Association Between Frailty and Head Impact Location After Ground-Level Fall in Older Adults.

BACKGROUND: Mild traumatic brain injuries (TBIs) are highly prevalent in older adults, and ground-level falls are the most frequent mechanism of injury. OBJECTIVE: This study aimed to assess whether frailty was associated with head impact location among older patients who sustained a ground-level fall-related, mild TBI. The secondary objective was to measure the association between frailty and intracranial hemorrhages. METHODS: We conducted a planned sub-analysis of a prospective observational study in two urban university-affiliated emergency departments (EDs). Patients 65 years and older who sustained a ground-level fall-related, mild TBI were included if they consulted in the ED between January 2019 and June 2019. Frailty was assessed using the Clinical Frailty Scale (CFS). Patients were stratified into the following three groups: robust (CFS score 1-3), vulnerable-frail (CFS score 4-6), and severely frail (CFS score 7-9). RESULTS: A total of 335 patients were included; mean ± SD age was 86.9 ± 8.1 years. In multivariable analysis, frontal impact was significantly increased in severely frail patients compared with robust patients (odds ratio [OR] 4.8 [95% CI 1.4-16.8]; p = 0.01). Intracranial hemorrhages were found in 6.2%, 7.5%, and 13.3% of robust, vulnerable-frail, and severely frail patients, respectively. The OR of intracranial hemorrhages was 1.24 (95% CI 0.44-3.45; p = 0.68) in vulnerable-frail patients and 2.34 (95% CI 0.41-13.6; p = 0.34) in those considered severely frail. CONCLUSIONS: This study found an association between the level of frailty and the head impact location in older patients who sustained a ground-level fall. Our results suggest that head impact location after a fall can help physicians identify frail patients. Although not statistically significant, the prevalence of intracranial hemorrhage seems to increase with the level of frailty.

Predictors of outcomes of patients ≥ 80 years old admitted to intensive care units in Poland - a post-hoc analysis of the VIP2 prospective observational study.

INTRODUCTION: Elderly patients pose a significant challenge to intensive care unit (ICU) clinicians. In this study we attempted to characterise the population of patients over 80 years old admitted to ICUs in Poland and identify associations between clinical features and short-term outcomes. MATERIAL AND METHODS: The study is a post-hoc analysis of the Polish cohort of the VIP2 European prospective observational study enrolling patients > 80 years old admitted to ICUs over a 6-month period. Data including clinical features, clinical frailty scale (CFS), geriatric scales, interventions within the ICU, and outcomes (30-day and ICU mortality and length of stay) were gathered. Univariate analyses comparing frail (CFS > 4) to non-frail patients and survivors to non-survivors were performed. Multivariable models with CFS, activities of daily living score (ADL), and the cognitive decline questionnaire IQCODE as predictors and ICU or 30-day mortality as outcomes were formed. RESULTS: A total of 371 patients from 27 ICUs were enrolled. Frail patients had significantly higher ICU (58% vs. 44.45%, P = 0.03) and 30-day (65.61% vs. 54.14%, P = 0.01) mortality compared to non-frail counterparts. The survivors had significantly lower SOFA score, CFS, ADL, and IQCODE than non-survivors. In multivariable analysis CFS (OR 1.15, 95% CI: 1.00-1.34) and SOFA score (OR 1.29, 95% CI: 1.19-1.41) were identified as significant predictors for ICU mortality; however, CFS was not a predictor for 30-day mortality ( P = 0.07). No statistical significance was found for ADL, IQCODE, polypharmacy, or comorbidities. CONCLUSIONS: We found a positive correlation between CFS and ICU mortality, which might point to the value of assessing the score for every patient admitted to the ICU. The older Polish ICU patients were characterised by higher mortality compared to the other European countries.

Quality of plant-based diets and frailty incidence: a prospective analysis of UK biobank participants.

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 Association between Circadian Syndrome and Frailty in US adults: a cross-sectional study of NHANES Data from 2007 to 2018.

PURPOSE: Frailty and Circadian Syndrome (CircS) are prevalent among the elderly, yet the link between them remains underexplored. This study aims to examine the association between CircS and frailty, particularly focusing on the impact of various CircS components on frailty. MATERIALS AND METHODS: We conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018. The 49-item Frailty Index (FI) was employed to assess frailty. To understand the prevalence of CircS in relation to frailty, we applied three multivariate logistic regression models. Additionally, subgroup and interaction analyses were performed to investigate potential modifying factors. RESULTS: The study included 8,569 participants. In fully adjusted models, individuals with CircS showed a significantly higher risk of frailty compared to those without CircS (Odds Ratio [OR] = 2.18, 95% Confidence Interval [CI]: 1.91-2.49, p < 0.001). A trend of increasing frailty risk with greater CircS component was observed (trend test p < 0.001). Age (p = 0.01) and race (p = 0.02) interactions notably influenced this association, although the direction of effect was consistent across subgroups. Sensitivity analysis further confirmed the strength of this relationship. CONCLUSION: This study identifies a strong positive correlation between CircS and frailty in the elderly. The risk of frailty escalates with an increasing number of CircS components. These findings highlight the intricate interplay between circadian syndrome and frailty in older adults, offering valuable insights for developing targeted prevention and intervention strategies.

Prevalence of Frailty Phenotypes in Older People Living with HIV: A Cross-Sectional Study from Brazil.

BACKGROUND: Frailty may affect people living with HIV (PLHIV) prematurely. Fried's frailty phenotype, composed of 5 criteria, is one of the most used instruments for its assessment. This study aimed to determine the prevalence of these criteria among PLHIV classified as prefrail and frail in Brazil. METHODS: A cross-sectional study analyzed the prevalence of the Frailty Phenotype in Brazil with 670 individuals aged ≥ 50 years and undetectable viral load. RESULTS: The prevalence of prefrail and frail individuals was 50.7% and 13.6%, respectively. A low level of physical activity was the most prevalent criterion (50.9%). Except for unintentional weight loss, all other criteria were more prevalent among individuals with lower education levels. All criteria were more prevalent among individuals of lower socioeconomic status than among those of moderate or high status (P < .05). CONCLUSIONS: A low level of physical activity was the component that most contributed to PLHIV being considered prefrail or frail.

Frailty and poor physical functioning as risk factors for driving cessation.

Introduction: Frailty and low physical performance are modifiable factors and, therefore, targets for interventions aimed at delaying driving cessation (DC). The objective was to determine the impact of frailty and physical performance on DC. Methods: Multisite prospective cohort of older drivers. The key inclusion criteria are as follows: active driver age 65-79 years, possessing a valid driver's license, without significant cognitive impairment, and driving a 1996 car or a newer model car. Of the 2,990 enrolled participants, 2,986 (99.9%) had at least one frailty or Short Physical Performance Battery (SPPB) measure and were included in this study. In total, 42% of participants were aged 65-69 years, 86% were non-Hispanic white, 53% were female, 63% were married, and 41% had a high degree of education. The Fried Frailty Phenotype and the Expanded Short Physical Performance Battery (SPPB) from the National Health and Aging Trends Study were utilized. At each annual visit, DC was assessed by the participant notifying the study team or self-reporting after no driving activity for at least 30 days, verified via GPS. Cox proportional hazard models, including time-varying covariates, were used to examine the impact of the SPPB and frailty scores on time to DC. This assessment included examining interactions by sex. Results: Seventy-three participants (2.4%) stopped driving by the end of year 5. Among women with a fair SPPB score, the adjusted hazard ratio (HR) of DC was 0.26 (95% confidence interval (CI) 0.10-0.65) compared to those with a poor SPPB score. For those with a good SPPB score, the adjusted HR of DC had a p-value of <0.001. Among men with a fair SPPB score, the adjusted hazard ratio (HR) of DC was 0.45 (95% CI 0.25-0.81) compared to those with a poor SPPB score. For men with a good SPPB score, the adjusted HR of DC was 0.19 (95% CI 0.10-0.36). Sex was not an effect modifier between frailty and DC. For those who were categorized into pre-frail or frail, the adjusted ratio of HR to DC was 6.1 (95% CI 2.7-13.8) compared to those who were not frail. Conclusion and relevance: Frailty and poor physical functioning are major risk factors for driving cessation. Staying physically active may help older adults to extend their driving life expectancy and mobility.

The feasibility, acceptability and appropriateness of screening for frailty in Australians aged 75 years and over attending Australian general practice.

