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Role of Frailty in Prediction of Hospitalized Older Adult Patient’S Outcomes: A Prospective Study Publisher Pubmed



Chehrehgosha M1, 2 ; Fadaye Vatan R1 ; Alizadehkhoei M3 ; Sharifi F4 ; Aminalroaya R5 ; Vahabi Z5, 6 ; Zendedel A5 ; Hekmat H7
Authors
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Authors Affiliations
  1. 1. Department of Gerontology, Faculty of Gerontology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
  2. 2. Department of Surgical Technology, Faculty of Paramedical Sciences, Golestan University of Medical Sciences, Gorgan, Iran
  3. 3. Department of Clinical Gerontology & Geriatric, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Elderly Health Research, Faculty of Endocrinology and Metabolism Population Sciences, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Geriatric Ziaeian Hospital, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Memory and Behavioral, Neurology Roozbeh Hospital, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Cardiology Ziaeian Hospital, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Turkish Journal of Medical Sciences Published:2021


Abstract

Background/aim: Frailty is associated with an increased risk of negative short-term and long-term hospital outcomes. This study aimto evaluate the role of frailty in predicting readmission, length of stay, and quality of life in the hospitalized older adults. Materials and methods: This observational study was conducted at Ziaiyan Hospital, Tehran, Iran. In total, 304 participants (65–85 years), were enrolled through the inclusion criteria from August to December 2019. The frailty index (FI) was assessed by the minimum data set-home care. Readmission was obtained through telephone interviews. The length of stay was gathered by the patient’s hospital records, and the EuroQol questionnaire was used for assessing the quality of life. Data were collected by a researcher nurse at the admission time, 30, 60, and 90 days after discharge. The logistic regression model and repeated measures ANOVA were employed to analyze the association between frailty and outcomes. Results: According to FI, 102 (33.55%) participants were pre-frail, whereas 35 (11.51%) were frail. In the fully-adjusted model for readmission, the pre-frail participants had a higher risk of readmission at the hospital in comparison with the nonfrail and frail groups (OR = 1.88, 95% CI = 1.90–3.26), and also for GP visits, frail patients showed nearly significant differences (OR = 2.45, 95% CI = 0.99–6.06) but there were no differences between frail and pre-frail patients in readmissions in the emergency ward. In a fully-adjusted prolonged stay model, pre-frail patients had a higher probability to stay longer in hospital (OR = 2.28, 95% CI: 1.24–4.18). The fully-adjusted model for QoL showed, frail patients were more prone to the declined levels of QoL in comparison with pre-frail patients (OR = 10.77, 95% CI: 3.97–29.18). Conclusions: The findings indicated that frailty worsened negative outcomes and declined QoL. Early diagnosis in hospital settincould be beneficial for designing optimal care plans for the frail and pre-frail patients. © TUBITAK.