PMID- 38310292
OWN - NLM
STAT- MEDLINE
DCOM- 20240205
LR  - 20240205
IS  - 1824-7288 (Electronic)
IS  - 1720-8424 (Linking)
VI  - 50
IP  - 1
DP  - 2024 Feb 3
TI  - Risk factors and an early predictive model for Kawasaki disease shock syndrome in 
      Chinese children.
PG  - 22
LID - 10.1186/s13052-024-01597-x [doi]
LID - 22
AB  - BACKGROUND: Kawasaki disease shock syndrome (KDSS), though rare, has increased 
      risk for cardiovascular complications. Early diagnosis is crucial to improve the 
      prognosis of KDSS patients. Our study aimed to identify risk factors and 
      construct a predictive model for KDSS. METHODS: This case-control study was 
      conducted from June, 2015 to July, 2023 in two children's hospitals in China. 
      Children initially diagnosed with KDSS and children with Kawasaki disease (KD) 
      without shock were matched at a ratio of 1:4 by using the propensity score 
      method. Laboratory results obtained prior to shock syndrome and treatment with 
      intravenous immunoglobulin were recorded to predict the onset of KDSS. 
      Univariable logistic regression and forward stepwise logistic regression were 
      used to select significant and independent risk factors associated with KDSS. 
      RESULTS: After matching by age and gender, 73 KDSS and 292 KD patients without 
      shock formed the development dataset; 40 KDSS and 160 KD patients without shock 
      formed the validation dataset. Interleukin-10 (IL-10) > reference value, platelet 
      counts (PLT) < 260 x 10(9)/L, C-reactive protein (CRP) > 80 mg/ml, procalcitonin 
      (PCT) > 1ng/ml, and albumin (Alb) < 35 g/L were independent risk factors for 
      KDSS. The nomogram model including the above five indicators had area under the 
      curves (AUCs) of 0.91(95% CI: 0.87-0.94) and 0.90 (95% CI: 0.71-0.86) in the 
      development and validation datasets, with a specificity and sensitivity of 80% 
      and 86%, 66% and 77%, respectively. Calibration curves showed good predictive 
      accuracy of the nomogram. Decision curve analyses revealed the predictive model 
      has application value. CONCLUSIONS: This study identified IL-10, PLT, CRP, PCT 
      and Alb as risk factors for KDSS. The nomogram model can effectively predict the 
      occurrence of KDSS in Chinese children. It will facilitate pediatricians in early 
      diagnosis, which is essential to the prevention of cardiovascular complications.
CI  - (c) 2024. The Author(s).
FAU - Zhang, Mingming
AU  - Zhang M
AD  - Department of Cardiology, Children's Hospital Capital Institute of Pediatrics, 
      Beijing, 10020, China.
FAU - Wang, Congying
AU  - Wang C
AD  - Department of Cardiology, Children's Hospital Capital Institute of Pediatrics, 
      Beijing, 10020, China.
AD  - Department of Cardiology, Capital Institute of Pediatrics-Peking University 
      Teaching Hospital, Beijing, China.
FAU - Li, Qirui
AU  - Li Q
AD  - Department of Cardiology, Beijing Children's Hospital, Capital Medical 
      University, National Centre for Children's Health, Beijing, China.
FAU - Wang, Hongmao
AU  - Wang H
AD  - Department of Cardiology, Children's Hospital Capital Institute of Pediatrics, 
      Beijing, 10020, China.
FAU - Li, Xiaohui
AU  - Li X
AUID- ORCID: 0000-0003-1882-5898
AD  - Department of Cardiology, Children's Hospital Capital Institute of Pediatrics, 
      Beijing, 10020, China. lxhmaggie@126.com.
AD  - Department of Cardiology, Capital Institute of Pediatrics-Peking University 
      Teaching Hospital, Beijing, China. lxhmaggie@126.com.
LA  - eng
GR  - 82370511/The National Natural Science Foundation of China/
GR  - PX2023047/The Beijing Municipal Administration of Hospital Incubating Program/
GR  - JHYJ-2023-01/Clinical and basic integration project of Capital Institute of 
      Pediatrics/
PT  - Journal Article
DEP - 20240203
PL  - England
TA  - Ital J Pediatr
JT  - Italian journal of pediatrics
JID - 101510759
RN  - 130068-27-8 (Interleukin-10)
RN  - 0 (Immunoglobulins, Intravenous)
SB  - IM
MH  - Child
MH  - Humans
MH  - *Mucocutaneous Lymph Node Syndrome/complications/diagnosis/therapy
MH  - Interleukin-10
MH  - Case-Control Studies
MH  - *Shock
MH  - Immunoglobulins, Intravenous
MH  - Risk Factors
MH  - Retrospective Studies
PMC - PMC10837898
OTO - NOTNLM
OT  - Complications
OT  - Mucocutaneous Lymph Node Syndrome
OT  - Nomograms
OT  - Risk factors
OT  - Shock
COIS- The authors declare that we have no competing interest.
EDAT- 2024/02/04 00:41
MHDA- 2024/02/05 06:43
PMCR- 2024/02/03
CRDT- 2024/02/03 23:27
PHST- 2023/11/03 00:00 [received]
PHST- 2024/01/21 00:00 [accepted]
PHST- 2024/02/05 06:43 [medline]
PHST- 2024/02/04 00:41 [pubmed]
PHST- 2024/02/03 23:27 [entrez]
PHST- 2024/02/03 00:00 [pmc-release]
AID - 10.1186/s13052-024-01597-x [pii]
AID - 1597 [pii]
AID - 10.1186/s13052-024-01597-x [doi]
PST - epublish
SO  - Ital J Pediatr. 2024 Feb 3;50(1):22. doi: 10.1186/s13052-024-01597-x.