Frailty Screening in the Community Using the FRAIL Scale.

To explore the feasibility of using the FRAIL scale in community screening of older Chinese people aged 65 years and older, followed by clinical validation by comprehensive geriatric assessment of those classified as pre-frail or frail. Two-phase study: screening of people aged 65 years and older by trained volunteers, followed by comprehensive geriatric assessment by multidisciplinary staff for those classified as pre-frail or frail. Elderly Centers in the New Territories East Region of Hong Kong SAR China. A total of 816 members of elderly centers attending by themselves or accompanied by relatives. For phase 1, questionnaire (including demographic, lifestyle, chronic diseases) and screening tools were administered by trained volunteers. These consist of the FRAIL scale, SARC-F to screen for sarcopenia, and mild cognitive impairment using the abbreviated screening for mild cognitive impairment (Abbreviated Memory Inventory for the Chinese). Blood pressure, body mass index, and grip strength were recorded. For phase 2, comprehensive geriatric assessment include questionnaires assessing lifestyle domain (physical activity, nutritional status using the Mini-Nutritional Assessment-Short Form), the physical domain (number of diseases and number of drugs, activities of daily living and instrumental activities of daily living disabilities, geriatric syndromes, self-rated health, sleep quality), cognitive and psychological domain (Mini-Mental State Examination, Geriatric Depression Scale), and social domain (income, housing, living satisfaction, family support). The prevalence of pre-frailty and frailty were 52.4% and 12.5%, respectively. The prevalence for frailty increasing with age from 5.1% for those aged 65-69 years to 16.8% for those ≥75, being greater in women compared with men (13.9% vs 4.2%). Of those who were pre-frail or frail (n = 529), 42.5% had sarcopenia and 60.7% had mild cognitive impairment. Among those who were frail (n = 102), sarcopenia and mild cognitive impairment were also frequently present: 12.8% had sarcopenia, 14.7% had mild cognitive impairment, 63.7% had both sarcopenia and mild cognitive impairment, and only 8.8% had neither. In phase 2, participants who were classified as pre-frail or frail (n = 529) were invited for further interviews; 255 participants (48.2%) returned. Compared with the pre-frail group, those in the frail group were less physically active, had higher number of chronic diseases, were taking more medications (more were taking sleeping pills), reported more falls, rated their health as poor, had higher prevalence of depressive symptoms and mild cognitive impairment, had higher prevalence of sarcopenia, and a high number of activities of daily living and instrumental activities of daily living disabilities. The FRAIL scale may be used as the first step in a step care approach to detecting frailty in the community, allowing targeted intervention to potentially retard decline and future disability.

Woo J ，Yu R ，Wong M ，Yeung F ，Wong M ，Lum C ... -  《-》

Instruments to assess sarcopenia and physical frailty in older people living in a community (care) setting: similarities and discrepancies.

Both sarcopenia and physical frailty are geriatric syndromes causing loss of functionality and independence. This study explored the association between sarcopenia and physical frailty and the overlap of their criteria in older people living in different community (care) settings. Moreover, it investigated the concurrent validity of the FRAIL scale to assess physical frailty, by comparison with the widely used Fried criteria. Data were retrieved from the cross-sectional Maastricht Sarcopenia Study (MaSS). The study was undertaken in different community care settings in an urban area (Maastricht) in the south of the Netherlands. Participants were 65 years or older, gave written informed consent, were able to understand Dutch language, and were not wheelchair bound or bedridden. Not applicable. Sarcopenia was identified using the algorithm of the European Working Group on Sarcopenia in Older People. Physical frailty was assessed by the Fried criteria and by the FRAIL scale. Logistic regression was performed to assess the association between sarcopenia and physical frailty measured by the Fried criteria. Spearman correlation was performed to assess the concurrent validity of the FRAIL scale compared with the Fried criteria. Data from 227 participants, mean age 74.9 years, were analyzed. Sarcopenia was identified in 23.3% of the participants, when using the cutoff levels for moderate sarcopenia. Physical frailty was identified in 8.4% (≥3 Fried criteria) and 9.3% (≥3 FRAIL scale criteria) of the study population. Sarcopenia and physical frailty were significantly associated (P = .022). Frail older people were more likely to be sarcopenic than those who were not frail. In older people who were not frail, the risk of having sarcopenia increased with age. Next to poor grip strength (78.9%) and slow gait speed (89.5%), poor performance in other functional tests was common in frail older people. The 2 physical frailty scales were significantly correlated (r = 0.617, P < .001). Sarcopenia and physical frailty were associated and partly overlap, especially on parameters of impaired physical function. Some evidence for concurrent validity between the FRAIL scale and Fried criteria was found. Future research should elicit the value of combining sarcopenia and frailty measures in preventing disability and other negative health outcomes.

