Author: Bastos, Gisele Alsina Nader; de Azambuja, Aline Zimmermann; Polanczyk, Carisi Anne; Gräf, Débora Dalmas; Zorzo, Isabelle Weschenfelder; Maccari, Juçara Gasparetto; Haygert, Lúcia Schnor; Nasi, Luiz Antônio; Gazzana, Marcelo Basso; Bessel, Marina; Pitrez, Paulo Márcio; de Oliveira, Roselaine Pinheiro; Scotta, Marcelo Comerlato
Title: Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil Cord-id: lkeja8sj Document date: 2020_1_1
ID: lkeja8sj
Snippet: OBJECTIVE: This study aims to describe the clinical characteristics and predictors of mechanical ventilation of adult inpatients with COVID-19 in a single center. METHODS: A retrospective cohort study was performed and included adult inpatients hospitalized from March 17th to May 3rd, 2020, who were diagnosed with SARS-CoV-2 infection. Clinical and demographic characteristics were extracted from electronic medical records. RESULTS: Overall, 88 consecutive patients were included in this study. Th
Document: OBJECTIVE: This study aims to describe the clinical characteristics and predictors of mechanical ventilation of adult inpatients with COVID-19 in a single center. METHODS: A retrospective cohort study was performed and included adult inpatients hospitalized from March 17th to May 3rd, 2020, who were diagnosed with SARS-CoV-2 infection. Clinical and demographic characteristics were extracted from electronic medical records. RESULTS: Overall, 88 consecutive patients were included in this study. The median age of the patients was 63 years (IQR 49 - 71); 59 (67%) were male, 65 (86%) had a college degree and 67 (76%) had at least one comorbidity. Twenty-nine (33%) patients were admitted to the intensive care unit, 18 (20%) patients needed mechanical ventilation, and 9 (10.2%) died during hospitalization. The median length of stay in the intensive care unit and the median duration of mechanical ventilation was 23 and 29.5 days, respectively. An age ≥ 65 years was an independent risk factor for mechanical ventilation (OR 8.4 95%CI 1.3 - 55.6 p = 0.02). CONCLUSION: Our findings describe the first wave of Brazilian patients hospitalized for COVID-19. Age was the strongest predictor of respiratory insufficiency and the need for mechanical ventilation in our population.
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