Prevalence and determinants of care needs among older people in Ghana.

INTRODUCTION: Given the longevity noticed among older people in Ghana, and the potential occurrence of functional disability in later years of life, it has become essential to understand their care needs. This study examined the care needs in daily tasks and associated factors in Ghana, following the World Health Organisation International Classification of Functioning, Disability and Health framework. MATERIALS AND METHODS: A cross-sectional survey was conducted among a sample of 400 older people from Komfo Anokye Teaching Hospital in Southern Ghana. Care need was assessed by one question; "Do you regularly need help with daily tasks because of long-term illness, disability, or frailty?" Multivariate logistic regression was used to test the association between care need and independent variables based on the WHO-ICF conceptual framework. RESULTS: Majority of the sample (81%), particularly women (54%) reported needing care in daily tasks. Per the WHO-ICF conceptual framework, functional disability-activity variable, (OR = 1.07 95%CI: 1.05-1.09, p<0.001), and absence of government support-an environmental factor, (OR = 3.96 95%CI: 1.90-8.25, p<0.001) were associated with care need. CONCLUSIONS: The high prevalence of care needs among older people may offer an indication that majority of older people in Ghana could benefit from long-term care services. Functional disability and the absence of government support are the major issues that need to be prioritised in addressing the increased demand for care related to performing daily tasks among older people in Ghana.

Monitoring the Motor Phenotype in Huntington's Disease by Analysis of Keyboard Typing During Real Life Computer Use.

BACKGROUND: Besides cognitive and psychiatric abnormalities, motor symptoms are the most prominent in Huntington's disease. The manifest disease is preceded by a prodromal phase with subtle changes such as fine motor disturbances or concentration problems. OBJECTIVE: Movement disorders show a high variation in their clinical manifestation depending on condition and external influences. Therefore, devices for continuous measurements, which patients use in their daily life and which can monitor motor abnormalities, in addition to the medical examination, might be useful. The aim of current scientific efforts is to find markers that reflect the prodromal phase in gene carriers. This is important for future interventional studies, as future therapies should be applied at the stage of neuronal dysfunction, i.e., before the clinical manifestation. METHODS: We performed a software-supported, continuous monitoring of keyboard typing on the participants' own computer to evaluate this method as a tool to assess the motor phenotype in HD. We included 40 participants and obtained sufficient data from 25 participants, 12 of whom were manifest HD patients, 7 HD gene expansion carriers (HDGEC) and 6 healthy controls. RESULTS: In a cross-sectional analysis we found statistically significant higher typing inconsistency in HD patients compared to controls. Typing inconsistency compared between HDGEC and healthy controls showed a trend to higher inconsistency levels in HDGEC. We found correlations between typing cadence and clinical scores: the UHDRS finger tapping item, the composite UHDRS and the CAP score. CONCLUSION: The typing cadence inconsistency is an appropriate marker to evaluate fine motor skills of HD patients and HDGEC and is correlated to established clinical measurements.

Life expectancy and active life expectancy by disability status in older U.S. adults.

OBJECTIVES: The Medicare Health Outcome Survey (HOS) is the largest longitudinal survey of the U.S. community-dwelling elderly population. This study estimated total life expectancy, active life expectancy (ALE), and disability-free life expectancy (DFLE) by disability status among HOS participants. METHODS: Data were from the Medicare HOS Cohort 15 (baseline 2012, follow-up 2014). We included respondents aged ≥ 65 years (n = 164,597). Participants' disability status was assessed based on the following six activities of daily living (ADL): bathing, dressing, eating, getting in or out of chairs, walking, and using the toilet. The multi-state models were used to estimate life expectancy, ALE, and DFLE by participants' baseline disability status and age. RESULTS: Persons who had higher-level ADL limitations had a shorter life expectancy, ALE, and DFLE. Also persons with disability had greater expected life years with disability than those with no limitations and those with mild limitations. For example, among 65-year old respondents with no limitations, mild limitations, and disability, life expectancy was 19.9, 18.6, and 17.1 years, respectively; ALE was 14.0, 9.5, and 7.2 years, respectively; DFLE was 17.3, 15.2, and 11.4 years, respectively; and expected years with disability was 2.6, 3.4, and 5.7 years, respectively. CONCLUSIONS: This study demonstrated that greater levels of disability adversely impact life expectancy, ALE, DFLE, and expected number of years with a disability among U.S. older adults. Understanding levels of disability, and how these may change over time, would enhance health care quality and planning services related to home care and housing in this community-dwelling population.

