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ABSTRACT: Purpose
To describe the trajectory of respiratory failure in COVID-19 and explore factors associated with risk of invasive mechanical ventilation (IMV).Materials and methods
A retrospective, observational cohort study of 112 inpatient adults diagnosed with COVID-19 between March 12 and April 16, 2020. Data were manually extracted from electronic medical records. Multivariable and Univariable regression were used to evaluate association between baseline characteristics, initial serum markers and the outcome of IMV.Results
Our cohort had median age of 61 (IQR 45-74) and was 66% male. In-hospital mortality was 6% (7/112). ICU mortality was 12.8% (6/47), and 18% (5/28) for those requiring IMV. Obesity (OR 5.82, CI 1.74-19.48), former (OR 8.06, CI 1.51-43.06) and current smoking status (OR 10.33, CI 1.43-74.67) were associated with IMV after adjusting for age, sex, and high prevalence comorbidities by multivariable analysis. Initial absolute lymphocyte count (OR 0.33, CI 0.11-0.96), procalcitonin (OR 1.27, CI 1.02-1.57), IL-6 (OR 1.17, CI 1.03-1.33), ferritin (OR 1.05, CI 1.005-1.11), LDH (OR 1.57, 95% CI 1.13-2.17) and CRP (OR 1.13, CI 1.06-1.21), were associated with IMV by univariate analysis.Conclusions
Obesity, smoking history, and elevated inflammatory markers were associated with increased need for IMV in patients with COVID-19.
SUBMITTER: Monteiro AC
PROVIDER: S-EPMC7430603 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Monteiro Ana C AC Suri Rajat R Emeruwa Iheanacho O IO Stretch Robert J RJ Cortes-Lopez Roxana Y RY Sherman Alexander A Lindsay Catherine C CC Fulcher Jennifer A JA Goodman-Meza David D Sapru Anil A Buhr Russell G RG Chang Steven S Wang Tisha T Qadir Nida N
medRxiv : the preprint server for health sciences 20200814
<h4>Purpose</h4>To describe the trajectory of respiratory failure in COVID-19 and explore factors associated with risk of invasive mechanical ventilation (IMV).<h4>Materials and methods</h4>A retrospective, observational cohort study of 112 inpatient adults diagnosed with COVID-19 between March 12 and April 16, 2020. Data were manually extracted from electronic medical records. Multivariable and Univariable regression were used to evaluate association between baseline characteristics, initial se ...[more]