Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Alamri, Fahad, Alsofayan, Yousef, AlRuthia, Yazed, Alahmari, Ahmed, Almuzaini, Yasir, Abo Gazalah, Fouad, Alradini, Faten, Alaama, Tareef, Khan, Anas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
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
_version_ 1783661556767129600
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
work_keys_str_mv AT alamrifahad predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT alsofayanyousef predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT alruthiayazed predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT alahmariahmed predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT almuzainiyasir predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT abogazalahfouad predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT alradinifaten predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT alaamatareef predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample
AT khananas predictorsofhospitalizationamongolderadultswithcovid19insaudiarabiaacrosssectionalstudyofanationallyrepresentativesample