Functional dependence and the mental dimension of quality of life in Hemodialysis patients: the PROHEMO study.

BACKGROUND: Functional dependence is highly prevalent in maintenance hemodialysis (MHD) settings. Also, poor health-related quality of life (HRQoL) and high levels of depressive symptoms have been reported by MHD patients. We investigated associations between functional status and mental aspects of quality of life in Brazilian MHD patients. METHODS: Cross sectional study of 235 patients enrolled in two of the four participating MHD clinics of the Prospective Study of the Prognosis of Chronic Hemodialysis Patients (PROHEMO) in Salvador, BA, Brazil. Data were collected from September 2016 to August 2017. The Katz's questionnaire was used for basic activities of daily living (ADL) and the Lawton-Brody's questionnaire for instrumental activities of daily living (IADL). ADL and IADL scores were combined to create 3 functional status groups: highly dependent (n = 47), moderately dependent (n = 109) and independent (n = 82). The validated Brazilian version of the Kidney Disease Quality of Life Short Form (KDQOL-SF) was used for scores of two distinct HRQoL measures, i.e., the mental component summary (MCS) and the 5-item mental health inventory (MHI-5). We used linear regression to estimate differences in scores with adjustment for possible confounders: months of dialysis, age, gender, other sociodemographic variables, body mass index, type of vascular access, dialysis dose by Kt/V, laboratory variables (albumin, blood hemoglobin, calcium, phosphorus, urea, creatinine and parathyroid hormone) and nine comorbid conditions. RESULTS: Mean age was 51.2 ± 12.4 yr (median age = 51.0 yr), 59.1% were male, 93.2% were non-White. The prevalence of self-reported functional status differed by age: 54.4% for age < 45 yr, 67.8% for age 45-60 yr and 73.9% for age ≥ 60 yr. Using functionally independent as reference, lower scores were observed for highly dependent patients in MCS (difference: -4.69, 95% CI: -8.09, -0.29) and MHI-5 (difference: -5.97, 95% CI: -8.09, -1.29) patients. These differences changed slightly with extensive adjustments for covariates. CONCLUSIONS: Our results call attention to a high prevalence of functional dependence in younger and older MHD patients. The results suggest that the lower self-reported mental quality of life in functionally dependent MHD patients cannot be explained by differences in age and comorbidities.

Elastic-band resistance exercise or vibration treatment in combination with hydroxymethylbutyrate (HMB) supplement for management of sarcopenia in older people: a study protocol for a single-blinded randomised controlled trial in Hong Kong.

INTRODUCTION: Sarcopenia is a geriatric syndrome characterised by progressive loss of skeletal muscle mass and function with risks of adverse outcomes and becomes more prevalent due to ageing population. Elastic-band exercise, vibration treatment and hydroxymethylbutyrate (HMB) supplementation were previously proven to have positive effects on the control of sarcopenia. The purpose of this study is to evaluate the effectiveness of elastic-band exercise or vibration treatment with HMB supplementation in managing sarcopenia. Our findings will provide a safe and efficient strategy to mitigate the progression of sarcopenia in older people and contribute to higher quality of life as well as improved long-term health outcomes of elderly people. METHODS AND ANALYSIS: In this single-blinded, randomised controlled trial (RCT), subjects will be screened for sarcopenia based on the Asian Working Group for Sarcopenia (AWGS) definition and 144 sarcopenic subjects aged 65 or above will be recruited. This RCT will have three groups evaluated at two time points to measure changes over 3 months-the control and the groups with combined HMB supplement and elastic-band resistance exercise or vibration treatment. Changes in muscle strength in lower extremity will be the primary outcome. Muscle strength in the upper extremity, gait speed, muscle mass (based on AWGS definition), functional performance in terms of balancing ability and time-up-and-go test and quality of life will be taken as secondary outcomes. In addition, each participant's daily activity will be monitored by a wrist-worn activity tracker. Repeated-measures analysis of variance will be performed to compare within-subject changes between control and treatment groups at two time points of pretreatments and post-treatments. ETHICS AND DISSEMINATION: The procedures have been approved by the Joint CUHK-NTEC Clinical Research Management Office (Ref. CREC 2018.602) and conformed to the Declaration of Helsinki. Results will be disseminated through peer-reviewed publications, conferences and workshops. TRIAL REGISTRATION NUMBER: NCT04028206.

