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Aims: Frailty among cardiac rehabilitation (CR) participants is associated with worse health outcomes. However, no literature synthesis has quantified the relationship between frailty and CR outcomes. The purpose of this study was to examine frailty prevalence at CR admission, frailty changes during CR, and whether frailty is associated with adverse outcomes following CR., Methods and Results: We searched CINAHL, EMBASE, and MEDLINE for studies published from 2000 to 2023. Eligible studies included a validated frailty measure, published in English. Two reviewers independently screened articles and abstracted data. Outcome measures included admission frailty prevalence, frailty and physical function changes, and post-CR hospitalization and mortality. Observational and randomized trials were meta-analysed separately using inverse variance random-effects models. In total, 34 peer reviewed articles (26 observational, 8 randomized trials; 19 360 participants) were included. Admission frailty prevalence was 46% [95% CI 29-62%] and 40% [95% CI 28-52%] as measured by Frailty Index and Kihon Checklist (14 studies) and Frailty Phenotype (11 studies), respectively. Frailty improved following CR participation (standardized mean difference (SMD): 0.68, 95% CI 0.37-0.99; P < 0.0001; six studies). Meta-analysis of observational studies revealed higher admission frailty and increased participants' risk of all-cause mortality (hazard ratio: 9.24, 95% CI 2.93-29.16; P = 0.0001; four studies). Frailer participants at admission had worse physical health outcomes, but improved over the course of CR., Conclusion: High variability in frailty tools and CR designs was observed, and randomized controlled trial contributions were limited. The prevalence of frailty is high in CR and is associated with greater mortality risk; however, CR improves frailty and physical health outcomes., Registration: PROSPERO: CRD42022311765., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

There are growing numbers of older people with inflammatory bowel diseases [IBD]. These older patients are more likely to have other comorbidities and polypharmacy, which can make recognizing and treating IBD complex. Frailty is a newer concept in the IBD field, and we are beginning to recognize the importance of this as a marker of biological age and its association with risk of adverse IBD-related outcomes. In this review article we aim to provide practical insight into the specific challenges facing older patients and their clinicians at each stage of the patient journey. We also discuss the latest understanding of the impact of frailty for these patients with IBD and highlight areas for future research., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Crohn’s and Colitis Organisation.)

Background: Tight control of type 2 diabetes (T2DM) in frail older adults has shown to be associated with adverse outcomes. The objective of this study is to determine the prevalence of tight glycemic control based on underlying frailty status and its association with functional and cognitive measures in community-dwelling older adults., Methodology: Ancillary study of the Singapore Population Health Studies on older adults aged ≥65 years with T2DM. Tight glycemic control cut-offs were based on the 2019 Endocrine Society guideline using HbA1c target range based on a patient's overall health status measured by the FRAIL scale. Data on basic demographics, frailty, cognitive, and functional statuses were collected. Multivariable regression was used to assess potential factors associated with tight glycemic control., Results: Of 172 community-dwelling older adults with diabetes mellitus and HbA1c done, frail (65%) and pre-frail (64.4%) participants were more likely to have tight glycemic control than robust participants (31.6%, P < 0.001). In multi-variate analysis, frailty (OR 6.43, 95% CI 1.08-38.1, P = 0.041), better cognition (OR 1.15, 95% CI 1.02-1.32, P = 0.028), and multi-morbidity (OR 7.36, 95% CI 1.07-50.4, P = 0.042) were found to be significantly associated with increased odds of tight glycemic control., Conclusion: Tight glycemic control was highly prevalent in frail and pre-frail older adults, especially in those with multi-morbidity and better cognition. Future prospective longitudinal studies are required to evaluate effectiveness of frailty screening in making treatment decisions and long-term outcomes. Key messages What is already known on this topic:  There is growing recognition that glycemic targets should be adjusted based on health or frailty status. However, there is no consensus on how health status or frailty should be defined when determining glycemic control targets. What this study adds:  Our study found that tight glycemic control was highly prevalent in frail and pre-frail older adults. Our findings highlight the importance of assessing for tight glycemic control based on frailty status and further work is needed to aid implementation of screening and intervention policies to avoid the attendant harms of tight glycemic control., (© The Author(s) 2024. Published by Oxford University Press on behalf of Fellowship of Postgraduate Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Frailty is a dynamic syndrome characterized by reduced physiological reserve to maintain homeostasis. Prospective studies have reported frailty worsening in women with breast cancer during chemotherapy, with improvements following treatment. We evaluated whether the Faurot frailty index, a validated claims-based frailty measure, could identify changes in frailty during chemotherapy treatment and identified predictors of trajectory patterns., Methods: We included women (65+ years) with stage I-III breast cancer undergoing adjuvant chemotherapy in the SEER-Medicare database (2003-2019). We estimated the Faurot frailty index (range: 0-1; higher scores indicate greater frailty) at chemotherapy initiation, 4 months postinitiation, and 10 months postinitiation. Changes in frailty were compared to a matched noncancer comparator cohort. We identified patterns of frailty trajectories during the year following chemotherapy initiation using K-means clustering., Results: Twenty-one thousand five hundred and ninety-nine women initiated adjuvant chemotherapy. Mean claims-based frailty increased from 0.037 at initiation to 0.055 4 months postchemotherapy initiation and fell to 0.049 10 months postinitiation. Noncancer comparators experienced a small increase in claims-based frailty over time (0.055-0.062). We identified 6 trajectory patterns: a robust group (78%), 2 resilient groups (16%), and 3 nonresilient groups (6%). Black women and women with claims for home hospital beds, wheelchairs, and Parkinson's disease were more likely to experience nonresilient trajectories., Conclusions: We observed changes in a claims-based frailty index during chemotherapy that are consistent with prior studies using clinical measures of frailty and identified predictors of nonresilient frailty trajectories. Our study demonstrates the feasibility of using claims-based frailty indices to assess changes in frailty during cancer treatment., (© The Author(s) 2024. Published by Oxford University Press.)

Background: The World Falls Guidelines (WFG) propose an algorithm that classifies patients as low-, intermediate-, and high-risk. We evaluated different operationalizations of the WFG algorithm and compared its predictive performance to other screening tools for falls, namely: the American Geriatrics Society and British Geriatrics Society (AGS/BGS) algorithm, the 3KQ on their own and fall history on its own., Methods: We included data from 1509 adults aged ≥65 years from the population-based Longitudinal Aging Study Amsterdam. The outcome was ≥1 fall during 1-year follow-up, which was ascertained using fall calendars. The screening tools' items were retrospectively operationalized using baseline measures, using proxies where necessary., Results: Sensitivity ranged between 30.9-48.0% and specificity ranged between 77.0-88.2%. Operationalizing the algorithm with the 3KQ instead of fall history yielded a higher sensitivity but lower specificity, whereas operationalization with the Clinical Frailty Scale (CFS) classification tree instead of Fried's frailty criteria did not affect predictive performance. Compared to the WFG algorithm, the AGS/BGS algorithm and fall history on its own yielded similar predictive performance, whereas the 3KQ on their own yielded a higher sensitivity but lower specificity., Conclusion: The WFG algorithm can identify patients at risk of a fall, especially when the 3KQ are included in its operationalization. The CFS and Fried's frailty criteria may be used interchangeably in the algorithm's operationalization. The algorithm performed similarly compared to other screening tools, except for the 3KQ on their own, which have higher sensitivity but lower specificity and lack clinical recommendations per risk category., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background: Loneliness is described as the subjective experience of unfulfilled personal and social needs, with emotional and social domains. Frailty is a state of vulnerability to stressors, which is often characterised by impairment in the physical, psychological and/or social domain., Objective: This study aims to examine the bidirectional association between loneliness and frailty across the different domains., Methods: The study included 1735 older adults from the Urban Health Centres Europe project. Loneliness was assessed using the six-item De Jong Gierveld Loneliness Scale. Frailty was assessed by the Tilburg Frailty Indicator. Multivariate linear regression and cross-lagged panel models were used to explore the associations between the social and emotional loneliness dimensions and overall, physical, psychological and social frailty., Results: A bidirectional association existed between overall loneliness and overall frailty (loneliness to frailty: β = 0.09, 95% CI: 0.03, 0.15; frailty to loneliness: β = 0.05, 95% CI: 0.004, 0.10). Higher levels of overall loneliness at baseline were associated with higher levels of psychological frailty at follow-up (β = 0.05, 95% CI: 0.00, 0.10). The reverse association was not significant. A bidirectional association existed between overall loneliness and social frailty (loneliness to social frailty: β = 0.05, 95% CI: 0.01, 0.10; social frailty to loneliness: β = 0.05, 95% CI: 0.00, 0.09)., Conclusion: This study confirms the importance of addressing loneliness among older adults. Interventions that increase social support, exercise engagement and promote healthy behaviours may be effective in reducing the risk of frailty among older adults and simultaneously preventing loneliness., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Design: An observational cohort study conducted at a tertiary referral center for aortic surgery to describe the medical and surgical characteristics of patients assessed for abdominal aortic aneurysm repair and examine associations with 12-month outcome., Methods: Patients with aortic aneurysms referred for discussion at the aortic multidisciplinary meeting (MDM). Data were collected via a prospectively maintained clinical database and included aneurysm characteristics, patient demographics, co-morbidities, geriatric syndromes, including frailty, management decision and 12-month mortality, both aneurysm-related and all-cause including cause of death. The operative and non-operative groups were compared statistically., Results: 