Background: Geriatric assessment upon admission may reveal factors that contribute to adverse outcomes in hospitalized older patients. The purposes of this study were to derive a Frailty Index (FI-PAC) from the interRAI Post-Acute Care instrument (interRAI-PAC) and to analyse the predictive ability of the FI-PAC and interRAI scales for hospital outcomes. Methods: This retrospective cohort study was conducted by combining patient data from interRAI-PAC with discharge records from two post-acute care hospitals. The FI-PAC was derived from 57 variables that fulfilled the Frailty Index criteria. Associations of the FI-PAC and interRAI-PAC scales (ADLH for activities of daily living, CPS for cognition, DRS for mood, and CHESS for stability of health status) with hospital outcomes (prolonged hospital stay ≥90 days, emergency department admission during the stay, and in-hospital mortality) were analysed using logistic regression and ROC curves. Results: The cohort included 2188 patients (mean age (SD) 84.7 (6.3) years) who were hospitalized in two post-acute care hospitals. Most patients (n = 1691, 77%) were discharged and sent home. Their median length of stay was 35 days (interquartile range 18–87 days), and 409 patients (24%) had a prolonged hospital stay. During their stay, 204 patients (9%) were admitted to the emergency department and 231 patients (11%) died. The FI-PAC was normally distributed (mean (SD) 0.34 (0.15)). Each increase of 0.1 point in the FI-PAC increased the likelihood of prolonged hospital stay (odds ratio [95% CI] 1.91 [1.73─2.09]), emergency admission (1.24 [1.11─1.37]), and in-hospital death (1.82 [1.63─2.03]). The best instruments for predicting prolonged hospital stay and in-hospital mortality were the FI-PAC and the ADLH scale (AUC 0.75 vs 0.72 and 0.73 vs 0.73, respectively). There were no differences in the predictive abilities of interRAI scales and the FI-PAC for emergency department admission. Conclusions: The Frailty Index derived from interRAI-PAC predicts adverse hospital outcomes. Its predictive ability was similar to that of the ADLH scale, whereas other interRAI-PAC scales had less predictive value. In clinical practice, assessment of functional ability is a simple way to assess a patient’s prognosis.

Malnutrition and nutrition-related diseases are associated with hospital admissions, disability, institutionalization, and mortality in older people. Specialists in Geriatric Medicine and nutrition evaluate nutritional status as part of the comprehensive geriatric assessment; however, malnutrition still remains under-recognized and under-managed. Our survey explored nutrition assessment approaches used in daily clinical practice by geriatricians across Europe. A 19-item survey on methods and instruments for malnutrition assessment in geriatric settings, and details of any national guidelines, was sent to 40 postgraduate fellows of the European Academy of Medicine of Aging (EAMA, 2017-2019 class). Thirty-six of the 40 eligible EAMA participants, representing 14 European countries, responded. In clinical practice, MNA and MNA-SF were most frequently used for screening (44.1%, 52.9%, respectively) and diagnosing (45.7%, 40.0%) malnutrition. Weight loss (n = 36, 100%), body mass index (n = 30, 85.7%), and low energy/food intake (n = 27, 77.1%) were the most frequent clinical variables considered. The absolute and relative amount of weight loss, and over what time period, varied widely. These routinely considered clinical factors contribute to validated GLIM, ASPEN-AND and ESPEN criteria for diagnosis of malnutrition, but these criteria were seldom used (GLIM = 0%, ASPEN = 0%; n = 9, ESPEN = 25.7%). National guidelines were available in 9 of the 14 countries, and generally recommended MNA and MNA-SF for community-dwelling and hospitalized older patients. Albumin was often suggested as a nutritional marker. Nutritional assessment is systematically performed in geriatrics; but differs widely among geriatricians and countries. Harmonizing guidelines with the new international consensus might provide best-evidence care for older people across Europe.

