A nomogram to predict 28-day mortality in neonates with sepsis: a retrospective study based on the MIMIC-III database.

ABSTRACT:

Background

Sepsis is the second-leading cause of death in neonates. We established a predictive nomogram to identify critically ill neonates early and reduce the time to treatment.

Methods

It is a retrospective case-control study based on the MIMIC-III database. The study population comprised 924 neonates diagnosed with sepsis.

Results

Neonates with sepsis included in the MIMIC-III database were enrolled, including 880 surviving neonates and 44 neonates who died. In the derivation dataset, stepwise regression and the Lasso algorithm were employed to select predictive variables, and the neonatal sequential organ failure assessment score (nSOFA) was calculated simultaneously. Bootstrap resampling was utilized to perform internal validation. The results indicated that th

SUBMITTER: Liang Y 

PROVIDER: S-EPMC10560361 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature