Kirkkofoed0482

enia.PURPOSE Multimorbidity and frailty are complex conditions often present in older people. The aim of this study was to identify clusters of chronic diseases in robust and frail individuals and compare sociodemographic and health characteristics between these clusters. METHODS This cross-sectional study used information from electronic health records and a baseline assessment, which included the Timed Up and Go test of physical performance as a measure of frailty. Multiple correspondence and cluster analyses were performed to identify groups. RESULTS A total of 813 individuals (55.1% women; mean age 77.4 years, SD = 5.0) were studied. Frail individuals (n = 244) were older and had a poorer health status than robust individuals (n = 569). Three clusters were identified among the robust (RC1, n = 348; RC2, n = 139 and RC3, n = 82) and four among the frail individuals (FC1, n = 164; FC2, n = 23; FC3, n = 44 and FC4, n = 13). The RC1 and FC1 had a better health status (specifically, less polypharmacy, lower chronic disease burden and better self-perceived health) than RC2-RC3 and FC2-FC3-FC4, respectively. Diseases associated with mobility limitation and limb pain were more common in RC2 and FC2 than in the other clusters. Cardiovascular diseases and risk factors were more prevalent in RC3 and FC3. Among the frail a new cluster emerged, FC4, containing individuals with higher rates of cognitive and eye problems and a clearly poor health status. CONCLUSION This exploratory study may provide relevant information for the clinical management of older patients with multimorbidity, even though the chronic disease clusters identified were similar in robust and frail individuals.PURPOSE Since there is only limited evidence available for geriatric rehabilitation patients, this systematic review and meta-analysis aims to characterize the nutritional status in this population and its relationship with functionality. METHODS Eight databases were searched for full-text articles reporting baseline nutritional intake and status of adults ≥ 60 years in rehabilitation settings. Pooled estimates were calculated for prevalence of malnutrition and risk of malnutrition based on the Mini Nutritional Assessment (MNA) and for mean body mass index (BMI). Associations between nutritional status (MNA, MNA short form and BMI) and functional status (Barthel Index and Functional Independence Measure) and prevalence of sarcopenia were reviewed. RESULTS 62 out of 1717 references were eligible for inclusion. Pooled prevalence [95% confidence interval (CI)] of malnutrition and risk of malnutrition were 13 (5-20) % and 47 (40-54) %. Pooled estimate (95% CI) for BMI was 23.8 (23.2-24.5) kg/m2. Existing data suggest a risk for low protein and energy intake and vitamin D deficiency. https://www.selleckchem.com/products/phorbol-12-myristate-13-acetate.html Functional status differed widely. Seven out of ten studies reported significant associations between reduced nutritional status and reduced functionality, whilst two out of seven studies reported significant associations between higher BMI and functionality. Prevalence of sarcopenia was high with 40-76% in this population. CONCLUSIONS Although geriatric rehabilitation populations and settings were heterogeneous, a relevant percentage of geriatric rehabilitation patients were affected by a reduced nutritional status. Nutritional status was associated with decreased functionality. This emphasizes the need for screening for malnutrition and targeted nutritional intervention.PURPOSE Development and validation of a delirium risk assessment score. Predisposing risk factors for delirium were used, which are easily assessed at hospital admission without additional clinical or laboratory testing. METHODS A systematic literature search identified ten risk factors acute admission, alcohol use > 4 units/day, cognitive impairment, ADL impairment, age > 75 years, earlier delirium, hearing/vision problems, number of medication ≥ 5, number of morbidities > 2 and male. The DRAS was developed in a mixed patient population (N = 842) by the use of univariate and multivariate analyses and -2 log-likelihood calculation to weigh the risk factors. Based on the sensitivity and specificity, a cutoff score was calculated. The validation was performed in 3 cohorts (N = 408, N = 186, N = 365). In cohort 3, the DRAS was compared (AUC, sensitivity and specificity) to 3 instruments (Inouye, Kalisvaart, VMS rules). RESULTS The delirium incidence was 31.8%, 20.3%, 15.6% and 15.1%. All risk factors were independently predictive for delirium, except male. The multivariate analyses excluded morbidities. The final DRAS consists of 8 items; acute admission, cognitive impairment, alcohol use (3 points), ADLimpairment/mobilityproblems (2 points), higher age, earlier delirium, hearing/vision problems, and medication (1 point). The total score is 15 points and at a cut-of score of 5 or higher the patient is at risk of developing a delirium. The cutoff was at 5 or more points, AUC 0.76 (95% CI 0.72-0.79), sensitivity 0.77, specificity 0.60. Validation cohorts AUC was 0.75 (95% CI 0.96-0.81), 0.76 (95% CI 0.70-0.83) and 0.78 (95% CI 0.70-0.87), sensitivity 0.71, 0.67 and 0.89 and specificity 0.70, 0.72 and 0.60. The comparison revealed the highest AUC for the DRAS. CONCLUSION Based on an admission interview, the delirium risk can be easily evaluated using the DRAS shortlist score of predisposing risk factors for delirium in older inpatients.PURPOSE To assess the performance of peak expiratory flow (PEF) for sarcopenia screening in patients with chronic obstructive pulmonary disease (COPD), using the revised European Working Group on Sarcopenia in Older People (EWGSOP-2) criteria as the reference standard in pulmonary rehabilitation patients; and second, to study the factors associated with low PEF in this population. METHODS Diagnostic accuracy study conducted in consecutive community-dwelling COPD rehabilitation patients. Sensitivity, specificity, accuracy, likelihood ratios, predictive values, and area under the Receiver-Operating Characteristic curve were retrospectively calculated for PEF (index test) and compared with EWGSOP-2 criteria (reference standard). RESULTS Of 151 potentially eligible patients, 79 (67.5 ± 7.1 years; 78.8% men) fulfilled inclusion criteria and 10 (12.7%) had a diagnosis of sarcopenia. The PEF cut-off with highest accuracy (65.8%) was PEF ≤ 200 L/min (sensitivity 90%, specificity 62.3%, and positive and negative likelihood ratios 2.