that elevated CRP levels in adult patients with coronary artery disease may predict myocardial ischemia or sudden death&#46;<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a> The present results showed that KD patients with CALs had significantly higher CRP levels than those without CALs&#46; Furthermore&#44; the authors use the cut-off value to compare the incidence of CALs in KD patients with a higher or lower CRP level&#46; KD patients with a high CRP level &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; had a higher incidence of CAL than those with a low level&#46; Further Bonferroni test showed KD patients with a CRP level &#8805; of 105&#46;5&#160;mg&#47;L had a higher risk of small aneurysms than patients with a lower CRP level &#60;105&#46;5&#160;mg&#47;L&#46;</p><p id="para0027" class="elsevierStylePara elsevierViewall">Therefore&#44; the present data are consistent with the hypothesis that the inflammatory process is involved in CALs formation in KD patients&#46; The present findings suggest that CRP levels are not only elevated in KD patients with CALs but also reflect a continuing condition of vasculitis and may predict the size of CAL&#46; Previous studies also reported that the risk of CALs formation was higher in KD patients with severe vasculitis and inflammatory responses &#40;higher CRP level&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> Thus&#44; physicians should pay more attention to monitoring the clinical course of KD kids with a high level of CRP in terms of CALs development&#44; especially coronary artery aneurysm formation&#46;</p><p id="para0028" class="elsevierStylePara elsevierViewall">However&#44; subgroup analysis showed no significant difference in CRP levels among the different CALs classifications&#46; Therefore&#44; it should be noted that CRP alone does not always reflect the severity of KD&#44; although CRP is known to reflect the extent of systemic inflammation&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> Nevertheless&#44; CALs were also found in KD patients with low serum CRP levels&#44; suggesting that patients with low CRP levels may not represent a homogeneous group&#46; One possible explanation would be that an increase in CRP levels occurred after the initial sample test&#44; but further studies are needed to test such a hypothesis&#46; The low sensitivity of CRP &#40;47&#46;57&#37;&#41; in predicting CALs&#44; indicating the initial serum CRP level alone may not have better predictive power in the context of KD&#46;</p><span id="sec0012" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0018">Limitations</span><p id="para0029" class="elsevierStylePara elsevierViewall">This study has several limitations&#46; First&#44; the retrospective design limits the present research&#44; which inevitably leads to selection and information bias&#46; Second&#44; the authors could not evaluate inflammatory markers other than CRP and WBC&#46; Third&#44; all KD patients were Chinese&#44; which limits the generalizability of the results&#46; Therefore&#44; further prospective studies are needed to confirm the present results&#46;</p></span></span><span id="sec0013" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0019">Conclusions</span><p id="para0030" class="elsevierStylePara elsevierViewall">In conclusion&#44; the occurrence of CALs was significantly higher in patients with a high level of CRP&#46; CRP is an independent risk factor for CALs formation and may be useful for predicting CALs in KD patients&#46; The clinical course of KD patients should be carefully monitored&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0021">Funding</span><p id="para0032" class="elsevierStylePara elsevierViewall">This manuscript was supported by the <span class="elsevierStyleGrantSponsor" id="gs0001">Chengdu Medical Research Project</span> &#91;<span class="elsevierStyleGrantNumber" refid="gs0001">2022065</span>&#93;&#46;</p></span></span>"
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            0 => "Kawasaki disease&#44; KD"
            1 => "C-reactive protein&#44; CRP"
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        "titulo" => "Abstract"
        "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0002">Objective</span><p id="spara007" class="elsevierStyleSimplePara elsevierViewall">Since coronary artery lesions &#40;CALs&#41; are the most severe complication of Kawasaki disease &#40;KD&#41;&#44; clinically speaking&#44; early prediction of CALs is crucial&#46; The authors aimed to investigate the predictive value of C-reactive protein &#40;CRP&#41; in predicting CALs in KD patients&#46;</p></span> <span id="abss0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Methods</span><p id="spara008" class="elsevierStyleSimplePara elsevierViewall">KD patients were divided into the CALs group and the non-CALs group&#46; The clinical and laboratory parameters were collected and compared&#46; Multivariate logistic regression analysis was used to determine the independent risk factors of CALs&#46; The receiver operating characteristic curve was applied to determine the optimal cut-off value&#46;</p></span> <span id="abss0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Results</span><p id="spara009" class="elsevierStyleSimplePara elsevierViewall">851 KD patients who met the inclusion criteria were studied&#44; including 206 in the CALs group and 645 in the non-CALs group&#46; Children in the CALs group had significantly higher CRP levels than the non-CALs group &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; Multivariable logistic regression analysis showed that incomplete KD&#44; male&#44; lower hemoglobin&#44; and higher CRP were independent risk factors for predicting CAL &#40;all <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; The optimal cut-off value of initial serum CRP for predicting CALs was 105&#46;5&#160;mg&#47;L&#44; with a sensitivity of 47&#46;57&#37; and a specificity of 69&#46;61&#37;&#46; In addition&#44; KD patients with high CRP &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; had a higher occurrence of CALs than those with low CRP &#40;&#60;105&#46;5&#160;mg&#47;L&#41; &#40;33&#37; vs 19&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41;&#46;</p></span> <span id="abss0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0005">Conclusion</span><p id="spara010" class="elsevierStyleSimplePara elsevierViewall">The incidence of CALs was significantly higher in patients with high CRP&#46; CRP is an independent risk factor for CALs formation and may be useful for predicting CALs in KD patients&#46;</p></span>"
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                  \t\t\t\t\t\t</th><a name="en0002"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">CALs group</span><span class="elsevierStyleBold">&#40;<span class="elsevierStyleItalic">N</span></span>&#160;<span class="elsevierStyleBold">&#61;</span>&#160;<span class="elsevierStyleBold">206&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">non-CALs group</span><span class="elsevierStyleBold">&#40;<span class="elsevierStyleItalic">N</span></span>&#160;<span class="elsevierStyleBold">&#61;</span>&#160;<span class="elsevierStyleBold">645&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">U</span> or <span class="elsevierStyleItalic">&#967;<span class="elsevierStyleSup">2</span></span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0005"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">p</span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0006"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Age &#40;months&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0007"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19&#46;50 &#40;8&#46;00&#8211;42&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0008"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;00 &#40;14&#46;00&#8211;41&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0009"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">56&#44;470&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0010"></a><td class="td" title="\n
                  \t\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&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0011"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Gender</span>&#44; <span class="elsevierStyleItalic">n</span>&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0012"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0013"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">6&#46;694&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n
