Abstract：
:Accurate evaluation of individual risk of intravenous immunoglobin (IVIG)-resistance is critical for adopting regimens for the first treatment and prevention of coronary artery lesions (CALs) in patients with Kawasaki disease (KD). METHODS:The KD patients hospitalized in Chongqing Children's Hospital, in west China, from October 2007 to December 2017 were retrospectively reviewed. Data were collected and compared between IVIG-resistant group and IVIG-responsive group. The independent risk factors were determined using multivariate regression analysis. A new prediction model was built and compared with the previous models. RESULTS:A total of 5277 subjects were studied and eight independent risk factors were identified including higher red blood cell distribution width (RDW), lower platelet count (PLT), lower percentage of lymphocyte (P-LYM), higher total bile acid (TBA), lower albumin, lower serum sodium level, higher degree of CALs (D-CALs) and younger age. The new predictive model showed an AUC of 0.74, sensitivity of 76% and specificity of 59%. For individual's risk probability of IVIG-resistance, an equation was given. CONCLUSIONS:IVIG-resistance could be predicted by RDW, PLT, P-LYM, TBA, albumin, serum sodium level, D-CALs and age. The new model appeared to be superior to those previous models for KD population in Chongqing city.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Tan XH,Zhang XW,Wang XY,He XQ,Fan C,Lyu TW,Tian Jdoi
10.1038/s41598-019-39330-ysubject
Has Abstractpub_date
2019-02-11 00:00:00pages
1722issue
1issn
2045-2322pii
10.1038/s41598-019-39330-yjournal_volume
9pub_type
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