Real-time Positioning Among Nursing Home Residents Living With Dementia: A Case Study.

Dementia contributes to the development of pressure injuries (PrIs). PURPOSE: This study describes the real-time body positions of 2 nursing home (NH) residents, residing in the United States and living with dementia, to inform development of PrI prevention strategies tailored to individual risk profiles. METHODS: As part of a larger study, eligible residents were fitted with a triaxial accelerometer sensor placed on the anterior chest to monitor body positions 24-hours daily through a 4-week monitoring period. The current study used an observational, prospective design during routine repositioning events for 2 residents. A convenience sample of 2 residents from a single NH wing who were considered moderately at risk for PrI development (Braden Scale score 13-14) with a Brief Interview for Mental Status score in the severely impaired range were selected based on nursing staff recommendation. RESULTS: Sensor data showed that both residents, although "chairfast" according to the Braden Scale, spent <5% in an upright position and the great majority of time reclining at an angle <50%. One (1) resident demonstrated a persistent side preference. CONCLUSIONS: Wearable sensors are not a long-term solution for protecting those with dementia from PrI formation but do provide a crude picture of overall body positions throughout the 24-hour day that may inform individualized PrI prevention strategies. Studies including large samples of NH residents living with dementia are warranted.

SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition.

The recognition of activities of daily living (ADL) in smart environments is a well-known and an important research area, which presents the real-time state of humans in pervasive computing. The process of recognizing human activities generally involves deploying a set of obtrusive and unobtrusive sensors, pre-processing the raw data, and building classification models using machine learning (ML) algorithms. Integrating data from multiple sensors is a challenging task due to dynamic nature of data sources. This is further complicated due to semantic and syntactic differences in these data sources. These differences become even more complex if the data generated is imperfect, which ultimately has a direct impact on its usefulness in yielding an accurate classifier. In this study, we propose a semantic imputation framework to improve the quality of sensor data using ontology-based semantic similarity learning. This is achieved by identifying semantic correlations among sensor events through SPARQL queries, and by performing a time-series longitudinal imputation. Furthermore, we applied deep learning (DL) based artificial neural network (ANN) on public datasets to demonstrate the applicability and validity of the proposed approach. The results showed a higher accuracy with semantically imputed datasets using ANN. We also presented a detailed comparative analysis, comparing the results with the state-of-the-art from the literature. We found that our semantic imputed datasets improved the classification accuracy with 95.78% as a higher one thus proving the effectiveness and robustness of learned models.

Military-Specific Normative Data for Cognitive and Motor Single- and Dual-Task Assessments for Use in Mild Traumatic Brain Injury Assessment.

INTRODUCTION: Military personnel and civilian athletes are both at risk for mild traumatic brain injury. However, these groups are unique in their training and typical daily activities. A fundamental gap in the evaluation of military personnel following mild traumatic brain injury is the lack of military-specific normative reference data. This project aimed to determine if a separate normative sample should be used for military personnel on their performance of the Cleveland Clinic Concussion application and a recently developed dual-task module. METHODS: Data were collected from healthy military personnel (n = 305) and civilians (n = 281) 18 to 30 years of age. Participants completed the following assessments: simple and choice reaction time, Trail Making tests A&B, processing speed test, single-task postural stability, single-task cognitive assessment, and dual-task assessment. RESULTS: Civilian participants outperformed military service members on all cognitive tasks under single- and dual-task conditions (P ≤ 0.04). The military group outperformed civilians on all postural stability tasks under single- and dual-task conditions (P ≤ 0.01). CONCLUSION: Differences in cognitive performance and postural stability measures may be influenced by demographic differences between military and civilian cohorts. Thus, military-specific normative datasets must be established to optimize clinical interpretation of Cleveland Clinic Concussion assessments.

Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living.

Physical activity is essential for physical and mental health, and its absence is highly associated with severe health conditions and disorders. Therefore, tracking activities of daily living can help promote quality of life. Wearable sensors in this regard can provide a reliable and economical means of tracking such activities, and such sensors are readily available in smartphones and watches. This study is the first of its kind to develop a wearable sensor-based physical activity classification system using a special class of supervised machine learning approaches called boosting algorithms. The study presents the performance analysis of several boosting algorithms (extreme gradient boosting-XGB, light gradient boosting machine-LGBM, gradient boosting-GB, cat boosting-CB and AdaBoost) in a fair and unbiased performance way using uniform dataset, feature set, feature selection method, performance metric and cross-validation techniques. The study utilizes the Smartphone-based dataset of thirty individuals. The results showed that the proposed method could accurately classify the activities of daily living with very high performance (above 90%). These findings suggest the strength of the proposed system in classifying activity of daily living using only the smartphone sensor's data and can assist in reducing the physical inactivity patterns to promote a healthier lifestyle and wellbeing.

Prediction of Prolonged Length of Stay for Stroke Patients on Admission for Inpatient Rehabilitation Based on the International Classification of Functioning, Disability, and Health (ICF) Generic Set: A Study from 50 Centers in China.

BACKGROUND This study aimed to develop a risk prediction model for prolonged length of stay (LOS) in stroke patients in 50 inpatient rehabilitation centers in 20 provinces across mainland China based on the International Classification of Functioning, Disability, and Health (ICF) Generic Set case mix on admission. MATERIAL AND METHODS In this cohort study, 383 stroke patients were included from inpatient rehabilitation settings of 50 hospitals across mainland China. Independent predictors of prolonged LOS were identified using multivariate logistic regression analysis. A prediction model was established and then evaluated by receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow test. RESULTS Multivariate logistic regression analysis showed that the type of medical insurance and the performance of daily activities (ICF, d230) were associated with prolonged LOS (P<0.05). Age and mobility level measured by the ICF Generic Set demonstrated no significant predictive value. The prediction model showed acceptable discrimination shown by an area under the curve (AUC) of 0.699 (95% CI, 0.646-0.752) and calibration (χ²=11.66; P=0.308). CONCLUSIONS The risk prediction model for prolonged LOS in stroke patients in 50 rehabilitation centers in China, based on the ICF Generic Set, showed that the scores for the type of medical insurance and the performance of daily activities (ICF, d230) on admission were independent predictors of prolonged LOS. This prediction model may allow stakeholders to estimate the risk of prolonged LOS on admission quantitatively, facilitate the financial planning, treatment regimens during hospitalization, referral after discharge, and reimbursement.

A Multimodal Wearable System for Continuous and Real-Time Breathing Pattern Monitoring During Daily Activity.

OBJECTIVE: This study aims to understand breathing patterns during daily activities by developing a wearable respiratory and activity monitoring (WRAM) system. METHODS: A novel multimodal fusion architecture is proposed to calculate the respiratory and exercise parameters and simultaneously identify human actions. A hybrid hierarchical classification (HHC) algorithm combining deep learning and threshold-based methods is presented to distinguish 15 complex activities for accuracy enhancement and fast computation. A series of signal processing algorithms are utilized and integrated to calculate breathing and motion indices. The designed wireless communication structure achieves the interactions among chest bands, mobile devices, and the data processing center. RESULTS: The advantage of the proposed HHC method is evaluated by comparing the average accuracy (97.22%) and predictive time (0.0094 s) with machine learning and deep learning approaches. The nine breathing patterns during 15 activities were analyzed by investigating the data from 12 subjects. With 12 hours of naturalistic data collected from one participant, the WRAM system reports the breathing and exercise performance within the identified motions. The demonstration shows the ability of the WRAM system to monitor multiple users breathing and exercise status in real-time. CONCLUSION: The present system demonstrates the usefulness of the framework of breathing pattern monitoring during daily activities, which may be potentially used in healthcare. SIGNIFICANCE: The proposed multimodal based WRAM system offers new insights into the breathing function of exercise in action and presents a novel approach for precision medicine and health state monitoring.

