Frailty and functional dependence in older population: lessons from the FREEDOM Limousin - Nouvelle Aquitaine Cohort Study.

BACKGROUND: Monitoring frailty indicators in elderly people is recommended to identify those who could benefit from disability prevention programs. To contribute to the understanding of the development of frailty in the elderly, we have created the FREEDOM-LNA cohort constituting an observational study of ageing in general population. Here, we described the characteristics of a cohort of elderly subjects who are followed for determination of frailty and loss of independence trajectories. RESULTS: The cohort was composed of 1085 subjects in advanced age (mean: 83.7 ± 6.0 years) and of women in majority (68.3%). Cardiovascular risk factors were present in 88.4% of subjects. Abnormal musculoskeletal signs were reported in 44.0% and neurologic signs in 31.9%. There were 44.8% of subjects at risk of malnutrition (MNA <24) and 73.3% (668/911) at risk of mobility-related disability (SPPB ≤9); 39% (384/973) of subjects had impaired cognitive function (MMSE< 24, adjusted on education) and 49.0% (397/810) had signs of depression (GDS >9); 31.8% (240/753) were frail and 58.3% were pre-frail. Most subjects had at least one disability in ADL (66.9%) and IADL (85.1%). The SMAF indicated a loss of independence in 59.6%. Overall, 59.9% of subjects could not stay at home without at least some help. Consequently, a medical consultation was proposed in 68.2 and 42.1% social supports. CONCLUSIONS: A large part of this cohort was frail or pre-frail and presented signs of loss of independence, which may be explained by multiple factors including impaired health status, poor physical performance, cognition, isolation, depression, or nutrition. This cohort will help to determine factors that adversely influence the trajectory of physical frailty over time.

Risk factors of frailty and functional disability in community-dwelling older adults: a cross-sectional analysis of the FREEDOM-LNA cohort study.

BACKGROUND: Frailty is a geriatric syndrome associated with disability and negative health outcome. To determine the factors associated with frailty and functional disability in older participants living in community in France. We included 753 community-dwelling old participants with available frailty data at baseline. RESULTS: Overall, 31.9% were frail, 58.3% were prefrail, and 9.8% were robust. The SMAF (French acronym for Functional Autonomy Measurement System) score was significantly lower (mean ± standard deviation: -25.8 ± 11.2) in frail participants compared to prefrail (-14.3 ± 9.7) or robust participants (-8.1 ± 7.0); 82% of frail older participants had limitation in at least one ADL and 97.5% in at least one IADL compared to 54.2 and 76.8%, respectively of pre-frail and 29.7 and 47.3% of robust participants. Age, depression, impaired cognition and diabetes were significantly associated with higher odds of frailty. These variables were also strongly associated with functional disability. Female gender, polypharmacy, and smoking were additional variables significantly associated with degraded SMAF and/or ADL/IADL. CONCLUSIONS: This study showed that functional disability increased proportionally to frailty, and depression, cognitive decline and diabetes are modifiable risk factors significantly associated with frailty and functional disability.

Effectiveness and cost-effectiveness of a telemedicine programme for preventing unplanned hospitalisations of older adults living in nursing homes: the GERONTACCESS cluster randomized clinical trial.

OBJECTIVE: The GERONTACCESS trial evaluated the utility and cost-effectiveness of a gerontological telemedicine (TLM) programme for preventing unplanned hospitalisation of residents living in nursing homes (NHs) in regions lacking medical facilities and/or qualified medical providers ("medical deserts"). DESIGN: GERONTACCESS was a 12-month, multicentre, prospective cluster-randomised trial conducted in NHs. The intervention group underwent TLM assessments every 3 months. The control group received the usual care. In both groups, comprehensive on-site assessments were conducted at baseline and the final visit. Care requirements were documented throughout the study. SETTING AND PARTICIPANTS: NH residents aged ≥ 60 years with multiple chronic diseases. METHODS: The study outcomes were the proportion of patients who experienced avoidable and unplanned hospitalisation, and the incremental cost savings per quality-adjusted life years from baseline to the 12-month follow-up. RESULTS: Of the 426 randomised participants (mean ± standard deviation age, 87.2 ± 7.6 years; 311 [73.0%] women), 23.4% in the intervention group and 32.5% in the control group experienced unplanned hospitalisation (odds ratio [OR] = 0.73, 95% confidence interval [CI] 0.43 to 0.97; p = 0.034). Each avoided hospitalisation in the intervention group saved $US 3,846. CONCLUSIONS AND IMPLICATIONS: The results of GERONTACCESS revealed that our gerontological, preventative TLM program significantly reduced unplanned hospitalisations. This innovative intervention limited disease progression and promoted a healthy lifestyle among NH residents. TRIAL REGISTRATION: Clinicaltrials.gov, NCT02816177, registered June 28, 2016.

Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults.