Background Globally, frailty is associated with a high prevalence of avoidable hospital admissions and emergency department visits, with substantial associated healthcare and personal costs. International guidelines recommend incorporation of frailty identification and care planning into routine primary care workflow to support patients who may be identified as pre-frail/frail. Our study aimed to: (1) determine the feasibility, acceptability, appropriateness and determinants of implementing a validated FRAIL Scale screening Tool into general practices in two disparate Australian regions (Sydney North and Brisbane South); and (2) map the resources and referral options required to support frailty management and potential reversal. Methods Using the FRAIL Scale Tool, practices screened eligible patients (aged ≥75years) for risk of frailty and referred to associated management options. The percentage of patients identified as frail/pre-frail, and management options and referrals made by practice staff for those identified as frail/pre-frail were recorded. Semi-structured qualitative interviews were conducted with practice staff to understand the feasibility, acceptability, appropriateness and determinants of implementing the Tool. Results The Tool was implemented by 19 general practices in two Primary Health Networks and 1071 consenting patients were assessed. Overall, 80% of patients (n =860) met the criterion for frailty: 33% of patients (n =352) were frail, and 47% were pre-frail (n =508). They were predominantly then referred for exercise prescription, medication reviews and geriatric assessment. The Tool was acceptable to staff and patients and compatible with practice workflows. Conclusions This study demonstrates that frailty is identified frequently in Australians aged ≥75years who visit their general practice. It's identification, linked with management support to reverse or reduce frailty risk, can be readily incorporated into the Medicare-funded annual 75+ Health Assessment.

The bidirectional relationship between activities of daily living and frailty during short-and long-term follow-up period among the middle-aged and older population: findings from the Chinese nationwide cohort study.

Objective: Frailty and activities of daily living (ADL) disability are common conditions among older population. Studies on the bidirectional relationship between frailty and ADL are limited. The current study examined the cross-sectional and longitudinal associations between frailty and ADL in middle-aged and older Chinese individuals. Methods: The data was collected through the China Health and Retirement Longitudinal Study (CHARLS), conducted in 2011, 2013, and 2015, encompassing 17,284 individuals aged ≥45 years. We excluded individuals without follow-up data. 2,631 participants finished the baseline survey. The definition of ADL disability encompasses difficulty in engaging in either basic activities of daily living (BADL) or instrumental activities of daily living (IADL). Frailty was assessed according to the Fried criteria. Logistic regression was utilized to examine odds ratios (ORs) and 95% confidence intervals (CIs) for assessing the cross-sectional relationships between ADL with frailty at baseline. The prediction effects were explored using Cox proportional hazards analysis, testing hazard ratios (HRs) and 95%CIs. Results: In cross-sectional analysis, BADL [OR = 6.660 (4.519-9.815)], IADL [OR = 5.950 (4.490-7.866)], and ADL [OR = 5.658 (4.278-7.483)] exhibited significant associations with frailty; frailty demonstrated significant associations with BADL [OR = 6.741 (4.574-9.933)], IADL [OR = 6.042 (4.555-8.016)] and ADL [OR = 5.735 (4.333-7.591)]. In longitudinal analysis, IADL and ADL were significantly associated with frailty in participants without baseline frailty in the short-term period [IADL: HR = 1.971 (1.150-3.379), ADL: HR = 1.920 (1.146-3.215)], IADL exhibited a significant association with frailty in the long-term period [HR = 2.056 (1.085-3.895)]. There was no significant link observed between frailty and an elevated risk of disability onset in BADL, IADL and ADL during the short-term period. When considering the long-term perspective, frailty exhibited a significant association with an elevated risk of disability onset in BADL [HR= 1.820 (1.126-2.939)] and IADL [HR = 1.724 (1.103-2.694)]. Conclusion: In middle-aged and older adults, ADL and IADL disability predicted frailty after 2-year follow-up, IADL disability predicted frailty after 4-year follow-up. Moreover, frailty did not predict BADL, IADL and ADL disability after 2-year follow-up. However, frailty predicted BADL and IADL disability after 4-year follow-up.

Association of frailty with the use of health services in older adults: a secondary analysis of the Mexican Health and Aging Study.

