Risk factors and development of a predictive model for myocardial injury in children with rotavirus-induced diarrhea.
10.7499/j.issn.1008-8830.2412032
- Author:
Li-Ping FENG
1
;
Xiao-Gang WANG
1
;
Wen-Si NIU
1
;
Jin-Jin SHI
1
;
Hong-Ying WANG
1
Author Information
1. Department of Pediatrics, Suzhou Wujiang District Children's Hospital/Wujiang Branch, Children's Hospital, Soochow University, Suzhou, Jiangsu 215200, China.
- Publication Type:Journal Article
- Keywords:
Child;
Diarrhea;
Multivariate analysis;
Myocardial injury;
Nomogram model;
Rotavirus
- MeSH:
Humans;
Rotavirus Infections/complications*;
Diarrhea/etiology*;
Male;
Female;
Infant;
Retrospective Studies;
Risk Factors;
Child, Preschool;
Logistic Models;
Child
- From:
Chinese Journal of Contemporary Pediatrics
2025;27(6):709-715
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVES:To investigate the incidence of myocardial injury in children with rotavirus-induced diarrhea, analyze its risk factors, and develop a predictive model for myocardial injury.
METHODS:A retrospective analysis was conducted on 203 children diagnosed with rotavirus infection at the Suzhou Wujiang District Children's Hospital from January 2021 to December 2023. The children were divided into groups based on the presence or absence of myocardial injury. Basic information and laboratory indicators at admission were collected and compared between the two groups. LASSO regression was used to screen potential risk factors, followed by multivariate logistic regression to evaluate independent factors. A nomogram model was established and validated.
RESULTS:Out of 203 children with rotavirus infection, 53 cases (26.1%) showed myocardial injury. Age, severe dehydration, metabolic acidosis, red cell distribution width, and blood sodium were closely associated with myocardial injury in children with rotavirus-induced diarrhea (P<0.05). The area under the receiver operating characteristic curve for the predictive model of myocardial injury was 0.841 (95%CI: 0.777-0.905), with a sensitivity of 73.6% and specificity of 85.3%. The model curve closely fit the ideal diagonal line. Decision curve analysis showed that using the model for prediction resulted in the highest net benefit when the probability threshold was 0.18-0.98.
CONCLUSIONS:The model developed in this study can predict the risk of myocardial injury in children with rotavirus-induced diarrhea.
