The correlation between frailty trajectories and adverse outcomes in older patients: A systematic review.

INTRODUCTION: Frailty is a geriatric syndrome that is highly susceptible to adverse health outcomes and is a major burden that exacerbates society's medical care. By investigating the frailty trajectory within the older demographic and initially recognizing its clinical outcomes, we will have more tactics to manage the at-risk population. METHODS: We executed a systematic review of trajectory studies elucidating the connection between frailty and adverse outcomes among older individuals (≥ 65 years) and explored articles published in English and Chinese from the inception of the database until Jun 30, 2024, in PubMed, Web of Science, Embase, The Cochrane Library, CINAHL, Scopus, CNKI, China Online Journals, VIP Information, and SinoMed. RESULTS: The database survey unearthed 3522 articles, of which 21 were deemed eligible. The majority incorporated distinct assessment tools and statistical methodologies to classify frailty trajectories into three groups. Although these frailty trajectories produced inconsistent clinical outcomes, they did reveal trends in the frailty status of older adults. CONCLUSION: The link between frailty trajectories and adverse outcome is a multifaceted and complex process that is currently understudied. More comprehensive and in-depth longitudinal studies should be conducted to explore the mechanism of interaction between the two to obstruct the progression of the frailty trajectory and bolster support for interventions.

Prognostic accuracy of eight frailty instruments for all-cause mortality in Australian primary care.

AIM: To investigate the ability of eight frailty instruments to accurately predict all-cause mortality and other adverse outcomes in Australian primary care patients. METHODS: Study participants included adults aged ≥75 years attending one of three primary care clinics in South Australia. Frailty instruments studied were Fried's frailty phenotype (FFP), the Frailty Index (FI) of cumulative deficits, Kihon Checklist (KCL), the Fatigue Resistance Ambulation Illness and Loss of weight (FRAIL) scale, Groningen Frailty Indicator (GFI), PRISMA-7, Reported Edmonton Frail Scale (REFS), and gait speed. Primary outcomes were all-cause mortality at 12- and 24-months. Secondary outcomes included falls, general practice attendance, hospital admission and emergency department (ED) presentation at 12-months. RESULTS: 243 participants (55.6 % female) with a mean (SD) age of 80.2 (4.6) years were included. 29 participants (16.6 %) were classified as frail at baseline by FFP. All frailty instruments demonstrated a significant ability to predict 12- and 24-month mortality. The REFS showed the highest auROC for both 12- and 24-month mortality. The REFS, Frailty Index, Kihon Checklist, FRAIL scale, and gait speed showed excellent discriminative ability for 12-month mortality (auROC ≥ 0.8 - >0.9), while the remainder showed acceptable discrimination. All frailty instruments, with the exception of the GFI, showed an excellent discriminative ability for 24-month mortality (auROC 0.8-<0.9). CONCLUSIONS: All frailty instruments possessed adequate discriminative ability for all-cause mortality predicting in older primary care patients. Frailty measurement is thus a valuable strategy to identify older patients at risk of mortality and can guide clinical decision-making in primary care settings.

Effectiveness of the frailty index in predicting short-term and long-term mortality risk in patients with chronic heart failure.

OBJECTIVE: This study explored the effectiveness of a newly constructed frailty index (FI) for predicting short-term and long-term mortality in patients with chronic heart failure (HF). MATERIALS AND METHODS: This retrospective study included inpatients aged ≥60 years diagnosed with chronic HF at a teaching hospital in western China. General data on the patients were collected from the electronic medical record system between January 1, 2017, and July 7, 2022, and death information was obtained from follow-up calls made from July 31, 2022, to August 1, 2022. Receiver operating characteristic (ROC) curves were used to analyze the accuracy of the FI in predicting death in patients with chronic HF. Logistic regression (during hospitalization and within 30 days after discharge) and Cox regression (within 180 days after discharge and one year after discharge) analyses were used to assess associations between frailty and mortality risk in elderly patients with chronic HF. RESULTS: A total of 432 patients with chronic HF were included in the study. The non-frail group had FI values <0.3, while the FI values in the frail group were ≥0.3. Overall, 130 patients (30.09 %) were diagnosed with frailty, 66 (15.28 %) died during hospitalization or within 30 days after discharge, 55 (12.73 %) died within 180 days after discharge, and 68 (15.74 %) died within one year after discharge. The in-hospital and 30-day mortality rates, the 180-day mortality rates, and the 1-year mortality rates were higher in frail patients than in non-frail patients (in-hospital and 30-day mortality rates, 37.69 % vs. 5.63 %, P < 0.001; within 180 days, 30.61 % vs. 8.45 %, P < 0.001; within 1 year, 34.69 % vs. 11.49 %, P < 0.001). The area under the curve (AUC) values of FI for predicting in-hospital and 30-day mortality after discharge were 0.804, with values of 0.721 for 180-day mortality after discharge and 0.720 for 1-year mortality after discharge. Logistic regression analysis with adjustment for potential confounders indicated that frail HF patients had a higher risk of death during hospitalization and within 30 days than non-frail patients (odds ratio [OR] = 4.98, 95 % confidence interval [CI]: 2.46-10.09). Cox regression analysis with adjustment for potential confounders showed that frail HF patients had a higher risk of death within 180 days (hazard ratio [HR] = 2.63, 95 %CI: 1.47-4.72) and within 1 year (HR = 2.01, 95 %CI: 1.19-3.38). CONCLUSION: The results of this study showed that the new FI constructed according to the established construction rules could predict the in-hospital mortality and the risk of death within 30 days after discharge, 180 days after discharge, and 1 year after discharge in patients with chronic HF.

Prevalence of strong anticholinergic use in residents with and without cognitive impairment and frailty: Analysis from 106 nursing homes in 12 Asia-Pacific and European countries.

PURPOSE: There is a need to balance the benefits and risks associated with strong anticholinergic medications in older adults, particularly among those with frailty and cognitive impairment. This study explored the international prevalence of strong anticholinergic medication use in residents of nursing homes with and without cognitive impairment and frailty. METHODS: Secondary, cross-sectional analyses of data from 5,800 residents of 106 nursing homes in Australia, China, Czech Republic, England, Finland, France, Germany, Israel, Italy, Japan, Netherlands, and Spain were conducted. Strong anticholinergic medications were defined as medications with a score of 2 or 3 on the Anticholinergic Cognitive Burden scale. Dementia or cognitive impairment was defined as a documented diagnosis or using a validated scale. Frailty was defined using the FRAIL-NH scale as 0-2 (non-frail), 3-6 (frail) and 7-14 (most-frail). Data were analyzed using descriptive statistics. RESULTS: Overall, 17.4 % (n = 1010) residents used ≥1 strong anticholinergic medication, ranging from 1.3 % (n = 2) in China to 27.1 % (n = 147) in Italy. The most prevalent strong anticholinergics were quetiapine (n = 290, 5.0 % of all residents), olanzapine (132, 2.3 %), carbamazepine (102, 1.8 %), paroxetine (88, 1.5 %) and amitriptyline (87, 1.5 %). Prevalence was higher among residents with cognitive impairment (n = 602, 17.9 %) compared to those without (n = 408, 16.8 %), and among residents who were most frail (n = 553, 17.9 %) compared to those who were frail (n = 286, 16.5 %) or non-frail (n = 171, 17.5 %). CONCLUSIONS: One in six residents who were most frail and living with cognitive impairment used a strong anticholinergic. However, there was a 20-fold variation in prevalence across the 12 countries. Targeted deprescribing interventions may reduce potentially avoidable medication-harm.

Intrinsic capacity transitions as predictors of frailty transitions in community-dwelling older adults: Findings from the Korean Frailty and Aging Cohort Study.

BACKGROUND: Frailty is associated with reduced intrinsic capacity (IC). However, studies evaluating longitudinal transitions between IC and frailty are limited. We conducted longitudinal analyses to investigate the association between intrinsic capacity (IC) and frailty transitions among community-dwelling older adults in Korea. METHODS: A total of 2,345 older adults who completed baseline and two-year follow-up surveys were selected from the Korean Frailty and Aging Cohort Study. IC was measured in five domains: locomotion, vitality, cognition, psychology, and sensory function. Frailty was defined using the Fried frailty phenotype. Transitions in IC and frailty were assessed. Logistic regression analysis was used to analyze the association between baseline IC, IC transitions, and frailty transitions. RESULTS: During the two-year follow-up, 17.8 % of participants improved, 20.4 % worsened, and 61.8 % maintained the same frailty status. Low IC (odds ratio [OR]=1.93; 95 % confidence interval [CI]=1.42-2.61) significantly predicted remaining frail or worsening frailty. Worsened IC increased the risk of remaining frail or worsening frailty, whereas improved IC decreased this risk. Among the IC domains, the onset of new locomotion (OR=3.33; 95 % CI=2.39-4.64), vitality (OR=2.12; 95 % CI=1.55-2.91), and psychological (OR=3.61; 95 % CI=2.64-4.92) impairment predicted remaining frail or worsening frailty. CONCLUSIONS: Low and worsened IC were associated with an increased risk of remaining frail or worsening frailty over two years. These findings indicate that changes in IC can predict frailty transitions, thereby emphasizing the importance of enhancing IC in preventing frailty progression.

Frailty transition and burden on mortality risk in middle-aged and older population: a prospective cohort study.

The effect of frailty transition and burden on the risk of all-cause mortality in South Korea remains unclear. This study aimed to investigate the risk of all-cause mortality using the most recent frailty index (FI), changes in FI, and frailty burden. We analyzed data from the Korean Genome and Epidemiology Study (2013-2020). A total of 3,134 participants aged 53-87 years with a computable FI based on the osteoporotic fracture index during their initial visit. The FI was updated biennially during re-examinations and changes between the initial and last visits were categorized into four groups: (1) improved or maintained to non-frail, (2) worsened to pre-frail, (3) improved or maintained to pre-frail, and (4) worsened or maintained to frail. We used the Cox proportional hazards model, adjusted for age, sex, education, lifestyle factors, and diseases. During the follow-up, 218 participants died. Compared to those who were robust at the last visit, pre-frailty and frailty were associated with an increased risk of all-cause death. Of those who visited > 2 times, 62.3% improved or remained robust, and had a decreased risk of all-cause death. Those with > 63% of pre-frailty or frailty burden significantly higher risk of death, with > 60% increase compared to their non-frail counterparts. Maintaining or achieving robustness is associated with a decreased risk of mortality. To prevent premature death and extend healthy life expectancy, identifying biological aging through surrogate measures and implementing interventions to maintain or achieve a robust health status are needed.

Impact of frailty in older people on health care demand: simulation modelling of population dynamics to inform service planning.

Background: As populations age, frailty and the associated demand for health care increase. Evidence needed to inform planning and commissioning of services for older people living with frailty is scarce. Accurate information on incidence and prevalence of different levels of frailty and the consequences for health outcomes, service use and costs at population level is needed. Objectives: To explore the incidence, prevalence, progression and impact of frailty within an ageing general practice population and model the dynamics of frailty-related healthcare demand, outcomes and costs, to inform the development of guidelines and tools to facilitate commissioning and service development. Study design and methods: A retrospective observational study with statistical modelling to inform simulation (system dynamics) modelling using routine data from primary and secondary health care in England and Wales. Modelling was informed by stakeholder engagement events conducted in Hampshire, England. Data sources included the Royal College of General Practitioners Research and Surveillance Centre databank, and the Secure Anonymised Information Linkage Databank. Population prevalence, incidence and progression of frailty within an ageing cohort were estimated using the electronic Frailty Index tool, and associated service use and costs were calculated. Association of frailty with outcomes, service use and costs was explored with multistate and generalised linear models. Results informed development of a prototype system dynamics simulation model, exploring population impact of frailty and future scenarios over a 10-year time frame. Simulation model population projections were externally validated against retrospective data from Secure Anonymised Information Linkage. Study population: The Royal College of General Practitioners Research and Surveillance Centre sample comprised an open cohort of the primary care population aged 50 + between 2006 and 2017 (approx. 2.1 million people). Data were linked to Hospital Episode Statistics data and Office for National Statistics death data. A comparable validation data set from Secure Anonymised Information Linkage was generated. Baseline measures: Electronic Frailty Index score calculated annually and stratified into Fit, Mild, Moderate and Severe frailty categories. Other variables included age, sex, Index of Multiple Deprivation score, ethnicity and Urban/rural. Outcomes: Frailty transitions, mortality, hospitalisations, emergency department attendances, general practitioner visits and costs. Findings: Frailty is already present in people aged 50-64. Frailty incidence was 47 cases per 1000 person-years. Frailty prevalence increased from 26.5% (2006) to 38.9% (2017). Older age, higher deprivation, female sex, Asian ethnicity and urban location independently predict frailty onset and progression; 4.8% of 'fit' people aged 50-64 years experienced a transition to a higher frailty state in a year, compared to 21.4% aged 75-84. Individual healthcare use rises with frailty severity, but Mild and Moderate frailty groups have higher overall costs due to larger population numbers. Simulation projections indicate frailty will increase by 7.1%, from 41.5% to 48.7% between 2017 and 2027, and associated costs will rise by £5.8 billion (in England) over an 11-year period. Conclusions: Simulation modelling indicates that frailty prevalence and associated service use and costs will continue to rise in the future. Scenario analysis indicates reduction of incidence and slowing of progression, particularly before the age of 65, has potential to substantially reduce future service use and costs, but reducing unplanned admissions in frail older people has a more modest impact. Study outputs will be collated into a commissioning toolkit, comprising guidance on drivers of frailty-related demand and simulation model outputs. Study registration: This study is registered as NCT04139278 www.clinicaltrials.gov. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 16/116/43) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 44. See the NIHR Funding and Awards website for further award information.

