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Dataset Information

Construction and efficacy evaluation of a model for early diagnosis of pediatric sepsis based on LASSO-logistic regression.


ABSTRACT:

Objective

The aim of this study was to analyse the clinical characteristics and related risk factors of Pediatric Sepsis, construct a column-line diagram model to predict the likelihood of Pediatric Sepsis, and validate the model to facilitate primary care paediatricians to quickly and quantitatively assess the risk of Pediatric Sepsis.

Methods

This single-center retrospective study included children hospitalized for infections at Gansu Provincial Maternity and Child-Care Hospital from January 2018 to June 2024. Data on 39 variables covering baseline characteristics, vital signs, and laboratory indicators were collected. The samples were randomized into training and validation groups in a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC12417422 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature