Cargando…

“Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”

INTRODUCTION: COVID19* is a new disease with significant mortality risk. Because of the scarcity of the study on factors associated with the mortality in Tamil Nadu present study was done to determine the factors associated with the outcome of the COVID19 patients admitted in a tertiary care hospita...

Descripción completa

Detalles Bibliográficos
Autores principales: Priya, S., Selva Meena, M., Sangumani, J., Rathinam, Prabhakaran, Brinda Priyadharshini, C., Vijay Anand, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. on behalf of INDIACLEN. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872844/
https://www.ncbi.nlm.nih.gov/pubmed/33585725
http://dx.doi.org/10.1016/j.cegh.2021.100705
_version_ 1783649266877595648
author Priya, S.
Selva Meena, M.
Sangumani, J.
Rathinam, Prabhakaran
Brinda Priyadharshini, C.
Vijay Anand, V.
author_facet Priya, S.
Selva Meena, M.
Sangumani, J.
Rathinam, Prabhakaran
Brinda Priyadharshini, C.
Vijay Anand, V.
author_sort Priya, S.
collection PubMed
description INTRODUCTION: COVID19* is a new disease with significant mortality risk. Because of the scarcity of the study on factors associated with the mortality in Tamil Nadu present study was done to determine the factors associated with the outcome of the COVID19 patients admitted in a tertiary care hospital, Madurai. METHODOLOGY: 4530 lab confirmed COVID19 patients admitted from March to August 31st(,) 2020; excluding the non-responders or who gave incomplete information were included in the study. Data retrieved from Case Investigation Forms *filled through telephonic interview. Chi -square test, Univariate and multivariate logistic regression were used to find out the association between the factors and risk of death(outcome). RESULTS: Out of 4530 COVID19 positive patients 381(8.4%) died and 4149(91.6%) were discharged. Using multivariate logistic regression* following were the factors predicted to be associated with mortality:Age group <17yrs(PR = 4.12),30–44yrs(PR = 2.28),45–59(PR = 3.12),60–69(PR = 4.26) and ≥ 70(PR = 7.05); male gender(PR = 1.26); breathlessness at the time of admission(PR = 7.05); with 1symptom (PR = 2.58), 2symptoms(PR = 3.16) and ≥ 3 symptoms(PR = 2.45); chronic kidney disease(PR = 3.07), malignancy(PR = 2.39); other chronic diseases(PR = 1.89); having only diabetes(PR = 1.58); diabetes with hypertension (PR = 1.70); diabetes with heart disease(PR = 1.94); Hypertension with heart disease(PR = 2.30); diabetes with hypertension and heart disease(PR = 1.58). Survival probability* was more than 90% when patient gets admitted within a week after symptom onset,<80% for between 7 and 10 days and declines thereafter. CONCLUSION: Early insights into factors associated with COVID-19 deaths have been generated in the context of a global health emergency *which may help the treating physician.
format Online
Article
Text
id pubmed-7872844
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Author(s). Published by Elsevier B.V. on behalf of INDIACLEN.
record_format MEDLINE/PubMed
spelling pubmed-78728442021-02-10 “Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study” Priya, S. Selva Meena, M. Sangumani, J. Rathinam, Prabhakaran Brinda Priyadharshini, C. Vijay Anand, V. Clin Epidemiol Glob Health Original Article INTRODUCTION: COVID19* is a new disease with significant mortality risk. Because of the scarcity of the study on factors associated with the mortality in Tamil Nadu present study was done to determine the factors associated with the outcome of the COVID19 patients admitted in a tertiary care hospital, Madurai. METHODOLOGY: 4530 lab confirmed COVID19 patients admitted from March to August 31st(,) 2020; excluding the non-responders or who gave incomplete information were included in the study. Data retrieved from Case Investigation Forms *filled through telephonic interview. Chi -square test, Univariate and multivariate logistic regression were used to find out the association between the factors and risk of death(outcome). RESULTS: Out of 4530 COVID19 positive patients 381(8.4%) died and 4149(91.6%) were discharged. Using multivariate logistic regression* following were the factors predicted to be associated with mortality:Age group <17yrs(PR = 4.12),30–44yrs(PR = 2.28),45–59(PR = 3.12),60–69(PR = 4.26) and ≥ 70(PR = 7.05); male gender(PR = 1.26); breathlessness at the time of admission(PR = 7.05); with 1symptom (PR = 2.58), 2symptoms(PR = 3.16) and ≥ 3 symptoms(PR = 2.45); chronic kidney disease(PR = 3.07), malignancy(PR = 2.39); other chronic diseases(PR = 1.89); having only diabetes(PR = 1.58); diabetes with hypertension (PR = 1.70); diabetes with heart disease(PR = 1.94); Hypertension with heart disease(PR = 2.30); diabetes with hypertension and heart disease(PR = 1.58). Survival probability* was more than 90% when patient gets admitted within a week after symptom onset,<80% for between 7 and 10 days and declines thereafter. CONCLUSION: Early insights into factors associated with COVID-19 deaths have been generated in the context of a global health emergency *which may help the treating physician. The Author(s). Published by Elsevier B.V. on behalf of INDIACLEN. 2021 2021-02-10 /pmc/articles/PMC7872844/ /pubmed/33585725 http://dx.doi.org/10.1016/j.cegh.2021.100705 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Priya, S.
Selva Meena, M.
Sangumani, J.
Rathinam, Prabhakaran
Brinda Priyadharshini, C.
Vijay Anand, V.
“Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”
title “Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”
title_full “Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”
title_fullStr “Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”
title_full_unstemmed “Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”
title_short “Factors influencing the outcome of COVID-19 patients admitted in a tertiary care hospital, Madurai.- a cross-sectional study”
title_sort “factors influencing the outcome of covid-19 patients admitted in a tertiary care hospital, madurai.- a cross-sectional study”
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872844/
https://www.ncbi.nlm.nih.gov/pubmed/33585725
http://dx.doi.org/10.1016/j.cegh.2021.100705
work_keys_str_mv AT priyas factorsinfluencingtheoutcomeofcovid19patientsadmittedinatertiarycarehospitalmaduraiacrosssectionalstudy
AT selvameenam factorsinfluencingtheoutcomeofcovid19patientsadmittedinatertiarycarehospitalmaduraiacrosssectionalstudy
AT sangumanij factorsinfluencingtheoutcomeofcovid19patientsadmittedinatertiarycarehospitalmaduraiacrosssectionalstudy
AT rathinamprabhakaran factorsinfluencingtheoutcomeofcovid19patientsadmittedinatertiarycarehospitalmaduraiacrosssectionalstudy
AT brindapriyadharshinic factorsinfluencingtheoutcomeofcovid19patientsadmittedinatertiarycarehospitalmaduraiacrosssectionalstudy
AT vijayanandv factorsinfluencingtheoutcomeofcovid19patientsadmittedinatertiarycarehospitalmaduraiacrosssectionalstudy