Cargando…

An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India

BACKGROUND: After nine months of responding to the coronavirus disease-19 (COVID-19) pandemic, the scientific fraternity is yet to unravel the mystery of those who are at most risk from mortality. Despite resistance to wear masks, the global public health response has beaten the grimmer projections...

Descripción completa

Detalles Bibliográficos
Autores principales: Bobdey, Saurabh, Chawla, Naveen, Behera, Vineet, Ray, Sougat, Ilankumaran, M., Koshy, George, Kaushik, S.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313027/
https://www.ncbi.nlm.nih.gov/pubmed/34334904
http://dx.doi.org/10.1016/j.mjafi.2021.02.004
_version_ 1783729247747047424
author Bobdey, Saurabh
Chawla, Naveen
Behera, Vineet
Ray, Sougat
Ilankumaran, M.
Koshy, George
Kaushik, S.K.
author_facet Bobdey, Saurabh
Chawla, Naveen
Behera, Vineet
Ray, Sougat
Ilankumaran, M.
Koshy, George
Kaushik, S.K.
author_sort Bobdey, Saurabh
collection PubMed
description BACKGROUND: After nine months of responding to the coronavirus disease-19 (COVID-19) pandemic, the scientific fraternity is yet to unravel the mystery of those who are at most risk from mortality. Despite resistance to wear masks, the global public health response has beaten the grimmer projections of millions of deaths. The present study seeks to analyze the survival of COVID-19 patients at a tertiary care hospital and identify the risk factors of mortality. METHODS: Medical records of 1233 RT PCR confirmed COVID-19 patients admitted in a tertiary care hospital between 01 April and 30 September 2020 were retrospectively analyzed for calculating overall survival and to investigate the independent predictors of survival of COVID-19 patients. RESULTS: There were 72 (5.8%) deaths; which occurred in 24.9% of the elderly (age > 60yrs) people (P < 0.001), 76.0% in people with multiple comorbidities (having more than one comorbidity) (P < 0.001), 75.6% in people with diabetes (P < 0.001), and 75.5% in people with hypertension (P < 0.001). A significantly higher risk of mortality was observed in elderly patients, patients with comorbidities, and patients requiring oxygen while admitted in the hospital. CONCLUSION: Survival reflects the cure rates and is used by health professionals and policymakers to plan and implement disease control measures. The insights provided by the study would help facilitate the identification of patients at risk and timely provision of specialized care for the prevention of adverse outcomes in the hospital setting.
format Online
Article
Text
id pubmed-8313027
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-83130272021-07-26 An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India Bobdey, Saurabh Chawla, Naveen Behera, Vineet Ray, Sougat Ilankumaran, M. Koshy, George Kaushik, S.K. Med J Armed Forces India Original Article BACKGROUND: After nine months of responding to the coronavirus disease-19 (COVID-19) pandemic, the scientific fraternity is yet to unravel the mystery of those who are at most risk from mortality. Despite resistance to wear masks, the global public health response has beaten the grimmer projections of millions of deaths. The present study seeks to analyze the survival of COVID-19 patients at a tertiary care hospital and identify the risk factors of mortality. METHODS: Medical records of 1233 RT PCR confirmed COVID-19 patients admitted in a tertiary care hospital between 01 April and 30 September 2020 were retrospectively analyzed for calculating overall survival and to investigate the independent predictors of survival of COVID-19 patients. RESULTS: There were 72 (5.8%) deaths; which occurred in 24.9% of the elderly (age > 60yrs) people (P < 0.001), 76.0% in people with multiple comorbidities (having more than one comorbidity) (P < 0.001), 75.6% in people with diabetes (P < 0.001), and 75.5% in people with hypertension (P < 0.001). A significantly higher risk of mortality was observed in elderly patients, patients with comorbidities, and patients requiring oxygen while admitted in the hospital. CONCLUSION: Survival reflects the cure rates and is used by health professionals and policymakers to plan and implement disease control measures. The insights provided by the study would help facilitate the identification of patients at risk and timely provision of specialized care for the prevention of adverse outcomes in the hospital setting. Elsevier 2021-07 2021-07-26 /pmc/articles/PMC8313027/ /pubmed/34334904 http://dx.doi.org/10.1016/j.mjafi.2021.02.004 Text en © 2021 Director General, Armed Forces Medical Services. Published by Elsevier, a division of RELX India Pvt. Ltd.
spellingShingle Original Article
Bobdey, Saurabh
Chawla, Naveen
Behera, Vineet
Ray, Sougat
Ilankumaran, M.
Koshy, George
Kaushik, S.K.
An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India
title An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India
title_full An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India
title_fullStr An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India
title_full_unstemmed An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India
title_short An analysis of mortality and survival of COVID 19 patients admitted to a tertiary care hospital in Maharashtra, India
title_sort analysis of mortality and survival of covid 19 patients admitted to a tertiary care hospital in maharashtra, india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313027/
https://www.ncbi.nlm.nih.gov/pubmed/34334904
http://dx.doi.org/10.1016/j.mjafi.2021.02.004
work_keys_str_mv AT bobdeysaurabh ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT chawlanaveen ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT beheravineet ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT raysougat ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT ilankumaranm ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT koshygeorge ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT kaushiksk ananalysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT bobdeysaurabh analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT chawlanaveen analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT beheravineet analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT raysougat analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT ilankumaranm analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT koshygeorge analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia
AT kaushiksk analysisofmortalityandsurvivalofcovid19patientsadmittedtoatertiarycarehospitalinmaharashtraindia