DOI: https://dx.doi.org/10.18203/2394-6040.ijcmph20222383
Published: 2022-09-28

Predictors of mortality among COVID-19 patients admitted in a dedicated COVID hospital during the pandemic in Himachal Pradesh, India

Anita Thakur, Durgesh K. Thakur, Chitvan Thakur

Abstract


Background: The outcome of COVID-19 disease is variable. Mostly patients have mild to moderate disease and get recovered; some patients have severe disease leading to mortality. Hence it is essential to find out the factors affecting the outcome in the COVID-19 patients. The aim of this study was to identify predictors of mortality among hospitalized patients of COVID-19 and to estimate their prevalence among these patients.

Methods: This was an observational study, longitudinal in design, carried out among 790 COVID-19 patients hospitalized in a tertiary care dedicated COVID hospital in Himachal, during the second wave of COVID.

Results: Overall 26.2% of the hospitalized patients were having one or more co morbidities. DM (17.6%) and delayed hospitalization (42.7%) were highly prevalent risk factors among hospitalized patients with high mortality 39.6% and 49% respectively. Overall mortality rate among study participants was 29.7%. Patients having malignancy and other immuno-compromising diseases had highest mortality rate 68.4%. Median time gap between onset of symptoms and hospitalization was 9 days among those who died and 5 days among those who recovered. On multivariate logistic regression analysis higher age (>60 years) AOR 5.392 (3.435-8.463), delayed hospital admission AOR 8.204 (5.522-12.188), diabetes mellitus AOR 1.888 (CI-1.199-2.972), malignancy and other immune compromising diseases AOR 9.108 (2.934-28.270) and chronic kidney disease AOR 7.524 (CI=2.289-27.735) were the significant predictors of mortality.

Conclusions: We observed the higher COVID-19 mortality among the patients having higher age, DM, CKD, immunocompromising diseases and delay in hospitalization. DM and delayed hospitalization were two most prevalent risk factors present among these patients.


Keywords


COVID-19 mortality, Comorbidities, Pandemic, Predictors, Delayed hospitalization

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