Predictive capacity of the modified SEGA frailty scale upon discharge from geriatric hospitalisation: a six-month prospective study.

The aim of this study was to describe the predictive role of the modified SEGA frailty scale on nursing home admission, readmission to hospital, falls and mortality. MATERIAL AND METHODS: We performed a prospective, single-centre cohort study in patients discharged from a geriatric hospital ward between July 2016 and February 2017, with follow-up of six months. Patients aged 65 and over who were returning home from hospital were included. The primary outcome measure was admission to a nursing home at six months. We used a Cox model to explore the predictive nature of the variables. RESULTS: Thirty-three patients (18.4%) with a mean age of 80.9 years (± 6.5) were classified as not very frail and 146 (81.6%) with a mean age of 86 years (± 6.5) as frail/very frail. After six months, 13.5% of the frail/very frail patients and 1.2% of the not very frail patients had entered a nursing home (p = 0.169). Frailty status was significantly associated with readmission to hospital at three months (p = 0.026) and single or multiple falls at six months (p = 0.003). CONCLUSION: The modified SEGA scale may predict the occurrence of adverse events and improve the transition to home.

[Predictive capacities at the end of hospitalisation in geriatrics of the modified SEGA frailty score: a 6-month prospective study]. / Capacités prédictives du score de fragilité de la grille SEGA modifiée en sortie d'hospitalisation de gériatrie : étude prospective à 6 mois.

The aim of this study was to describe the predictive role of the modified SEGA fragility score on nursing home admission, rehospitalization, falls and mortality. MATERIAL AND METHODS: We performed a prospective, single-center cohort study in patients leaving geriatric hospitalization between July 2016 and February 2017, with follow-up at 6 months. Patients 65 years of age and over, returning home, were included. The primary outcome measure was admission to an institution at 6 months. We realized a Cox model to explore the predictive character of the variables. RESULTS: Thirty-three patients (18.4%), mean age 80.9 years (± 6.5), were not very fragile. At 6 months, 13.5% of the fragile or very fragile patients and 1.2% of the patients who were not very fragile had entered the institution (p = 0.169). Fragility status was statistically significantly associated with rehospitalization at 3 months (p = 0.026) and single or multiple drop at 6 months) month (p = 0.003). CONCLUSION: The SEGAm grid would predict the occurrence of derogatory events and improve return home.

In-home physical frailty monitoring: relevance with respect to clinical tests.

BACKGROUND: Frailty detection and remote monitoring are of major importance for slowing down, and/or even stopping the frailty process in home-dwelling older people. Taking the Fried's criteria as a reference, this work aims to compare the results produced by a technological set (ARPEGE Pack) with those obtained by usual clinical tests, as well as to discuss the ability of the Pack to be used for long-run frailty remote monitoring. METHODS: 194 participants were given a number of geriatric tests and asked to make use of the ARPEGE technological tools as well as reference clinical tools to feed Fried's indicators. Spearman or Pearson's correlation coefficients were used to compare the ARPEGE results to the reference ones, depending on data statistical characteristics. RESULTS: Good correlations were obtained for measurements of weight (0.99), grip strength (0.89) and walking speed (0.79). Results are much less satisfactory for evaluation of physical activity and exhaustion (Spearman correlation coefficients 0.25 and 0.41, respectively). CONCLUSION: Correlations regarding weight, grip strength and walking speed confirm the validity of the data produced by the ARPEGE Pack to feed Fried's criteria. Assessing activity level and exhaustion from an abbreviated questionnaire is still questionable. However, for long-run monitoring other methods of evaluation can be explored. Beyond the quantitative results, the ARPEGE Pack has been proved to be acceptable and motivating in such a long-term frailty monitoring.

[The suitability of sending nursing home residents over 75 to emergency departments]. / Pertinence des passages aux urgences des résidents d'Ehpad de 75 ans et plus.

The care provided to elderly people aged over 75 must be specific and multidisciplinary. An emergency department, which is seeing increasing numbers of patients passing through its doors, notably with the provision of an ambulatory care service, would not appear to be a suitable place for this fragile population, often with multiple pathologies. A study is looking at the suitability of the emergency department for nursing home residents, who have regular access to medical care, unlike elderly people living at home.

Identification of the period of stability in a balance test after stepping up using a simplified cumulative sum.

Falls are a major cause of death in older people. One method used to predict falls is analysis of Centre of Pressure (CoP) displacement, which provides a measure of balance quality. The Balance Quality Tester (BQT) is a device based on a commercial bathroom scale that calculates instantaneous values of vertical ground reaction force (Fz) as well as the CoP in both anteroposterior (AP) and mediolateral (ML) directions. The entire testing process needs to take no longer than 12 s to ensure subject compliance, making it vital that calculations related to balance are only calculated for the period when the subject is static. In the present study, a method is presented to detect the stabilization period after a subject has stepped onto the BQT. Four different phases of the test are identified (stepping-on, stabilization, balancing, stepping-off), ensuring that subjects are static when parameters from the balancing phase are calculated. The method, based on a simplified cumulative sum (CUSUM) algorithm, could detect the change between unstable and stable stance. The time taken to stabilize significantly affected the static balance variables of surface area and trajectory velocity, and was also related to Timed-up-and-Go performance. Such a finding suggests that the time to stabilize could be a worthwhile parameter to explore as a potential indicator of balance problems and fall risk in older people.