摘要
目的 探究川崎病(KD)患儿静脉注射免疫球蛋白抵抗(IVIGR)的影响因素,并构建IVIGR预测模型,为KD患儿风险分层护理提供依据。方法 纳入2020年4月至2023年4月在嘉兴市第二医院诊治的KD患儿为研究对象。根据KD患儿是否发生IVIGR分为IVIGR组和非IVIGR组。采用逐步多因素Logistic回归探究KD患儿发生IVIGR的独立影响因素,构建KD患儿IVIGR预测模型。采用受试者工作特征曲线(ROC)、校准曲线和决策曲线评估IVIGR预测模型的预测能力、校准能力和临床净获益。结果 研究共纳入120例KD患儿,IVIG组22例,非IVIGR组98例。多因素Logistic回归结果显示,红细胞压积、总胆红素、乳酸脱氢酶和C-反应蛋白/白蛋白比值是KD患儿发生IVIGR的独立影响因素(P <0.05)。建立的KD患儿IVIGR风险预测模型ROC曲线下面积为0.858,具有良好的预测能力、校准能力和临床净获益。结论 IVIGR风险预测模型可用于KD患儿发生静脉注射IVIGR的预测,是实现风险分级护理的简单实用的工具。
Objective To explore the influencing factors of intravenous immunoglobulin resistance(IVIGR)in children with Kawasaki disease(KD),and construct the IVIGR prediction model to provide the basis for the risk stratification nursing of children with KD.Methods Children with KD who were treated in Jiaxing Second Hospital from April 2020 to April 2023 were included in the study subjects.Children with KD were divided into IVIGR and non-IVIGR groups according to whether they developed IVIGR.Stepwise multivariate Logistic regression was used to explore the independent influencing factors of IVIGR in children with KD,and to construct a prediction model of IVIGR in children with KD.
作者
朱佳聪
张旭
ZHU Jiacong;ZHANG Xu(Department of Pediatrics,Jiaxing Second Hospital,Jiaxing 314000,Zhejiang Province,China)
出处
《中国药师》
CAS
2024年第3期415-422,共8页
China Pharmacist
基金
嘉兴市科技计划项目(2020AY30019)。
关键词
川崎病
静脉注射免疫球蛋白抵抗
风险预测模型
风险分层护理
受试者工作特征曲线
影响因素
Kawasaki disease
Intravenous immunoglobulin resistance
Risk prediction model
Risk-stratified nursing
Receiver operating characteristic curve
Influencing factors
