Derivation and external validation of predictive models for invasive mechanical ventilation in intensive care unit patients with COVID-19.

ABSTRACT:

Background

This study aimed to develop prognostic models for predicting the need for invasive mechanical ventilation (IMV) in intensive care unit (ICU) patients with COVID-19 and compare their performance with the Respiratory rate-OXygenation (ROX) index.

Methods

A retrospective cohort study was conducted using data collected between March 2020 and August 2021 at three hospitals in Rio de Janeiro, Brazil. ICU patients aged 18 years and older with a diagnosis of COVID-19 were screened. The exclusion criteria were patients who received IMV within the first 24 h of ICU admission, pregnancy, clinical decision for minimal end-of-life care and missing primary outcome data. Clinical and laboratory variables were collected. Multiple logistic regression analysis was performed to sele

SUBMITTER: Maia G 

PROVIDER: S-EPMC11339005 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature