Affiliation:
1. Department of Medicine, St. Johns Medical College, Bengaluru, Karnataka, India
2. Department of Biostatistics, St. Johns Medical College, Bengaluru, Karnataka, India
3. Department of Medicine, St. John’s Medical College and Hospital, Bengaluru, Karnataka, India
Abstract
Abstract
Background:
Advancing age and multimorbidity are well-established risk factors for the incidence and severity of coronavirus disease 2019 (COVID-19) infection.
Aims:
To describe the clinical profile of hospitalized elderly patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and to assess the risk factors for mortality.
Methodology:
Data on 465 consecutive patients aged 60 years and above admitted with COVID-19 at St John’s Medical College Hospital, Bangalore, were analyzed using the Statistical Package for the Social Sciences (SPSS) version 20.0 software (SPSS Inc., Chicago, IL, USA).
Results:
A total of 465 patients were included for the analysis. The overall mean age of the study group was 67 ± 4 years with 315 (67.9%) male patients. Eighty-one patients had mild, 117 had moderate, and 267 had severe COVID-19. After adjusting for age, gender, glycemic status, and COVID severity in the multivariate logistic regression analysis, elevated neutrophil-to-lymphocyte ratio (adjusted odds ratio [aOR] 1.93 95% confidence interval [CI] 1.14–3.29), end stage renal disease (aOR 3.49, 95% CI 1.34–9.06), acute kidney injury (aOR 3.25, 95% CI 1.94–5.41), shock (aOR 13.53 95% CI 6.35–28.82), mechanical ventilation (aOR 8.53, 95% CI 4.85–15.00), and intensive care unit care (aOR 14.5 95% CI 7.42–28.38) were the independent predictors of mortality.
Conclusion:
COVID-19 is characterized by poor outcomes and mortality, especially among older patients who have multiple comorbid illness.