621 patients referred to aortic MDM; 292 patients listed for operative management, 141 patients continued on surveillance, 138 patients for non-operative management. There was a higher 12-month mortality rate in the non-operative group compared to the operative group (41% vs 7%, P = <0.001). In the non-operative group, 16 patients (29%) died of aneurysm rupture within 12 months, with 39 patients (71%) dying from other medical causes. Non-operatively managed patients were older, more likely to have cardiac and respiratory disease and more likely to be living with frailty, cognitive impairment and functional limitation, compared to the operative group., Conclusion: This study shows that preoperative geriatric syndromes and increased comorbidity lead to shared decision to non-operatively manage asymptomatic aortic aneurysms. Twelve-month mortality is higher in the non-operative group with the majority of deaths occurring due to cause other than aneurysm rupture. These findings support the need for preoperative comprehensive geriatric assessment followed by multispecialty discussion and shared decision making., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background/aims: While previous studies suggest that light-to-moderate alcohol consumption may reduce the frailty risk, the dose-response relationship is still under question. To address the knowledge gap, we conducted a systematic review and dose-response meta-analysis of cohort studies to examine the association of alcohol consumption with the risk of both prefrailty and frailty in adults., Methods: We searched MEDLINE (Ovid), PubMed and Scopus to identify relevant cohort studies published before 8 May 2024. The dose-response meta-analysis was performed to investigate the associations between alcohol drinking and the risk of developing pre-frailty and frailty. We used random-effects models to calculate pooled relative risks (RR) with 95% CIs., Results: We included nine cohort studies with 64 769 participants and 15 075 cases, of which eight studies were rated to have a serious risk of bias as assessed by the ROBINS tool. Based on our analysis, each 12 g increase in alcohol intake did not appear to be associated with risks of prefrailty (RR: 1.08, 95% CI 0.89, 1.31; I2 = 91%, n = 3; GRADE = very low) and frailty (RR: 0.94, 95% CI 0.88, 1.00; I2 = 63%, n = 9; GRADE = low). The nonlinear dose-response meta-analysis indicates a slight inverse association with frailty risk up to an alcohol intake of 20 grams per day, beyond which an upward trend is observed., Conclusion: The inverse association found between moderate alcohol consumption and frailty risk appears to be stronger among older adults, which might be due to the lower and less popular alcohol consumption among older people than the general population. However, because this finding is based on low-quality evidence, more research is needed to develop specific dietary recommendations for alcohol consumption, particularly among young people., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Frailty Index (FI) reflects health, functioning and well-being of older people. It is valuable to compare how frailty has changed over time in ageing cohorts. This study aims to examine trends in frailty among 75-95-year-old men and women over three decades., Methods: The Helsinki Ageing Study started in 1989 and includes repeated cross-sectional postal surveys every 10 years examining community-dwelling cohorts of older people (75, 80, 85, 90 and 95 years). FI comprises the same 36 items in each cohort., Results: The mean FI was 0.22 (SD 0.12), 0.25 (SD 0.15), 0.26 (SD 0.15) and 0.23 (SD 0.15) in 1989, 1999, 2009 and 2019, respectively (P for linearity for crude values .11). Adjusted for age and sex, the four cohorts differed in their frailty the 2019 cohort having the lowest FI. This sex-adjusted difference was seen among 75-, 80-, 85- and 90-year-olds but not among 95-year-olds. FI decreased more among men than women (P for cohort <.001, P for sex <.01, P for interaction = .19)., Conclusions: The prevalence of frailty among community-dwelling individuals aged 75, 80, 85 and 90 years-but not among those aged 95 years-has significantly decreased over the last decades. This positive trend may have important implications for health policies in societies with increasing longevity., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Introduction: Due to the increasing number of older patients in emergency departments (EDs) with frailty, cognitive impairment and multimorbidity, there is a need for geriatric expertise in EDs., Methods: This retrospective study is of older patients visiting Turku University Hospital ED between 2 January and 31 December 2022. Patients aged 75 years of older were screened for frailty using Triage Risk Screening Tool (TRST) and Clinical Frailty Scale (CFS). Nonacute, frail patients (CFS ≥4) suitable for Targeted Geriatric Assessment (TGA) (n = 1096) were scanned for the risk of delirium, cognitive impairment, change in functional status, falls, malnutrition and depression. A comprehensive patient record was made with recommendations for future care., Results: TRST was completed in 70% of the ED visits, and two-thirds of those were considered high-risk. Among the patients assessed by the geriatric team (TGA), nonspecific complaint (38%) and falls (35%) were the main reasons for ED admission. Cognitive impairment was present in over 60% and orthostatic hypotension in 40% of the patients. The 72-hour revisit rate for TGA-patients was 2.3%. For the real-life control group, the 72-hour revisit rate was 4.6% (P = .001). Thirty-day revisit rates were 10% and 16%, respectively (P < .001). The need for rehabilitation, cognitive evaluation and intensifying home care were the main recommendations for future care., Conclusions: TGA approach provides structured and accurate information on older patients' background. This may lead to more precise diagnostics, a thorough consideration of hospital intake and a secure discharge from the ED. Ensuring continuity of care may help to reduce readmissions to EDs., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background: It has been hypothesised that frailty is the root cause of clinically observed but rarely systematically measured unstable disability among older adults. In this study, we measure the extent of short-term disability fluctuations and estimate their association with frailty using intensive longitudinal data., Methods: Repeated measurements of disability were collected under a measurement burst design in the FRequent health Assessment In Later life (FRAIL70+) study. A total of 426 community-dwelling older adults (70+) in Austria were interviewed about difficulties with basic, instrumental and mobility-related activities of daily living biweekly up to a total of 14 times in two measurement bursts (2891 and 2192 observations). Baseline frailty was assessed with both physical frailty (FP) and the frailty index (FI). Disability fluctuations were measured with the intra-individual interquartile range (iIQR) and estimated with a two-step generalised mixed regression procedure., Results: Fewer participants were frail at baseline according to FP (11%) than FI (32%). Frail study participants reported not only more severe disability but also had more short-term disability fluctuations (iIQR = 1.0-1.5) compared with their robust counterparts (iIQR = 0). Regression models indicated that baseline frailty was associated with 2-3 times larger short-term disability fluctuations, which were also more prevalent among women, and increased with age and disability severity., Conclusion: Compared with those who were robust, frail older adults were characterised by not only more severe but also more unstable disability. Short-term disability fluctuations are closely tied to disability severity. Future studies should assess both stressors that may cause disability fluctuations among frail older adults as well as their potential consequences to inform frailty-centred care., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Objective: The surgical population is ageing and often frail. Frailty increases the risk for poor post-operative outcomes such as delirium, which carries significant morbidity, mortality and cost. Frailty is often measured in a binary manner, limiting pre-operative counselling. The goal of this study was to determine the relationship between categorical frailty severity level and post-operative delirium., Methods: We performed an analysis of a retrospective cohort of older adults from 12 January 2018 to 3 January 2020 admitted to a tertiary medical center for elective surgery. All participants underwent frailty screening prior to inpatient elective surgery with at least two post-operative delirium assessments. Planned ICU admissions were excluded. Procedures were risk-stratified by the Operative Stress Score (OSS). Categorical frailty severity level (Not Frail, Mild, Moderate, and Severe Frailty) was measured using the Edmonton Frail Scale. Delirium was determined using the 4 A's Test and Confusion Assessment Method-Intensive Care Unit., Results: In sum, 324 patients were included. The overall post-operative delirium incidence was 4.6% (15 individuals), which increased significantly as the categorical frailty severity level increased (2% not frail, 6% mild frailty, 23% moderate frailty; P < 0.001) corresponding to increasing odds of delirium (OR 2.57 [0.62, 10.66] mild vs. not frail; OR 12.10 [3.57, 40.99] moderate vs. not frail)., Conclusions: Incidence of post-operative delirium increases as categorical frailty severity level increases. This suggests that frailty severity should be considered when counselling older adults about their risk for post-operative delirium prior to surgery., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Aimed to compare the prevalence, characteristics, and associated mortality risk of frailty in Northern Ireland (NI) and the Republic of Ireland (ROI)., Methods: Secondary analysis of the first wave of two nationally representative cohorts, the Northern Ireland Cohort for the Longitudinal Study of Ageing or NICOLA study (N = 8504) and the Irish Longitudinal Study on Ageing or TILDA study (N = 8504). Frailty was assessed using a harmonized accumulation deficits frailty index (FI) containing 30 items. FI scores classified individuals as non-frail (<0.10), pre-frail (0.10-0.24) and frail (≥0.25). Linkage to respective administrative data sources provided mortality information with a follow-up time of 8 years., Results: The prevalence of frailty was considerably higher in NI compared with the ROI (29.0% compared with 15.0%), though pre-frailty was slightly lower (35.8% and 37.3%, respectively). Age, female sex, and lower socio-economic status were consistently associated with a higher likelihood of both pre-frailty and frailty. In the pooled analysis, both frailty and pre-frailty were higher in NI (RR = 2.68, 95% CIs 2.45, 2.94 and RR = 1.30, 95% CIs 1.21, 1.40, respectively). Frailty was associated with an increased mortality risk in both cohorts, even after full adjustment for all other characteristics, being marginally higher in TILDA than in NICOLA (HR = 2.43, 95% CIs 2.03, 2.91 vs. HR = 2.31, 95% CIs 1.90, 2.79)., Conclusions: Frailty is a major public health concern for both jurisdictions. Further research and monitoring are required to elucidate why there is a higher prevalence in NI and to identify factors in early life that may be driving these differences., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Public Health Association.)

Objective: We aim to investigate the association between bone mineral density (BMD) measurement and fragility fractures and assess the predictive value of combining BMD measurement and frailty for fracture risk assessment., Methods: This retrospective cohort study analyzed data from 5126 rural Koreans in the Chungju Metabolic Disease Cohort study. Frailty was defined using Fried's frailty phenotype. Fractures were assessed via structured medical interviews. Adjusted odds ratios (ORs) were calculated considering age, sex, body mass index, behavior, BMD, handgrip strength, medications, and comorbidities., Results: The study cohort consisted of 5126 participants comprising 1955 (38.1%) males and 3171 (61.9%) females. Osteoporosis significantly increased the fracture risk across all types, except vertebral fracture, with adjusted OR (95% CI) of 1.89 (1.23-3.47) for any fracture, 2.05 (1.37-2.98) for hip fracture, 2.18 (1.06-4.50) for other fracture, and 1.71 (1.03-3.63) for major osteoporotic fracture (MOF). Frail individuals exhibited significantly increased risk for any fracture (OR 2.12; 95% CI, 1.21-3.71), vertebral fracture (2.48; 1.84-3.61), hip fracture (2.52; 1.09-3.21), other fracture (2.82; 1.19-8.53), and MOF (1.87; 1.01-3.47). The combination of frailty and BMD further increased the risks, with frail individuals demonstrating elevated ORs across BMD categories. In subgroup analyses, men showed a significant association between frailty with osteoporosis in hip fracture and MOF. Frail women with osteoporosis exhibited the highest risks for all fractures, particularly vertebral (OR 5.12; 95% CI, 2.07-9.68) and MOF (OR 5.19; 95% CI, 2.07-6.61). Age-specific analysis revealed that individuals aged 70 and older exhibited markedly higher fracture risks compared with those under 70. The combination of frailty and low BMD further elevated the fracture risk. Frailty was applied with BMD and demonstrated superior risk prediction for MOF compared with that with either score alone (area under the curve 0.825; P = .000)., Conclusions: Combining frailty with BMD provides a more accurate fracture risk assessment for individuals over 50 years., Competing Interests: Conflict of interest: The authors have no conflicts of interest to disclose., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Endocrinology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Frailty is increasingly present in patients with acute myocardial infarction. The electronic Frailty Index (eFI) is a validated method of identifying vulnerable older patients in the community from routine primary care data. Our aim was to assess the relationship between the eFI and outcomes in older patients hospitalised with acute myocardial infarction., Study Design and Setting: Retrospective cohort study using the DataLoch Heart Disease Registry comprising consecutive patients aged 65 years or over hospitalised with a myocardial infarction between October 2013 and March 2021., Methods: Patients were classified as fit, mild, moderate, or severely frail based on their eFI score. Cox-regression analysis was used to determine the association between frailty category and all-cause mortality., Results: In 4670 patients (median age 77 years [71-84], 43% female), 1865 (40%) were classified as fit, with 1699 (36%), 798 (17%) and 308 (7%) classified as mild, moderate and severely frail, respectively. In total, 1142 patients died within 12 months of which 248 (13%) and 147 (48%) were classified as fit and severely frail, respectively. After adjustment, any degree of frailty was associated with an increased risk of all-cause death with the risk greatest in the severely frail (reference = fit, adjusted hazard ratio 2.87 [95% confidence intervals 2.24 to 3.66])., Conclusion: The eFI identified patients at high risk of death following myocardial infarction. Automatic calculation within administrative data is feasible and could provide a low-cost method of identifying vulnerable older patients on hospital presentation., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Frailty, a clinical syndrome of increased vulnerability, due to diminished cognitive, physical, and physiological reserves is a growing concern in the cardiac intensive care unit (CICU). It contributes to morbidity, mortality, and complications and often exerts a bidirectional association with cardiovascular disease. Although it predominately affects older adults, frailty can also be observed in younger patients <65 years of age, with approximately 30% of those admitted in CICU are frail. Acute cardiovascular illness can also impair physical and cognitive functioning among survivors and these survivors often suffer from frailty and functional declines post-CICU discharge. Patients with frailty in the CICU often have higher comorbidity burden, and they are less likely to receive optimal therapy for their acute cardiovascular conditions. Given the significance of this geriatric syndrome, this review will focus on assessment, clinical outcomes, and interventions, in an attempt to establish appropriate assessment, management, and resource utilization in frail patients during and after CICU admission., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Objective: To investigate the prevalence of frailty and its effects on cancer-related fatigue and quality of life among patients with prostate cancer., Methods: In this cross-sectional study, questionnaires were administered to 254 outpatients who visited the Department of Urology at Kagawa University Hospital for prostate cancer; finally, 108 outpatients were analyzed. Frailty, cancer-related fatigue and quality of life were assessed using the G8 screening tool, Japanese version of the Brief Fatigue Inventory and Japanese version of the Short Form 8 Health Survey, respectively. We defined frailty based on a score ≤14 points and divided the patients into frailty and no-frailty groups. We also compared the severity of cancer-related fatigue and quality of life between groups., Results: The prevalence of frailty among 108 outpatients was 63%. Older age correlated with frailty severity (P = 0.0007) but not cancer-related fatigue severity (P = 0.2391). The proportion of patients on treatment or with metastasis was not significantly different between groups. The frailty group had higher cancer-related fatigue severity (P = 0.004) and decreased levels of general activity, mood, walking ability, normal work and enjoyment of life, especially on the Brief Fatigue Inventory subscale. The frailty group had lower physical and mental quality of life than the no-frailty group or general population., Conclusions: The frailty rate for these patients increased with age, exceeding 60% regardless of the treatment status, and was associated with worsened cancer-related fatigue severity and reduced quality of life. Our study highlights the importance of assessing frailty when selecting treatment, especially in older patients., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Epigenetic ageing is among the most promising ageing biomarkers and may be a useful marker of physical function decline, beyond chronological age. This study investigated whether epigenetic age acceleration (AA) is associated with the change in frailty scores over 7 years and the 7-year risk of incident frailty and persistent Activities of Daily Living (ADL) disability among 560 Australians (50.7% females) aged ≥70 years., Methods: Seven AA indices, including GrimAge, GrimAge2, FitAge and DunedinPACE, were estimated from baseline peripheral-blood DNA-methylation. Frailty was assessed using both the 67-item deficit-accumulation frailty index (FI) and Fried phenotype (Fried). Persistent ADL disability was defined as loss of ability to perform one or more basic ADLs for at least 6 months. Linear mixed models and Cox proportional-hazard regression models were used as appropriate., Results: Accelerated GrimAge, GrimAge2, FitAge and DunedinPACE at baseline were associated with increasing FI scores per year (adjusted-Beta ranged from 0.0015 to 0.0021, P < 0.05), and accelerated GrimAge and GrimAge2 were associated with an increased risk of incident FI-defined frailty (adjusted-HRs 1.43 and 1.39, respectively, P < 0.05). The association between DunedinPACE and the change in FI scores was stronger in females (adjusted-Beta 0.0029, P 0.001 than in males (adjusted-Beta 0.0002, P 0.81). DunedinPACE, but not the other AA measures, was also associated with worsening Fried scores (adjusted-Beta 0.0175, P 0.04). No associations were observed with persistent ADL disability., Conclusion: Epigenetic AA in later life is associated with increasing frailty scores per year and the risk of incident FI-defined frailty., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Due to the location and toxicity of treatments, head and neck cancer (HNC) has a major impact on quality of life (QoL). Objective: to assess the effects of geriatric-assessment (GA)-driven interventions on QoL over 2 years in older adults with HNC.EGeSOR was a randomized study of HNC patients aged ≥65, receiving a pretreatment GA, a geriatric intervention and follow-up (intervention) or standard of care (control). The primary endpoint was QoL score using the European Organisation for Research and Treatment of Cancer's (EORTC QLQ-C30) and HNC (QLQ-HN35) QoL questionnaires over 24 months.In total, 475 patients were included (median age: 75.3; women: 31%; oral cancer: 44%). QoL scores improved over 24 months with various trajectories, without significant differences between the groups. A total of 74% of patients (interventional group) did not receive the complete intervention. Cancer characteristics, functional status, and risk of frailty were associated with change in the Global Health Status QoL score.There is a need to develop an alternative model of implementation such as patient-centered health-care pathways., Trial Registration: NCT02025062., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Older adults with burn injuries have a high risk of readmission after the initial burn admission. Frailty is associated with poor outcomes from the initial burn injury, however, it remains unknown if frailty impacts readmission in older adults after the initial index burn admission. Our study aims to examine patient, frailty, burn, surgical, and hospital factors that contribute to 90-day readmissions in older adults with an acute burn. Patients ≥ 50 years of age with an acute burn diagnosis in the Nationwide Readmissions Database (2016-2018) were included. Patients who died during index admissions were excluded from the readmission analysis. Patient, burn, hospital stay, and hospital characteristics were analyzed. Using variables significant from univariate logistic regression analysis, we performed a multivariable logistic regression analysis to identify factors associated with 90-day readmissions. A total of 41,500 weighted index burn admissions were included. The 90-day readmission rate was 25.6% (10,641/41,500). Almost all the readmissions were unplanned (96.5%). The most common primary readmission diagnoses based on Clinical Classifications Software Refined were burn injury and septicemia. Multivariable logistic regression analysis demonstrated an increased hospital frailty risk and lower-body-only burns were associated with an increased risk of readmission. Notably, surgical treatment of the burn injury during the index admission was associated with a decreased risk of readmission. This highlights the importance and challenges of surgical decision-making for older adults with high comorbidity burden. Future studies are needed to develop decision guides to help clinicians identify patients who would benefit from surgical treatment versus more conservative strategies in older adult patients with burns., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Burn Association. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Objectives: Frailty is a risk factor for adverse health in SLE. The Fried phenotype (FP) and the SLICC Frailty Index (SLICC-FI) are common frailty metrics reflecting distinct approaches to frailty assessment. We aimed to (1) compare frailty prevalence according to both metrics in women with SLE and describe differences between frail and non-frail participants using each method and (2) evaluate for cross-sectional associations between each metric and self-reported disability., Methods: Women aged 18-70 years with SLE were enrolled. FP and SLICC-FI were measured, and agreement calculated using a kappa statistic. Physician-reported disease activity and damage, Patient Reported Outcome Measurement Information System (PROMIS) computerized adaptive tests, and Valued Life Activities (VLA) self-reported disability were assessed. Differences between frail and non-frail participants were evaluated cross-sectionally, and the association of frailty with disability was determined for both metrics., Results: Of 67 participants, 17.9% (FP) and 26.9% (SLICC-FI) were frail according to each metric (kappa = 0.41, P < 0.01). Compared with non-frail women, frail women had greater disease damage, worse PROMIS scores, and greater disability (all P < 0.01 for FP and SLICC-FI). After age adjustment, frailty remained associated with a greater odds of disability [FP: odds ratio (OR) 4.7, 95% CI 1.2, 18.8; SLICC-FI: OR 4.6, 95% CI 1.3, 15.8]., Conclusion: Frailty is present in 17.9-26.9% of women with SLE. These metrics identified a similar, but non-identical group of women as frail. Further studies are needed to explore which metric is most informative in this population., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background and Objectives: People with parkinsonism who are older, living in a care home, with frailty, multimorbidity or impaired capacity to consent are under-represented in research, limiting its generalisability. We aimed to evaluate more inclusive recruitment strategies., Methods: From one UK centre, we invited people with parkinsonism to participate in a cross-sectional study. Postal invitations were followed by telephone reminders and additional support to facilitate participation. Personal consultees provided information on the views regarding research participation of adults with impaired capacity. These approaches were evaluated: (i) using external data from the Parkinson's Real World Impact assesSMent (PRISM) study and Clinical Practice Research Datalink (CPRD), a sample of all cases in UK primary care, and (ii) comparing those recruited with or without intensive engagement., Results: We approached 1,032 eligible patients, of whom 542 (53%) consented and 477 (46%) returned questionnaires. The gender ratio in PRIME-UK (65% male) closely matched CPRD (61% male), unlike in the PRISM sample (46%). Mean age of PRIME participants was 75.9 (SD 8.5) years, compared to 75.3 (9.5) and 65.4 (8.9) years for CPRD and PRISM, respectively. More intensive engagement enhanced recruitment of women (13.3%; 95% CI 3.8, 22.9%; P = 0.005), care home residents (6.2%; 1.1, 11.2%; P = 0.004), patients diagnosed with atypical parkinsonism (13.7%; 5.4, 19.9%; P < 0.001), and those with a higher frailty score (mean score 0.2, 0.1, 0.2; P < 0.001)., Conclusions: These recruitment strategies resulted in a less biased and more representative sample, with greater inclusion of older people with more complex parkinsonism., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background: Substantial evidence supports the inverse association between adherence to healthy dietary patterns and frailty risk. However, the role of plant-based diets, particularly their quality, is poorly known., Objective: To examine the association of two plant-based diets with incidence of physical frailty in middle-aged and older adults., Design: Prospective cohort., Setting: United Kingdom., Subjects: 24,996 individuals aged 40-70 years, followed from 2009-12 to 2019-22., Methods: Based on at least two 24-h diet assessments, we built two diet indices: (i) the healthful Plant-based Diet Index (hPDI) and (ii) the unhealthful Plant-based Diet Index (uPDI). Incident frailty was defined as developing ≥3 out of 5 of the Fried criteria. We used Cox models to estimate relative risks (RR), and their 95% confidence interval (CI), of incident frailty adjusted for the main potential confounders., Results: After a median follow-up of 6.72 years, 428 cases of frailty were ascertained. The RR (95% CI) of frailty was 0.62 (0.48-0.80) for the highest versus lowest tertile of the hPDI and 1.61 (1.26-2.05) for the uPDI. The consumption of healthy plant foods was associated with lower frailty risk (RR per serving 0.93 (0.90-0.96)). The hPDI was directly, and the uPDI inversely, associated with higher risk of low physical activity, slow walking speed and weak hand grip, and the uPDI with higher risk of exhaustion., Conclusions: In British middle-age and older adults, greater adherence to the hPDI was associated with lower risk of frailty, whereas greater adherence to the uPDI was associated with higher risk., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Numerous studies have revealed age-related inequalities in colorectal cancer care. Increasing levels of frailty in an ageing population may be contributing to this, but quantifying frailty in population-based studies is challenging., Objective: To assess the feasibility, validity and reliability of the Hospital Frailty Risk Score (HFRS), the Secondary Care Administrative Records Frailty (SCARF) index and the frailty syndromes (FS) measures in a national colorectal cancer cohort., Design: Retrospective population-based study using 136,008 patients with colorectal cancer treated within the English National Health Service., Methods: Each measure was generated in the dataset to assess their feasibility. The diagnostic codes used in each measure were compared with those in the Charlson Comorbidity Index (CCI). Validity was assessed using the prevalence of frailty and relationship with 1-year survival. The Brier score and the c-statistic were used to assess performance and discriminative ability of models with included each measure., Results: All measures demonstrated feasibility, validity and reliability. Diagnostic codes used in SCARF and CCI have considerable overlap. Prevalence of frailty determined by each differed; SCARF allocating 55.4% of the population to the lowest risk group compared with 85.1% (HFRS) and 81.2% (FS). HFRS and FS demonstrated the greatest difference in 1-year overall survival between those with the lowest and highest measured levels of frailty. Differences in model performance were marginal., Conclusions: HFRS, SCARF and FS all have value in quantifying frailty in routine administrative health care datasets. The most suitable measure will depend on the context and requirements of each individual epidemiological study., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background and Aims: Our goals were to study frailty screening in association with hospitalization and decline in quality of life [QoL] and functional status in older patients with inflammatory bowel diseases [IBD]., Methods: This was a prospective multicentre cohort study in IBD patients ≥65 years old using frailty screening [G8 Questionnaire]. Outcomes were all-cause, acute, and IBD-related hospitalization, any infection, any malignancy, QoL [EQ5D-3L], and functional decline (Instrumental Activities of Daily Living [IADL]) during 18 months of follow-up. Confounders were age, IBD type, biochemical disease activity [C-reactive protein ≥10 mg/L and/or faecal calprotectin ≥250 µg/g], and comorbidity [Charlson Comorbidity Index]., Results: Of 405 patients, with a median age of 70 years, 196 [48%] were screened as being at risk for frailty. All-cause hospitalizations occurred 136 times in 96 patients [23.7%], and acute hospitalizations 103 times in 74 patients [18.3%]. Risk of frailty was not associated with all-cause (adjusted hazard ratio [aHR] 1.5, 95% confidence interval [CI] 0.9-2.4), but was associated with acute hospitalizations [aHR 2.2, 95% CI 1.3-3.8]. Infections occurred in 86 patients [21.2%] and these were not associated with frailty. A decline in QoL was experienced by 108 [30.6%] patients, and a decline in functional status by 46 patients [13.3%]. Frailty screening was associated with a decline in QoL (adjusted odds ratio [aOR] 2.1, 95% CI 1.3-3.6) and functional status [aOR 3.7, 95% CI 1.7-8.1]., Conclusions: Frailty screening is associated with worse health outcomes in older patients with IBD. Further studies are needed to assess the feasibility and effectiveness of its implementation in routine care., (© The Author(s) 2023. Published by Oxford University Press on behalf of European Crohn’s and Colitis Organisation.)

