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10.1016/j.puhe.2020.10.029

http://scihub22266oqcxt.onion/10.1016/j.puhe.2020.10.029
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33316477!7654385!33316477
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suck abstract from ncbi

pmid33316477      Public+Health 2021 ; 190 (?): 1-3
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  • Survival in adult inpatients with COVID-19 #MMPMID33316477
  • Murillo-Zamora E; Hernandez-Suarez CM
  • Public Health 2021[Jan]; 190 (?): 1-3 PMID33316477show ga
  • 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.
  • |*SARS-CoV-2[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |COVID-19/*mortality[MESH]
  • |Chronic Disease/epidemiology[MESH]
  • |Cohort Studies[MESH]
  • |Comorbidity[MESH]
  • |Female[MESH]
  • |Hospital Mortality[MESH]
  • |Hospitalization[MESH]
  • |Humans[MESH]
  • |Inpatients/*statistics & numerical data[MESH]
  • |Kaplan-Meier Estimate[MESH]
  • |Length of Stay[MESH]
  • |Male[MESH]
  • |Mexico/epidemiology[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Proportional Hazards Models[MESH]
  • |Retrospective Studies[MESH]


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