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新生儿败血症28天死亡率的预测模型建立与验证

涂相文 唐满妹 罗孝华

中国医学创新2024,Vol.21Issue(16):10-15,6.
中国医学创新2024,Vol.21Issue(16):10-15,6.DOI:10.3969/j.issn.1674-4985.2024.16.003

新生儿败血症28天死亡率的预测模型建立与验证

Development and Validation of A Prediction Model for 28-day Mortality of Neonatal Sepsis

涂相文 1唐满妹 2罗孝华3

作者信息

  • 1. 赣州市妇幼保健院优生遗传实验科 江西 赣州 341000
  • 2. 赣州市疾病预防控制中心检验科 江西 赣州 341000
  • 3. 赣州市妇幼保健院新生儿科 江西 赣州 341000
  • 折叠

摘要

Abstract

Objective:Neonatal sepsis is a serious infectious disease with high morbidity and mortality in the neonatal period.The aim of this study was to develop a predictive model for 28-day mortality in neonates with sepsis.Method:A retrospective analysis was performed on the clinical data and laboratory examination results on admission of 215 neonates with sepsis who were admitted to Ganzhou Maternal and Child Health Hospital from April 2019 to April 2023.The children with sepsis were divided into survival group and non-survival group,and the baseline data of the two groups were compared.Backward stepwise regression analysis was used to establish the optimal prediction model for neonatal sepsis mortality,and cross-validation techniques were used to internally validate the model.Result:There were significant differences in platelet(PLT),prothrombin time(PT),international normalized ratio(INR),albumin(ALB),aspartate aminotransferase(AST)and serum UREA between the survival group and the non-survival group(P<0.05).Multivariate logistic analysis was used to determine the independent variables PT,ALB,UREA and HGB,which were included in the final model.The area under the curve(AUC)of the model was 0.811,Hosmer-Lemeshow test P=0.789,and after internal verification,the AUC was 0.759.Conclusion:In this study,a refined model with readily available biochemical parameters is developed to predict 28-day mortality of neonatal sepsis with good predictive power.

关键词

败血症/新生儿/死亡率/预测模型

Key words

Sepsis/Neonatal/Mortality/Predictive modeling

引用本文复制引用

涂相文,唐满妹,罗孝华..新生儿败血症28天死亡率的预测模型建立与验证[J].中国医学创新,2024,21(16):10-15,6.

中国医学创新

1674-4985

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