                  \t\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&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0016"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Male&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0017"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">140 &#40;68&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">373 &#40;57&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0019"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0021"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Female&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66 &#40;32&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">272 &#40;42&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0025"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0026"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Diagnosis</span>&#44; <span class="elsevierStyleItalic">n</span>&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0029"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">14&#46;510&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0031"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Complete&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">175 &#40;85&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0033"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">603 &#40;93&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0035"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0036"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Incomplete&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0037"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31 &#40;15&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42 &#40;6&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0041"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of illness at initial IVIG treatment &#40;day&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;00 &#40;5&#46;00&#8211;7&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0043"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;00 &#40;5&#46;00&#8211;7&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">60&#44;137&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0045"></a><td class="td" title="\n
                  \t\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&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0046"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of hospitalization &#40;day&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&#46;00 &#40;6&#46;00&#8211;10&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#46;00 &#40;6&#46;00&#8211;8&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0049"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">50&#44;430&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0051"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">IVIG resistance</span>&#44; <span class="elsevierStyleItalic">n</span>&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29 &#40;14&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0053"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59 &#40;9&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4&#46;094&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n
                  \t\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&#46;043&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0056"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">WBC count &#40;&#215;10<span class="elsevierStyleSup">9</span>&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0057"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;03 &#40;10&#46;90&#8211;17&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;79 &#40;10&#46;59&#8211;17&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">64&#44;640&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n
                  \t\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&#46;559&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0061"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Hemoglobin &#40;g&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n
                  \t\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&#46;00 &#40;98&#46;75&#8211;113&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">108&#46;00 &#40;100&#46;00&#8211;116&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0064"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">60&#44;011&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0065"></a><td class="td" title="\n
                  \t\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&#46;036&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0066"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Platelet &#40;&#215;10<span class="elsevierStyleSup">9</span>&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0067"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">358&#46;00 &#40;276&#46;00&#8211;473&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0068"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">343&#46;00 &#40;272&#46;50&#8211;429&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0069"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">61&#44;970&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n
                  \t\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&#46;146&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0071"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Neutrophils &#40;&#37;&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&#46;10 &#40;54&#46;48&#8211;76&#46;35&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0073"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&#46;70 &#40;56&#46;25&#8211;77&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">66&#44;233&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n
                  \t\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&#46;948&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0076"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Lymphocyte &#40;&#37;&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0077"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;85 &#40;14&#46;75&#8211;34&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;20 &#40;15&#46;20&#8211;32&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0079"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">65&#44;786&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0080"></a><td class="td" title="\n
                  \t\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&#46;833&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0081"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">CRP &#40;mg&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&#46;00 &#40;53&#46;75&#8211;152&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">75&#46;00 &#40;39&#46;50&#8211;117&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">54&#44;703&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0085"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0086"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">ESR &#40;mm&#47;h&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#46;00 &#40;50&#46;00&#8211;91&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">74&#46;00 &#40;50&#46;00&#8211;93&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0089"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">56&#44;585&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0090"></a><td class="td" title="\n
                  \t\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&#46;743&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0091"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">ALT &#40;IU&#47;L&#41;&#44;</span> Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37&#46;20 &#40;19&#46;73&#8211;72&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0093"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#46;45 &#40;15&#46;20&#8211;80&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">57&#44;433&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n
