Implications of frailty screening in clinical practice. Issue 1 (January 2017)

• Record Type: Journal Article
• Authors: Satake, Shosuke; Arai, Hidenori
• Is Part Of: Current opinion in clinical nutrition and metabolic care. Volume 20:Issue 1(2017:Jan.)
• Page Start: 4
• Page End: 10
• Publication Date: 2017-01
• Subjects: deficit model -- frail elderly -- geriatric assessment -- phenotype model; Diet therapy -- Periodicals; Metabolism -- Periodicals; Nutrition -- Periodicals; Nutrition disorders -- Periodicals; Clinical medicine -- Periodicals; Clinical Medicine -- Periodicals; Metabolism -- Periodicals; Nutrition -- Periodicals; Nutrition Disorders -- Periodicals; Nutritional Support -- Periodicals; 613.2
• DOI: 10.1097/MCO.0000000000000341
• Languages: English
• ISSNs: 1363-1950

Abstract

Abstract : Purpose of review: Many frailty screening instruments have been proposed due to the lack of consensus on a unified operational definition of frailty. This review reports on recent frailty screening tools in addition to revisiting the frailty concept. Recent findings: Although there are two representative frailty models, both have issues that prevent them from being implemented in clinical settings despite their remarkable advantages. Due to their different characteristics, these models are thought to be complementary rather than substitutive. The recent introduction of frailty identification into primary care and specific clinical settings has led to both a focus on its importance and the development of new screening methods. Summary: The phenotype model is rather faithfully based on biological change with aging, while the deficit model comprehensively captures risk of disability. Most of the current frailty screening tools are based on these models. Screening tools based on the former model primarily capture declines in physical functions, whereas screening tools based on the latter model involve questionnaires that examine functional impairments in multiple domains. Implementation of a model in a clinical setting depends on both the model characteristics and the clinical settings.