Title |
Frailty modifications and prognostic impact in older patients admitted in acute care
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Published in |
Aging Clinical and Experimental Research, June 2018
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DOI | 10.1007/s40520-018-0989-7 |
Pubmed ID | |
Authors |
Giorgio Basile, Antonino Catalano, Giuseppe Mandraffino, Giuseppe Maltese, Angela Alibrandi, Giuliana Ciancio, Daniela Brischetto, Nunziata Morabito, Antonino Lasco, Matteo Cesari |
Abstract |
Frailty is a predictor of adverse outcomes in older subjects. The aims of this study are to (1) measure the frailty status and its changes occurring during the hospital stay, (2) determine the relationships among frailty and adverse outcomes. Frailty was assessed using a 46-item Frailty Index (FI) in 156 patients admitted to an Acute Geriatric Medicine Unit. The FI was calculated within 24 h from the hospital admission (aFI) and at his/her discharge (dFI). Patients were followed up to 12 months after the hospital discharge. A statistically significant difference was reported between the aFI (0.31, IQR 0.19-0.44) and the dFI (0.29, IQR 0.19-0.40; p = 0.04). The aFI was directly associated with the risk of in-hospital death (OR = 5.9; 95% CI 2.0-17.5; p = 0.001), 1 year mortality (OR = 5.5, 95% CI 2.4-12.7, p < 0.001) and re-hospitalization (OR = 6.3, 95% CI 2.2-17.9, p = 0.03). Frailty is a strong predictor of negative endpoints in hospitalized older persons. Frailty assessment from routinely collected clinical data may provide important insights about the biological status of the individual and promote the personalization of care. |
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Country | Count | As % |
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United Kingdom | 2 | 29% |
Spain | 1 | 14% |
France | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 43% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 10 | 26% |
Researcher | 5 | 13% |
Student > Doctoral Student | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Student > Bachelor | 1 | 3% |
Other | 5 | 13% |
Unknown | 12 | 31% |
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Medicine and Dentistry | 12 | 31% |
Nursing and Health Professions | 7 | 18% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Computer Science | 1 | 3% |
Sports and Recreations | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 38% |