                  \t\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&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0096"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">AST &#40;IU&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0097"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&#46;85 &#40;25&#46;83&#8211;54&#46;15&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&#46;20 &#40;25&#46;10&#8211;54&#46;23&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">61&#44;107&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n
                  \t\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&#46;263&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Basic characteristics in KD patients with CALs and non-CALs&#46;</p>"
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      3 => array:8 [
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        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
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          0 => array:3 [
            "identificador" => "alt0004"
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        "tabla" => array:2 [
          "leyenda" => "<p id="spara006" class="elsevierStyleSimplePara elsevierViewall">CALs&#44; coronary artery lesions&#59; KD&#44; Kawasaki disease&#59; IVIG&#44; intravenous immunoglobulin&#59; HB&#44; hemoglobin&#59; CRP&#44; C-reactive protein&#59; ALT&#44; alanine transaminase&#46;</p>"
          "tablatextoimagen" => array:1 [
            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"><a name="en0101"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Variables</span></th><a name="en0102"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Univariable analysis</span></th><a name="en0103"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Multivariable analysis</span></th></tr><tr title="table-row"><a name="en0105"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">OR &#40;95&#37; CI&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0106"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">p</span>-value</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0107"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">OR &#40;95&#37; CI&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0108"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">p</span>-value</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0109"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Diagnosis category &#40;incomplete KD v&#46;s&#46; complete KD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0110"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;738 &#40;0&#46;464&#8211;1&#46;174&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0111"></a><td class="td" title="\n
                  \t\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&#46;200&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0112"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;962 &#40;1&#46;133&#8211;3&#46;396&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0113"></a><td class="td" title="\n
                  \t\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&#46;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0114"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Gender &#40;female v&#46;s&#46; male&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0115"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;243 &#40;0&#46;185&#8211;0&#46;318&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0116"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0117"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;581 &#40;0&#46;409&#8211;0&#46;824&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0118"></a><td class="td" title="\n
                  \t\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&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0119"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Age &#40;month&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0120"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;968 &#40;0&#46;963&#8211;0&#46;973&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0121"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0122"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;992 &#40;0&#46;984&#8211;1&#46;001&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0123"></a><td class="td" title="\n
                  \t\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&#46;080&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0124"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Length of illness at initial IVIG treatment &#40;day&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;850 &#40;0&#46;830&#8211;0&#46;871&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0126"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0127"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;009 &#40;0&#46;924&#8211;1&#46;103&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n
                  \t\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&#46;835&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0129"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Length of hospitalization &#40;day&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0130"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;886 &#40;0&#46;868&#8211;0&#46;903&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;172 &#40;1&#46;090&#8211;1&#46;261&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0133"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0134"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">IVIG resistance &#40;IVIG resistance v&#46;s&#46; non IVIG resistance&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;492 &#40;0&#46;315&#8211;0&#46;767&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n
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Prediction of coronary artery lesions based on C-reactive protein levels in children with Kawasaki Disease: a retrospective cohort study
ShuPing Shuaia,1, HongXi Zhanga,1, Rui Zhanga,1, Mi Tangb,c,1, ErDan Luob,c, YanFeng Yangd, Yu Gaoa, ShanLan Yuea, Hua Lianga, JiangHui Caia,
Corresponding author
a University of Electronic Science and Technology of China, School of Medicine, Chengdu Women's and Children's Central Hospital, Department of Pharmacy, Chengdu, China
b University of Electronic Science and Technology of China, School of Medicine, Chengdu, China
c University of Electronic Science and Technology of China, School of Medicine, Chengdu Women's and Children's Central Hospital, Office of Good Clinical Practice, Chengdu, China
d University of Electronic Science and Technology of China, School of Medicine, Chengdu Women's and Children's Central Hospital, Department of Pediatric Cardiology, Chengdu, China
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0007">Introduction</span><p id="para0006" class="elsevierStylePara elsevierViewall">Kawasaki disease &#40;KD&#41;&#44; also known as mucocutaneous lymph node syndrome&#44; is an acute febrile vasculitis of unknown etiology that occurs predominantly in children under five years of age&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> The incidence of KD is increasing&#44; and the highest relative risk is in Asian children&#44; especially in East Asia&#46;<a class="elsevierStyleCrossRefs" href="#bib0002"><span class="elsevierStyleSup">2-5</span></a> The most common complication caused by KD is coronary artery lesions &#40;CALs&#41;&#44; including coronary artery dilatation&#44; coronary artery aneurysm &#40;CAA&#41;&#44; and life-threatening myocardial infarction&#46;<a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> KD has overtaken acute rheumatic fever as the most common cause of acquired heart disease in developed countries&#46;<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a> Intravenous immunoglobulin &#40;IVIG&#41; effectively reduces the prevalence of coronary artery abnormalities when administered early in the course of KD and is now used regularly&#46;<a class="elsevierStyleCrossRef" href="#bib0008"><span class="elsevierStyleSup">8</span></a> Nevertheless&#44; approximately 10&#8211;20&#37; of KD patients are resistant to IVIG treatment and are at higher risk for developing CALs&#46;<a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a> Since the primary purpose of KD treatment is to prevent the development of CALs&#44; early prediction of CALs is crucial for improving treatment