Highly Accurate Bathroom Activity Recognition Using Infrared Proximity Sensors.

Among elderly populations over the world, a high percentage of individuals are affected by physical or mental diseases, greatly influencing their quality of life. As it is a known fact that they wish to remain in their own home for as long as possible, solutions must be designed to detect these diseases automatically, limiting the reliance on human resources. To this end, our team developed a sensors platform based on infrared proximity sensors to accurately recognize basic bathroom activities such as going to the toilet and showering. This article is based on the body of scientific literature which establish evidences that activities relative to corporal hygiene are strongly correlated to health status and can be important signs of the development of eventual disorders. The system is built to be simple, affordable and highly reliable. Our experiments have shown that it can yield an F-Score of 96.94%. Also, the durations collected by our kit are approximately 6 seconds apart from the real ones; those results confirm the reliability of our kit.

Activities of daily living are associated with outcomes of epilepsy treatment in elderly patients.

AIM: Controlling epileptic seizures in elderly populations is widely considered to be relatively easy, but we hypothesized that the lifestyles of elderly individuals may affect the outcomes of epilepsy treatment. The purpose of this study was to review the activities of daily living (ADL) of elderly individuals with epilepsy and compare them with the outcomes of epilepsy treatment. METHODS: Of the 177 patients ≥65 years old who were referred to our epilepsy centre, epilepsy was diagnosed in 84. ADL and treatment outcomes were then reviewed, with ADL classified into three levels: ADL I, without disability; ADL II, disabled only in some instrumental ADL; and ADL III, disabled in some basic ADL. Epilepsy syndromes and use of anti-seizure drugs were also evaluated. RESULTS: Forty-five patients (53.6%) achieved freedom from seizures, 23 (27.4%) achieved ≥80% but <100% reduction in seizures, 5 (6%) achieved ≥50% but <80% reduction in seizures, and 11 (13.1%) achieved <50% reduction in seizures. Thirty-five patients (81.4%) with ADL I achieved freedom from seizures, compared with seven patients with ADL II (28.0%) and three patients with ADL III (19.0%). A significant difference was evident among the three groups (F = 6.145, P = 0.003). CONCLUSIONS: ADL should be taken into account when an epilepsy treatment is being selected.

Virtual reality assessment of functional capacity in the early course of schizophrenia: Associations with cognitive performance and daily functioning.

AIM: Computer-based virtual reality assessments of functional capacity have shown promise as a reliable and valid way to assess individuals with multi-episode schizophrenia. However, there has been little research utilizing this innovative approach with young patients who are in the early phase of schizophrenia. METHODS: Outpatients in the early course of schizophrenia (n = 42) were compared to controls (n = 13) at cross-sectional study points. Patients were within 2 years of their first psychotic episode, were an average of 22.2 years old and had an average of 12.3 years of education. We used the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the University of California, San Diego (UCSD) Performance-Based Skills Assessment-2 (UPSA-2) to assess functional capacity. The MATRICS Consensus Cognitive Battery (MCCB) and the Cognitive Assessment Interview (CAI) were the measures of cognitive functioning. The Global Functioning Scale: Role (GFS-R) and Social (GFS-S), and the Role Functioning Scale (RFS) were the measures of daily functioning. RESULTS: Early course patients vs controls were slower (patient M = 830.41 seconds vs control M = 716.84 seconds; t = 3.0, P < .01) and committed more errors (patient M = 3.2 vs control M = 1.7 seconds, t = 2.9, P < .01) on the VRFCAT. Total time was significantly correlated with the UPSA (r = -0.66, P < .01), MCCB (r = -0.70, P < .01), CAI (r = -0.51, P < .01), and GFS role (r = -0.52, P <. 01) and social functioning (r = -0.43, P = .03). CONCLUSIONS: We extend previous findings to patients with first-episode schizophrenia. Virtual-reality-based performance was correlated with a standard test of functional capacity, indicating VRFCAT validity. Furthermore, correlations with cognitive functioning and occupational/school and social functioning indicate promise as a co-primary measure to track changes in response to treatment.