Background: Older adults with ulcerative colitis [UC] have greater morbidity than younger adults. The goal of this study was to investigate differences in the management and outcomes of older and younger patients hospitalised with severe UC., Methods: We conducted a retrospective cohort study of patients hospitalised for acute severe ulcerative colitis requiring intravenous steroids. We compared outcomes of adults aged ≥65 years with outcomes of younger patients. Primary study outcomes included frequency and timing of medical and surgical rescue therapy during the hospitalisation, postoperative complications, frailty, and mortality outcomes up to 1 year following the hospitalisation., Results: Our cohort included 63 older adults [≥65 years] and 137 younger adults [14-64 years]. Despite similar disease severity at hospitalisation, older adults were half as likely to receive medical rescue therapy (odds ratio 0.45, 95% confidence interval [CI] 0.22-0.91). This difference was more striking among the frailest older adults. Older patients were similarly likely to undergo surgery but were more likely to undergo urgent or emergent procedures [50%] compared with younger patients [13%] [p <0.004]. The fraction of older adults at high risk for frailty increased from 33% pre-hospitalisation to 42% post-hospitalisation. Nearly one-third [27.8%] of older adults died within 1 year of hospitalisation, with half the deaths among older adults being attributable to UC or complications of UC., Conclusions: In comparison with younger patients, older adults had lower frequency use of medical rescue therapy, higher rates of emergency surgery, and increased mortality within 1 year. Further research is needed to optimise care pathways in this population., (© The Author(s) 2023. Published by Oxford University Press on behalf of European Crohn’s and Colitis Organisation. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Few studies have examined longitudinal changes in lifestyle-related factors and frailty., Methods: We examined the association between individual lifestyle factors (exercise, diet, sleep, alcohol, smoking and body composition), their sum at baseline, their change over the 17-year follow-up and the rate of change in frailty index values using linear mixed models in a cohort of 2,000 participants aged 57-69 years at baseline., Results: A higher number of healthy lifestyle-related factors at baseline was associated with lower levels of frailty but not with its rate of change from late midlife into old age. Participants who stopped exercising regularly (adjusted β × Time = 0.19, 95%CI = 0.10, 0.27) and who began experiencing sleeping difficulties (adjusted β × Time = 0.20, 95%CI = 0.10, 0.31) experienced more rapid increases in frailty from late midlife into old age. Conversely, those whose sleep improved (adjusted β × Time = -0.10, 95%CI = -0.23, -0.01) showed a slower increase in frailty from late midlife onwards. Participants letting go of lifestyle-related factors (decline by 3+ factors vs. no change) became more frail faster from late midlife into old age (adjusted β × Time = 0.16, 95% CI = 0.01, 0.30)., Conclusions: Lifestyle-related differences in frailty were already evident in late midlife and persisted into old age. Adopting one new healthy lifestyle-related factor had a small impact on a slightly less steeply increasing level of frailty. Maintaining regular exercise and sleeping habits may help prevent more rapid increases in frailty., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background: Older people with frailty are at risk of harm from immobility or isolation, yet data about how COVID-19 lockdowns affected them are limited. Falls and fractures are easily measurable adverse outcomes correlated with frailty. We investigated whether English hospital admission rates for falls and fractures varied from the expected trajectory during the COVID-19 pandemic, and how these varied by frailty status., Methods: NHS England Hospital Episode Statistics Admitted Patient Care data were analysed for observed versus predicted outcome rates for 24 January 2020 to 31 December 2021. An auto-regressive integrated moving average time-series model was trained using falls and fracture incidence data from 2013 to 2018 and validated using data from 2019. Models included national and age-, sex- and region-stratified forecasts. Outcome measures were hospital admissions for falls, fractures, and falls and fractures combined. Frailty was defined using the Hospital Frailty Risk Score., Results: 144,148,915 pre-pandemic hospital admissions were compared with 42,267,318 admissions after pandemic onset. For the whole population, falls and fracture rates were below predicted for the first period of national lockdown, followed by a rapid return to rates close to predicted. Thereafter, rates followed expected trends. For people living with frailty, however, falls and fractures increased above expected rates during periods of national lockdown and remained elevated throughout the study period. Effects of frailty were independent of age., Conclusions: People living with frailty experienced increased fall and fracture rates above expected during and following periods of national lockdown. These remained persistently elevated throughout the study period., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background and Aims: Previous studies found that frailty was an important risk factor for cardiovascular disease (CVD). However, previous studies only focused on baseline frailty status, not taking into consideration the changes in frailty status during follow-up. The aim of this study was to investigate the associations of changes in frailty status with incident CVD., Methods: This study used data of three prospective cohorts: China Health and Retirement Longitudinal Study (CHARLS), English Longitudinal Study of Ageing (ELSA), and Health and Retirement Study (HRS). Frailty status was evaluated by the Rockwood frailty index and classified as robust, pre-frail, or frail. Changes in frailty status were assessed by frailty status at baseline and the second survey which was two years after the baseline. Cardiovascular disease was ascertained by self-reported physician-diagnosed heart disease (including angina, heart attack, congestive heart failure, and other heart problems) or stroke. Cox proportional hazard models were used to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) after adjusting for potential confounders., Results: A total of 7116 participants from CHARLS (female: 48.6%, mean age: 57.4 years), 5303 from ELSA (female: 57.7%, mean age: 63.7 years), and 7266 from HRS (female: 64.9%, mean age: 65.1 years) were included according to inclusion and exclusion criteria. The median follow-up periods were 5.0 years in the CHARLS, 10.7 years in the ELSA, and 9.5 years in the HRS. Compared with stable robust participants, robust participants who progressed to pre-frail or frail status had increased risks of incident CVD (CHARLS, HR = 1.84, 95% CI: 1.54-2.21; ELSA, HR = 1.53, 95% CI: 1.25-1.86; HRS, HR = 1.59, 95% CI: 1.31-1.92). In contrast, frail participants who recovered to robust or pre-frail status presented decreased risks of incident CVD (CHARLS, HR = 0.62, 95% CI: 0.47-0.81; ELSA, HR = 0.49, 95% CI: 0.34-0.69; HRS, HR = 0.70, 95% CI: 0.55-0.89) when compared with stable frail participants. These decreased risks of incident CVD were also observed in pre-frail participants who recovered to robust status (CHARLS, HR = 0.66, 95% CI: 0.52-0.83; ELSA, HR = 0.65, 95% CI: 0.49-0.85; HRS, HR = 0.71, 95% CI: 0.56-0.91) when compared with stable pre-frail participants., Conclusions: Different changes in frailty status are associated with different risks of incident CVD. Progression of frailty status increases incident CVD risks, while recovery of frailty status decreases incident CVD risks., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Aims: Although frail patients with atrial fibrillation (AF) carry a high risk of stroke and treatment-related bleeding complications, evidence for the safety and effectiveness of anticoagulation remains sparse. This study investigated the effectiveness and safety of direct oral anticoagulant (DOAC) vs. warfarin in frail AF patients., Methods and Results: Nationwide registry-based cohort study including 32 048 anticoagulation naïve frail patients (median age 80 years, 53% female) with incident AF during 2012-20. Frailty was assessed using the hospital frailty risk score. To address baseline confounding, we applied inverse probability of treatment weighting (IPTW) and marginal structural models with weighted pooled regression to compute weighted hazard ratios (wHRs) and risk differences for thromboembolism and major bleeding comparing specific DOAC doses with warfarin. After AF diagnosis, 6747 (21.1%) initiated warfarin, 17 076 (50.3%) initiated standard-dose DOAC, and 9179 (28.6%) initiated reduced-dose DOAC. Comparative effectiveness analyses in the IPTW pseudo-populations revealed similar thromboembolism risk between standard-dose DOAC and warfarin [wHR 0.95, 95% confidence interval (CI) 0.80-1.13] and between reduced-dose DOAC and warfarin (wHR 0.97, 95% CI 0.77-1.23). The 1-year thromboembolic event-free survival difference was -0.2% for DOAC, regardless of dosing, vs. warfarin. Major bleeding risk was significantly lower with standard-dose DOAC (wHR 0.69, 95% CI 0.59-0.87) and reduced-dose DOAC (wHR 0.67, 95% CI 0.55-0.81) vs. warfarin. The 1-year bleeding risk difference with DOAC ranged from -1.3% to -3.0%., Conclusion: Our findings indicate comparable thromboembolism risk and significantly lower bleeding risk with both standard and reduced DOAC regimens compared with warfarin in frail AF patients in routine care., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Aims: Data on non-vitamin K antagonist oral anticoagulants (NOACs) use in patients with atrial fibrillation (AF) and frailty are scarce. Therefore, the impact of frailty on AF-related outcomes and benefit-risk profiles of NOACs in patients with frailty were investigated., Methods and Results: AF patients initiating anticoagulation between 2013 and 2019 were included using Belgian nationwide data. Frailty was assessed with the Claims-based Frailty Indicator. Among 254 478 anticoagulated AF patients, 71 638 (28.2%) had frailty. Frailty was associated with higher all-cause mortality risks [adjusted hazard ratio (aHR) 1.48, 95% confidence interval (CI) (1.43-1.54)], but not with thromboembolism or bleeding. Among subjects with frailty (78 080 person-years of follow-up), NOACs were associated with lower risks of stroke or systemic embolism (stroke/SE) [aHR 0.77, 95%CI (0.70-0.86)], all-cause mortality [aHR 0.88, 95%CI (0.84-0.92)], and intracranial bleeding [aHR 0.78, 95%CI (0.66-0.91)], a similar major bleeding risk [aHR 1.01, 95%CI (0.93-1.09)], and higher gastrointestinal bleeding risk [aHR 1.19, 95%CI (1.06-1.33)] compared with VKAs. Major bleeding risks were lower with apixaban [aHR 0.84, 95%CI (0.76-0.93)], similar with edoxaban [aHR 0.91, 95%CI (0.73-1.14)], and higher with dabigatran [aHR 1.16, 95%CI (1.03-1.30)] and rivaroxaban [aHR 1.11, 95%CI (1.02-1.21)] compared with VKAs. Apixaban was associated with lower major bleeding risks compared with dabigatran [aHR 0.72, 95%CI (0.65-0.80)], rivaroxaban [aHR 0.78, 95%CI (0.72-0.84)] and edoxaban [aHR 0.74, 95%CI (0.65-0.84)], but mortality risk was higher compared with dabigatran and edoxaban., Conclusion: Frailty was an independent risk factor of death. Non-vitamin K antagonist oral anticoagulants had better benefit-risk profiles than VKAs in patients with frailty, especially