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Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study
BACKGROUND: Early identification of patients with poor prognosis may facilitate the provision of proper supportive treatment in advance and reduce mortality due to Coronavirus Disease 2019 (COVID-19). The present study estimates the recovery and mortality rates among in-house COVID-19 patients admit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730952/ https://www.ncbi.nlm.nih.gov/pubmed/36505546 http://dx.doi.org/10.4103/jfmpc.jfmpc_997_22 |
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author | Keisam, Avinash Kulabidhu, Heisnam Singh, Takhellambam B. Devi, Laishram B. Akham, Ngamba |
author_facet | Keisam, Avinash Kulabidhu, Heisnam Singh, Takhellambam B. Devi, Laishram B. Akham, Ngamba |
author_sort | Keisam, Avinash |
collection | PubMed |
description | BACKGROUND: Early identification of patients with poor prognosis may facilitate the provision of proper supportive treatment in advance and reduce mortality due to Coronavirus Disease 2019 (COVID-19). The present study estimates the recovery and mortality rates among in-house COVID-19 patients admitted to a tertiary care center and also determines any association between mortality and variables of interest. METHODS AND MATERIAL: This cross-sectional study was conducted in June to December 2021 among the COVID-19 patients admitted to the hospital based on their case sheets. A sample size of 1500 was calculated which was obtained by simple random sampling. Descriptive statistics were generated. Association between mortality and other variables was tested by using bivariate logistic regression and multiple logistic regression analysis. RESULTS: The overall recovery rate was 80.1%. Vaccination status was significantly associated with mortality, with the AOR (95% CI) of getting both vaccine doses and a single dose being 0.18 (0.05-0.70) and 0.28 (0.15-0.55), respectively, when compared to the unvaccinated group. Also, patients who sought admission on their own were found to be having more chances of recovery compared to those who were referred from other health facilities. The risk of dying was found to be increased nearly 5-fold among those who used Non-Rebreathing machines. The use of Non-Invasive ventilation and Bain Circuit was significantly associated with a bad prognosis. None on the mechanical ventilation survived. CONCLUSIONS: The mortality rate of COVID-19 patients admitted to the tertiary care hospital was found to be one-fifth and the ICU-specific mortality rate was 83.6% while other factors like age and gender were not found to be associated with mortality. Among comorbidities, only liver diseases were found to be a significant determinant of mortality. Finally, patients who needed more flow rate of oxygen had a significant association with mortality. |
format | Online Article Text |
id | pubmed-9730952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-97309522022-12-09 Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study Keisam, Avinash Kulabidhu, Heisnam Singh, Takhellambam B. Devi, Laishram B. Akham, Ngamba J Family Med Prim Care Original Article BACKGROUND: Early identification of patients with poor prognosis may facilitate the provision of proper supportive treatment in advance and reduce mortality due to Coronavirus Disease 2019 (COVID-19). The present study estimates the recovery and mortality rates among in-house COVID-19 patients admitted to a tertiary care center and also determines any association between mortality and variables of interest. METHODS AND MATERIAL: This cross-sectional study was conducted in June to December 2021 among the COVID-19 patients admitted to the hospital based on their case sheets. A sample size of 1500 was calculated which was obtained by simple random sampling. Descriptive statistics were generated. Association between mortality and other variables was tested by using bivariate logistic regression and multiple logistic regression analysis. RESULTS: The overall recovery rate was 80.1%. Vaccination status was significantly associated with mortality, with the AOR (95% CI) of getting both vaccine doses and a single dose being 0.18 (0.05-0.70) and 0.28 (0.15-0.55), respectively, when compared to the unvaccinated group. Also, patients who sought admission on their own were found to be having more chances of recovery compared to those who were referred from other health facilities. The risk of dying was found to be increased nearly 5-fold among those who used Non-Rebreathing machines. The use of Non-Invasive ventilation and Bain Circuit was significantly associated with a bad prognosis. None on the mechanical ventilation survived. CONCLUSIONS: The mortality rate of COVID-19 patients admitted to the tertiary care hospital was found to be one-fifth and the ICU-specific mortality rate was 83.6% while other factors like age and gender were not found to be associated with mortality. Among comorbidities, only liver diseases were found to be a significant determinant of mortality. Finally, patients who needed more flow rate of oxygen had a significant association with mortality. Wolters Kluwer - Medknow 2022-09 2022-10-14 /pmc/articles/PMC9730952/ /pubmed/36505546 http://dx.doi.org/10.4103/jfmpc.jfmpc_997_22 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Keisam, Avinash Kulabidhu, Heisnam Singh, Takhellambam B. Devi, Laishram B. Akham, Ngamba Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study |
title | Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study |
title_full | Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study |
title_fullStr | Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study |
title_full_unstemmed | Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study |
title_short | Morbidity and mortality pattern of COVID-19 patients and its associated risk factors: A cross-sectional study |
title_sort | morbidity and mortality pattern of covid-19 patients and its associated risk factors: a cross-sectional study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730952/ https://www.ncbi.nlm.nih.gov/pubmed/36505546 http://dx.doi.org/10.4103/jfmpc.jfmpc_997_22 |
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