outcomes in children with KD&#46;</p><p id="para0007" class="elsevierStylePara elsevierViewall">C-reactive protein &#40;CRP&#41; is a nonspecific and recognized inflammatory biomarker that increases in response to inflammation and plays a critical role in the acute phase of KD&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a> A high CRP level &#40;&#8805;30&#160;mg&#47;L&#41; serves as one of the criteria to confirm incomplete KD recommended in the American Heart Association guidelines &#40;AHA&#41;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a>&#46; CALs are also frequently observed in KD patients with low CRP levels&#44; although high CRP levels are expected in KD&#46;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a> Previous studies have shown that CRP has predictive value for IVIG resistance&#46;<a class="elsevierStyleCrossRef" href="#bib0012"><span class="elsevierStyleSup">12</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0013"><span class="elsevierStyleSup">13</span></a> However&#44; the literature on CRP predicting CALs in patients with KD is limited&#44;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a> and the conclusions are debatable&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a> In addition&#44; the correlation between CRP and CALs is also controversial&#46;<a class="elsevierStyleCrossRef" href="#bib0016"><span class="elsevierStyleSup">16</span></a></p><p id="para0008" class="elsevierStylePara elsevierViewall">Therefore&#44; the authors conducted a retrospective study to evaluate the value of CRP in predicting CALs in children with KD&#46; The purpose of the present study is to provide the literature on the use of CRP for early prediction of CALs to strengthen the prevention and treatment of KD patients as early as possible&#46;</p></span><span id="sec0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0008">Methods</span><p id="para0009" class="elsevierStylePara elsevierViewall">The study protocol was approved by the ethics committee of Chengdu Women&#39;s and Children&#39;s Central Hospital &#40;approval number 202214&#41;&#46; The requirement for informed patient consent was waived&#46; All methods were performed in accordance with the Declaration of Helsinki&#46;</p><span id="sec0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0009">Study design&#44; setting&#44; and study subjects</span><p id="para0010" class="elsevierStylePara elsevierViewall">Patients with KD were retrospectively recruited at Chengdu Women&#39;s and Children&#39;s Central Hospital between January 2017 and December 2019&#46; The diagnosis of KD &#40;including incomplete KD&#41; was made according to the 2017 AHA guideline<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> and confirmed by two experienced KD specialists&#46;</p><p id="para0011" class="elsevierStylePara elsevierViewall">The inclusion criteria&#58; &#40;1&#41; patients with an initial diagnosis of KD&#44; &#40;2&#41; &#60;18 years old&#44; &#40;3&#41; received standard treatment with IVIG 2&#160;g&#47;kg as a single infusion in the acute phase&#46; The authors excluded patients who met the exclusion criteria&#58; &#40;1&#41; patients with severe infection&#44; allergy&#44; or systemic juvenile idiopathic arthritis&#44; or &#40;2&#41; recurrent KD&#44; or &#40;3&#41; who refused treatment with IVIG or received an initial IVIG dose of less than 2&#160;g&#47;kg&#44; or &#40;4&#41; who had received IVIG treatment in the first 3 months after enrollment&#44; &#40;5&#41; patients with unavailable clinical or laboratory data&#46;</p></span><span id="sec0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0010">Standard treatment protocol</span><p id="para0012" class="elsevierStylePara elsevierViewall">All patients were treated with 2&#160;g&#47;kg IVIG as a single infusion within 12&#160;h of KD diagnosis and received aspirin at a dose of 30&#8211;50&#160;mg&#47;kg&#47;day during the acute phase&#46; Aspirin &#40;3&#8211;5&#160;mg&#47;kg&#47;day&#41; was administered for 6&#8211;8 weeks until all signs of inflammation had resolved or regression of CAL was observed on two-dimensional echocardiography&#46; Additional IVIG &#40;2&#160;g&#47;kg&#41; was administered if patients had a persistent fever for more than 36&#160;h or had recurrent fever associated with KD symptoms after an afebrile phase&#46; Other therapies&#44; including prednisolone&#44; were not used in the initial treatment&#46; IVIG resistance was defined as recurrent or persistent fever for at least 36&#160;h but no longer than 7 days after initial IVIG treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a></p></span><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0011">Data collection and group assignment</span><p id="para0013" class="elsevierStylePara elsevierViewall">All data were obtained from medical records&#44; including demographic data&#44; laboratory data&#44; and clinical outcomes&#46; Laboratory data were collected before the initial IVIG treatment&#46; Coronary artery diameter was measured by echocardiography before the first IVIG treatment&#46;</p><p id="para0014" class="elsevierStylePara elsevierViewall">Patients were divided into two groups according to whether they were complicated with CALs in the acute KD phase&#58; the CALs group and the non-CALs group&#46; CALs were defined based on the normalization of body surface area dimensions as Z-scores as follows according to the 2017 AHA guideline<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a>&#58; &#40;1&#41; no involvement &#40;Z-score &#60;2&#46;0&#41;&#59; &#40;2&#41; dilation &#40;Z-score &#8805;2&#46;0 to &#60;2&#46;5&#41;&#44; &#40;3&#41; aneurysm &#40;Z-score &#8805;2&#46;5 to &#60;5 for a small aneurysm&#59; Z-score &#8805;5 to &#60;10 for a medium aneurysm&#59; Z-score &#8805;10 for a giant aneurysm&#41; of the coronary arteries&#44; based on the maximum internal diameters of the right coronary artery&#44; left anterior descending artery and left circumflex coronary artery&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0017"><span class="elsevierStyleSup">17</span></a> All KD patients underwent standardized echocardiograms by an experienced ultrasonographer during the acute phase&#46;</p></span><span id="sec0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0012">Statistical analysis</span><p id="para0015" class="elsevierStylePara elsevierViewall">The normality of the distribution of variables was checked using the Shapiro&#8211;Wilk test&#46; Continuous variables were expressed as means&#160;&#177;&#160;standard deviations or median and IQR &#40;25th&#44; 75th percentiles&#41; if non-normally distributed&#46; Categorical variables were expressed by presenting the frequency and proportion in each category&#46; Chi-square analysis was applied for categorical variables&#44; and the Student-<span class="elsevierStyleItalic">t</span>-test or Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test was used based on the normality of variables for continuous variables&#46;</p><p id="para0016" class="elsevierStylePara elsevierViewall">The univariable and multivariable logistic regression models were constructed&#44; and results were expressed as odds ratios &#40;OR&#41; with a 95&#37; confidence interval &#40;CI&#41; to identify independent risk factors for CALs&#46; To assess the discriminatory capacity of CRP in predicting CALs&#44; the authors performed the receiver operating characteristic &#40;ROC&#41; curve analysis&#46; The authors performed subgroup analysis by dividing the CALs group into several subgroups based on CRP and hemoglobin &#40;HB&#41; according to Z-score&#46; The value of independent risk factors at different Z-score levels is using ANOVA or the Kruskal&#8211;Wallis test based on the normality of distribution&#46; The chi-square test was also applied to compare the ratio of the different Z-score groups in each independent risk factor&#44; and the Bonferroni test was used for further pairwise tests&#46; A <span class="elsevierStyleItalic">p</span>-value &#60;0&#46;05 was considered statistically significant&#46; All statistical tests were performed using SPSS 12&#46;0 for Windows XP &#40;SPSS&#44; Inc&#44; Chicago&#44; USA&#41;&#46;</p></span></span><span id="sec0007" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0013">Results</span><p id="para0017" class="elsevierStylePara