More people are living longer with long-term medical conditions or disabilities. They are more likely to be admitted to hospital and need health care. People with these vulnerabilities are living with 'frailty', which can be mild, moderate or severe. Our research is aimed to produce information on how common frailty is, how it changes over time, what can influence it getting worse, and how it will impact our future population. We analysed two large data sets from England and Wales (2006­17) to find out the numbers of people aged 50 + living with frailty, their characteristics (e.g. age, sex, living in deprived areas) and how these influenced frailty occurring and worsening. We explored how often they used general practitioner/hospital services and how much that cost. This information was used in a computer model to predict what would happen in the future. The proportion of people with frailty increased from 26.5% in 2006 to 38.9% in 2017, including large increases in people with mild and moderate frailty. Older age, female sex, Asian ethnicity, and living in more deprived or urban areas, all increased the risk of someone becoming frail, and of their frailty worsening. The large numbers of people with mild and moderate frailty led to the highest costs overall. The computer model predicted that the proportion of people with frailty will increase by another 7.1% between 2017 (41.5%) and 2027 (48.7%), and associated costs will rise by £5.8 billion over an 11-year period. We have estimated how the number of people with frailty and their use of services will continue to rise in the future. Taking action to reduce people's risk of becoming frail, particularly before age 65, and slowing frailty progression can reduce the need for services. We will report this information to people who plan health care so they can provide more effective care for people with frailty.

Health Profile Transitions and the Association With Cognitive Impairment in Older Nursing Home Residents With Suicidal Ideation.

OBJECTIVES: In older U.S. nursing home residents with suicidal ideation (SI), limited studies have longitudinally investigated their health changes as related to cognitive function. This study aimed to identify the health profiles and the transitions between profiles at admission and 90-days and examine the associations with cognitive impairment. METHODS: Using Minimum Data Set 3.0 (2011-15), we identified 10,079 older residents without severe cognitive impairment who reported SI on Patient Health Questionnaire-9. Health profile indicators included at-admission and 90-day post-admission depressive symptoms, frailty, and pain frequency and intensity. Using latent transition analysis, we identified distinct health profiles, examined the transitions between profiles over time, and estimated their associations with cognitive impairment. RESULTS: One third of residents continued to report SI at 90 days. The five health profiles identified at admission were distinctive with varying levels of frailty, depressive symptoms, and pain, from the most severe Profile 1 characterized by frailty, all depressive symptoms, and horrible or frequent pain, to the least severe Profile 5 characterized by pre-frailty, depressed mood, and no pain. The 90-day profiles were mostly consistent. Most residents remained in a similar profile over time. Relative to residents with intact cognition/mild cognitive impairment, those with moderate impairment were less likely to belong to profiles characterized by more depressive symptoms and pain. CONCLUSIONS: Residents with SI had heterogeneous health profiles, which varied by cognitive impairment levels, but showed minimal changes despite being in a medically supervised setting. Findings highlighted the critical need for adequate recognition and management of SI in nursing homes.

Clinical Frailty Scale score is a predictor of short-, mid- and long-term mortality in critically ill older adults (≥ 70 years) admitted to the emergency department: an observational study.

BACKGROUND: The estimated prognos of a patient might influence the expected benefit/risk ratio of different interventions. The main purpose of this study was to investigate the Clinical Frailty Scale (CFS) score as an independent predictor of short-, mid- and long-term mortality in critically ill older adults (aged ≥ 70) admitted to the emergency department (ED). METHODS: This is a retrospective, single-center, observational study, involving critically ill older adults, recruited consecutively in an ED. All patients were followed for 6.5-7.5 years. The effect of CFS score on mortality was adjusted for the following confounders: age, sex, Charlson's Comorbidity Index, individual comorbidities and vital parameters. All patients (n = 402) were included in the short- and mid-term analyses, while patients discharged alive (n = 302) were included in the long-term analysis. Short-term mortality was analysed with logistic regression, mid- and long-term mortality with log rank test and Cox proportional hazard models. The CFS was treated as a continuous variable in the primary analyses, and as a categorical variable in completing analyses. RESULTS: There was a significant association between mortality at 30 days after ED admission and CFS score, adjusted OR (95% CI) 2.07 (1.64-2.62), p < 0.0001. There was a significant association between mortality at one year after ED admission and CFS score, adjusted HR (95% CI) 1.75 (1.53-2.01), p < 0.0001. There was a significant association between mortality 6.5-7.5 years after discharge and CFS score, adjusted HR (95% CI) 1.66 (1.46-1.89), p < 0.0001. Adjusted HRs are also reported for long-term mortality, when the CFS was treated as a categorical variable: CFS-score 5 versus 1-4: HR (95% CI) 1.98 (1.27-3.08); 6 versus 1-4: HR (95% CI) 3.60 (2.39-5.44); 7 versus 1-4: HR (95% CI) 3.95 (2.38-6.55); 8-9 versus 1-4: HR (95% CI) 20.08 (9.30-43.38). The completing analyses for short- and mid-term mortality indicated a similar risk-predictive value of the CFS. CONCLUSIONS: Clinical frailty scale score was independently associated with all-cause short-, mid- and long-term mortality. A nearly doubled risk of death was observed in frail patients. This information is clinically relevant, since individualised treatment and care planning for older adults should consider risk of death in different time perspectives.

The Performance and Associated Risks of the Criteria for Sarcopenic Obesity Proposed by the European Association for the Study of Obesity in a Geriatric Population.

BACKGROUND: There is no gold standard definition of sarcopenic obesity (SO). Our objective is to evaluate the benefit of using the new definition proposed by the European Association for the Study of Obesity (EASO) in older people. METHODS: Data from the Toledo Study of Healthy Aging, a study based on a cohort of community-dwelling older adults, were used. SO was defined according to the EASO and by a composite of the Foundation for the National Institute of Health (FNIH) for the diagnosis of sarcopenia and the WHO's criteria for obesity (Body Mass Index, BMI ≥ 30 kg/m2; waist circumference, >88 cm for women and >102 cm for men). Frailty [Frailty Phenotype (FFP) and Frailty Trait Scale-5 (FTS5)] and disability (Katz Index) statuses were assessed at baseline and at the follow-up (median 2.99 years). Mortality at a 5-year follow-up was also assessed. The Logistic and Cox regression models were used to assess the associations. RESULTS: Of the 1559 subjects (age 74.79 ± 5.76 years; 45.54% men), 30.15% (EASO/ESPEN) vs. 16.36% (FNIH) met the SO criteria (Kappa = 0.42). SO was associated with the prevalence of frailty by both the EASO's [OR(95%CI): FFP: 1.70 (1.33-2.16); FTS-5 binary: 2.29 (1.60-3.27); ß(95%CI): FTS-5 continuous 3.63 (3.00-4.27)] and FNIH+WHO's criteria [OR (95%CI): 2.20 (1.61, 3.00)]. The FNIH + WHO's criteria were cross-sectionally associated with disability [OR: 1.52 (1.07, 2.16); p-value 0.018], while the EASO's criteria were not. The EASO's criteria did not show any association at the follow-up, while the FNIH + WHO's criteria were associated with incident frailty. CONCLUSIONS: The EASO's new criteria for sarcopenic obesity demonstrate moderate agreement with the traditional definition and are cross-sectionally associated with adverse events, but they do not effectively predict the outcomes generally associated with sarcopenic obesity in older adults. Therefore, the performance of the EASO's criteria in older people raises the need for refinement before recommending it for generalized use in this population.

Occurrence of Malnutrition among Seniors in Poland Depending on the Place of Residence: An Analysis of Socioeconomic and Health Risk Factors.

The aging population in Poland poses significant socioeconomic and health challenges, particularly regarding malnutrition among seniors. This study examines the impact of place of residence on the nutritional status and related health outcomes of older adults. Data were collected from 338 community-dwelling seniors and those in long-term care facilities. The results indicate that long-term care residents exhibited significantly higher frailty and depression levels and poorer nutritional status, functional fitness, gait, and balance compared to those in communities. Self-reported quality of life did not differ significantly between groups. Regardless of residence, having a family correlated with better nutritional status, quality of life, and functional fitness and lower frailty and depression levels. Malnutrition was significantly associated with reduced functional fitness across all residences, and well-nourished individuals in care facilities had lower functional fitness than those who were at home. Community-dwelling residents had significantly lower frailty levels, with frailty negatively correlating with nutritional status. Normal nutritional status was linked to higher balance and gait scores, indicating a lower fall risk, with the risk further reduced for those living in community settings. Additionally, normal nutritional status correlated with lower depression levels and higher quality of life, with malnourished individuals experiencing better quality of life in community-dwelling settings. These findings underscore the critical role of residence and family support in elderly nutrition and health outcomes.

Gender differentials in cognitive frailty among older adults in India: a multivariate decomposition approach.

There has been an increasing focus on the interplay between physical frailty and cognitive impairment, as both conditions pose significant risks for life-threatening health complications and are receiving considerable attention in global geriatric health initiatives. A recent consensus introduces "cognitive frailty," denoting the co-existence of physical frailty and cognitive impairment without dementia. This study aims to ascertain the prevalence of cognitive frailty and investigate the factors contributing to gender differentials of cognitive frailty among older adults in India. This study has used the data from the nationally representative survey Longitudinal Ageing Study in India 2017-18. This study included a sample of 13,946 males and 14,989 females aged 60 and above. Descriptive and bivariate analyses were conducted. A proportion test was employed to assess gender disparities and determine the statistical significance of risk factors. Furthermore, multivariate decomposition analysis was performed to identify the extent to which various covariates contribute to explaining the gender differences observed in cognitive frailty. The overall prevalence of cognitive frailty was 4.4%. There was a significant gender difference in cognitive frailty among older adults in India (Difference: 4.3%; p-value < 0.001] with 2.1% (95% CI: 1.8-2.3) older males and 6.4% (95% CI: 6.0-6.8) older females suffering from cognitive frailty. The considerable gender gap in cognitive frailty would be reduced if women had similar levels of education (37% reduction) than men. Results highlight that increasing age, being a woman (AOR: 1.61; 95% CI: 1.33-1.95), out-of-wedlock, less education and non-working status (AOR:2.19; 95% CI: 1.71-2.80) were significantly associated with cognitive frailty. Poor nutritional status, and depression are also prone among the cognitively frail participants. Gender sensitive interventions improving education access for women are crucial. Developing countries like India urgently require a multidimensional approach to ensure appropriate and comprehensive healthcare for the elderly population.

Effect of frailty on unplanned readmission in older adults: A systematic review.

BACKGROUND: Frailty and hospital readmissions are two major problems for older people because of their impact on health, quality of life and healthcare systems. The aims of this study were to investigate the relationship between frailty and unplanned readmissions at 30, 90, 180 days and 1 year in hospitalised older people, and to identify the most relevant tools for assessing readmission risk in different clinical settings to facilitate systematic identification of this high-risk population by healthcare professionals. METHOD: This review was based on a systematic search of the MEDLINE, EMBASE and SCIENCEDIRECT databases for articles published between January 2011 and December 2021 that examined the association between frailty and unplanned readmission in hospitalised adults aged 65 years and over using identified validated tools. RESULTS: 44 eligible studies out of 1362 were included in a descriptive analysis. Sixteen countries were represented with older adults hospitalised in medical, surgical, post-acute care and rehabilitation, and emergency departments. Up to 84.5% of frail older adults had an unplanned readmission. Of the 21 tools identified, the Hospital Frailty Risk Score (HFRS), the Frailty Index (FI), its derivatives, the Clinical Frailty Scale (CFS) and the Fried model were the most widely used and relevant tools for identifying the association between frailty and unplanned readmission. CONCLUSION: Frailty is widely associated with readmission risk in older adults. The HFRS, FI, CFS and Fried model appear to be the most commonly used tools to assess frailty and prevent unplanned readmissions.

Association between physical activity and costs in very mild to moderately frail community-dwelling older adults: a cross-sectional study.

BACKGROUND: Physical activity (PA) plays a vital role in maintaining the functional ability that enables well-being in older age (healthy aging), potentially also saving costs for the healthcare system and society. The aim of this study was to examine the association between PA and healthcare and societal costs in a sample of very mild to moderately frail older adults. METHODS: This cross-sectional study is a secondary analysis using baseline data from the PromeTheus randomized-controlled trial, which included 385 very mild to moderately frail community-dwelling older adults (70 + years) from Germany. Participants self-reported their health-related resource use in the previous 6 months (FIMA questionnaire), which was monetarily valued using standardized unit costs. PA was also self-reported using the German Physical Activity Questionnaire for middle-aged and older adults (German-PAQ-50+) and categorized as 'insufficient'/'sufficient' or 'insufficient'/'moderate'/'high' in accordance with the World Health Organization guidelines for PA. Mean and median healthcare costs (including outpatient, inpatient, rehabilitation, formal care, and medication costs) and societal costs (healthcare costs plus informal care costs) for different PA groups were estimated using generalized linear models and quantile regression, with sociodemographic variables and physical capacity (Short Physical Performance Battery) as covariates. RESULTS: Of the sample, 24% were classified as insufficiently, 23% as moderately, and 54% as highly active. Sufficient PA, especially high PA, was associated with lower costs in the 6 months prior to data collection compared to insufficient PA (-€6,237, 95% CI [-10,656; -1,817] and -€8,333, 95% CI [-12,183; -4,483], respectively). The cost difference between PA intensity groups was largely driven by differences in informal care costs and decreased substantially when physical capacity was accounted for in the analyses; e.g., the mean difference in societal costs between sufficient and insufficient PA decreased from -€7,615 (95% CI [-11,404; -3,825]) to -€4,532 (95% CI [-7,930; -1,133]). CONCLUSION: Promoting PA throughout the lifespan as a means of promoting healthy aging and reducing dependency in old age could potentially provide economic benefits and help to mitigate the economic consequences of an aging population with increasing health and long-term care needs. Future longitudinal studies should attempt to disentangle the mediating and confounding role of physical capacity and health status in the association between PA and costs.

Regional variation in prevalence of frailty in India: Evidence from longitudinal ageing study in India (LASI) wave-1.

Background & objectives Frailty is a geriatric syndrome with clinical and public health implications. It represents the state of increased vulnerability. This study aimed to estimate the prevalence of frailty and pre-frailty by demographic characteristics and geographical regions in India. Furthermore, it also aimed to examine the association of this prevalence with selected health outcomes using data from the Longitudinal Ageing Study of India (LASI). Methods This is a secondary analysis of LASI wave-1 data. A total of 26,058 respondents aged ≥60 yr were included for analysis. Frailty was assessed using Fried's frailty phenotype, including slowness, shrinking, low physical activity, weakness, and low endurance. Descriptive statistics were used to study frailty distribution. The odds ratio (OR) of health events across the frailty categories was computed using ordinal logistic regression. Results The findings of this study suggest that the prevalence of frailty and pre-frailty was 29.2 and 58.8 per cent, respectively. The prevalence of frailty was higher among women (37.3%), illiterate (37%) and rural residents (31%). It ranged between 14.5 per cent in Uttarakhand and 41.3 per cent in Arunachal Pradesh. Frailty was strongly associated with depression [OR: 2.09, Confidence Interval (CI): 1.98-2.21] and activities of daily living (ADL) difficulty (OR: 1.75, CI: 1.64-1.86). Higher odds were reported for fracture (OR: 1.24, CI: 1.01-1.51) and multimorbidity (OR: 1.18, CI: 1.04-1.33) among frailty. Interpretation & conclusions The heterogeneity of frailty prevalence across States indicates the need for population-specific strategies. A sharp age-related increase in prevalence highlights the need for preventive measures. Furthermore, the high prevalence of frailty among women, illiterate and rural residents indicates the target population for receiving preventive interventions. Lastly, a heterogeneity in frailty prevalence across different States indicates the scope for region-specific programmes.

Predicting frailty domain impairments and mortality with the Hospital Frailty Risk Score among older adults with cancer: the ELCAPA-EDS cohort study.

BACKGROUND: Automated frailty screening tools like the Hospital Frailty Risk Score (HFRS) are primarily validated for care consumption outcomes. We assessed the predictive ability of the HFRS regarding care consumption outcomes, frailty domain impairments and mortality among older adults with cancer, using the Geriatric 8 (G8) screening tool as a clinical benchmark. METHODS: This retrospective, linkage-based study included patients aged ≥70 years with solid tumor, enrolled in the Elderly Cancer Patients (ELCAPA) multicentre cohort study (2016-2020) and hospitalized in acute care within the Greater Paris University Hospitals. HFRS scores, which encompass hospital-acquired problems and frailty-related syndromes, were calculated using data from the index admission and the preceding 6 months. A multidomain geriatric assessment (GA), including cognition, nutrition, mood, functional status, mobility, comorbidities, polypharmacy, incontinence, and social environment, was conducted at ELCAPA inclusion, with computation of the G8 score. Logistic and Cox regressions measured associations between the G8, HFRS, altered GA domains, length of stay exceeding 10 days, 30-day readmission, and mortality. RESULTS: Among 587 patients included (median age 82 years, metastatic cancer 47.0%), 237 (40.4%) were at increased frailty risk by the HFRS (HFRS>5) and 261 (47.5%) by the G8 (G8≤10). Both HFRS and G8 were significantly associated with cognitive and functional impairments, incontinence, comorbidities, prolonged length of stay, and 30-day mortality. The G8 was associated with polypharmacy, nutritional and mood impairment. DISCUSSION: Although showing significant associations with short-term care consumption, the HFRS could not identify polypharmacy, nutritional, mood and social environment impairments and showed low discriminatory ability across all GA domains.

Investigation of the prevalence of functional constipation and its related factors for in older outpatients.

Background: Functional constipation (FC) is a geriatric syndrome that is common in the older adult's population and can seriously affect the quality of life and may be a frequent cause of hospital visits. In this study, we planned to investigate the relationship between FC and its related factors for in older outpatients. Patients and methods: Participants aged 65 and over who applied to the geriatrics outpatient were included in the study. The diagnosis of FC was made according to the presence of the Rome IV criteria. Frailty was screened by the using FRAIL scale, ≥ 3 a score of were evaluated as frail. Participants quality of life was evaluated by Euro-Quality of Life Visual Analog Scale (EQ-VAS). Results: The study included 602 participants. FC prevalence was found 28.7%. In univariate analyses, FC was found related to age, having a diagnosis of depression or Parkinson diseases, frailty, urinary incontinence, sleep disorders, number of chronic diseases, and EQ-VAS. In multivariate analyses, FC was not found to be associated by the frailty while the number of chronic diseases [OR=1.212, 95%CI (1.084-1.355), p=0.001] and EQ-VAS were found to be related [OR=0.988, 95%CI (0.978-0.997), p=0.012]. Conclusion: In the results of this study, FC was not found to be associated by frailty in older outpatients but it emerged as a syndrome that should be screened frequently in patients with a high number of chronic diseases and a low general quality of life.

Assessing the Impact of Frailty on Infection Risk in Older Adults: Prospective Observational Cohort Study.

Background: Infectious diseases are among the leading causes of death and disability and are recognized as a major cause of health loss globally. At the same time, frailty as a geriatric syndrome is a rapidly growing major public health problem. However, few studies have investigated the incidence and risk of infectious diseases in frail older people. Thus, research on frailty and infectious diseases is urgently needed. Objective: The purpose of this study was to evaluate the association between frailty and infectious diseases among older adults aged 65 years and older. Methods: In this prospective observational cohort study, we have analyzed the infectious disease prevalence outcomes of older adults aged 65 years and older who participated in frailty epidemiological surveys from March 1, 2018, to March 2023 in Dalang Town, Dongguan City, and from March 1, 2020, to March 2023 in Guancheng Street, Dongguan City. This study has an annual on-site follow-up. Incidence data for infectious diseases were collected through the Chinese Disease Control and Prevention Information System-Infectious Disease Monitoring and Public Health Emergency Monitoring System. A project-developed frailty assessment scale was used to assess the frailty status of study participants. We compared the incidence rate ratios (IRR) of each disease across frailty status, age, and gender to determine the associations among frailty, gender, age, and infectious diseases. Cox proportional hazards regression was conducted to identify the effect of frailty on the risk of demographic factors and frailty on the risk of infectious diseases, with estimations of the hazard ratio and 95% CI. Results: A total of 235 cases of 12 infectious diseases were reported during the study period, with an incidence of 906.21/100,000 person-years in the frailty group. In the same age group, the risk of infection was higher in men than women. Frail older adults had a hazard ratio for infectious diseases of 1.50 (95% CI 1.14-1.97) compared with healthy older adults. We obtained the same result after sensitivity analyses. For respiratory tract-transmitted diseases (IRR 1.97, 95% CI 1.44-2.71) and gastrointestinal tract-transmitted diseases (IRR 3.67, 95% CI 1.39-10.74), frail older adults are at risk. Whereas no significant association was found for blood-borne, sexually transmitted, and contact-transmitted diseases (IRR 0.76, 95% CI 0.37-1.45). Conclusions: Our study provides additional evidence that frailty components are significantly associated with infectious diseases. Health care professionals must pay more attention to frailty in infectious disease prevention and control.

The association between loneliness and frailty among community-dwelling older adults in five European countries: a longitudinal study.

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: ß = 0.09, 95% CI: 0.03, 0.15; frailty to loneliness: ß = 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 (ß = 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: ß = 0.05, 95% CI: 0.01, 0.10; social frailty to loneliness: ß = 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.

Using Existing Clinical Data to Measure Older Adult Inpatients' Frailty at Admission and Discharge: Hospital Patient Register Study.

BACKGROUND: Frailty is a widespread geriatric syndrome among older adults, including hospitalized older inpatients. Some countries use electronic frailty measurement tools to identify frailty at the primary care level, but this method has rarely been investigated during hospitalization in acute care hospitals. An electronic frailty measurement instrument based on population-based hospital electronic health records could effectively detect frailty, frailty-related problems, and complications as well be a clinical alert. Identifying frailty among older adults using existing patient health data would greatly aid the management and support of frailty identification and could provide a valuable public health instrument without additional costs. OBJECTIVE: We aim to explore a data-driven frailty measurement instrument for older adult inpatients using data routinely collected at hospital admission and discharge. METHODS: A retrospective electronic patient register study included inpatients aged ≥65 years admitted to and discharged from a public hospital between 2015 and 2017. A dataset of 53,690 hospitalizations was used to customize this data-driven frailty measurement instrument inspired by the Edmonton Frailty Scale developed by Rolfson et al. A 2-step hierarchical cluster procedure was applied to compute e-Frail-CH (Switzerland) scores at hospital admission and discharge. Prevalence, central tendency, comparative, and validation statistics were computed. RESULTS: Mean patient age at admission was 78.4 (SD 7.9) years, with more women admitted (28,018/53,690, 52.18%) than men (25,672/53,690, 47.81%). Our 2-step hierarchical clustering approach computed 46,743 inputs of hospital admissions and 47,361 for discharges. Clustering solutions scored from 0.5 to 0.8 on a scale from 0 to 1. Patients considered frail comprised 42.02% (n=19,643) of admissions and 48.23% (n=22,845) of discharges. Within e-Frail-CH's 0-12 range, a score ≥6 indicated frailty. We found a statistically significant mean e-Frail-CH score change between hospital admission (5.3, SD 2.6) and discharge (5.75, SD 2.7; P<.001). Sensitivity and specificity cut point values were 0.82 and 0.88, respectively. The area under the receiver operating characteristic curve was 0.85. Comparing the e-Frail-CH instrument to the existing Functional Independence Measure (FIM) instrument, FIM scores indicating severe dependence equated to e-Frail-CH scores of ≥9, with a sensitivity and specificity of 0.97 and 0.88, respectively. The area under the receiver operating characteristic curve was 0.92. There was a strong negative association between e-Frail-CH scores at hospital discharge and FIM scores (rs=-0.844; P<.001). CONCLUSIONS: An electronic frailty measurement instrument was constructed and validated using patient data routinely collected during hospitalization, especially at admission and discharge. The mean e-Frail-CH score was higher at discharge than at admission. The routine calculation of e-Frail-CH scores during hospitalization could provide very useful clinical alerts on the health trajectories of older adults and help select interventions for preventing or mitigating frailty.