PMID- 30742060
OWN - NLM
STAT- MEDLINE
DCOM- 20200824
LR  - 20200824
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 9
IP  - 1
DP  - 2019 Feb 11
TI  - A new model for predicting intravenous immunoglobin-resistant Kawasaki disease in 
      Chongqing: a retrospective study on 5277 patients.
PG  - 1722
LID - 10.1038/s41598-019-39330-y [doi]
LID - 1722
AB  - 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.
FAU - Tan, Xu-Hai
AU  - Tan XH
AD  - Department of Heart Centre, Children's Hospital of Chongqing Medical University, 
      Ministry of Education Key Laboratory of Child Development and Disorders, 
      Chongqing, 400014, China.
FAU - Zhang, Xiao-Wei
AU  - Zhang XW
AD  - Yidu Cloud (Beijing) Technology Co., Ltd., Beijing, 100101, China.
FAU - Wang, Xiao-Yun
AU  - Wang XY
AD  - Yidu Cloud (Beijing) Technology Co., Ltd., Beijing, 100101, China.
FAU - He, Xiang-Qian
AU  - He XQ
AD  - College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, 
      China.
FAU - Fan, Chu
AU  - Fan C
AD  - College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, 
      China.
FAU - Lyu, Tie-Wei
AU  - Lyu TW
AD  - Department of Heart Centre, Children's Hospital of Chongqing Medical University, 
      Ministry of Education Key Laboratory of Child Development and Disorders, 
      Chongqing, 400014, China.
FAU - Tian, Jie
AU  - Tian J
AD  - Department of Heart Centre, Children's Hospital of Chongqing Medical University, 
      Ministry of Education Key Laboratory of Child Development and Disorders, 
      Chongqing, 400014, China. jietian@cqmu.edu.cn.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20190211
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
RN  - 0 (Biomarkers)
RN  - 0 (Immunoglobulins, Intravenous)
SB  - IM
MH  - Biomarkers
MH  - China/epidemiology
MH  - *Drug Resistance
MH  - Humans
MH  - Immunoglobulins, Intravenous/administration & dosage/adverse effects/*therapeutic 
      use
MH  - *Models, Theoretical
MH  - Mucocutaneous Lymph Node Syndrome/diagnosis/*drug therapy/*epidemiology
MH  - Odds Ratio
MH  - Prognosis
MH  - ROC Curve
MH  - Retrospective Studies
MH  - Severity of Illness Index
MH  - Treatment Outcome
PMC - PMC6370794
COIS- The authors declare no competing interests.
EDAT- 2019/02/12 06:00
MHDA- 2020/08/25 06:00
PMCR- 2019/02/11
CRDT- 2019/02/12 06:00
PHST- 2018/10/26 00:00 [received]
PHST- 2019/01/22 00:00 [accepted]
PHST- 2019/02/12 06:00 [entrez]
PHST- 2019/02/12 06:00 [pubmed]
PHST- 2020/08/25 06:00 [medline]
PHST- 2019/02/11 00:00 [pmc-release]
AID - 10.1038/s41598-019-39330-y [pii]
AID - 39330 [pii]
AID - 10.1038/s41598-019-39330-y [doi]
PST - epublish
SO  - Sci Rep. 2019 Feb 11;9(1):1722. doi: 10.1038/s41598-019-39330-y.