elsevierViewall">A total of 1097 patients were diagnosed with KD &#40;including incomplete KD&#41;&#44; of whom 246 were excluded because 24 were accompanied by severe infectious disease&#44; 21 had recurrent KD&#44; 4 received an initial IVIG dose &#60;2&#160;g&#47;kg&#44; and 197 lacked laboratory data on serum CRP levels and coronary artery size &#40;Z scores&#41;&#46; Finally&#44; 851 patients were enrolled in the study and divided into two groups&#58; the CALs group &#40;<span class="elsevierStyleItalic">n</span>&#160;&#61;&#160;206&#41; and the non-CALs group &#40;<span class="elsevierStyleItalic">n</span>&#160;&#61;&#160;645&#41;&#46; The flowchart is shown in <a class="elsevierStyleCrossRef" href="#fig0001">Figure 1</a>&#46;</p><elsevierMultimedia ident="fig0001"></elsevierMultimedia><span id="sec0008" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0014">Basic demographic&#44; clinical and laboratory characteristics</span><p id="para0018" class="elsevierStylePara elsevierViewall">A total of 851 KD patients were included&#44; 60&#46;28&#37; of whom were men &#40;<span class="elsevierStyleItalic">n</span>&#160;&#61;&#160;513&#41;&#46; Of the 851 cases&#44; 206 had CALs &#40;<span class="elsevierStyleItalic">Z</span>&#160;&#8805;&#160;2&#41;&#44; accounting for 24&#46;21&#37;&#46; The general characteristics and laboratory indicators of patients with and without CALs are shown in <a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>&#46; There were no significant differences in white blood cell &#40;WBC&#41;&#44; platelet&#44; neutrophils &#40;&#37;&#41;&#44; lymphocyte &#40;&#37;&#41;&#44; alanine transaminase &#40;AST&#41;&#44; and erythrocyte sedimentation rate &#40;ESR&#41; between these two groups&#46;</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><p id="para0019" class="elsevierStylePara elsevierViewall">The CALs group had a longer hospitalization time and younger age than the non-CALs group &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; In addition&#44; children in the CALs group had a higher proportion of male gender&#44; incomplete KD&#44; and IVIG resistance than children in the non-CALs group &#40;all <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; Of the routine laboratory inflammatory indicators&#44; CRP and ALT levels were significantly higher in the CALs group than in the non-CALs group &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46;</p></span><span id="sec0009" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0015">Prediction for CALs development and ROC analysis</span><p id="para0020" class="elsevierStylePara elsevierViewall">The univariable and multivariable logistic regression models were constructed to identify independent risk factors for CALs&#46; The result is shown in <a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a>&#46; The multivariable logistic regression analysis showed that incomplete KD&#44; male&#44; lower hemoglobin &#40;HB&#41;&#44; and CRP were independent risk factors for CALs in KD patients &#40;all <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; The results of ROC curve analysis for CRP to predict CALs are shown in <a class="elsevierStyleCrossRef" href="#fig0002">Figure 2</a>&#59; the area under the ROC curve &#40;AUC&#41; was 0&#46;588 &#40;95&#37; CI&#160;&#61;&#160;0&#46;554&#8211;0&#46;622&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41;&#46; The sensitivity and specificity in predicting CALs were 47&#46;57&#37; and 69&#46;61&#37;&#44; respectively&#44; with a cut-off level of 105&#46;5&#160;mg&#47;L determined by the Youden index&#46; For HB&#44; the sensitivity and specificity in predicting CALs were 38&#46;83&#37; and 70&#46;08&#37;&#44; respectively&#44; with a cut-off value of 102&#160;g&#47;L&#46;</p><elsevierMultimedia ident="tbl0002"></elsevierMultimedia><elsevierMultimedia ident="fig0002"></elsevierMultimedia><p id="para0021" class="elsevierStylePara elsevierViewall">The authors also performed subgroup analysis by dividing the CALs group into multiple groups by Z score to compare CRP differences among subgroups with different degrees of CALs&#46; As shown in <a class="elsevierStyleCrossRef" href="#sec0016">Appendix S1</a> and <a class="elsevierStyleCrossRef" href="#sec0016">Appendix S2</a>&#44; there was no significant difference in CRP or HB between the subgroups with different degrees of CALs&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0016">Results of CALs in patients with high CRP or lower HB</span><p id="para0022" class="elsevierStylePara elsevierViewall">The authors use the cut-off value determined by Youden&#39;s index to compare the incidence of CALs in KD patients with different levels of CRP or HB&#46; There were 556 patients with a CRP level of &#60;105&#46;5&#160;mg&#47;L&#44; 108 of whom developed CALs &#40;32 dilations and 76 CAA&#41;&#46; There were 295 patients with a CRP level &#8805;105&#46;5&#160;mg&#47;L&#44; and 98 of them had CALs &#40;26 dilations and 72 CAA&#41;&#46; Meanwhile&#44; there were 80 KD patients with CALs in the lower HB group &#40;&#60;102&#160;g&#47;L&#41; and 126 KD patients with CALs in the higher HB group &#40;&#8805;102&#160;g&#47;L&#41;&#46; KD children with a higher CRP level &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; or a lower HB value &#40;&#60;102&#160;g&#47;L&#41; had a higher incidence of CALs than children with a lower CRP &#40;&#60;105&#46;5&#160;mg&#47;L&#41; &#40;33&#37; vs&#46; 19&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41; or higher HB &#40;29&#37; vs&#46; 22&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; Further Bonferroni test showed that KD patients with a higher CRP level &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; or a lower HB level &#40;&#60;102&#160;g&#47;L&#41; had a higher incidence of small aneurysms than children with a lower CRP &#40;&#60;105&#46;5&#160;mg&#47;L&#41; or higher HB &#40;&#8805;102&#160;g&#47;L&#41; &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41; &#40;<a class="elsevierStyleCrossRef" href="#sec0016">Appendix S3</a>&#41;&#46;</p><p id="para0023" class="elsevierStylePara elsevierViewall">There were 122 KD patients with a higher level of CRP &#40;105&#46;5&#160;mg&#47;L&#41; and lower HB level &#40;&#60;102&#160;g&#47;L&#41;&#44; 43 of whom developed CALs&#46; There were 729 patients with a CRP level &#8805; of 105&#46;5&#160;mg&#47;L&#44; and 163 had CALs&#46; Similarly&#44; KD patients with a higher level of CRP and lower HB had a higher incidence of CALs than children with a lower CRP and higher HB &#40;35&#37; vs&#46; 22&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#61;&#160;0&#46;01&#41; &#40;<a class="elsevierStyleCrossRef" href="#sec0016">Appendix S4</a>&#41;&#46;</p></span></span><span id="sec0011" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0017">Discussion</span><p id="para0024" class="elsevierStylePara elsevierViewall">In the present retrospective study&#44; the authors aimed to investigate the predictive value of CRP in predicting CALs in KD patients&#46; The results showed that CRP is an independent risk factor for the development of CALs in KD patients&#46; KD patients with CALs had a significantly higher CRP level than those without CALs&#46; In addition&#44; KD patients with a high CRP level &#40;&#8805; 105&#46;5&#160;mg&#47;L&#41; had a higher incidence of CAL than those with a low level&#46; The present study suggests that CRP is an independent predictive marker for CALs and may be useful in predicting CALs in KD patients&#46;</p><p id="para0025" class="elsevierStylePara elsevierViewall">The occurrence of CALs has dropped to 4&#37; of KD patients with timely standard IVIG and aspirin treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> CALs may lead to ischemia&#44; cardiogenic shock&#44; and even sudden cardiac death&#46;<a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a> Therefore&#44; it is imperative to identify the risk factors for CALs in KD patients&#46; In the present study&#44; incomplete KD&#44; male gender&#44; low HB&#44; and high CRP were found to be independent risk factors for CALs in KD patients&#46; There are several North American<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a> and Japanese risk-scoring systems &#40;e&#46;g&#46;&#44; Harada score&#44;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a> Kobayashi