Mijnarends DM ，Schols JM ，Meijers JM ，Tan FE ，Verlaan S ，Luiking YC ，Morley JE ，Halfens RJ ... -  《-》

Differential association of frailty with cognitive decline and sarcopenia in community-dwelling older adults.

Nishiguchi S ，Yamada M ，Fukutani N ，Adachi D ，Tashiro Y ，Hotta T ，Morino S ，Shirooka H ，Nozaki Y ，Hirata H ，Yamaguchi M ，Arai H ，Tsuboyama T ，Aoyama T ... -  《-》

Screening for Frailty and Sarcopenia Among Older Persons in Medical Outpatient Clinics and its Associations With Healthcare Burden.

With an aging population and increase in multimorbidity, the importance of screening for frailty and sarcopenia has become a public health priority. Several tools to do so exist. This study aimed to examine whether the SARC-F and Edmonton frail screening tools are useful in clinical practice to identify at-risk patients for negative health outcomes who would benefit from intervention. This is a cross-sectional study of patients attending medical specialist outpatient clinics at the National University Hospital, Singapore from May 2015 to February 2016. Frailty and sarcopenia were identified using the Edmonton Frail Scale and SARC-F questionnaires, respectively. Other clinically relevant data including basic demographics, presence of caregiver, number of follow-ups, medications and hospital readmissions in the past 1 year, Charlson comorbidity index, and modified Barthel index were collected from chart review. A total of 115 patients 65 years old and older were screened. Of the sample, 44.3% (n = 51) of patients were sarcopenic, whereas 27.0% (n = 31) were classified as frail; 23.5% (n = 27) were both frail and sarcopenic; and 87.1% of frail patients were sarcopenic, whereas 47.1% of sarcopenic patients were frail. Sarcopenia and frailty were associated with a higher Charlson comorbidity index, higher likelihood of requiring a caregiver, more medical specialty follow-ups, polypharmacy, more than 2 hospital admissions within a year, a higher number of falls and falls with serious consequences. This affected their perceived health status with 50.0% of robust patients rating their health excellent compared with 19.6% of sarcopenic patients (P < .001), 9.7% of frail patients (P < .001) and sarcopenic and frail patients scoring the lowest with 3.7% (P < .001). The prevalence of frailty and sarcopenia among older adults attending medical outpatient clinic is high. Both syndromes are predictors of recurrent hospital admissions, polypharmacy, multiple medical clinic appointments, higher rate of falls, and falls with serious consequences. Early identification of older adults at risk of adverse health outcomes would aid in instituting timely intervention to reduce healthcare burden and improve quality of life.

Tan LF ，Lim ZY ，Choe R ，Seetharaman S ，Merchant R ... -  《-》

Cognitive impairment improves the predictive validity of the phenotype of frailty for adverse health outcomes: the three-city study.

Avila-Funes JA ，Amieva H ，Barberger-Gateau P ，Le Goff M ，Raoux N ，Ritchie K ，Carrière I ，Tavernier B ，Tzourio C ，Gutiérrez-Robledo LM ，Dartigues JF ... -  《-》