Exploring the correlates of frailty among hospitalized older adults: A cross-sectional study in a Saudi teaching hospital

• Published in: Medicine (Baltimore) 2024-06, Vol.103 (25), p.e38603
• Main Authors: Alamri, Sultan H, Mealif, Hetaf M
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Comorbidity; Cross-Sectional Studies; Female; Frail Elderly - statistics & numerical data; Frailty - epidemiology; Geriatric Assessment; Hospital Mortality; Hospitalization - statistics & numerical data; Hospitals, Teaching - statistics & numerical data; Humans; Length of Stay - statistics & numerical data; Male; Observational Study; Polypharmacy; Prevalence; Risk Factors; Saudi Arabia - epidemiology
• ISSN: 0025-7974; 1536-5964; 1536-5964
• DOI: 10.1097/MD.0000000000038603

Frailty is an important public health concern associated with aging. It increases the risk of adverse clinical outcomes, such as falls, late-life dependency, hospitalization, disability, and mortality. The objectives of this study were to estimate the prevalence of frailty and to identify factors associated with frailty among older adults (≥65 years) admitted to King Abdulaziz University Hospital, Jeddah, Saudi Arabia. This cross-sectional study was conducted at King Abdulaziz University Hospital. The data were collected during the months of January and February 2022 and included demographic characteristics, comorbidities, length of stay, and hospital mortality. Frailty status of participants was assessed using the Clinical Frailty Scale. A total of 147 patients (aged ≥ 65 years) were included in our study. The prevalence rates of frailty and non-frailty were 71.4% and 28.6%, respectively. Frail patients had higher comorbidity index (P = .003), polypharmacy (P = .003), heart failure (P = .001), and prolonged hospital stays (P = .007). The results of the multiple logistic regression revealed that the tall patients had a lower risk of frailty (odds ratio = 0.0089, 95% confidence interval: 0.0001-0.7588, P = .042) and patients with higher comorbidity indexes had higher risk of frailty (odds ratio = 1.4907, 95% confidence interval: 1.1449-1.9927, P = .004). In this study, more than two-thirds of the hospitalized older patients were classified as frail. High comorbidity index, heart failure, and polypharmacy were strong predictors of frailty. Patients with frailty were more likely to have a prolonged hospital stay than those without frailty. Therefore, early detection of frailty and proper intervention are essential for improving health outcomes in this vulnerable population.