A Simple Questionnaire as a First-Step Tool to Detect Specific Frailty Profiles: The Lorraine Frailty-Profiling Screening Scale

Autor: O. Aromatario, Athanase Benetos, Carlos Labat, Jonathan A. Epstein, Anne Freminet, B. Fantino, Christine Perret-Guillaume, M. Mejri, O. Lantieri, Guy Vançon, Marina Kotsani
Přispěvatelé: Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Caisse régionale de la Sécurité sociale dans les mines de l’Est (CANSSM Metz), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), OHS ASSO, Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), French national PHRC 2010-A01399-30 program - regional CPER-ITM2P 2015-2020 project, IMPACT GEENAGE, ANR-15-IDEX-0004,LUE,Isite LUE(2015), ANR-15-RHUS-0004,FIGHT-HF,Combattre l'insuffisance cardiaque(2015), European Project: 690140,H2020,H2020-PHC-2015-single-stage,FrailSafe(2016), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), ANR-15-IDEX-0004,LUE (ISITE),Lorraine Université d'Excellence(2016)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Rural Population
030309 nutrition & dietetics
Frail Elderly
[SDV]Life Sciences [q-bio]
Population
Psychological intervention
Medicine (miscellaneous)
03 medical and health sciences
0302 clinical medicine
Multiple correspondence analysis
Surveys and Questionnaires
medicine
Outpatient clinic
Profiling (information science)
Humans
Mass Screening
030212 general & internal medicine
Social isolation
education
Geriatric Assessment
Aged
Aged
80 and over
profile
0303 health sciences
education.field_of_study
Nutrition and Dietetics
Frailty
business.industry
screening
[SDV.MHEP.GEG]Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology
tool
16. Peace & justice
Hierarchical clustering
Cross-Sectional Studies
Observational study
Female
Geriatrics and Gerontology
medicine.symptom
business
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Demography
Zdroj: Journal of Nutrition, Health & Aging
Journal of Nutrition, Health & Aging, Springer Verlag (Germany), 2020, 24 (7), pp.730-738. ⟨10.1007/s12603-020-1420-6⟩
Journal of Nutrition, Health and Aging
Journal of Nutrition, Health and Aging, Springer Verlag (Germany), 2020, 24 (7), pp.730-738. ⟨10.1007/s12603-020-1420-6⟩
ISSN: 1279-7707
1760-4788
DOI: 10.1007/s12603-020-1420-6⟩
Popis: International audience; Objectives: To propose a simple frailty screening tool able to identify frailty profiles.Design: Cross-sectional observational study.Setting: Participants were recruited in 3 different clinical settings: a primary care outpatient clinic (RURAL population, N=591), a geriatric day clinic (DAY-CLINIC population, N=76) and healthy volunteers (URBAN population, N=147).Participants: A total of 817 older adults (>70 years old) living at home were included.Intervention: A 9-item questionnaire (Lorraine Frailty Profiling Screening Scale, LoFProSS), constructed by an experts' working group, was administered to participants by health professionals.Measurements: A Multiple Correspondence Analysis (MCA) followed by a hierarchical clustering of the results of the MCA performed in each population was conducted to identify participant profiles based on their answers to LoFProSS. A response pattern algorithm was resultantly identified in the RURAL (main) population and subsequently applied to the URBAN and DAY-CLINIC populations and, in these populations, the two classification methods were compared. Finally, clinically-relevant profiles were generated and compared for their ability to similarly classify subjects.Results: The response pattern differed between the 3 sub-populations for all 9 items, revealing significant intergroup differences (1.2±1.4 positive responses for URBAN vs. 2.1±1.3 for RURAL vs. 3.1±2.1 for DAY-CLINIC, all p
Databáze: OpenAIRE
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