Inferring Micro-Activities Using Wearable Sensing for ADL Recognition of Home-Care Patients.

In this study, we propose a novel, context-based, location-aware algorithm for identifying low-level micro-activities that can be used to derive complex activities of daily living (ADL) performed by home-care patients. This identification is achieved by gathering the location information of the target user by using a wearable beacon embedded with a magnetometer and inertial sensors. The shortcomings of beacon-signal stability and mismatch issues in magnetic-field sequences are overcome by adopting a hybrid, three-phase approach for deducing the locus of micro-activities and their associated zones in a smart home environment. The suggested approach is assessed in two different test environments, where the main intention is to map the location of a person performing an activity with pre-defined house landmarks and zones in the offline labeled database. In addition to the recognition of low-level activities, the proposed method also identifies the person's walking trajectory within the same zone or between different zones of the house. The experimental results demonstrate that it is possible to achieve centimeter-level accuracy for the recognition of micro-activities and to achieve the classification accuracy of 85% for trajectory prediction. These results are encouraging and imply that the collection of accurate low-level information for ADL recognition is possible using integration of inertial sensors, magnetic field and Bluetooth low energy (BLE) technologies from the wearable beacon without relying on other infrastructural sensors.

Quality of life in patients with limited (1-3) brain metastases undergoing stereotactic or whole brain radiotherapy : A prospective study of the DEGRO QoL working group.

PURPOSE: Published results of quality of life (QoL) studies mostly concern whole brain radiotherapy for limited or multiple brain metastases. This prospective multicentre study was designed to compare the QoL of patients with limited (1-3) brain metastases treated with either whole brain (WBRT) or stereotactic radiotherapy (SRT). METHODS: From 01/2007-03/2011, 90 limited brain metastases patients who were previously untreated (n = 77) or had undergone primary surgery (n = 13) were recruited at 14 centres in Germany and Austria. QoL was measured with the EORTC-QLQ-C15-PAL and BN20 brain modules before the start of radiotherapy and after 3 months. RESULTS: Fifty-two patients (58%) received WBRT and 38 (42%) received SRT. At 3 months, 67 patients (74%) were still living, and 92.6% of the 3­month survivors completed the second set of questionnaires. Analysis of the QLQ-C15-PAL and BN20 scales revealed significant deterioration in patients treated with WBRT and SRT in physical function (p < 0.001 and p = 0.007), fatigue (p < 0.001 and p = 0.036), nausea (p = 0.003 and p = 0.002), appetite loss (p < 0.001 and p = 0.025), drowsiness (p < 0.001 and p = 0.011), hair loss (p = 0.019 and p = 0.023) and itchy skin (p = 0.030 and p = 0.018). Motor dysfunction (p < 0.001), communication deficits (p = 0.002) and leg weakness (p < 0.001) declined significantly only in patients treated with WBRT. Comparing the two radiotherapy techniques over time, the results showed significant differences in symptom scores for future uncertainty, fatigue and appetite loss. CONCLUSIONS: QoL data as an outcome of the paper should be considered in decision making on the irradiation technique in patients with small number of brain metastases. Larger studies are required to verify the results according to subgroups.

The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study.

PURPOSE: Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival. METHODS: Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients' characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike's information criterion across imputations was used to evaluate the goodness of fit of our models. RESULTS: We included 3920 patients with a median age of 84 years (IQR: 81-87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83-8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3-6); IQCODE: 3.19 (3-3.69); ADL: 6 (4-6); Comorbidity and Polypharmacy score (CPS): 10 (7-14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.-1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14-1.17, p < 0.0001) and CFS (per point): 1.1 (1.05-1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model. CONCLUSION: We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.

