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Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region
BACKGROUND: The prevalence and outcome of coronavirus disease 2019 (COVID-19) in rural areas is unknown. METHODS: This is a multi-center retrospective cohort study of hospitalized patients diagnosed with COVID-19 from April 5, 2020 to December 31, 2020. The data were extracted from 13 facilities in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893147/ https://www.ncbi.nlm.nih.gov/pubmed/35250298 http://dx.doi.org/10.2147/IJGM.S355083 |
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author | Bhopalwala, Huzefa Dewaswala, Nakeya Kolagatla, Sandhya Wisnieski, Lauren Piercy, Jonathan Bhopalwala, Adnan Moka, Nagabhishek |
author_facet | Bhopalwala, Huzefa Dewaswala, Nakeya Kolagatla, Sandhya Wisnieski, Lauren Piercy, Jonathan Bhopalwala, Adnan Moka, Nagabhishek |
author_sort | Bhopalwala, Huzefa |
collection | PubMed |
description | BACKGROUND: The prevalence and outcome of coronavirus disease 2019 (COVID-19) in rural areas is unknown. METHODS: This is a multi-center retrospective cohort study of hospitalized patients diagnosed with COVID-19 from April 5, 2020 to December 31, 2020. The data were extracted from 13 facilities in the Appalachian Regional Healthcare system that share the same electronic health record using ICD-10-CM codes. RESULTS: The number of patients diagnosed with COVID-19 per facility ranged from 5 to 535 with a median of 106 patients. Total mortality was 11.4% and ranged from 0% to 22.6% by facility (median: 9.0%). Non-survivors had a greater prevalence of congestive heart failure (CHF), hypertension, type 2 diabetes mellitus, stroke, transient ischemic attack (TIA), and pulmonary embolism. Patients who died were also more likely to have had chronic obstructive pulmonary disease (COPD), acute respiratory failure (ARF), liver cirrhosis, chronic kidney disease (CKD), dementia, cancer, anemia, and opiate dependence. CONCLUSION: The aging population, multiple co-morbidities, and health-related behaviors make rural patients vulnerable to COVID-19. A better understanding of the disease in rural areas is crucial, given its heightened vulnerability to adverse outcomes. |
format | Online Article Text |
id | pubmed-8893147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-88931472022-03-04 Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region Bhopalwala, Huzefa Dewaswala, Nakeya Kolagatla, Sandhya Wisnieski, Lauren Piercy, Jonathan Bhopalwala, Adnan Moka, Nagabhishek Int J Gen Med Original Research BACKGROUND: The prevalence and outcome of coronavirus disease 2019 (COVID-19) in rural areas is unknown. METHODS: This is a multi-center retrospective cohort study of hospitalized patients diagnosed with COVID-19 from April 5, 2020 to December 31, 2020. The data were extracted from 13 facilities in the Appalachian Regional Healthcare system that share the same electronic health record using ICD-10-CM codes. RESULTS: The number of patients diagnosed with COVID-19 per facility ranged from 5 to 535 with a median of 106 patients. Total mortality was 11.4% and ranged from 0% to 22.6% by facility (median: 9.0%). Non-survivors had a greater prevalence of congestive heart failure (CHF), hypertension, type 2 diabetes mellitus, stroke, transient ischemic attack (TIA), and pulmonary embolism. Patients who died were also more likely to have had chronic obstructive pulmonary disease (COPD), acute respiratory failure (ARF), liver cirrhosis, chronic kidney disease (CKD), dementia, cancer, anemia, and opiate dependence. CONCLUSION: The aging population, multiple co-morbidities, and health-related behaviors make rural patients vulnerable to COVID-19. A better understanding of the disease in rural areas is crucial, given its heightened vulnerability to adverse outcomes. Dove 2022-02-27 /pmc/articles/PMC8893147/ /pubmed/35250298 http://dx.doi.org/10.2147/IJGM.S355083 Text en © 2022 Bhopalwala et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Bhopalwala, Huzefa Dewaswala, Nakeya Kolagatla, Sandhya Wisnieski, Lauren Piercy, Jonathan Bhopalwala, Adnan Moka, Nagabhishek Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region |
title | Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region |
title_full | Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region |
title_fullStr | Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region |
title_full_unstemmed | Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region |
title_short | Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region |
title_sort | predictors of mortality for patients with covid-19 in the rural appalachian region |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893147/ https://www.ncbi.nlm.nih.gov/pubmed/35250298 http://dx.doi.org/10.2147/IJGM.S355083 |
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