ObjectivesTo establish the prevalence and course of geriatric syndromes from hospital admission up to 3 months postdischarge and to determine the probability to retain geriatric syndromes over the period from discharge until 3 months postdischarge, once they are present at admission.DesignProspective multicenter cohort study conducted between October 2015 and June 2017.Setting and participantsAcutely hospitalized patients aged 70 years and older recruited from internal, cardiology, and geriatric wards of 6 Dutch hospitals.MeasuresCognitive impairment, depressive symptoms, apathy, pain, malnutrition, incontinence, dizziness, fatigue, mobility impairment, functional impairment, fall risk, and fear of falling were assessed at admission, discharge, and 1, 2, and 3 months postdischarge. Generalized estimating equations analysis were performed to analyze the course of syndromes and to determine the probability to retain syndromes.ResultsA total of 401 participants [mean age (standard deviation) 79.7 (6.7)] were included. At admission, a median of 5 geriatric syndromes were present. Most prevalent were fatigue (77.2%), functional impairment (62.3%), apathy (57.5%), mobility impairment (54.6%), and fear of falling (40.6%). At 3 months postdischarge, an average of 3 syndromes were present, of which mobility impairment (52.7%), fatigue (48.1%), and functional impairment (42.5%) were most prevalent. Tracking analysis showed that geriatric syndromes that were present at admission were likely to be retained. The following 6 geriatric syndromes were most likely to stay present postdischarge: mobility impairment, incontinence, cognitive impairment, depressive symptoms, functional impairment, and fear of falling.ImplicationsAcutely hospitalized older adults exhibit a broad spectrum of highly prevalent geriatric syndromes. Moreover, patients are likely to retain symptoms that are present at admission postdischarge. Our study underscores the need to address a wide range of syndromes at admission, the importance of communication on syndromes to the next care provider, and the need for adequate follow-up care and syndrome management postdischarge.
BACKGROUND: Falls and fall-related injuries among older adults are a serious threat to the quality of life and result in high healthcare and societal costs. Despite evidence that falls can be prevented by fall prevention programmes, practical barriers may challenge the implementation of these programmes. In this study, we will investigate the effectiveness and cost-effectiveness of In Balance, a fourteen-week, low-cost group fall prevention intervention, that is widely implemented in community-dwelling older adults with an increased fall risk in the Netherlands. Moreover, we will be the first to include cost-effectiveness for this intervention. Based on previous evidence of the In Balance intervention in pre-frail older adults, we expect this intervention to be (cost-)effective after implementation-related adjustments on the target population and duration of the intervention.METHODS: This study is a single-blinded, multicenter randomized controlled trial. The target sample will consist of 256 community-dwelling non-frail and pre-frail adults of 65 years or older with an increased risk of falls. The intervention group receives the In Balance intervention as it is currently widely implemented in Dutch healthcare, which includes an educational component and physical exercises. The physical exercises are based on Tai Chi principles and focus on balance and strength. The control group receives general written physical activity recommendations. Primary outcomes are the number of falls and fall-related injuries over 12 months follow-up. Secondary outcomes consist of physical performance measures, physical activity, confidence, health status, quality of life, process evaluation and societal costs. Mixed model analyses will be conducted for both primary and secondary outcomes and will be stratified for non-frail and pre-frail adults.DISCUSSION: This trial will provide insight into the clinical and societal impact of an implemented Dutch fall prevention intervention and will have major benefits for older adults, society and health insurance companies. In addition, results of this study will inform healthcare professionals and policy makers about timely and (cost-)effective prevention of falls in older adults.TRIAL REGISTRATION: Netherlands Trial Register: NL9248 (registered February 13, 2021).
BackgroundA key factor in successfully preventing falls, is early identification of elderly with a high risk of falling. However, currently there is no easy-to-use pre-screening tool available; current tools are either not discriminative, time-consuming and/or costly. This pilot investigates the feasibility of developing an automatic gait-screening method by using a low-cost optical sensor and machinelearning algorithms to automatically detect features and classify gait patterns.MethodParticipants (n = 204, age 27 ± 7 yrs.) performed a gait test under two conditions: control and with distorted depth perception (induced by wearing special goggles). Each test consisted of 4x 3m walking at comfortable speed. Full-body 3D kinematics were captured using an optical sensor (Microsoft Xbox One Kinect). Tests were conducted in a public space to establish relatively 'natural' conditions. Data was processed in Matlab and common spatiotemporal variables were calculated per gait section. The 3D-time series data of the centre of mass for each section was used as input for a neural network, that was trained to discriminate between the two conditions.ResultsWearing the goggles affected the gait pattern significantly: gait velocity and step length decreased, and lateral sway increased compared to the control condition. A 2-layer neural network could correctly classify 79% of the gait segments (i.e. with or without distorted vision).ConclusionsThe results show that gait patterns of healthy people with distorted vision could automatically be classified with the proposed approach. Future work will focus on adapting this model for identification of specific physical risk-factors in elderly.