Functional independence of elderly patients who fell: a follow-up study / La independencia funcional de ancianos que sufrieron una caída: estudio de seguimiento / Independência funcional de idosos que sofreram queda: estudo de seguimento

ABSTRACT Objective: to evaluate, in emergency hospital service and at home, the functional independence of elderly people who fell. Method: longitudinal study with 151 elderly. Functional Independence Measure (FIM) was used. Statistical tests were performed with univariate and bivariate analysis. Results: mean of total FIM value in the hospital was 70.4; and at home 84.3 (p <0.001). Independence was lower in the motor domain, in "self-care", "mobility" and "locomotion" dimensions, in the two evaluations (p <0.001). Dependence reduced from 97.3% elderly in the hospital to 82.8% at home (p <0.001). There was a negative correlation between total FIM and age, number of medications, number of diseases and hospitalization time in both evaluations. Femoral and hip fractures were associated with lower total FIM values (p <0.001). Conclusion: the elderly had less independence in the hospital compared to at home, with greater impairment in the motor domain and "self-care", "mobility" and "locomotion" dimensions, in the two moments evaluated.

RESUMEN Objetivo: evaluar, en el servicio hospitalario de urgencia y en el domicilio, la independencia funcional de ancianos que sufrieron una caída. Método: estudio longitudinal con 151 ancianos. Se utilizó la Medida de la Independencia Funcional (MIF). Se realizaron pruebas estadísticas con el análisis univariado y bivariado. Resultados: el promedio de la MIF total en el hospital fue 70,4; en el domicilio fue 84,3 (p<0,001). La independencia fue menor en el dominio motor, en las dimensiones "autocuidados", "movilidad" y "locomoción", en las dos evaluaciones (p<0,001). La dependencia disminuyó del 97,3% de los ancianos, en el hospital, al 82,8%, en el domicilio (p<0,001). Se observó una correlación negativa entre la MIF total y la edad, número de medicamentos, número de enfermedades y tiempo de internación en ambas las evaluaciones. Las fracturas de fémur y cadera se asociaron a menores valores de la MIF total (p<0,001). Conclusión: los ancianos presentaron menor independencia en el hospital en comparación con el domicilio, con más compromiso en el dominio motor y las dimensiones "autocuidados", "movilidad" y "locomoción" en los dos momentos evaluados.

RESUMO Objetivo: avaliar, em serviço hospitalar de urgência e no domicílio, a independência funcional de idosos que sofreram queda. Método: estudo longitudinal com 151 idosos. Utilizou-se a Medida da Independência Funcional (MIF). Foram realizados testes estatísticos com análise univariada e bivariada. Resultados: a média da MIF total no hospital foi 70,4; e no domicílio 84,3 (p<0,001). A independência foi menor no domínio motor, nas dimensões "autocuidados", "mobilidade" e "locomoção", nas duas avaliações (p<0,001). A dependência reduziu de 97,3% idosos, no hospital, para 82,8%, no domicílio (p<0,001). Houve correlação negativa entre MIF total e idade, número de medicamentos, número de doenças e tempo de internação em ambas as avaliações. As fraturas de fêmur e quadril associaram-se a menores valores da MIF total (p<0,001). Conclusão: os idosos apresentaram menor independência no hospital em comparação ao domicílio, com maior comprometimento no domínio motor e dimensões "autocuidados", "mobilidade" e "locomoção", nos dois momentos avaliados.

Functional independence of elderly patients who fell: a follow-up study.

OBJECTIVE: to evaluate, in emergency hospital service and at home, the functional independence of elderly people who fell. METHOD: longitudinal study with 151 elderly. Functional Independence Measure (FIM) was used. Statistical tests were performed with univariate and bivariate analysis. RESULTS: mean of total FIM value in the hospital was 70.4; and at home 84.3 (p <0.001). Independence was lower in the motor domain, in "self-care", "mobility" and "locomotion" dimensions, in the two evaluations (p <0.001). Dependence reduced from 97.3% elderly in the hospital to 82.8% at home (p <0.001). There was a negative correlation between total FIM and age, number of medications, number of diseases and hospitalization time in both evaluations. Femoral and hip fractures were associated with lower total FIM values (p <0.001). CONCLUSION: the elderly had less independence in the hospital compared to at home, with greater impairment in the motor domain and "self-care", "mobility" and "locomotion" dimensions, in the two moments evaluated.