Article: Prediction of mortality by age and multi-morbidities among confirmed COVID-19 patients: Secondary analysis of surveillance data in Pune, Maharashtra, India.
Indian journal of public health
2021 Volume 65, Issue 1, Page(s) 64–66
Abstract: ... of surveillance data of 11,278 lab-confirmed COVID-19 cases and admitted in dedicated COVID hospitals and ... to describe the predictors of death among the confirmed cases of COVID-19 by carrying out a secondary analysis ... Maharashtra has reported the maximum number of COVID-19 cases in India. This study was conducted ...
| Abstract | Maharashtra has reported the maximum number of COVID-19 cases in India. This study was conducted to describe the predictors of death among the confirmed cases of COVID-19 by carrying out a secondary analysis of surveillance data of 11,278 lab-confirmed COVID-19 cases and admitted in dedicated COVID hospitals and dedicated COVID health-care centers between April 4, 2020, and July 17, 2020, in Pune district of Maharashtra. A total of 1270 (11.2%, 95% confidence interval [CI]: 10.7-11.9) deaths out of 11,278 patients were reported. Out of the 1270 deaths, 825 (65%) were male and 788 (62%) had one or more comorbidities. Logistic regression was done for predictors of death, and males (adjusted odds ratio: 1.6, 95% CI: 1.4-1.8), those with symptoms at the time of admission (adjusted odds ratio: 2.9, 95% CI: 2.5-3.4), and those with the presence of two or more comorbidities (adjusted odds ratio: 2.7, 95% CI: 2.2-3.4) were having a higher risk of death. |
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| MeSH term(s) | Adult ; Age Distribution ; Aged ; COVID-19/epidemiology ; COVID-19/mortality ; COVID-19/physiopathology ; Comorbidity ; Female ; Humans ; India/epidemiology ; Logistic Models ; Male ; Middle Aged ; Risk Factors ; SARS-CoV-2 ; Sex Distribution |
| Language | English |
| Publishing date | 2021-03-22 |
| Publishing country | India |
| Document type | Journal Article |
| ZDB-ID | 800737-8 |
| ISSN | 2229-7693 ; 0019-557X |
| ISSN (online) | 2229-7693 |
| ISSN | 0019-557X |
| DOI | 10.4103/ijph.IJPH_1096_20 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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