首页|川崎病患儿静脉注射免疫球蛋白抵抗的影响因素评估及IVIGR风险预测模型构建

川崎病患儿静脉注射免疫球蛋白抵抗的影响因素评估及IVIGR风险预测模型构建

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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.
Evaluation of factors affecting intravenous immunoglobulin resistance and construction of IVIGR risk prediction model in children with Kawasaki disease
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.The predictive power,the calibration power,and the clinical net benefit of the IVIGR prediction models were evaluated using the receiver operating characteristic curve(ROC),calibration curves,and decision curves.Results A total of 120 children with KD,22 in the IVIG group and 98 in the non-IVIGR group were included.Multivariate Logistic regression showed that hematocrit,total bilirubin,lactate dehydrogenase,and C-reactive protein/albumin ratio were independent influencing factors for the development of IVIGR in children with KD(P<0.05).The area under the ROC curve of the prediction model for IVIGR in KD children was 0.858,which had good predictive ability,calibration ability,and clinical net benefit.Conclusion The IVIGR risk prediction model can be used to predict the occurrence of intravenous IV IGR in children with KD,and it is a simple and practical tool to achieve risk-graded care.

Kawasaki diseaseIntravenous immunoglobulin resistanceRisk prediction modelRisk-stratified nursingReceiver operating characteristic curveInfluencing factors

朱佳聪、张旭

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嘉兴市第二医院儿科(浙江嘉兴 314000)

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

嘉兴市科技计划

2020AY30019

2024

中国药师
国家药品监督管理局高级研修学院,武汉医药(集团)股份有限公司

中国药师

CSTPCD
影响因子:0.944
ISSN:1008-049X
年,卷(期):2024.27(3)
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