Purpose: We compared the performance of SARC-F, SARC-CalF, calf circumference (CC), and body mass index (BMI)-adjusted CC for sarcopenia case-finding in community-dwelling older adults. Methods: Data of Finnish participants (women/men n = 192/36, mean age (SD) of 76.9 (4.8) years) recruited in the SPRINTT trial (NCT02582138) were used. Sarcopenia was determined as a combination of low muscle function (chair-stand-test) and low appendicular lean mass (ALM) detected by whole-body dual-energy X-ray absorptiometry. Associations of case-finding tools with sarcopenia were analysed using ROC curves and logistic regression. Results: The rates of probable and confirmed sarcopenia were 95% and 18% in women and 94% and 36% in men, respectively. Performance of CC for sarcopenia (women AUC 0.85 [95% CI 0.78–0.92]/ men 0.85 [95% CI 0.71–1.0]) was superior to that of other tools; (AUC in women/men for SARC-F was 0.57/0.50, for SARC-CalF 0.76/0.79, and for BMI-adjusted CC 0.68/0.66). The best performance was found for a CC cut-off point of ≤ 34 cm in women with sensitivity/specificity 82.4/75.3% and ≤ 36 cm in men with sensitivity/specificity 76.9/87.0%. For each cm decrease in CC, adjusted for age and BMI, there was a 30% increase in the odds of sarcopenia in women (OR 1.30, 95% CI 1.09─1.56). Although there was a similar pattern in men, the results did not reach statistical significance (OR 1.34, 95% CI 0.84- 2.14). Conclusions: CC was superior to other tools for sarcopenia case-finding. The best performance was found for a CC cut-off point of ≤ 34 cm in women and ≤ 36 cm in men.

Malnutrition is common in older adults, and its risk is greater in those living with dementia. Relative to cognitively healthy peers, the prevalence of malnutrition is also increased in individuals with early stages of cognitive disorders owing to pathophysiological, cognitive, and psychosocial changes related to cognitive impairment. Malnutrition is associated with adverse health outcomes, including faster cognitive and functional decline. Here, we provide an overview of the prevention, assessment, and management of malnutrition in older adults, with a special focus on the aspects that are important to consider in individuals with early stages of cognitive disorders. Strategies to prevent malnutrition include systematic screening for malnourishment using validated tools to detect those at risk. If the screening reveals an increased risk of malnutrition, a detailed assessment including the individual’s nutritional, medical, and functional status as well as dietary intake should be performed. The management of malnutrition in the early stages of cognitive disorders should be based on the findings of a comprehensive assessment and be personalized according to the individual’s specific characteristics. In the article, we also provide an overview of the evidence on vitamin supplements and specific dietary patterns to prevent cognitive decline or attenuate its progression.

Dementia is a major cause of poor quality of life, disability, and mortality in old age. According to the geroscience paradigm, the mechanisms that drive the aging process are also involved in the pathogenesis of chronic degenerative diseases, including dementia. The dissection of such mechanisms is therefore instrumental in providing biological targets for interventions and new sources for biomarkers. Within the geroscience paradigm, several biomarkers have been discovered that can be measured in blood and that allow early identification of individuals at risk of cognitive impairment. Examples of such markers include inflammatory biomolecules, markers of neuroaxonal damage, extracellular vesicles, and DNA methylation. Furthermore, gait speed, measured at a usual and fast pace and as part of a dual task, has been shown to detect individuals at risk of future dementia. Here, we provide an overview of available biomarkers that may be used to gauge the risk of cognitive impairment in apparently healthy older adults. Further research should establish which combination of biomarkers possesses the highest predictive accuracy toward incident dementia. The implementation of currently available markers may allow the identification of a large share of at-risk individuals in whom preventive interventions should be implemented to maintain or increase cognitive reserves, thereby reducing the risk of progression to dementia.

Purpose: To identify risk factors for readmission after geriatric hospital care. Methods: A retrospective cohort study of 1,167 community-dwelling patients aged >= 70 years who were hospitalised in two geriatric hospitals and discharged to their homes over a three-year period. We combined the results of the interRAI-post acute care instrument (interRAI-PAC) with hospital discharge records. Factors associated with readmissions within 90 days following discharge were analysed using logistic regression analysis. Results: The patients' mean age was 84.5 (SD 6.2) years, and 71% (n = 827) were women. The 90-day readmission rate was 29.5%. The risk factors associated with readmission in the univariate analysis were as follows: age, admission from home vs. acute care hospital, Alzheimer's disease, unsteady gait, fatigue, unstable conditions, Activities of Daily Living Hierarchy Scale (ADLH) score, Cognitive Performance Scale (CPS) score, body mass index (BMI), frailty index, bowel incontinence, hearing difficulties, and poor self-rated health. In the multivariable analysis, age of >= 90 years, ADLH >= 1, unsteady gait, BMI = 30 kg/m(2), and frailty remained as risk factors for readmission. Surgical operation during the treatment period was associated with a lower readmission risk. Conclusions and implications: InterRAI-PAC performed upon admission to geriatric hospitals revealed patient-related risk factors for readmission. Based on the identified risk factors, we recommend that the patient's functional ability, activities of daily living (ADL) needs, and individual factors underlying ADL disability, as well as nutritional and mobility problems should be carefully addressed and managed during hospitalization to diminish the risk for readmission.