Introduction This study was aimed to identify risk factors associated with unfavorable outcomes (composite outcome variable: mortality and need for mechanical ventilation) in patients hospitalized in Galicia with COVID-19 pneumonia. Methods Retrospective, multicenter, observational study carried out in the 8 Galician tertiary hospitals. All Patients admitted with confirmed COVID-19 pneumonia from 1st of March to April 24th, 2020 were included. A multivariable logistic regression analysis was performed in order to identify the relationship between risk factors, therapeutic interventions and the composite outcome variable. Results A total of 1292 patients (56.1% male) were included. Two hundred and twenty-five (17.4%) died and 327 (25.3%) reached the main outcome variable. Age [odds ratio (OR) = 1.03 (95% confidence interval (CI): 1.01–1.04)], CRP quartiles 3 and 4 [OR = 2.24 (95% CI: 1.39–3.63)] and [OR = 3.04 (95% CI: 1.88–4.92)], respectively, Charlson index [OR = 1.16 (95%CI: 1.06–1.26)], SaO2 upon admission [OR = 0.93 (95% CI: 0.91–0.95)], hydroxychloroquine prescription [OR = 0.22 (95%CI: 0.12–0.37)], systemic corticosteroids prescription [OR = 1.99 (95%CI: 1.45–2.75)], and tocilizumab prescription [OR = 3.39 (95%CI: 2.15–5.36)], significantly impacted the outcome. Sensitivity analysis using different alternative logistic regression models identified consistently the ratio admissions/hospital beds as a predictor of the outcome [OR = 1.06 (95% CI: 1.02–1.11)]. Conclusion These findings may help to identify patients at hospital admission with a higher risk of death and may urge healthcare authorities to implement policies aimed at reducing deaths by increasing the availability of hospital beds.
【초록키워드】 COVID-19, Corticosteroids, COVID-19 pneumonia, Risk factors, Mortality, Hydroxychloroquine, mechanical ventilation, Tocilizumab, Pneumonia, hospital, CRP, outcome, risk factor, observational study, hospitals, healthcare, male, Patient, death, sensitivity analysis, Hospital admission, multicenter, Admission, Analysis, Charlson index, higher risk, 95% CI, 95% confidence interval, multivariable logistic regression, logistic regression model, help, therapeutic interventions, therapeutic intervention, Multivariable logistic regression analysis, quartile, Result, identify, carried, died, significantly, was performed, reducing, reached, impacted, patients hospitalized, systemic corticosteroid, with COVID-19, 【제목키워드】 COVID-19, therapy, Mortality, Pneumonia, Impact, Prognostic factor,