BACKGROUND: Frailty has been related to adverse outcomes, but evidence on its association with the use of health services is still scarce. OBJECTIVE: The purpose of this work was to determine the association of frailty with the use of health services in Mexican adults older than 60 years. MATERIAL AND METHODS: Analysis of the Mexican Health and Aging Study for the years 2015 (baseline) and 2018 (follow-up). Frailty was defined with the frailty index. The following outcomes were included: hospitalization, medical visits, major surgery, minor surgical procedures, and dental visits. Competing risk and count analyses (negative binomial regression) were performed. RESULTS: A total of 8,526 individuals were included, whose average age was 70.8%; 55.8% corresponded to the female gender. According to the results, hospitalization days and the number of minor procedures were associated with frailty. CONCLUSIONS: Frailty could be useful in the planning of health services for older adults. On the other hand, its evaluation would allow prioritizing care for those who are at higher risk of adverse outcomes.

ANTECEDENTES: La fragilidad se ha relacionado con desenlaces adversos, pero aún es escasa la evidencia sobre su asociación con el uso de servicios de salud. OBJETIVO: Evidenciar la asociación de la fragilidad con el uso de servicios de salud en adultos mexicanos mayores de 60 años. MATERIAL Y MÉTODOS: Análisis del Estudio Nacional sobre Salud y Envejecimiento en México para 2015 (basal) y 2018 (seguimiento). La fragilidad se definió con el índice de fragilidad. Fueron incluidos los siguientes desenlaces: hospitalización, visitas médicas, cirugía mayor, procedimientos quirúrgicos menores y visitas al dentista. Se utilizaron modelos de riesgos competitivos y de número de eventos (regresión negativa binomial). RESULTADOS: Se incluyeron 8526 individuos, cuya edad promedio fue de 70.8 %; 55.8 % correspondió al sexo femenino. De acuerdo con los resultados, los días de hospitalización y el número de procedimientos menores se asociaron a fragilidad. CONCLUSIONES: La fragilidad podría ser un parámetro útil en la planeación de los servicios de salud para los adultos mayores. Por otro lado, su evaluación permitiría priorizar la atención a quienes presenten mayor riesgo de desenlaces adversos.

The brain insulin receptor gene network and associations with frailty index.

OBJECTIVE: To investigate longitudinal associations between variations in the co-expression-based brain insulin receptor polygenic risk score and frailty, as well as change in frailty across follow-up. METHODS: This longitudinal study included 1605 participants from the Helsinki Birth Cohort Study. Biologically informed expression-based polygenic risk scores for the insulin receptor gene network, which measure genetic variation in the function of the insulin receptor, were calculated for the hippocampal (hePRS-IR) and the mesocorticolimbic (mePRS-IR) regions. Frailty was assessed in at baseline in 2001-2004, 2011-2013 and 2017-2018 by applying a deficit accumulation-based frailty index. Analyses were carried out by applying linear mixed models and logistical regression models adjusted for adult socioeconomic status, birthweight, smoking and their interactions with age. RESULTS: The FI levels of women were 1.19%-points (95% CI 0.12-2.26, P = 0.029) higher than in men. Both categorical and continuous hePRS-IR in women were associated with higher FI levels than in men at baseline (P < 0.05). In women with high hePRS-IR, the rate of change was steeper with increasing age compared to those with low or moderate hePRS-IR (P < 0.05). No associations were detected between mePRS-IR and frailty at baseline, nor between mePRS-IR and the increase in mean FI levels per year in either sex (P > 0.43). CONCLUSIONS: Higher variation in the function of the insulin receptor gene network in the hippocampus is associated with increasing frailty in women. This could potentially offer novel targets for future drug development aimed at frailty and ageing.

Meat-Egg-Dairy Consumption and Frailty among Chinese Older Adults: Exploring Rural/Urban and Gender Differences.

The dietary patterns of older adults, particularly in relation to meat, egg, and dairy (MED) consumption, significantly impact frailty, a state of heightened vulnerability to adverse health outcomes. This paper investigates the association between MED consumption and frailty among older Chinese adults, considering rural/urban disparities and gender differences. Analyzing data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) spanning from 2008 to 2018, this study explores how MED consumption influences frailty levels over time. The results show that moderate MED consumption is associated with slower frailty progression, suggesting a protective effect against frailty among older adults. However, excessive MED consumption, particularly among rural residents and females, is linked to accelerated frailty progression. Urban residents and males report higher MED consumption levels, possibly due to their greater access to diverse food options and traditional dietary preferences. The findings underscore the complex interplay between dietary habits, demographic factors, and frailty outcomes. Understanding these dynamics is crucial for developing targeted interventions to mitigate frailty risk factors and promote healthy aging among Chinese older adults.