apixaban, followed by edoxaban., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Objectives: Frailty is a risk factor for faster cognitive decline, while plant-based dietary patterns are associated with decreased risk of cognitive decline. We aimed to explore their interaction with cognitive function among older adults., Methods: We used data from the Chinese Longitudinal Healthy Longevity Survey between 2008 and 2018. Frailty was evaluated based on the frailty index (FI), and the plant-based diet index (PDI) was calculated using food frequency questionnaire at baseline. Repeated measures of the Mini-Mental State Examination (MMSE) were utilised to assess cognitive function. We used linear mixed models to estimate regression coefficients (β) and 95% confidence intervals (CI)., Results: We included 7,166 participants with a median follow-up of 5.8 years. Participants in pre-frail (β = -0.18, 95% CI: -0.24, -0.13) and frail (β = -0.39, 95% CI: -0.48, -0.30) groups experienced an accelerated decline in MMSE score compared with the robust group. The PDI modified the above association, with corresponding associations with frailty being much more pronounced among participants with a lower PDI (frail vs. robust β = -0.44, 95% CI: -0.56, -0.32), compared with those with a higher PDI (frail vs. robust β = -0.27, 95% CI: -0.40, -0.13). In addition, A combination of frailty and a low PDI was strongly associated with a faster decline in MMSE score (β = -0.52, 95% CI: -0.63, -0.41)., Conclusion: Adherence to plant-based dietary patterns attenuates the association between frailty and cognitive decline. If the observed association is causal, promoting plant-based dietary patterns may be a strategy to reduce the effects of frailty on neurological health., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Little is known about the prevalence of frailty among patients with memory concerns attending a primary care-based memory clinic., Objective: This study aims to describe the prevalence of frailty among patients attending a primary care-based memory clinic and to determine if prevalence rates differ based on the screening tool that is used., Methods: We conducted a retrospective medical record review for all consecutive patients assessed in a primary care-based memory clinic over 8 months. Frailty was measured in 258 patients using the Fried frailty criteria, which relies on physical measures, and the Clinical Frailty Scale (CFS), which relies on functional status. Weighted kappa statistics were calculated to compare the Fried frailty and the CFS., Results: The prevalence of frailty was 16% by Fried criteria and 48% by the CFS. Agreement between Fried frailty and CFS was fair for CFS 5+ (kappa = 0.22; 95% confidence interval: 0.13, 0.32) and moderate for CFS 6+ (kappa = 0.47; 0.34, 0.61). Dual-trait measures of hand grip strength with gait speed were found to be a valid proxy for Fried frailty phenotype., Conclusions: Among primary care patients with memory concerns, frailty prevalence rates differed based on the measure used. Screening for frailty in this population using measures relying on physical performance may be a more efficient approach for persons already at risk of further health instability from cognitive impairment. Our findings demonstrate how measure selection should be based on the objectives and context in which frailty screening occurs., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Frailty is often described as a condition of the elderly and alcohol use is associated with frailty. The aim of this study is to examine the associations between alcohol use and frailty in three cities in elder adults., Methods: A cross-sectional study was conducted in three cities in China from June 2017 to October 2018. In total, 2888 residents aged ≥65 years old were selected by using a multi-level stage sampling procedure. Alcohol use was assessed by Focusing on Cutting down, Annoyance by criticism, Guilty feeling, and Eye-openers (CAGE) four-item questionnaire. Frailty was measured by a validated Chinese version of the Fatigue, Resistance, Ambulation, Illness, and Loss of weight (FRAIL) scale. Multinomial logistic regressions were used to examine the association of alcohol use with pre-frailty and frailty after controlling for varied covariates., Results: In general, the prevalence of pre-frailty and frailty was 38.64 and 20.26%, respectively. After controlling for covariates and interaction of age and problematic drinking, non-problematic drinkers neither had association with pre-frailty (OR: 1.15, 95%CI:0.86-1.52) nor with frailty (OR:0.90, 95%CI:0.60-1.36), and problematic drinkers neither had association with frailty (OR: 1.21, 95%CI:0.83-1.76), while problematic drinkers had high odd ratios of frailty (OR:3.28, 95%CI:2.02-5.33) compared with zero-drinker., Conclusions: Our study found a positive association between problematic drinking and frailty, no relationship between non-problematic drinking and (pre-)frailty compared with zero-drinking among Chinese elder adults. Based on previous findings and ours, we conclude it is important for the prevention of frailty to advocate no problematic drinking among elder adults., (© The Author(s) 2023. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: The purpose of this study was to assess the impact of SARS-COV-2 (Severe acute respiratory syndrome coronavirus 2) pandemic on primary care management (frequency of monitoring activities, regular prescriptions, and test results) of older adults with common chronic conditions (diabetes, hypertension, and chronic kidney disease) and to examine whether any changes were associated with age, sex, neighbourhood income, multimorbidity, and frailty., Methods: A research database from a sub-set of McMaster University Sentinel and Information Collaboration family practices was used to identify patients ≥65 years of age with a frailty assessment and 1 or more of the conditions. Patient demographics, chronic conditions, and chronic disease management information were retrieved. Changes from 14 months pre to 14 months since the pandemic were described and associations between patient characteristics and changes in monitoring, prescriptions, and test results were analysed using regression models., Results: The mean age of the 658 patients was 75 years. While the frequency of monitoring activities and prescriptions related to chronic conditions decreased overall, there were no clear trends across sub-groups of age, sex, frailty level, neighbourhood income, or number of conditions. The mean values of disease monitoring parameters (e.g. blood pressure) did not considerably change. The only significant regression model demonstrated that when controlling for all other variables, patients with 2 chronic conditions and those with 4 or more conditions were twice as likely to have reduced numbers of eGFR (Estimated glomerular filtration rate) measures compared to those with only 1 condition ((OR (odds ratio) = 2.40, 95% CI [1.19, 4.87]); (OR = 2.19, 95% CI [1.12, 4.25]), respectively)., Conclusion: In the first 14 months of the pandemic, the frequency of common elements of chronic condition care did not notably change overall or among higher-risk patients., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

The Faurot frailty index (FFI) is a validated algorithm that uses enrollment and International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)-based billing information from Medicare claims data as a proxy for frailty. In October 2015, the US health-care system transitioned from the ICD-9-CM to the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Applying the Centers for Medicare and Medicaid Services General Equivalence Mappings, we translated diagnosis-based frailty indicator codes from the ICD-9-CM to the ICD-10-CM, followed by manual review. We used interrupted time-series analysis of Medicare data to assess the comparability of the pre- and posttransition FFI scores. In cohorts of beneficiaries enrolled in January 2015-2017 with 8-month frailty look-back periods, we estimated associations between the FFI and 1-year risk of aging-related outcomes (mortality, hospitalization, and admission to a skilled nursing facility). Updated indicators had similar prevalences as pretransition definitions. The median FFI scores and interquartile ranges (IQRs) for the predicted probability of frailty were similar before and after the International Classification of Diseases transition (pretransition: median, 0.034 (IQR, 0.02-0.07); posttransition: median, 0.038 (IQR, 0.02-0.09)). The updated FFI was associated with increased risks of mortality, hospitalization, and skilled nursing facility admission, similar to findings from the ICD-9-CM era. Studies of medical interventions in older adults using administrative claims should use validated indices, like the FFI, to mitigate confounding or assess effect-measure modification by frailty., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background and Aims: There is little information on the incremental prognostic importance of frailty beyond conventional prognostic variables in heart failure (HF) populations from different country income levels., Methods: A total of 3429 adults with HF (age 61 ± 14 years, 33% women) from 27 high-, middle- and low-income countries were prospectively studied. Baseline frailty was evaluated by the Fried index, incorporating handgrip strength, gait speed, physical activity, unintended weight loss, and self-reported exhaustion. Mean left ventricular ejection fraction was 39 ± 14% and 26% had New York Heart Association Class III/IV symptoms. Participants were followed for a median (25th to 75th percentile) of 3.1 (2.0-4.3) years. Cox proportional hazard models for death and HF hospitalization adjusted for country income level; age; sex; education; HF aetiology; left ventricular ejection fraction; diabetes; tobacco and alcohol use; New York Heart Association functional class; HF medication use; blood pressure; and haemoglobin, sodium, and creatinine concentrations were performed. The incremental discriminatory value of frailty over and above the MAGGIC risk score was evaluated by the area under the receiver-operating characteristic curve., Results: At baseline, 18% of participants were robust, 61% pre-frail, and 21% frail. During follow-up, 565 (16%) participants died and 471 (14%) were hospitalized for HF. Respective adjusted hazard ratios (95% confidence interval) for death among the pre-frail and frail were 1.59 (1.12-2.26) and 2.92 (1.99-4.27). Respective adjusted hazard ratios (95% confidence interval) for HF hospitalization were 1.32 (0.93-1.87) and 1.97 (1.33-2.91). Findings were consistent among different country income levels and by most subgroups. Adding frailty to the MAGGIC risk score improved the discrimination of future death and HF hospitalization., Conclusions: Frailty confers substantial incremental prognostic information to prognostic variables for predicting death and HF hospitalization. The relationship between frailty and these outcomes is consistent across countries at all income levels., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Introduction: Identification of people who have or are at risk of frailty enables targeted interventions, and the use of tools that screen for frailty using electronic records (which we term as validated electronic frailty measures (VEFMs)) within primary care is incentivised by NHS England. We carried out a systematic review to establish the sensitivity and specificity of available primary care VEFMs when compared to a reference standard in-person assessment., Methods: Medline, Pubmed, CENTRAL, CINHAL