Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City

Autor: Luke J. D. O'Donnell, Christopher M. Petrilli, Leora I. Horwitz, Robert J. Cerfolio, Fritz Francois, Simon Jones, Jie Yang, Yelena Chernyak, Katie A Tobin, Harish Rajagopalan
Jazyk: angličtina
Rok vydání: 2020
Předmět:
DOI: 10.1101/2020.04.08.20057794
Popis: BackgroundLittle is known about factors associated with hospitalization and critical illness in Covid-19 positive patients.MethodsWe conducted a cross-sectional analysis of all patients with laboratory-confirmed Covid-19 treated at an academic health system in New York City between March 1, 2020 and April 2, 2020, with follow up through April 7, 2020. Primary outcomes were hospitalization and critical illness (intensive care, mechanical ventilation, hospice and/or death). We conducted multivariable logistic regression to identify risk factors for adverse outcomes, and maximum information gain decision tree classifications to identify key splitters.ResultsAmong 4,103 Covid-19 patients, 1,999 (48.7%) were hospitalized, of whom 981/1,999 (49.1%) have been discharged, and 292/1,999 (14.6%) have died or been discharged to hospice. Of 445 patients requiring mechanical ventilation, 162/445 (36.4%) have died. Strongest hospitalization risks were age ≥75 years (OR 66.8, 95% CI, 44.7-102.6), age 65-74 (OR 10.9, 95% CI, 8.35-14.34), BMI>40 (OR 6.2, 95% CI, 4.2-9.3), and heart failure (OR 4.3 95% CI, 1.9-11.2). Strongest critical illness risks were admission oxygen saturation 2500 (OR 6.9, 95% CI, 3.2-15.2), ferritin >2500 (OR 6.9, 95% CI, 3.2-15.2), and C-reactive protein (CRP) >200 (OR 5.78, 95% CI, 2.6-13.8). In the decision tree for admission, the most important features were age >65 and obesity; for critical illness, the most important was SpO20.5, troponin 64 and CRP>200.ConclusionsAge and comorbidities are powerful predictors of hospitalization; however, admission oxygen impairment and markers of inflammation are most strongly associated with critical illness.
Databáze: OpenAIRE