Authors : Bidhan Goswami, Biswajit Sutradhar, Shauli Sengupta, Himadri Bhattacharjya, Bhaskar Bhattacharjee
DOI : 10.18231/j.pjms.2023.067
Volume : 13
Issue : 2
Year : 2023
Page No : 352-356
Background: Vaccination has been recommended to curve the COVID-19 pandemic. Associations of death among COVID-19 patients with their COVID-19 vaccination status and various co-morbidities are ill understood.
Tocompare the proportions of death between COVID-19 vaccinated and un-vaccinated and to determine the association of vaccination status and selected co-morbidities with death among COVID-19 patients treated in the DCH of Tripura.
Materials and Methods : This secondary data based cross-sectional study was conducted in the DCH of Agartala Government Medical College using medical records of 2354 COVID-19 patients treated during second and third quarters of 2021, chosen by simple random sampling. A pre-designed proforma was used to extract data regarding demographics, vaccination status, co-morbidities, vitals, treatment outcome etc. from the case-sheets. Binary regression model was utilized for predicting the probability of death due to COVID-19 using important predictor variables.
Result: Majority i.e. 68% patients were aged between 18 to ?60 yr, 56.7% were male, 38.3% had co-morbidities, 11% received single dose, 9.6% received two doses and 79.4% had no COVID-19 vaccination. Death rate was 5.8% among first dose recipients, 9.3% among second dose recipients and 11.4% among un-vaccinated. Overall death rate was 7.4%. Binary regression model has shown that older age, poor oxygen saturation during hospitalization, chronic kidney disease, hypertension and diabetes mellitus are having significant enhancing effect and vaccination having protective effect upon death.
Conclusion: Old age, diabetes mellitus, hypertension and chronic kidney disease have enhancing and vaccination has got protective effect against death due to COVID-19.
Keywords: Covid-19 Vaccination, Treatment outcome, Northeast India