Predictors of ICU Admission in Children with COVID-19: Analysis of a Large Mexican Population Dataset

Author:

Cárdenas-Rojas Martha I.1ORCID,Guzmán-Esquivel José1ORCID,Murillo-Zamora Efrén1ORCID

Affiliation:

1. Unidad de Investigación en Epidemiología Clínica, Instituto Mexicano del Seguro Social, Av. Lapislázuli 250, Col. El Haya, Villa de Álvarez 28984, Mexico

Abstract

Children, although mostly affected mildly or asymptomatically, have also developed severe coronavirus disease 2019 (COVID-19). This study aims to assess potential predictors of intensive care unit (ICU) admission in a large population (n = 21,121) of children aged 0–9 years with laboratory-confirmed disease. We performed a cross-sectional analysis of a publicly available dataset derived from the normative epidemiological surveillance of COVID-19 in Mexico. The primary binary outcome of interest was admission to the ICU due to respiratory failure. Results showed that immunosuppressed children and those with a personal history of cardiovascular disease had a higher likelihood of being admitted to the ICU, while increasing age and the pandemic duration were associated with a lower likelihood of admission. The study’s results have the potential to inform clinical decision-making and enhance management and outcomes for children affected by COVID-19 in Mexico.

Publisher

MDPI AG

Subject

General Medicine

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