score&#44;<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a> Egami score<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a>&#41; for predicting CAA or IVIG resistance&#46; Both the North American and the Japanese risk models showed that CRP and younger age were independent predictors of CAL occurrence&#44; which was consistent with the present results&#46; Moreover&#44; higher CRP and younger age were also highly associated with IVIG resistance in a North American<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> or Asian population&#46;<a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> These results highlight the importance of vigilance for KD at a young age with higher CRP&#46; The present results showed that low HB was an independent risk factor for predicting CALs &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41;&#46; However&#44; the present study showed that HB had good specificity but low sensitivity &#40;38&#46;83&#37;&#41;&#44; which is less predictive than CRP for predicting CALs in Chinese KD children&#46; The present results were in line with previous investigations&#44; which reported similar findings&#46;<a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">24</span></a> The persistent and ongoing systemic inflammatory reactions affect all the medium-sized arteries&#44; especially the coronary arteries&#44; and in multiple tissues and organs&#44; which eventually cause the development of CALs in KD patients&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> Therefore&#44; high CRP levels are generally observed in KD patients&#46;</p><p id="para0026" class="elsevierStylePara elsevierViewall">CRP is a widely recognized acute-phase reactant protein that exhibits elevated expression in response to infection and inflammation&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a> CRP levels generally correlate with the degree of inflammation&#44; i&#46;e&#46;&#44; a higher level indicates a higher inflammatory status&#46;<a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a> Previous studies have shown that elevated CRP levels in adult patients with coronary artery disease may predict myocardial ischemia or sudden death&#46;<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0028"><span class="elsevierStyleSup">28</span></a> The present results showed that KD patients with CALs had significantly higher CRP levels than those without CALs&#46; Furthermore&#44; the authors use the cut-off value to compare the incidence of CALs in KD patients with a higher or lower CRP level&#46; KD patients with a high CRP level &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; had a higher incidence of CAL than those with a low level&#46; Further Bonferroni test showed KD patients with a CRP level &#8805; of 105&#46;5&#160;mg&#47;L had a higher risk of small aneurysms than patients with a lower CRP level &#60;105&#46;5&#160;mg&#47;L&#46;</p><p id="para0027" class="elsevierStylePara elsevierViewall">Therefore&#44; the present data are consistent with the hypothesis that the inflammatory process is involved in CALs formation in KD patients&#46; The present findings suggest that CRP levels are not only elevated in KD patients with CALs but also reflect a continuing condition of vasculitis and may predict the size of CAL&#46; Previous studies also reported that the risk of CALs formation was higher in KD patients with severe vasculitis and inflammatory responses &#40;higher CRP level&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0029"><span class="elsevierStyleSup">29</span></a> Thus&#44; physicians should pay more attention to monitoring the clinical course of KD kids with a high level of CRP in terms of CALs development&#44; especially coronary artery aneurysm formation&#46;</p><p id="para0028" class="elsevierStylePara elsevierViewall">However&#44; subgroup analysis showed no significant difference in CRP levels among the different CALs classifications&#46; Therefore&#44; it should be noted that CRP alone does not always reflect the severity of KD&#44; although CRP is known to reflect the extent of systemic inflammation&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">30</span></a> Nevertheless&#44; CALs were also found in KD patients with low serum CRP levels&#44; suggesting that patients with low CRP levels may not represent a homogeneous group&#46; One possible explanation would be that an increase in CRP levels occurred after the initial sample test&#44; but further studies are needed to test such a hypothesis&#46; The low sensitivity of CRP &#40;47&#46;57&#37;&#41; in predicting CALs&#44; indicating the initial serum CRP level alone may not have better predictive power in the context of KD&#46;</p><span id="sec0012" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0018">Limitations</span><p id="para0029" class="elsevierStylePara elsevierViewall">This study has several limitations&#46; First&#44; the retrospective design limits the present research&#44; which inevitably leads to selection and information bias&#46; Second&#44; the authors could not evaluate inflammatory markers other than CRP and WBC&#46; Third&#44; all KD patients were Chinese&#44; which limits the generalizability of the results&#46; Therefore&#44; further prospective studies are needed to confirm the present results&#46;</p></span></span><span id="sec0013" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0019">Conclusions</span><p id="para0030" class="elsevierStylePara elsevierViewall">In conclusion&#44; the occurrence of CALs was significantly higher in patients with a high level of CRP&#46; CRP is an independent risk factor for CALs formation and may be useful for predicting CALs in KD patients&#46; The clinical course of KD patients should be carefully monitored&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0021">Funding</span><p id="para0032" class="elsevierStylePara elsevierViewall">This manuscript was supported by the <span class="elsevierStyleGrantSponsor" id="gs0001">Chengdu Medical Research Project</span> &#91;<span class="elsevierStyleGrantNumber" refid="gs0001">2022065</span>&#93;&#46;</p></span></span>"
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            0 => "Kawasaki disease&#44; KD"
            1 => "C-reactive protein&#44; CRP"
            2 => "Coronary artery lesions&#44; CALs"
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        "titulo" => "Abstract"
        "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0002">Objective</span><p id="spara007" class="elsevierStyleSimplePara elsevierViewall">Since coronary artery lesions &#40;CALs&#41; are the most severe complication of Kawasaki disease &#40;KD&#41;&#44; clinically speaking&#44; early prediction of CALs is crucial&#46; The authors aimed to investigate the predictive value of C-reactive protein &#40;CRP&#41; in predicting CALs in KD patients&#46;</p></span> <span id="abss0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Methods</span><p id="spara008" class="elsevierStyleSimplePara elsevierViewall">KD patients were divided into the CALs group and the non-CALs group&#46; The clinical and laboratory parameters were collected and compared&#46; Multivariate logistic regression analysis was used to determine the independent risk factors of CALs&#46; The receiver operating characteristic curve was applied to determine the optimal cut-off value&#46;</p></span> <span id="abss0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Results</span><p id="spara009" class="elsevierStyleSimplePara elsevierViewall">851 KD patients who met the inclusion criteria were studied&#44; including 206 in the CALs group and 645 in the non-CALs group&#46; Children in the CALs group had significantly higher CRP levels than the non-CALs group &#40;<span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; Multivariable logistic regression analysis showed that incomplete KD&#44; male&#44; lower hemoglobin&#44; and higher CRP were independent risk factors for predicting CAL &#40;all <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;05&#41;&#46; The optimal cut-off value of initial serum CRP for predicting CALs was 105&#46;5&#160;mg&#47;L&#44; with a sensitivity of 47&#46;57&#37; and a specificity of 69&#46;61&#37;&#46; In addition&#44; KD patients with high CRP &#40;&#8805;105&#46;5&#160;mg&#47;L&#41; had a higher occurrence of CALs