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Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample
BACKGROUND: The aim of this study was to identify the predictors of hospitalization in older (≥60 years) patients with coronavirus disease-19 (COVID-19) in Saudi Arabia. METHODS: Patients were randomly selected from a COVID-19 database maintained by the Ministry of Health, Saudi Arabia. All patients...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938228/ https://www.ncbi.nlm.nih.gov/pubmed/33692640 http://dx.doi.org/10.2147/RMHP.S294786 |
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author | Alamri, Fahad Alsofayan, Yousef AlRuthia, Yazed Alahmari, Ahmed Almuzaini, Yasir Abo Gazalah, Fouad Alradini, Faten Alaama, Tareef Khan, Anas |
author_facet | Alamri, Fahad Alsofayan, Yousef AlRuthia, Yazed Alahmari, Ahmed Almuzaini, Yasir Abo Gazalah, Fouad Alradini, Faten Alaama, Tareef Khan, Anas |
author_sort | Alamri, Fahad |
collection | PubMed |
description | BACKGROUND: The aim of this study was to identify the predictors of hospitalization in older (≥60 years) patients with coronavirus disease-19 (COVID-19) in Saudi Arabia. METHODS: Patients were randomly selected from a COVID-19 database maintained by the Ministry of Health, Saudi Arabia. All patients were aged ≥60 years, had reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19, and were registered in the database during March 2020 to July 2020. Medical and sociodemographic characteristics were retrieved from the database. Additional data were collected by telephone interviews conducted by trained health professionals. Descriptive statistics and multiple logistic regression analyses were used to analyze the relationship between patient characteristics and the risk of hospitalization. RESULTS: Of the 613 included patients (51.1% females), more than half (57.3%) were between 60 to 69 years of age, and 53% (324/613) had been hospitalized. The independent predictors of hospitalization included age ≥65 years (OR = 2.35, 95% CI: 1.66–3.33, P < 0.001), having more than one comorbidity (OR = 1.55, 95% CI: 1.09–2.20, P = 0.01), diabetes mellitus (OR = 1.52, 95% CI: 1.09–2.11, P = 0.01), hypertension (OR = 1.40, 95% CI: 1.007–1.97, P = 0.04), chronic kidney disease (OR = 3.87, 95% CI: 1.41–10.58, P = 0.008), and history of hospital admission within the preceding year (OR = 1.69, 95% CI: 1.11–2.55, P = 0.013). Risk of hospitalization was lower in males (OR = 0.65, 95% CI: 0.43–0.90, P = 0.01) and in patients co-living with health care workers (OR = 0.64, 95% CI: 0.43–0.96, P = 0.03). CONCLUSION: Factors associated with higher risk of COVID-19-associated hospitalization should be used in prioritizing older adults’ admission. Future studies with more robust designs should be conducted to examine the risk of COVID-19-associated illness severity and mortality. |
format | Online Article Text |
id | pubmed-7938228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-79382282021-03-09 Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample Alamri, Fahad Alsofayan, Yousef AlRuthia, Yazed Alahmari, Ahmed Almuzaini, Yasir Abo Gazalah, Fouad Alradini, Faten Alaama, Tareef Khan, Anas Risk Manag Healthc Policy Original Research BACKGROUND: The aim of this study was to identify the predictors of hospitalization in older (≥60 years) patients with coronavirus disease-19 (COVID-19) in Saudi Arabia. METHODS: Patients were randomly selected from a COVID-19 database maintained by the Ministry of Health, Saudi Arabia. All patients were aged ≥60 years, had reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19, and were registered in the database during March 2020 to July 2020. Medical and sociodemographic characteristics were retrieved from the database. Additional data were collected by telephone interviews conducted by trained health professionals. Descriptive statistics and multiple logistic regression analyses were used to analyze the relationship between patient characteristics and the risk of hospitalization. RESULTS: Of the 613 included patients (51.1% females), more than half (57.3%) were between 60 to 69 years of age, and 53% (324/613) had been hospitalized. The independent predictors of hospitalization included age ≥65 years (OR = 2.35, 95% CI: 1.66–3.33, P < 0.001), having more than one comorbidity (OR = 1.55, 95% CI: 1.09–2.20, P = 0.01), diabetes mellitus (OR = 1.52, 95% CI: 1.09–2.11, P = 0.01), hypertension (OR = 1.40, 95% CI: 1.007–1.97, P = 0.04), chronic kidney disease (OR = 3.87, 95% CI: 1.41–10.58, P = 0.008), and history of hospital admission within the preceding year (OR = 1.69, 95% CI: 1.11–2.55, P = 0.013). Risk of hospitalization was lower in males (OR = 0.65, 95% CI: 0.43–0.90, P = 0.01) and in patients co-living with health care workers (OR = 0.64, 95% CI: 0.43–0.96, P = 0.03). CONCLUSION: Factors associated with higher risk of COVID-19-associated hospitalization should be used in prioritizing older adults’ admission. Future studies with more robust designs should be conducted to examine the risk of COVID-19-associated illness severity and mortality. Dove 2021-03-03 /pmc/articles/PMC7938228/ /pubmed/33692640 http://dx.doi.org/10.2147/RMHP.S294786 Text en © 2021 Alamri et al. http://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/). 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 Alamri, Fahad Alsofayan, Yousef AlRuthia, Yazed Alahmari, Ahmed Almuzaini, Yasir Abo Gazalah, Fouad Alradini, Faten Alaama, Tareef Khan, Anas Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample |
title | Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample |
title_full | Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample |
title_fullStr | Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample |
title_full_unstemmed | Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample |
title_short | Predictors of Hospitalization Among Older Adults with COVID-19 in Saudi Arabia: A Cross-Sectional Study of a Nationally Representative Sample |
title_sort | predictors of hospitalization among older adults with covid-19 in saudi arabia: a cross-sectional study of a nationally representative sample |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938228/ https://www.ncbi.nlm.nih.gov/pubmed/33692640 http://dx.doi.org/10.2147/RMHP.S294786 |
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