Background Comprehensive geriatric assessment (CGA) has been in use for the last three decades. However, some doubts remain regarding its clinical use. Therefore, we aimed to capture the breadth of outcomes reported and assess the strength of evidence of the use of comprehensive geriatric assessment (CGA) for health outcomes in older persons. Methods Umbrella review of systematic reviews of the use of CGA in older adults searching in Pubmed, Embase, Scopus, Cochrane library and CINHAL until 05 November 2021. All possible health outcomes were eligible. Two independent reviewers extracted key data. The grading of evidence was carried out using the GRADE for intervention studies, whilst data regarding systematic reviews were reported as narrative findings. Results Among 1,683 papers, 31 systematic reviews (19 with meta-analysis) were considered, including 279,744 subjects. Overall, 13/53 outcomes were statistically significant (P < 0.05). There was high certainty of evidence that CGA reduces nursing home admission (risk ratio [RR] = 0.86; 95% confidence interval [CI]: 0.75–0.89), risk of falls (RR = 0.51; 95%CI: 0.29–0.89), and pressure sores (RR = 0.46; 95%CI: 0.24–0.89) in hospital medical setting; decreases the risk of delirium (OR = 0.71; 95%CI: 0.54–0.92) in hip fracture; decreases the risk of physical frailty in community-dwelling older adults (RR = 0.77; 95%CI: 0.64–0.93). Systematic reviews without meta-analysis indicate that CGA improves clinical outcomes in oncology, haematology, and in emergency department. Conclusions CGA seems to be beneficial in the hospital medical setting for multiple health outcomes, with a high certainty of evidence. The evidence of benefits is less strong for the use of CGA in other settings.
Introduction: 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 comprehens ive geriatric assessment; however, malnutrition still remains under-recognized and undermanaged. Our survey explored nutrition assessment approaches used in daily clinical practice by geriatricians across Europe. Methods: 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 Ageing (EAMA, 2017-2019 class).Results: 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. HighlightsNutritional assessment performed by geriatricians in clinical practice varies widely across European countries.
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 postacute 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 inhospital 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.