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  • 1
    In: Journal of the American Geriatrics Society, Wiley, Vol. 69, No. 5 ( 2021-05), p. 1116-1127
    Abstract: Frailty screening using the Clinical Frailty Scale (CFS) has been proposed to guide resource allocation in acute care settings during the pandemic. However, the association between frailty and coronavirus disease 2019 (COVID‐19) prognosis remains unclear. Objectives To investigate the association between frailty and mortality over 6 months in middle‐aged and older patients hospitalized with COVID‐19 and the association between acute morbidity severity and mortality across frailty strata. Design Observational cohort study. Setting Large academic medical center in Brazil. Participants A total of 1830 patients aged ≥50 years hospitalized with COVID‐19 (March–July 2020). Measurements We screened baseline frailty using the CFS (1–9) and classified patients as fit to managing well (1–3), vulnerable (4), mildly (5), moderately (6), or severely frail to terminally ill (7–9). We also computed a frailty index (0–1; frail 〉 0.25), a well‐known frailty measure. We used Cox proportional hazards models to estimate the association between frailty and time to death within 30 days and 6 months of admission. We also examined whether frailty identified different mortality risk levels within strata of similar age and acute morbidity as measured by the Sequential Organ Failure Assessment (SOFA) score. Results Median age was 66 years, 58% were male, and 27% were frail to some degree. Compared with fit‐to‐managing‐well patients, the adjusted hazard ratios (95% confidence interval [CI]) for 30‐day and 6‐month mortality were, respectively, 1.4 (1.1–1.7) and 1.4 (1.1–1.7) for vulnerable patients; 1.5 (1.1–1.9) and 1.5 (1.1–1.8) for mild frailty; 1.8 (1.4–2.3) and 1.9 (1.5–2.4) for moderate frailty; and 2.1 (1.6–2.7) and 2.3 (1.8–2.9) for severe frailty to terminally ill. The CFS achieved outstanding accuracy to identify frailty compared with the Frailty Index (area under the curve = 0.94; 95% CI = 0.93–0.95) and predicted different mortality risks within age and acute morbidity groups. Conclusions Our results encourage the use of frailty, alongside measures of acute morbidity, to guide clinicians in prognostication and resource allocation in hospitalized patients with COVID‐19.
    Type of Medium: Online Resource
    ISSN: 0002-8614 , 1532-5415
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2040494-3
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  • 2
    In: International Journal of Geriatric Psychiatry, Wiley, Vol. 31, No. 1 ( 2016-01), p. 4-12
    Abstract: A screening strategy composed of three‐item temporal orientation and three‐word recall has been increasingly used for detecting cognitive impairment. However, the intervening task administered between presentation and recall has varied. We evaluated six brief tasks that could be useful as intervening distractors and possibly provide incremental accuracy: serial subtraction, clock drawing, category fluency, letter fluency, timed visual detection, and digits backwards. Methods Older adults ( n  = 230) consecutively referred for suspected cognitive impairment underwent a comprehensive assessment for gold‐standard diagnosis, of whom 56 (24%) presented cognitive impairment not dementia and 68 (30%) presented dementia. Among those with dementia, 87% presented very mild or mild stages (Clinical Dementia Rating 0.5 or 1). The incremental value of each candidate intervening task in a model already containing orientation and word recall was assessed. Results Category fluency (animal naming) presented the highest incremental value among the six candidate intervening tasks. Reclassification analyses revealed a net gain of 12% among cognitively impaired and 17% among normal participants. A four‐point scaled score of the animal naming task was added to three‐item temporal orientation and three‐word recall to compose the 10‐point Cognitive Screener. The education‐adjusted 10‐point Cognitive Screener outperformed the longer Mini‐Mental State Examination for detecting both cognitive impairment (area under the curve 0.85 vs 0.77; p  = 0.027) and dementia (area under the curve 0.90 vs 0.83; p  = 0.015). Conclusions Based on empirical data, we have developed a brief and easy‐to‐use screening strategy with higher accuracy and some practical advantages compared with commonly used tools. Copyright © 2015 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 0885-6230 , 1099-1166
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 1500455-7
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