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Dataset Information

Development and external validation of a simple nomogram for predicting apnea in children hospitalized with bronchiolitis.


ABSTRACT:

Background

Apnea is one of the most life-threatening complications of bronchiolitis in children. This study aimed to determine early predictors of apnea in children hospitalized with bronchiolitis and develop a simple nomogram to identify patients at risk of apnea.

Methods

This retrospective, observational study included children hospitalized with bronchiolitis in two hospitals in China. Demographic and clinical characteristics, laboratory results, pathogens, and pulmonary iconography results were recorded. A training cohort of 759 patients (one hospital) was used to identify early predictors of apnea during hospitalization. The least absolute shrinkage and selection operator (LASSO) regression analysis method was used to optimize variable selection. The nomogram was develop

SUBMITTER: Xu Q 

PROVIDER: S-EPMC9627176 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature