Clinico-demographic factors affecting mortality in COVID-19 patients at a health care facility, Western Uttar Pradesh

西乌塔尔邦某医疗机构中影响新冠肺炎患者死亡率的临床人口统计学因素

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Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) a global problem, has affected all aspects of health, that is, physical, social, and mental. Our study aimed to describe various social-demographic factors and existing comorbidities that affected mortality in COVID-19 admitted patients. MATERIALS AND METHODS: This was a hospital-based retrospective study. The study included medical records of COVID-19 patients admitted from April 2021 to August 2021. Data was entered in Microsoft Excel 2013 and analyzed in STATA version 18.0. The Chi-square test, unpaired t-test, and Cox proportional hazard model were employed for analysis. RESULTS: Of the total 1156 admitted patients, 103 hospitalized patients progressed to death (8.91%). Factors found to be significant with non-survivorship were age, residence, admission status, and coexisting comorbidities. In hazard analysis, geriatric patients had 4.358 times more hazard of death. Patients with diabetes and hypertension had two times higher hazard of death than patients without these comorbidities. CONCLUSION: Mortality of patients was substantially higher in patients' ages above 60 years and patients with comorbidities. Therefore, close monitoring and priority treatment should be provided to elderly patients and patients with comorbidities.

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