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Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis
BACKGROUND: Uttarakhand, a hilly state in north India, reported the first coronavirus disease (COVID) case on 15 March 2020. Since then, the case numbers rose multiple folds. As Uttarakhand has been on a ‘war-footing’ amidst the recent second wave and is gearing up to fight against the third wave, t...
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/PMC9480643/ https://www.ncbi.nlm.nih.gov/pubmed/36119348 http://dx.doi.org/10.4103/jfmpc.jfmpc_1900_21 |
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author | Semwal, Jayanti Sharma, Neha Mishra, Surabhi Uniyal, Akanksha Khanduri, Rakhee Kotwal, Aarti Das, Sanjoy Jethani, Sunder L. |
author_facet | Semwal, Jayanti Sharma, Neha Mishra, Surabhi Uniyal, Akanksha Khanduri, Rakhee Kotwal, Aarti Das, Sanjoy Jethani, Sunder L. |
author_sort | Semwal, Jayanti |
collection | PubMed |
description | BACKGROUND: Uttarakhand, a hilly state in north India, reported the first coronavirus disease (COVID) case on 15 March 2020. Since then, the case numbers rose multiple folds. As Uttarakhand has been on a ‘war-footing’ amidst the recent second wave and is gearing up to fight against the third wave, the present study aims to uncover baseline clinical profile and in-hospital outcomes of COVID patients in Dehradun district (Uttarakhand) during the first wave. METHODS: A record-based descriptive analysis was carried out for 671 COVID patients admitted to a private dedicated COVID hospital in Dehradun district between August 2020 and February 2021. Data was collected from medical records on a standardized abstraction form. Data was entered and analyzed using Statistical Package for Social Sciences (SPSS) version 20. RESULTS: The present study showed most admitted COVID patients were males, aged 40 years and above, moderately ill, had co-morbidities with about one-fourth lately succumbed to death. The proportions of deaths, moderate-to-severe and severe category of illness were invariably high for those with co-morbidities irrespective of the gender. Females, age <60 years, and absence of co-morbidities had overall high mean survival estimates from COVID. CONCLUSION: Females, younger age group, and absence of co-morbidities are more likely to survive from COVID than males, older age groups, and those with co-morbidities. |
format | Online Article Text |
id | pubmed-9480643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-94806432022-09-17 Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis Semwal, Jayanti Sharma, Neha Mishra, Surabhi Uniyal, Akanksha Khanduri, Rakhee Kotwal, Aarti Das, Sanjoy Jethani, Sunder L. J Family Med Prim Care Original Article BACKGROUND: Uttarakhand, a hilly state in north India, reported the first coronavirus disease (COVID) case on 15 March 2020. Since then, the case numbers rose multiple folds. As Uttarakhand has been on a ‘war-footing’ amidst the recent second wave and is gearing up to fight against the third wave, the present study aims to uncover baseline clinical profile and in-hospital outcomes of COVID patients in Dehradun district (Uttarakhand) during the first wave. METHODS: A record-based descriptive analysis was carried out for 671 COVID patients admitted to a private dedicated COVID hospital in Dehradun district between August 2020 and February 2021. Data was collected from medical records on a standardized abstraction form. Data was entered and analyzed using Statistical Package for Social Sciences (SPSS) version 20. RESULTS: The present study showed most admitted COVID patients were males, aged 40 years and above, moderately ill, had co-morbidities with about one-fourth lately succumbed to death. The proportions of deaths, moderate-to-severe and severe category of illness were invariably high for those with co-morbidities irrespective of the gender. Females, age <60 years, and absence of co-morbidities had overall high mean survival estimates from COVID. CONCLUSION: Females, younger age group, and absence of co-morbidities are more likely to survive from COVID than males, older age groups, and those with co-morbidities. Wolters Kluwer - Medknow 2022-06 2022-06-30 /pmc/articles/PMC9480643/ /pubmed/36119348 http://dx.doi.org/10.4103/jfmpc.jfmpc_1900_21 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 Semwal, Jayanti Sharma, Neha Mishra, Surabhi Uniyal, Akanksha Khanduri, Rakhee Kotwal, Aarti Das, Sanjoy Jethani, Sunder L. Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis |
title | Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis |
title_full | Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis |
title_fullStr | Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis |
title_full_unstemmed | Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis |
title_short | Clinical profile and in-hospital outcomes of COVID-19 patients: Findings from secondary data analysis |
title_sort | clinical profile and in-hospital outcomes of covid-19 patients: findings from secondary data analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480643/ https://www.ncbi.nlm.nih.gov/pubmed/36119348 http://dx.doi.org/10.4103/jfmpc.jfmpc_1900_21 |
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