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Introduction: Sarcopenia is highly prevalent in geriatric rehabilitation inpatients; screening using the Strength, Assistance in walking, Rise from a chair, Climb stairs, Falls history questionnaire (SARC-F) has been recommended. This study assessed the diagnostic accuracy of the SARC-F in identifying sarcopenia according to the European Working Group on Sarcopenia in Older People (EWGSOP), EWGSOP2, and Asian Working Group for Sarcopenia (AWGS) definitions in geriatric rehabilitation inpatients. Methods: REStOring health of acutely unwell adulTs (RESORT) is an observational, longitudinal cohort of geriatric rehabilitation inpatients. The SARC-F was completed for 2 time-points, status at preadmission (1 month before admission) and at admission; a score ≥4 was considered at risk for sarcopenia. Muscle mass (bioelectrical impedance analysis), handgrip strength (handheld dynamometry), and gait speed (4-m walk test) were measured at admission. Diagnostic accuracy was determined by sensitivity, specificity, and area under the curve (AUC). Results: The sarcopenia prevalence (n = 290, median age 84.0 years [IQR 79.0–89.0], 56.9% female) was 40.3% (EWGSOP1), 25.4% (EWGSOP2), and 38.8% (AWGS). For preadmission and admission status, respectively, the SARC-F identified 67.9 and 82.1% (EWGSOP), 66.0 and 81.0% (EWGSOP2), and 67.5 and 81.6% (AWGS) inpatients at risk for sarcopenia. The SARC-F showed fair sensitivity (67–74%), poor specificity (32–37%), and poor AUC (0.411–0.474) to identify inpatients at risk for sarcopenia at preadmission status, and fair-good sensitivity (79–84%), poor specificity (17–20%), and poor AUC (0.401–0.432) to identify inpatients at risk for sarcopenia at admission, according to EWGSOP, EWGSOP2, and AWGS definitions. Conclusion: The SARC-F showed poor diagnostic accuracy in identifying sarcopenia in geriatric rehabilitation inpatients. Assessment of sarcopenia is recommended without screening.

© 2021 The AuthorsObjectives: This study aimed to describe objectively measured physical activity and sedentary behavior in geriatric rehabilitation patients receiving care in the home-based compared to the hospital-based setting. Design: Observational matched cohort study. Setting and Participants: Home-based (patient's home) or hospital-based (ward) geriatric rehabilitation was delivered to inpatients within the REStORing health of acutely unwell adulTs (RESORT) observational, longitudinal cohort of the Royal Melbourne Hospital (Melbourne, Victoria, Australia). Methods: Patients were asked to wear ActivPAL4 accelerometers for 1 week and were assessed by a comprehensive geriatric assessment at admission, discharge, and followed up after 3 months. Hospital-based patients were matched to home-based patients for sex and baseline physical function [Short Physical Performance Battery (SPPB), activities (instrumental) of daily living, and Clinical Frailty Scale]. Differences in patient characteristics and physical activity (total, standing and walking durations, number of steps and sit-to stand transitions) and sedentary behavior (total, sitting and lying durations) were assessed. Results: A total of 159 patients were included: 18 home-based [mean age: 81.9 ± 8.6 years, 38.9% female, median (interquartile range [IQR]) SPPB: 7.0 (5.0-9.0)] and 141 hospital-based [mean age: 82.9 ± 7.8 years, 57.4% female, median (IQR) SPPB: 1.0 (0.0-4.0)] patients, of whom 18 were matched [mean age: 80.1 ± 7.4 years, 38.9% female, median (IQR) SPPB: 6.5 (4.8-10.0)]. Median physical activity measures were consistently higher in home-based patients compared to the total group of hospital-based patients. After matching, physical activity measures remained >2.4 times higher and were significantly different for all measures (total physical activity, standing and walking durations, and steps) except for sit-to-stand transitions. Sedentary behaviors were similar with home-based patients spending non-significantly more time sitting but significantly less time lying than hospital-based patients (matched and total). Conclusions and Implications: Home-based inpatients are more physically active than hospital-based inpatients independent of matching for sex and baseline physical function, which supports home-based geriatric rehabilitation.