than those with low CRP &#40;&#60;105&#46;5&#160;mg&#47;L&#41; &#40;33&#37; vs 19&#37;&#44; <span class="elsevierStyleItalic">p</span>&#160;&#60;&#160;0&#46;001&#41;&#46;</p></span> <span id="abss0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0005">Conclusion</span><p id="spara010" class="elsevierStyleSimplePara elsevierViewall">The incidence of CALs was significantly higher in patients with high CRP&#46; CRP is an independent risk factor for CALs formation and may be useful for predicting CALs in KD patients&#46;</p></span>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0001"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0002"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">CALs group</span><span class="elsevierStyleBold">&#40;<span class="elsevierStyleItalic">N</span></span>&#160;<span class="elsevierStyleBold">&#61;</span>&#160;<span class="elsevierStyleBold">206&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">non-CALs group</span><span class="elsevierStyleBold">&#40;<span class="elsevierStyleItalic">N</span></span>&#160;<span class="elsevierStyleBold">&#61;</span>&#160;<span class="elsevierStyleBold">645&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">U</span> or <span class="elsevierStyleItalic">&#967;<span class="elsevierStyleSup">2</span></span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0005"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">p</span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0006"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Age &#40;months&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0007"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19&#46;50 &#40;8&#46;00&#8211;42&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0008"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;00 &#40;14&#46;00&#8211;41&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0009"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">56&#44;470&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0010"></a><td class="td" title="\n
                  \t\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&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0011"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Gender</span>&#44; <span class="elsevierStyleItalic">n</span>&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0012"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0013"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">6&#46;694&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n
                  \t\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&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0016"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Male&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0017"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">140 &#40;68&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">373 &#40;57&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0019"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0021"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Female&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66 &#40;32&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">272 &#40;42&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0025"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0026"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Diagnosis</span>&#44; <span class="elsevierStyleItalic">n</span>&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0029"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">14&#46;510&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0031"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Complete&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">175 &#40;85&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0033"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">603 &#40;93&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0035"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0036"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Incomplete&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0037"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31 &#40;15&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42 &#40;6&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0041"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of illness at initial IVIG treatment &#40;day&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;00 &#40;5&#46;00&#8211;7&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0043"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;00 &#40;5&#46;00&#8211;7&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">60&#44;137&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0045"></a><td class="td" title="\n
                  \t\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&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0046"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Length of hospitalization &#40;day&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&#46;00 &#40;6&#46;00&#8211;10&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#46;00 &#40;6&#46;00&#8211;8&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0049"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">50&#44;430&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0051"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">IVIG resistance</span>&#44; <span class="elsevierStyleItalic">n</span>&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29 &#40;14&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0053"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59 &#40;9&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4&#46;094&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n
                  \t\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&#46;043&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0056"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">WBC count &#40;&#215;10<span class="elsevierStyleSup">9</span>&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0057"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;03 &#40;10&#46;90&#8211;17&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;79 &#40;10&#46;59&#8211;17&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">64&#44;640&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n
                  \t\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&#46;559&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0061"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Hemoglobin &#40;g&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n
                  \t\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&#46;00 &#40;98&#46;75&#8211;113&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">108&#46;00 &#40;100&#46;00&#8211;116&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0064"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">60&#44;011&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0065"></a><td class="td" title="\n
                  \t\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&#46;036&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0066"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Platelet &#40;&#215;10<span class="elsevierStyleSup">9</span>&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0067"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">358&#46;00 &#40;276&#46;00&#8211;473&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0068"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">343&#46;00 &#40;272&#46;50&#8211;429&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0069"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">61&#44;970&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n
                  \t\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&#46;146&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0071"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Neutrophils &#40;&#37;&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&#46;10 &#40;54&#46;48&#8211;76&#46;35&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0073"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&#46;70 &#40;56&#46;25&#8211;77&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">66&#44;233&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n