BACKGROUND: Independence is related to the aging process. Loss of independence is defined as the inability to make decisions and participate in activities of daily living (ADLs). Independence is related to physical, psychological, biological, and socioeconomic factors. An enhanced understanding of older people's independence trajectories and associated risk factors would enable the develop early intervention strategies. METHODS: Independence trajectory analysis was performed on patients identified in the Unité de Prévention de Suivi et d'Analyse du Vieillissement (UPSAV) database. UPSAV cohort is a prospective observational study. Participants were 221 community-dwelling persons aged ≥75 years followed for 24 months between July 2011-November 2013 and benefits from a prevention strategy. Data were collected prospectively using a questionnaire. Independence was assessed using the "Functional Autonomy Measurement System (Système de Mesure de l'Autonomie Fonctionnelle (SMAF))". Group-based trajectory modeling (GBTM) was performed to identify independence trajectories, and the results were compared with those of k-means and hierarchical ascending classifications. A multinomial logistic regression was performed to identify predictive factors of the independence trajectory. RESULTS: Three distinct trajectories of independence were identified including a "Stable functional autonomy (SFA) trajectory" (53% of patients), a "Stable then decline functional autonomy decline (SDFA) trajectory" (33% of patients) and a "Constantly functional autonomy decline (CFAD) trajectory" (14% of patients). Not being a member of an association, and previous fall were significantly associated of a SDFA trajectory (P < 0.01). Absence of financial and human assistance, no hobbies, and cognitive disorder were significantly associated with a CFAD trajectory (P < 0.01). Previous occupation and multiple pathologies were predictive factors of both declining trajectories SDFA and CFAD. CONCLUSIONS: Community-living older persons exhibit distinct independence trajectories and the predictive factors. The evidence from this study suggests that the prevention and screening for the loss of independence of the older adults should be anticipated to maintaining autonomy.

Effectiveness of a home-based telesurveillance program in reducing hospital readmissions in older patients with chronic disease: The eCOBAHLT randomized controlled trial.

INTRODUCTION: Given that chronic, long-term conditions are increasingly common in older patients, the impact of telesurveillance program on clinical outcomes is uncertain. This study aimed to evaluate the feasibility and effectiveness of a 12-month remote monitoring program in preventing rehospitalizations in older patients with two or more chronic diseases returning home after hospitalization. METHODS: We conducted a multicenter randomized controlled trial in two parallel groups to evaluate the remote monitoring system. Elderly patients with chronic diseases (at least two comorbidities) aged 65 years or older and discharged home after acute hospital care for a chronic disease were randomized to receive a home telemonitoring program (intervention group, n = 267) or conventional care (control group, n = 267). The remote home monitoring program was an online biometric home life analysis technology (e-COBAHLT) with tele-homecare/automation and biometric sensors. The eCOBALTH intervention group received the automation sensors containing chronic disease clinical factor trackers to monitor their biometric parameters and detect any abnormal prodromal disease decompensation by remote monitoring and providing geriatric expertise to general practitioners. The usual care group received no eCOBALTH program. In both groups, baseline visits were conducted at baseline and the final visit at 12 months. The primary outcome was the incidence of unplanned hospitalizations for decompensation during the 12-month period. RESULTS: Among 534 randomized participants (mean [SD] age, 80.3 [8.1] years; 280 [52.4%] women), 492 (92.1%) completed the 12-month follow-up; 182 (34.1) had chronic heart failure, 115 (21.5%) had stroke, and 77 (14.4%) had diabetes. During the 12-month follow-up period, 238 patients had at least one unplanned hospitalization for decompensation of a chronic disease: 108 (40.4%) in the intervention group versus 130 (48.7%) in the control group (P = 0.04). The risk of rehospitalization was significantly reduced in the intervention group (age- and sex-adjusted relative risk: 0.72, 95% 95% confidence intervals 0.51-0.94). CONCLUSION: A 12-month home telemonitoring program with online biometric analysis using Home life technology combining telecare and biometric sensors is feasible and effective in preventing unplanned hospitalizations for chronic disease decompensation in elderly patients with chronic diseases at high risk for hospitalizations.

Effectiveness of light paths coupled with personal emergency response systems in preventing functional decline among the elderly.

INTRODUCTION: The elderly population is at high risk of functional decline, which will induce significant costs due to long-term care. Dependency could be delayed by preventing one of its major determinants: falls. Light paths coupled with personal emergency response systems could prevent the functional decline through fall prevention. METHODS: This study aimed to evaluate the effectiveness of light paths coupled with personal emergency response systems on the functional decline in an elderly population living at home. It is a secondary analysis on data from a previous cohort. In all, 190 older adults (aged 65 years or more) living at home participated. Participants in the exposed group were equipped with home-based technologies: light paths coupled with personal emergency response systems. The participants' functional status was assessed using the Functional Autonomy Measurement System scale at baseline (T0) and at the end of the study (T12-month). Baseline characteristics were evaluated by a comprehensive geriatric assessment. RESULTS: After 1 year, 43% of the unexposed group had functional decline versus 16% of the exposed group. Light paths coupled with personal emergency response systems were significantly associated with a decrease in the functional decline (Δ Functional Autonomy Measurement System ⩾ 5) at home (odds ratio = 0.24, 95% confidence interval (0.11-0.54), p = 0.002). DISCUSSION: This study suggests that light paths coupled with personal emergency response systems prevent the functional decline over 12 months. This result may encourage the prescription and use of home-based technologies to postpone dependency and institutionalization, but they need a larger cost-effectiveness study to demonstrate the efficiency of these technologies.