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Risk factors for hospitalization among persons with COVID-19—Colorado
BACKGROUND: Most current evidence on risk factors for hospitalization because of coronavirus disease 2019 (COVID-19) comes from studies using data abstracted primarily from electronic health records, limited to specific populations, or that fail to capture over-the-counter medications and adjust for...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412293/ https://www.ncbi.nlm.nih.gov/pubmed/34473791 http://dx.doi.org/10.1371/journal.pone.0256917 |
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author | Vahey, Grace M. McDonald, Emily Marshall, Kristen Martin, Stacey W. Chun, Helen Herlihy, Rachel Tate, Jacqueline E. Kawasaki, Breanna Midgley, Claire M. Alden, Nisha Killerby, Marie E. Staples, J. Erin |
author_facet | Vahey, Grace M. McDonald, Emily Marshall, Kristen Martin, Stacey W. Chun, Helen Herlihy, Rachel Tate, Jacqueline E. Kawasaki, Breanna Midgley, Claire M. Alden, Nisha Killerby, Marie E. Staples, J. Erin |
author_sort | Vahey, Grace M. |
collection | PubMed |
description | BACKGROUND: Most current evidence on risk factors for hospitalization because of coronavirus disease 2019 (COVID-19) comes from studies using data abstracted primarily from electronic health records, limited to specific populations, or that fail to capture over-the-counter medications and adjust for potential confounding factors. Properly understanding risk factors for hospitalization will help improve clinical management and facilitate targeted prevention messaging and forecasting and prioritization of clinical and public health resource needs. OBJECTIVES: To identify risk factors for hospitalization using patient questionnaires and chart abstraction. METHODS: We randomly selected 600 of 1,738 laboratory-confirmed Colorado COVID-19 cases with known hospitalization status and illness onset during March 9–31, 2020. In April 2020, we collected demographics, social history, and medications taken in the 30 days before illness onset via telephone questionnaire and collected underlying medical conditions in patient questionnaires and medical record abstraction. RESULTS: Overall, 364 patients participated; 128 were hospitalized and 236 were non-hospitalized. In multivariable analysis, chronic hypoxemic respiratory failure with oxygen requirement (adjusted odds ratio [aOR] 14.64; 95% confidence interval [CI] 1.45–147.93), taking opioids (aOR 8.05; CI 1.16–55.77), metabolic syndrome (aOR 5.71; CI 1.18–27.54), obesity (aOR 3.35; CI 1.58–7.09), age ≥65 years (aOR 3.22; CI 1.20–7.97), hypertension (aOR 3.14; CI 1.47–6.71), arrhythmia (aOR 2.95; CI 1.00–8.68), and male sex (aOR 2.65; CI 1.44–4.88), were significantly associated with hospitalization. CONCLUSION: We identified patient characteristics, medications, and medical conditions, including some novel ones, associated with hospitalization. These data can be used to inform clinical and public health resource needs. |
format | Online Article Text |
id | pubmed-8412293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84122932021-09-03 Risk factors for hospitalization among persons with COVID-19—Colorado Vahey, Grace M. McDonald, Emily Marshall, Kristen Martin, Stacey W. Chun, Helen Herlihy, Rachel Tate, Jacqueline E. Kawasaki, Breanna Midgley, Claire M. Alden, Nisha Killerby, Marie E. Staples, J. Erin PLoS One Research Article BACKGROUND: Most current evidence on risk factors for hospitalization because of coronavirus disease 2019 (COVID-19) comes from studies using data abstracted primarily from electronic health records, limited to specific populations, or that fail to capture over-the-counter medications and adjust for potential confounding factors. Properly understanding risk factors for hospitalization will help improve clinical management and facilitate targeted prevention messaging and forecasting and prioritization of clinical and public health resource needs. OBJECTIVES: To identify risk factors for hospitalization using patient questionnaires and chart abstraction. METHODS: We randomly selected 600 of 1,738 laboratory-confirmed Colorado COVID-19 cases with known hospitalization status and illness onset during March 9–31, 2020. In April 2020, we collected demographics, social history, and medications taken in the 30 days before illness onset via telephone questionnaire and collected underlying medical conditions in patient questionnaires and medical record abstraction. RESULTS: Overall, 364 patients participated; 128 were hospitalized and 236 were non-hospitalized. In multivariable analysis, chronic hypoxemic respiratory failure with oxygen requirement (adjusted odds ratio [aOR] 14.64; 95% confidence interval [CI] 1.45–147.93), taking opioids (aOR 8.05; CI 1.16–55.77), metabolic syndrome (aOR 5.71; CI 1.18–27.54), obesity (aOR 3.35; CI 1.58–7.09), age ≥65 years (aOR 3.22; CI 1.20–7.97), hypertension (aOR 3.14; CI 1.47–6.71), arrhythmia (aOR 2.95; CI 1.00–8.68), and male sex (aOR 2.65; CI 1.44–4.88), were significantly associated with hospitalization. CONCLUSION: We identified patient characteristics, medications, and medical conditions, including some novel ones, associated with hospitalization. These data can be used to inform clinical and public health resource needs. Public Library of Science 2021-09-02 /pmc/articles/PMC8412293/ /pubmed/34473791 http://dx.doi.org/10.1371/journal.pone.0256917 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Vahey, Grace M. McDonald, Emily Marshall, Kristen Martin, Stacey W. Chun, Helen Herlihy, Rachel Tate, Jacqueline E. Kawasaki, Breanna Midgley, Claire M. Alden, Nisha Killerby, Marie E. Staples, J. Erin Risk factors for hospitalization among persons with COVID-19—Colorado |
title | Risk factors for hospitalization among persons with COVID-19—Colorado |
title_full | Risk factors for hospitalization among persons with COVID-19—Colorado |
title_fullStr | Risk factors for hospitalization among persons with COVID-19—Colorado |
title_full_unstemmed | Risk factors for hospitalization among persons with COVID-19—Colorado |
title_short | Risk factors for hospitalization among persons with COVID-19—Colorado |
title_sort | risk factors for hospitalization among persons with covid-19—colorado |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412293/ https://www.ncbi.nlm.nih.gov/pubmed/34473791 http://dx.doi.org/10.1371/journal.pone.0256917 |
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