首页|极低/超低出生体质量儿晚发型败血症风险预测模型的构建与验证

极低/超低出生体质量儿晚发型败血症风险预测模型的构建与验证

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目的:构建并验证极低/超低出生体质量儿(very/extremely low birth weight infants,VLBWI/ELBWI)发生晚发型败血症(late-onset sepsis,LOS)的风险预测模型.方法:选取 2019 年 1 月—2021 年 12 月南京医科大学附属妇产医院新生儿重症监护室收治的 579 例VLBWI/ELBWI作为研究对象,其中发生LOS 93 例为LOS组,未发生LOS 486 例为对照组,分析两组发生LOS的影响因素,将单因素中P<0.05 的因素纳入Logistic 回归分析,建立风险预测模型,并应用ROC曲线检验模型的预测效果.结果:最终纳入出生体质量、外周静脉置管时间、禁食时间、早发型败血症(early-onset sepsis,EOS)发生史共 4 个因素构建出VLBWI/ELBWI发生LOS的风险预测模型,模型公式为Y=-2.349-0.003×出生体质量(g)+0.095×外周静脉置管时间(d)+0.198×禁食时间(d)-3.075×EOS发生史.预测模型ROC曲线下面积为 0.860,约登指数最大值为 0.597,预测敏感度为 0.817,特异度为 0.780,最佳临界值为 0.159.结论:构建的模型预测性能良好,适用于临床VLBWI/ELBWI中LOS的筛查,可为医护人员尽早采取预防性措施提供理论依据.
Construction of a risk prediction model for late-onset sepsis in infants with very/extremely low birth weight
Objective:To investigate the risk prediction model of late-onset sepsis(LOS)in very/extremely low birth weight infants(VLBWI/ELBWI).Methods:579 infants admitted to the Neonatal Intensive Care Unit of Women's Hospital of Nanjing Medical University from January 2019 to December 2021 were selected,of which 93 infants with LOS occurrence were set as LOS group and 486 infants without LOS occurrence were set as control group.The influencing factors of the occurrence of LOS in two groups were analyzed.Factors with P<0.05 were included in Logistic regression analysis,risk prediction model was estab-lished,and ROC curve was used to test the prediction effect of the model.Results:Four factors including birth weight,dura-tion of peripheral venous catheterization,fasting duration and history of early-onset sepsis(EOS)were included to construct the risk prediction model of LOS occurrence in VLBWI/ELBWI.The model formula was Y=-2.349-0.003×birth weight(g)+0.095×duration of peripheral venous catheter(d)+0.198×fasting duration(d)-3.075×EOS occurrence history.The area under ROC curve of the prediction model was 0.860,the maximum of the Jorden index was 0.597,the prediction sensitivity was 0.817,the specificity was 0.780,and the optimal critical value was 0.159.Conclusion:The constructed model has good prediction performance and can predict the occurrence of LOS in VLBWI/ELBWI.It can provide theoretical basis for medical staff to take early interventions as soon as possible.

very low birth weight infantextremely low birth weight infantlate-onset sepsisearly-onset sepsisrisk factorrisk prediction model

孙兴、刘蓓蓓、顾则娟、孙小凡、徐微、徐佳忆

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南京医科大学附属妇产医院新生儿重症监护室,江苏 210004

南京医科大学第一附属医院护理部

南京中医药大学护理学院

极低出生体质量儿 超低出生体质量儿 晚发型败血症 早发型败血症 危险因素 风险预测模型

江苏省医学创新团队基金资助项目

CXTDA2017019

2024

南通大学学报(医学版)
南通大学

南通大学学报(医学版)

影响因子:0.637
ISSN:1674-7887
年,卷(期):2024.44(3)