and Embase searches identified studies comparing a primary care VEFM with in-person assessment. Studies were quality assessed using Quality Assessment of Diagnostic Accuracy Studies revised tool. Sensitivity and specificity values were extracted or were calculated and pooled using StatsDirect., Results: There were 2,245 titles screened, with 10 studies included. These described three different index tests: electronic frailty index (eFI), claims-based frailty index (cFI) and polypharmacy. Frailty Phenotype was the reference standard in each study. One study of 60 patients examined the eFI, reporting a sensitivity of 0.84 (95% CI = 0.55, 0.98) and a specificity of 0.78 (0.64, 0.89). Two studies of 7,679 patients examined cFI, with a pooled sensitivity of 0.48 (95% CI = 0.23, 0.74) and a specificity of 0.80 (0.53, 0.98). Seven studies of 34,328 patients examined a polypharmacy as a screening tool (defined as more than or equal to five medications) with a pooled sensitivity of 0.61 (95% CI = 0.50, 0.72) and a specificity of 0.66 (0.58, 0.73)., Conclusions: eFI is the best-performing VEFM; however, based on our analysis of an average UK GP practice, it would return a high number of false-positive results. In conclusion, existing electronic frailty tools may not be appropriate for primary care-based population screening., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Accurate comparable prevalence proportions are required to better understand the epidemiology of frailty. Estimates in many countries are missing or incomparable. The Global Burden of Disease Frailty Index (GBD-FI) applies the deficit accumulation model to generate frailty scores from items available in the Global Burden of Disease study., Objective: To externally validate the GBD-FI., Methods: Data were obtained from the Survey of Health Ageing and Retirement in Europe (SHARE). A 20-item modified GBD-FI was compared with established frailty measures: a 70-item frailty index (FI-70), the Clinical Frailty Scale (CFS), Frailty Phenotype (FP) and SHARE-FI. Area under receiver operating characteristic curves (AUC) were fitted to examine diagnostic accuracy for frailty and predictive validity for 2-year mortality., Results: In total, 31,624 participants aged ≥50 years from 15 countries were included. Frailty prevalence was 22% using the GBD-FI (ranging from 8% in Switzerland to 41% in Poland). The GBD-FI had good to excellent diagnostic accuracy for frailty, irrespective of approach; the AUC ranged from 0.86 (95% confidence interval: 0.85-0.87) measuring frailty using the CFS to 0.94 (0.93-0.94) with the FI-70. The GBD-FI had similar accuracy for 2-year mortality (AUC 0.71, 0.69-0.74) compared with the CFS (0.73; P = 0.186), FP (0.73; P = 0.392) and SHARE-FI (0.70; P = 0.255) but lower than the FI-70 (0.76; P < 0.001)., Conclusion: The GBD-FI demonstrated concurrent and predictive validity, suggesting it is a valid measure of frailty. It has the potential to be an efficient, replicable and consistent approach to comparing frailty between countries and regions across time using GBD data., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Frailty is a dynamic process associated with adverse health outcomes. However, little is known about the long-term trajectories of frailty in older cancer survivors., Objectives: To describe the trajectories of frailty phenotype over time amongst older cancer survivors and examine the socio-demographic and health-related predictors of different trajectories., Design: Population-based longitudinal cohort study., Setting: Community-dwelling older adults in the United States., Subjects: 1,763 older adults who were diagnosed with cancer from the National Health and Ageing Trends Study., Methods: Frailty was assessed by the Fried Frailty Phenotype. The group-based trajectory model was used to identify the trajectories of frailty. Multinomial logistic regression analyses were used to examine the socio-demographic and health-related predictors of different trajectories., Results: Three frailty trajectories were identified; 52.8% of older cancer survivors had a sustained low risk of frailty over time, 25.0% had a low frailty risk at baseline but the risk increased steadily, and 22.3% had a high frailty risk with a slight change in the observed period. Older cancer survivors were at a high-risk frailty trajectory if they were older, female, African American, had lower education status, had lower annual income, were underweight or obese, self-rated poorer health, had more chronic conditions and difficulties with activities of daily living (ADL), and had worse cognitive functions (P < 0.05)., Conclusions: Long-term frailty trajectories in older cancer survivors are heterogeneous. This study helps identify patients at high risk of sustained or deteriorating frailty and has the potential to inform targeted frailty management strategies addressing modifiable factors identified (e.g. body mass index, ADL)., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: Frailty, characterized by multi-system decline, increases vulnerability to adverse health outcomes and can be measured using Frailty Index (FI). We aimed to assess the prevalence of frailty in patients with adrenal disorders (based on hormonal sub-type) and examine association between FI and performance-based measures of physical function., Design: Multi-centre, cross-sectional study (March 2019-August 2022)., Methods: Adult patients with adrenal disorders (non-functioning adrenal adenomas [NFA], mild autonomous cortisol secretion [MACS], Cushing syndrome [CS], primary aldosteronism [PA]) and referent subjects without adrenal disorders completed a questionnaire encompassing 47 health variables (comorbidities, symptoms, daily living activities). FI was calculated as the average score of all variables and frailty defined as FI ≥ 0.25. Physical function was assessed with hand grip, timed up-and-go test, chair rising test, 6-minute walk test, and gait speed., Results: Compared to referent subjects (n = 89), patients with adrenal disorders (n = 520) showed increased age, sex, and body mass index-adjusted prevalence of frailty (CS [odds ratio-OR 19.2, 95% confidence interval-CI 6.7-70], MACS [OR 12.5, 95% CI 4.8-42.9], PA [OR 8.4, 95% CI 2.9-30.4], NFA [OR 4.5, 95% CI 1.7-15.9]). Prevalence of frailty was similar to referent subjects when post-dexamethasone cortisol was <28 nmol/L and was higher when post-dexamethasone cortisol was 28-50 nmol/L (OR 4.6, 95% CI 1.7-16.5). FI correlated with all measures of physical function (P < .001)., Conclusions: Whilst frailty prevalence was highest in patients with adrenocortical hormone excess, even patients with NFA demonstrated an increased prevalence compared to the referent population. Future longitudinal studies are needed to evaluate the impact of various management strategies on frailty., Competing Interests: Conflict of interest: I.B. serves on the editorial board for EJE and was not involved in handling of this manuscript. I.B. reports consulting fees (to institution) outside this work from Recordati, HRA Pharma, Corcept, Diurnal, Neurocrine, Spruce, Sparrow, Adrenas. I.B. reports funding for investigator-initiated research (outside this work) from the National Institutes of Health and Recordati. All authors declare no competing interests., (© The Author(s) 2023. Published by Oxford University Press on behalf of European Society of Endocrinology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: The Nutri-Score front-of-package labelling classifies food products according to their nutritional quality, so healthier food choices are easier when shopping. This study prospectively assesses the association of a diet rated according to the Nutri-Score system and incident frailty in community-dwelling older adults., Methods: Cohort study with 1,875 individuals aged ≥60 recruited during 2008-2010 in Spain. At baseline, food consumption was assessed using a validated dietary history. Food was categorised into five Nutri-Score labels (A/green-best quality; B, C, D, E/red-worst quality) utilising an algorithm established in 2017 and currently in use. For each participant, a Five-Color Nutri-Score Dietary Index (5-CNS DI) in grams per day per kilogram was calculated. The 5-CNS DI sums up the grams per day of food consumed times their corresponding nutritional quality value (from A rated as 1 to E rated as 5) and divided by weight in kilograms. From baseline to December 2012, incident frailty was ascertained based on Fried's criteria. Statistical analyses were performed with logistic regression adjusted for main confounders., Results: After a mean follow-up of 3.5 years, 136 cases of frailty were identified. The multivariable-adjusted odds ratios (95% confidence interval) of incident frailty across increasing quartiles of the 5-CNS DI were 1, 1.51 (0.86-2.68), 1.56 (0.82-2.98) and 2.32 (1.12-4.79); P-trend = 0.033. The risk of frailty increased by 28% (3-58%) with a 10-unit increment in this dietary index. Similar results were found with the Nutri-Score algorithm modified in 2022., Conclusions: consumption of a diet with less favourable Nutri-Score ratings doubles the risk of frailty among community-dwelling older adults., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Aims: Examine the association between (1) admission frailty and (2) frailty changes during cardiac rehabilitation (CR) with 5-year outcomes (i.e. time to mortality, first hospitalization, first emergency department (ED) visit, and number of hospitalizations, hospital days, and ED visits)., Methods and Results: Data from patients admitted to a 12-week CR programme in Halifax, Nova Scotia, from May 2005 to April 2015 (n = 3371) were analysed. A 25-item frailty index (FI) estimated frailty levels at CR admission and completion. FI improvements were determined by calculating the difference between admission and discharge FI. CR data were linked to administrative health data to examine 5-year outcomes [due to all causes and cardiovascular diseases (CVDs)]. Cox regression, Fine-Gray models, and negative binomial hurdle models were used to determine the association between FI and outcomes. On average, patients were 61.9 (SD: 10.7) years old and 74% were male. Mean admission FI scores were 0.34 (SD: 0.13), which improved by 0.07 (SD: 0.09) by CR completion. Admission FI was associated with time to mortality [HRs/IRRs per 0.01 FI increase: all causes = 1.02(95% CI 1.01,1.04); CVD = 1.03(1.02,1.05)], hospitalization [all causes = 1.02(1.01,1.02); CVD = 1.02(1.01,1.02)], ED visit [all causes = 1.01(1.00,1.01)], and the number of hospitalizations [all causes = 1.02(95% CI 1.01,1.03); CVD = 1.02(1.00,1.04)], hospital days [all causes = 1.01(1.01,1.03)], and ED visits [all causes = 1.02(1.02,1.03)]. FI improvements during CR had a protective effect regarding time to all-cause hospitalization [0.99(0.98,0.99)] but were not associated with other outcomes., Conclusion: Frailty status at CR admission was related to long-term adverse outcomes. Frailty improvements during CR were associated with delayed all-cause hospitalization, in which a larger effect was associated with a greater chance of improved outcome., Competing Interests: Conflict of interest: J.Q., D.S.K., N.G., C.M., C.B., OT, and W.F.: none; K.R. has asserted copyright of the Clinical Frailty Scale through Dalhousie University’s Industry, Liaison, and Innovation Office. Use is free for education, research, and not-for-profit health care. Users agree not to change or commercialize the scale. In addition to academic and hospital appointments, K.R. is cofounder of Ardea Outcomes, which (as DGI Clinical) in the