                  \t\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&#46;948&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0076"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">Lymphocyte &#40;&#37;&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0077"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;85 &#40;14&#46;75&#8211;34&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;20 &#40;15&#46;20&#8211;32&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0079"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">65&#44;786&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0080"></a><td class="td" title="\n
                  \t\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&#46;833&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0081"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">CRP &#40;mg&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&#46;00 &#40;53&#46;75&#8211;152&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">75&#46;00 &#40;39&#46;50&#8211;117&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">54&#44;703&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0085"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0086"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">ESR &#40;mm&#47;h&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#46;00 &#40;50&#46;00&#8211;91&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">74&#46;00 &#40;50&#46;00&#8211;93&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0089"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">56&#44;585&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0090"></a><td class="td" title="\n
                  \t\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&#46;743&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0091"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">ALT &#40;IU&#47;L&#41;&#44;</span> Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37&#46;20 &#40;19&#46;73&#8211;72&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0093"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#46;45 &#40;15&#46;20&#8211;80&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">57&#44;433&#46;500&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n
                  \t\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&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0096"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="top"><span class="elsevierStyleBold">AST &#40;IU&#47;L&#41;</span>&#44; Median &#40;IQR&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0097"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&#46;85 &#40;25&#46;83&#8211;54&#46;15&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&#46;20 &#40;25&#46;10&#8211;54&#46;23&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">61&#44;107&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n
                  \t\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&#46;263&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Basic characteristics in KD patients with CALs and non-CALs&#46;</p>"
        ]
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      3 => array:8 [
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        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
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          0 => array:3 [
            "identificador" => "alt0004"
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            "rol" => "short"
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        "tabla" => array:2 [
          "leyenda" => "<p id="spara006" class="elsevierStyleSimplePara elsevierViewall">CALs&#44; coronary artery lesions&#59; KD&#44; Kawasaki disease&#59; IVIG&#44; intravenous immunoglobulin&#59; HB&#44; hemoglobin&#59; CRP&#44; C-reactive protein&#59; ALT&#44; alanine transaminase&#46;</p>"
          "tablatextoimagen" => array:1 [
            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"><a name="en0101"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Variables</span></th><a name="en0102"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Univariable analysis</span></th><a name="en0103"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Multivariable analysis</span></th></tr><tr title="table-row"><a name="en0105"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">OR &#40;95&#37; CI&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0106"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">p</span>-value</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0107"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">OR &#40;95&#37; CI&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0108"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">p</span>-value</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0109"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Diagnosis category &#40;incomplete KD v&#46;s&#46; complete KD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0110"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;738 &#40;0&#46;464&#8211;1&#46;174&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0111"></a><td class="td" title="\n
                  \t\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&#46;200&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0112"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;962 &#40;1&#46;133&#8211;3&#46;396&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0113"></a><td class="td" title="\n
                  \t\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&#46;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0114"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Gender &#40;female v&#46;s&#46; male&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0115"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;243 &#40;0&#46;185&#8211;0&#46;318&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0116"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0117"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;581 &#40;0&#46;409&#8211;0&#46;824&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0118"></a><td class="td" title="\n
                  \t\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&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0119"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Age &#40;month&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0120"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;968 &#40;0&#46;963&#8211;0&#46;973&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0121"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0122"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;992 &#40;0&#46;984&#8211;1&#46;001&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0123"></a><td class="td" title="\n
                  \t\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&#46;080&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0124"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Length of illness at initial IVIG treatment &#40;day&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;850 &#40;0&#46;830&#8211;0&#46;871&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0126"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0127"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;009 &#40;0&#46;924&#8211;1&#46;103&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n
                  \t\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&#46;835&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0129"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Length of hospitalization &#40;day&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0130"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;886 &#40;0&#46;868&#8211;0&#46;903&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;172 &#40;1&#46;090&#8211;1&#46;261&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0133"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0134"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">IVIG resistance &#40;IVIG resistance v&#46;s&#46; non IVIG resistance&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n
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Article information
ISSN: 00217557
Original language: English
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Jornal de Pediatria (English Edition)
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