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10.1590/S1679-49742020000400022

http://scihub22266oqcxt.onion/10.1590/S1679-49742020000400022
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32997070!ä!32997070

suck abstract from ncbi


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pmid32997070      Epidemiol+Serv+Saude 2020 ; 29 (4): e2020413
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  • Fatores associados ao obito hospitalar por COVID-19 no Espirito Santo, 2020 #MMPMID32997070
  • Maciel EL; Jabor P; Goncalves Junior E; Tristao-Sa R; Lima RCD; Reis-Santos B; Lira P; Bussinguer ECA; Zandonade E
  • Epidemiol Serv Saude 2020[]; 29 (4): e2020413 PMID32997070show ga
  • OBJECTIVE: To analyze factors associated with the deaths of individuals hospitalized with COVID-19 in the state of Espirito Santo, Brazil. METHODS: This was a cross-sectional study using secondary data. Logistic regression models were used to estimate crude and adjusted odds ratios (OR). RESULTS: As at May 14, 2020, 200 individuals had been discharged and 220 had died. Of the total number of people studied, 57.1% were male, 46.4% were >60 years old, 57.9% were cases notified by a private institution, and 61.7% had >1 comorbidity. In the adjusted analysis, hospital mortality was higher for the 51-60 age group (OR=4.33 - 95%CI 1.50;12.46), the over 60 age group (OR=11.84 - 95%CI 4.31;32.54), cases notified by public institutions (OR=8.23 - 95%CI 4.84;13.99) and cases with a greater number of comorbidities (two [OR=2.74 - 95%CI 1.40;5.34] and three [OR=2.90 - 95%CI 1.07;7.81]). CONCLUSION: Higher mortality was found in older individuals, those with comorbidities and users of public hospitals.
  • |*Betacoronavirus[MESH]
  • |*Hospital Mortality[MESH]
  • |Adult[MESH]
  • |Age Distribution[MESH]
  • |Aged[MESH]
  • |Brazil/epidemiology[MESH]
  • |COVID-19[MESH]
  • |Cause of Death[MESH]
  • |Comorbidity[MESH]
  • |Coronavirus Infections/epidemiology/*mortality[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Hospitalization/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Logistic Models[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Odds Ratio[MESH]
  • |Pandemics[MESH]
  • |Patient Discharge/statistics & numerical data[MESH]
  • |Pneumonia, Viral/epidemiology/*mortality[MESH]
  • |SARS-CoV-2[MESH]
  • |Sex Distribution[MESH]


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