last 3 years has contracts with pharma and device manufacturers (Biogen, Hollister, INmune, Novartis, Nutricia, and Takeda) on individualized outcome measurement. In 2019, K.R. was paid an honorarium for an interview with Biogen. In 2020, he attended an advisory board meeting with Nutricia on dementia and chaired a scientific workshop and technical review panel on frailty for the Singapore National Research Foundation. Otherwise, any personal fees were for invited guest lectures, rounds, and academic symposia, received directly from event organizers for presentations on frailty. K.R. is an associate director of the Canadian Consortium on Neurodegeneration in Aging, which is funded by the Canadian Institutes for Health Research, the Alzheimer Society of Canada, and several other charities., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Incidence and survival of breast cancer, the most common cancer among women, have been increasing, leaving survivors at risk of aging-related health conditions. In this matched cohort study, we examined frailty risk with the Hospital Frailty Risk Score among breast cancer survivors (n = 34,900) and age-matched comparison subjects (n = 290,063). Women born in 1935-1975, registered in the Swedish Total Population Register (1991-2015), were eligible for inclusion. Survivors had a first breast cancer diagnosis in 1991-2005 and survived ≥5 years after initial diagnosis. Death date was determined by linkage to the National Cause of Death Registry (through 2015). Cancer survivorship was weakly associated with frailty (subdistribution hazard ratio (SHR) = 1.04, 95% confidence interval (CI): 1.00, 1.07). In age-stratified models, those diagnosed at younger ages (<50 years) had higher risk of frailty (SHR = 1.12, 95% CI: 1.00, 1.24) than those diagnosed at ages 50-65 (SHR = 1.03, 95% CI: 0.98, 1.07) or >65 (SHR = 1.09, 95% CI: 1.02, 1.17) years. Additionally, there was increased risk of frailty for diagnoses in 2000 or later (SHR = 1.15, 95% CI: 1.09, 1.21) compared with before 2000 (SHR = 0.97, 95% CI: 0.93, 1.17). This supports work from smaller samples showing that breast cancer survivors have increased frailty risk, particularly when diagnosed at younger ages., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Background: cumulative evidence from cohort studies suggested that there were inconsistent conclusions as to whether there was a bidirectional association between depression and frailty. Therefore, this study used a bidirectional two-sample Mendelian randomisation (MR) study to investigate the causal relationship between depression and frailty., Methods: we performed univariate and multivariate bidirectional MR analyses to assess the causal association between depression and frailty. Independent genetic variants associated with depression and frailty were selected as instrumental variables. Inverse variance weighted (IVW), MR-Egger, weighted median and weighted mode were mainly used in univariate MR analysis. Multivariate MR (MVMR) analyses used multivariable inverse variance-weighted methods to individually and jointly adjust for three potential confounders, body mass index (BMI), age at menarche (AAM) and waist-to-hip ratio (WHR, adjusted for BMI)., Results: univariate MR analysis showed a positive causal relationship between depression and risk of frailty (IVW, odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.23-1.37, P = 6.54E-22). Causal relationship between frailty and risk of depression (IVW, OR = 1.69, 95% CI = 1.33-2.16, P = 2.09E-05). MVMR analysis revealed that the bidirectional causal association between depression and frailty remained after adjusting for three potential confounders, BMI, AAM and WHR (adjusted for BMI), individually and in combination., Conclusions: our findings supported a causal relationship between genetically predicted depression and frailty in both directions., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Anticholinergic medicines are associated with adverse outcomes for older people. However, little is known about their use in frailty. The objectives were to (i) investigate the prevalence of anticholinergic prescribing for older patients, and (ii) examine anticholinergic burden according to frailty status., Methods: Cross-sectional analysis of Welsh primary care data from the Secure Anonymised Information Linkage databank including patients aged ≥65 at their first GP consultation between 1 January and 31 December 2018. Frailty was identified using the electronic Frailty Index and anticholinergic burden using the Anticholinergic Cognitive Burden (ACB) scale. Descriptive analysis and logistic regression were conducted to (i) describe the type and frequency of anticholinergics prescribed; and (ii) to estimate the association between frailty and cumulative ACB score (ACB-Sum)., Results: In this study of 529,095 patients, 47.4% of patients receiving any prescription medications were prescribed at least one anticholinergic medicine. Adjusted regression analysis showed that patients with increasing frailty had higher odds of having an ACB-Sum of >3 compared with patients who were fit (mild frailty, adj OR 1.062 (95%CI 1.061-1.064), moderate frailty, adj OR 1.134 (95%CI 1.131-1.136), severe frailty, adj OR 1.208 (95%CI 1.203-1.213))., Conclusions: Anticholinergic prescribing was high in this older population. Older people with advancing frailty are exposed to the highest anticholinergic burden despite being the most vulnerable to the associated adverse effects. Older people with advancing frailty should be considered for medicines review to prevent overaccumulation of anticholinergic medications, given the risks of functional and cognitive decline that frailty presents., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background: intrinsic capacity (IC) is a construct encompassing people's physical and mental abilities. There is an implicit link amongst IC domains: cognition, locomotion, nutrition, sensory and psychological. However, little is known about the integration of the domains., Objectives: to investigate patterns in the presentation and evolution of IC domain impairments in low-and-middle-income countries and if such patterns were associated with adverse outcomes., Methods: secondary analyses of the first two waves of the 10/66 study (population-based surveys conducted in eight urban and four rural catchment areas in Cuba, Dominican Republic, Puerto Rico, Venezuela, Peru, Mexico and China). We applied latent transition analysis on IC to find latent statuses (latent clusters) of IC domain impairments. We evaluated the longitudinal association of the latent statuses with the risk of frailty, disability and mortality, and tested concurrent and predictive validity., Results: amongst 14,923 participants included, the four latent statuses were: high IC (43%), low deterioration with impaired locomotion (17%), high deterioration without cognitive impairment (22%), and high deterioration with cognitive impairment (18%). A total of 61% of the participants worsened over time, 35% were stable, and 3% improved to a healthier status.Participants with deteriorated IC had a significantly higher risk of frailty, disability and dementia than people with high IC. There was strong concurrent and predictive validity. (Mortality Hazard Ratio = 4.60, 95%CI 4.16; 5.09; Harrel's C = 0.73 (95%CI 0.72;0.74))., Conclusions: half of the study population had high IC at baseline, and most participants followed a worsening trend. Four qualitatively different IC statuses or statuses were characterised by low and high levels of deterioration associated with their risk of disability and frailty. Locomotion and cognition impairments showed other trends than psychological and nutrition domains across the latent statuses., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Background: frailty screening facilitates the stratification of older adults at most risk of adverse events for urgent assessment and subsequent intervention. We assessed the validity of the Identification of Seniors at Risk (ISAR), Clinical Frailty Scale (CFS), Programme on Research for Integrating Services for the Maintenance of Autonomy seven item questionnaire (PRISMA-7) and InterRAI-ED at predicting adverse outcomes at 30 days and 6 months amongst older adults presenting to the Emergency Department (ED)., Methods: a prospective cohort study of adults ≥65 years who presented to the ED was conducted. The ISAR, CFS, PRISMA-7 and InterRAI-ED were assessed. Blinded follow-up telephone interviews were completed at 30 days and 6 months to assess the incidence of mortality, ED re-attendance, hospital readmission, functional decline and nursing home admission. The sensitivity, specificity, negative predictive value and positive predictive value of the screening tools were calculated using 2 × 2 tables., Results: a total of 419 patients were recruited; 47% female with a mean age of 76.9 (Standard deviation = 7.2). The prevalence of frailty varied across the tools (CFS 57% versus InterRAI-ED 70%). At 30 days, the mortality rate was 5.1%, ED re-attendance 18.1%, hospital readmission 14%, functional decline 47.6% and nursing home admission 7.1%. All tools had a high sensitivity and positive predictive value for predicting adverse outcomes., Conclusion: older adults who screened positive for frailty were at significantly increased risk of experiencing an adverse outcome at 30 days with the ISAR being the most sensitive tool. We would recommend the implementation of the ISAR in the ED setting to support clinicians in identifying older adults most likely to benefit from specialised geriatric assessment and intervention., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Aims: Frailty substantially increased the risk of adverse clinical outcomes, which was also critical in diabetes management. This study aimed to investigate the interrelationships between the age of onset, frailty, anti-diabetic medications and clinical outcomes in people with diabetes mellitus (DM)., Methods: A total of 123,172 people aged 40 years and older who were newly diagnosed with DM were identified and categorised into four frailty subgroups (robust, mild, moderate and severe) based on the multimorbidity frailty index (mFI). Cox proportional hazards models were used to examine associations between frailty and clinical outcomes at different ages of DM onsets (40-64, 65-74, 75-84 and 85+ years). Outcomes of interest included generic outcomes (mortality and unplanned hospitalisation) and DM-related outcomes (cardiovascular disease-related mortality, major adverse cardiovascular events (MACEs), diabetes-related hospitalisation and hypoglycaemia)., Results: The proportion of frailty increased with age at diagnosis amongst people with incident DM and the mFI scores increased significantly during the 10-year follow-up. Amongst people with diabetes, those with mild, moderate and severe frailty were associated with greater risks of all-cause mortality (mild: adjusted hazard ratio (aHR) 1.69 [95% confidence interval (CI) 1.60-1.80], P < 0.01; moderate: aHR 2.46 [2.29-2.65], P < 0.01; severe frailty: aHR 3.40 [3.16-3.65], P < 0.01) compared with the robust group. Similar results were found in unplanned hospitalisations, cardiovascular disease-related mortality, MACEs and hypoglycaemia., Conclusions: Our study quantified the prevalence of frailty, captured its dynamic changes and examined its impacts on various clinical outcomes amongst people with diabetes at different ages at onset. Frailty assessment and management should be implemented into routine diabetes care., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)