Unknown

Dataset Information

Early predictors for mechanical ventilation in COVID-19 patients.


ABSTRACT:

Objective

To identify potential predictors for invasive and non-invasive mechanical ventilation in coronavirus disease 2019 (COVID-19) patients.

Methods

This study retrospectively analyzes data of 516 patients with confirmed COVID-19, who were categorized into three groups based on which mechanical ventilation method was used during the hospitalization period.

Results

Among 516 confirmed cases with COVID-19, 446 patients did not receive mechanical ventilation, 38 patients received invasive mechanical ventilation (IMV) and 32 received non-invasive mechanical ventilation (NIMV). The median age of the included patients was 61 years old (interquartile range, 52-69). A total of 432 patients had one or more coexisting illnesses. The main clinical symptoms included fever (79

SUBMITTER: Li W 

PROVIDER: S-EPMC7570781 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature