tetano
Editor, Senior Moderator
Public Health
. 2020 Nov 10;190:1-3.
doi: 10.1016/j.puhe.2020.10.029. Online ahead of print.
Survival in adult inpatients with COVID-19
E Murillo-Zamora[SUP] 1 [/SUP], C M Hernandez-Suarez[SUP] 2 [/SUP]
Affiliations
Abstract
Background: The mortality of the coronavirus disease 2019 (COVID-19) pandemic is high, and data regarding its prognosis are scarce. We aimed to assess the survival experience and determining factors in adult inpatients with laboratory-confirmed COVID-19.
Methods: We conducted a nationwide and retrospective cohort study. Data from 66,123 individuals were analyzed using the Kaplan-Meier method, and a multivariate Cox proportional hazard regression model was fitted.
Results: The 7-day survival was 72.2% and went to 47.6%, 35.0%, and 23.9% on days 15, 21, and 30 of hospital stay, respectively. In the multiple analysis, factors associated with an increased risk of dying were male gender, age, pneumonia at hospital admission, immunosuppression, and personal history of chronic non-communicable diseases. Reduced risk of a fatal outcome was observed among patients with asthma history.
Conclusions: To the best of our knowledge, this is the largest study analyzing the survival probability in a large subset of Latin-American adults with COVID-19, in whom the disease burden has been high. Our results contribute to achieving a better understanding of disease evolution.
Keywords: COVID-19; Cohort studies; Hazards models; Inpatients; Proportional; Survival.
. 2020 Nov 10;190:1-3.
doi: 10.1016/j.puhe.2020.10.029. Online ahead of print.
Survival in adult inpatients with COVID-19
E Murillo-Zamora[SUP] 1 [/SUP], C M Hernandez-Suarez[SUP] 2 [/SUP]
Affiliations
- PMID: 33316477
- DOI: 10.1016/j.puhe.2020.10.029
Abstract
Background: The mortality of the coronavirus disease 2019 (COVID-19) pandemic is high, and data regarding its prognosis are scarce. We aimed to assess the survival experience and determining factors in adult inpatients with laboratory-confirmed COVID-19.
Methods: We conducted a nationwide and retrospective cohort study. Data from 66,123 individuals were analyzed using the Kaplan-Meier method, and a multivariate Cox proportional hazard regression model was fitted.
Results: The 7-day survival was 72.2% and went to 47.6%, 35.0%, and 23.9% on days 15, 21, and 30 of hospital stay, respectively. In the multiple analysis, factors associated with an increased risk of dying were male gender, age, pneumonia at hospital admission, immunosuppression, and personal history of chronic non-communicable diseases. Reduced risk of a fatal outcome was observed among patients with asthma history.
Conclusions: To the best of our knowledge, this is the largest study analyzing the survival probability in a large subset of Latin-American adults with COVID-19, in whom the disease burden has been high. Our results contribute to achieving a better understanding of disease evolution.
Keywords: COVID-19; Cohort studies; Hazards models; Inpatients; Proportional; Survival.