Gattani PL, Nakel MP, Inamdar IF, Maidapwad SL, Damkondwar OB, Warkad KS, Butte RS, Bansode AL. Predictors of Mortality among COVID-19 Patients - A Case Control Study at Tertiary Care Center, Nanded (Maharashtra).
Indian J Community Med 2023;
48:230-237. [PMID:
37323752 PMCID:
PMC10263026 DOI:
10.4103/ijcm.ijcm_1495_21]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 01/04/2023] [Indexed: 06/17/2023] Open
Abstract
Background
The novel Coronavirus is belonging to the family of SARS & MERS-CoV, the impact of the earlier is more dreadful as demonstrated by the steady increase in morbid cases. The average incubation period of COVID-19 is 1-14 days with a mean of 6 days. Aim - To evaluate predictors of mortality among COVID-19 patients. Objectives - 1. To assess risk predictors associated with mortality among COVID-19 patients 2. To a suggest prediction model for preventing mortality in future outbreaks.
Materials and Methods
Study design - A case-control study. Study place -Tertiary care center, Nanded, Maharashtra. The present study included 400 cases that died off due to Covid-19 and 400 controls survived COVID-19 disease in a 1:1 proportion.
Results
On admission, a significant difference was observed among cases and controls with reference to the percentage of SpO2 (p < 0.05). The proportion of associated co-morbidities among cases was very high i.e., 75.75% as compared to controls with a proportion of 29.25% co-morbidities. The median days of hospital stay were significantly lower in cases compared to controls (3 days vs 12 days, P < 0.001).
Conclusion
Length of hospital stay (in days) was showing a significant difference among cases and control (3 days Vs 12 days); hospital stay was less (median 3 days) for cases, as they reported late and thus died earlier; hence concluded that early hospital admission will decrease chances of death due to COVID-19.
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