To identify assessment tools and patient factors statistically associated with discharge destination in general medical inpatients. A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines. Four electronic databases were searched. Studies were eligible if they were a quantitative study design, had adult acute general medical inpatients and published in English. Outcomes of interest were tools or factors with statistical correlations with discharge destination (home, subacute or residential care). Articles were screened by two independent assessors. Data were extracted by one reviewer and independently checked by a second reviewer. Data were analysed/described descriptively. Twenty-three studies were included. Twenty-three tools and 44 factors were identified, which spanned Health Condition, Body Structure and Function, Activity, Participation, Environment and Personal concepts of the World Health Organisation International Classification of Function, Disability and Health (WHO ICF). The large number of tools and factors found and their distribution across several WHO ICF concepts exemplifies the complexities of predicting discharge. No single assessment tool that best predicts discharge destination was identified, but rather there were a variety of potential tools identified. Further research is needed to determine the psychometric properties of the identified assessment tools as well as additional predictors of subacute care (including rehabilitation). This is important as it may allow for timely clinical decision making. A priori, PROSPERO (CRD42017064209).IMPLICATIONS FOR REHABILITATIONThis systematic review identified a large number of assessment tools and patient factors associated with discharge destination (home, subacute and residential care) in general medical inpatients.All of the domains of the WHO ICF framework are associated with discharge destination and must be considered.Clinicians in the acute setting can use these findings to assist selection of assessment tools to identify patients likely to need rehabilitation or subacute care.Early identification of patients who are unable to return to their place of residence is essential as it allows for provision of early rehabilitation and subsequent discharge planning. This systematic review identified a large number of assessment tools and patient factors associated with discharge destination (home, subacute and residential care) in general medical inpatients. All of the domains of the WHO ICF framework are associated with discharge destination and must be considered. Clinicians in the acute setting can use these findings to assist selection of assessment tools to identify patients likely to need rehabilitation or subacute care. Early identification of patients who are unable to return to their place of residence is essential as it allows for provision of early rehabilitation and subsequent discharge planning.

Background and purpose General medical patients often present to the hospital with medical, social, cognitive, and functional issues that may impact discharge destination. The aim of this study was to investigate the association between patient factors at hospital admission and discharge destination in general medical patients. Methods This was a prospective, single-site observational study conducted on the general medical wards at a tertiary hospital. Inpatients admitted to the general medical unit and referred to physical therapy were included. Patients admitted from residential care were excluded. Main outcome measures Data were collected a median of 2 days (interquartile range: 1-3) from hospital admission and included demographics, comorbidities (Charlson Comorbidity Index), premorbid physical function (Blaylock Risk Assessment Screening Score, BRASS), current function (de Morton Mobility Index, DEMMI and Alpha Functional Independence Measure, AlphaFIM), and cognition (Rowland Universal Dementia Assessment Scale, RUDAS). Results Between July 2016 and August 2017, 417 patients were recruited (53% female, median age: 81 years (interquartile range: 76-86). Of these, 245 patients were discharged directly home; 172 were not discharged home of whom 140 were discharged to a subacute temporary facility providing further opportunity for therapy and discharge planning. Patients discharged directly home had higher functional, mobility, and cognitive scores. Data were partitioned into training, validation, and test sets to provide unbiased estimates of sensitivity, specificity, receiver operating characteristic curve, and area under the curve. Models best associated with discharge were "DEMMI and toilet transfers" (sensitivity 82.1%, specificity 66.2%, area under the curve 83.8%, 95% confidence interval: 76.4-91.2) and "AlphaFIM and walking independence" (sensitivity: 66.7%, specificity: 83.1%, area under the curve: 81.5, 95% confidence interval: 73.2-89.7). Conclusion Two models were created that differentiated between discharge home and not home and had similar statistical measures of validity. Although the models require further validation, clinicians should consider whether identification of patients likely to be discharged home or not home is of greater relevance for their clinical setting.

Background: Physical inactivity in hospitalized older adults is highly prevalent and associated with detrimental health outcomes. Understanding its determinants is important for prognosis and tailoring interventions in geriatric rehabilitation inpatients. Methods: Within the REStORing health of acutely unwell adulTs (RESORT) observational, longitudinal cohort, geriatric rehabilitation inpatients wore an inertial sensor (ActivPAL4) for one week to objectively assess instrumented sedentary behavior (i-SB) and physical activity (i-PA). Determinants were grouped in five geriatric domains: morbidity, cognition/psychology, physical performance, functional performance, and nutritional status. Their association with i-SB (mean sitting, lying, non-upright time) and i-PA (mean number of steps, sit-to-stand transitions and upright time) quintiles were examined using multivariate ordinal logistic regression analyses with Bonferroni correction (p < 0.006). Results: A total of 145 inpatients were included (mean age 83.0, SD 7.7 years; 55.9% females). More comorbidities were associated with a lower daily number of steps (OR:0.91, 95%CI: 0.86–0.96) and lower upright time (OR:0.93, 95%CI: 0.88–0.98). Depressive symptoms (higher Hospital Anxiety and Depression Scale score) were associated with higher non-upright time (OR: 1.12, 95%CI: 1.03–1.21) and lower upright time (OR: 0.89, 95%CI: 0.83–0.96). Better physical performance (higher Functional Ambulation Classification, gait speed, and Short Physical Performance Battery score) was associated with lower i-SB measures (OR range: 0.07–0.78, p < 0.0005) and higher i-PA measures (OR range: 1.35–19.50, p < 0.0005). Higher functional performance (Katz index of Activities of Daily Living score) was associated with lower i-SB measures (OR range: 0.61–0.69, p ≤ 0.003) and higher i-PA measures (OR range: 1.60–3.64, p < 0.0005). Being malnourished was associated with lower i-PA measures (OR range: 0.29–0.32, p ≤ 0.004). Conclusions: Worse morbidity, depressive symptoms, worse physical and functional performance, and worse nutritional status were associated with higher i-SB and lower i-PA. These determinants should be taken into account while designing and promoting multidisciplinary physical activity interventions.