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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.
Alamri, Fahad; Alsofayan, Yousef; AlRuthia, Yazed; Alahmari, Ahmed; Almuzaini, Yasir; Abo Gazalah, Fouad; Alradini, Faten; Alaama, Tareef; Khan, Anas.
  • Alamri F; Global Center for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Alsofayan Y; Global Center for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • AlRuthia Y; Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
  • Alahmari A; Pharmacoeconomics Research Unit, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
  • Almuzaini Y; Global Center for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Abo Gazalah F; Global Center for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Alradini F; General Director of Health Centers Affairs, Ministry of Health, Riyadh, Saudi Arabia.
  • Alaama T; Department of Family Medicine, Faculty of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
  • Khan A; Deputyship of Therapeutic Services, Ministry of Health, Riyadh, Saudi Arabia.
Risk Manag Healthc Policy ; 14: 875-886, 2021.
Article in English | MEDLINE | ID: covidwho-1181247
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Risk Manag Healthc Policy Year: 2021 Document Type: Article Affiliation country: Rmhp.S294786

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Risk Manag Healthc Policy Year: 2021 Document Type: Article Affiliation country: Rmhp.S294786