SARS-CoV-2 infection related mortality and comorbidities in a dedicated COVID-19 facility: A record based analysis from Uttar Pradesh

Authors

  • Richa Gupta Assistant Professor and Head, Department of Forensic Medicine, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India https://orcid.org/0000-0002-2379-1672
  • Balvir Singh Professor and Head, Department of Medicine, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India
  • Ashish Gautam Associate Professor, Department of Medicine, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India
  • Geetu Singh Assistant Professor, Department of Community Medicine, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India https://orcid.org/0000-0001-8546-5322
  • Mausim Khan Postgraduate Resident, Department of Forensic Medicine, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India
  • Vikas Kumar Assistant Professor, Department of Microbiology, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India https://orcid.org/0000-0002-4787-6224

DOI:

https://doi.org/10.3126/ajms.v13i3.41331

Keywords:

Co-morbidity, COVID-19 deaths, Death audit, Mortality, SARS CoV-2

Abstract

Background: In India, on 30th January 2020, the first case of COVID-19 was reported, thereafter country has faced two waves with disastrous second wave. A total of about 34 million cases and 4.68 lakh deaths have been reported so far from India. Few studies have reported death rate as 5.7% among COVID-19 patients with at least one co-existing medical condition, as compared to 0.7% in patients without any comorbidity.

Aims and Objectives: We aim to analyze the death audit data of 467 COVID-19 death cases considering factors of age, gender, area of residence, cause of death, related comorbidities, and relation with duration of hospital stay and presence or absence of comorbidity in COVID-19 death cases.

Materials and Methods: This is an observational study from April 2020 to July 2021which is based on records obtained from death audit reports of a dedicated COVID-19 facility at a tertiary hospital, Agra, Uttar Pradesh. The state authorities introduced a standard “COVID-19 Death Audit Proforma” on a death audit portal to audit all deaths related from COVID-19 (SARS-CoV-2) infection. Statistical analysis used: The data were recorded in Microsoft Excel and analyzed using statistical software, Microsoft Excel (Version 16.49). The results are presented accordingly in form of descriptive statistics.

Results: We have reported findings from 467 COVID-19 deaths from our dedicated COVID-19 facility in the present study. Median age of deceased was found to be 57 years with (71.9%) deaths in males, with predominantly 77.1% of patients residing in urban area. 74% of COVID-19 deaths were reported along with one or more comorbid illness at the time of admission with hypertension to be the most common comorbid disease (42.9%) followed by diabetes (34.5%). Median length of hospital stay is reported as 4 days.

Conclusion: Our analysis from Uttar Pradesh dedicated COVID-19 facility found that comorbidities were present invariably in 74% of deaths from SAR-CoV-2 infection. Early diagnosis and timely aggressive management is pillar for reducing morbidity and mortality from COVID-19 disease.

Downloads

Download data is not yet available.
Abstract
198
PDF
268

Downloads

Published

2022-03-01

How to Cite

Gupta, R. ., Singh, B. ., Gautam, A. ., Singh, G., Khan, M., & Kumar, V. (2022). SARS-CoV-2 infection related mortality and comorbidities in a dedicated COVID-19 facility: A record based analysis from Uttar Pradesh. Asian Journal of Medical Sciences, 13(3), 3–10. https://doi.org/10.3126/ajms.v13i3.41331

Issue

Vol. 13 No. 3 (2022)

Section

Original Articles

License

Copyright (c) 2022 Asian Journal of Medical Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. The journal holds copyright and publishes the work under a Creative Commons CC-BY-NC license that permits use, distribution and reprduction in any medium, provided the original work is properly cited and is not used for commercial purposes. The journal should be recognised as the original publisher of this work.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).