Dose-response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study.

Purpose: Evidence regarding the dose-response curve shapes of physical activity (PA) and sedentary time (ST) in older adults with functional disability (FD) is extremely limited. Moreover, these associations may differ depending on with/without frailty. We examined the dose-response associations between moderate-to-vigorous PA (MVPA) and ST with FD among older adults with/without frailty. Methods: We included 7,480 initially nondisabled adults (3,795 men and 3,685 women) aged 65-84 years in Ota City, Tokyo, Japan. MVPA and ST were evaluated using the International Physical Activity Questionnaire-Short Form. FD was prospectively identified using a nationally unified database of the long-term care insurance system. Frailty was determined using Check-List 15, validated against Fried's frailty criteria. Multivariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of MVPA and ST for FD were calculated, and dose-response curves were examined using restricted cubic splines. Results: During 3.6 years of follow-up, 1,001 (13.4%) participants had FD. Among all participants, compared with no MVPA, the HRs for FD reduced linearly up to approximately 2000 metabolic equivalents (METs)■min/week of MVPA, and the lowest HR (HR: 0.61, 95% CI: 0.51-0.74) was reached at around 3,000-4,000 METs■min/week. Although the shape of this association was consistent regardless of with/without frailty, the magnitude of the association tended to be stronger in frail older adults than in non-frail older adults. Compared with those for the median (300 min/day) of ST, the HRs for FD increased linearly as ST reached approximately 600 min/day or more, independent of MVPA, with a maximum HR of 1.31 (95% CI: 1.01-1.71) for 1,080 min/day among all participants. This association was more pronounced among non-frail older adults but not statistically significant among frail older adults. Conclusion: Higher MVPA levels consistently reduced the incidence of FD regardless of frailty in a significant inverse nonlinear dose-response manner. A significant positive nonlinear dose-response association between ST and FD risk was identified among non-frail older adults but not among frail older adults. Increasing MVPA and reducing prolonged ST are important for preventing FD among non-frail older adults. However, reducing ST alone may be insufficient; increasing MVPA, even if by only small increments, is highly recommended for frail older adults.

Enhancing recruitment of individuals living with frailty, multimorbidity and cognitive impairment to Parkinson's research: experiences from the PRIME-UK cross-sectional study.

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.

A comparison of frailty measures in population-based data for patients with colorectal cancer.

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.

Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index.

Background: Physical frailty is an important issue in aging societies. Three models of physical frailty assessment, the 5-Item fatigue, resistance, ambulation, illness and loss of weight (FRAIL); Cardiovascular Health Study (CHS); and Study of Osteoporotic Fractures (SOF) indices, have been regularly used in clinical and research studies. However, no previous studies have investigated the predictive ability of machine learning (ML) for physical frailty assessment. The aim was to use two ML algorithms, random forest (RF) and extreme gradient boosting (XGBoost), to predict these three physical frailty assessment models. Materials and methods: Questionnaires regarding demographic characteristics, lifestyle habits, living environment, and physical frailty assessment were answered by 445 participants aged 60 years and above. The RF and XGBoost algorithms were used to assess their scores for the three physical frailty indices. Furthermore, feature importance and Shapley additive explanations (SHAP) were used to determine the important physical frailty factors. Results: The XGBoost algorithm obtained higher accuracy for predicting the three physical frailty indices; the areas under the curve obtained by the XGBoost algorithm for the 5-Item FRAIL, CHS, and SOF indices were 0.84. 0.79, and 0.69, respectively. The feature importance and SHAP of the XGBoost algorithm revealed that systolic blood pressure, diastolic blood pressure, age, and body mass index play important roles in all three physical frailty models. Conclusion: The XGBoost algorithm has a more accurate predictive rate than RF across all three physical frailty assessments. Thus, ML can be a useful tool for the early detection of physical frailty.

Adaptation of the Risk Analysis Index for Frailty Assessment Using Diagnostic Codes.

Importance: Frailty is associated with adverse outcomes after even minor physiologic stressors. The validated Risk Analysis Index (RAI) quantifies frailty; however, existing methods limit application to in-person interview (clinical RAI) and quality improvement datasets (administrative RAI). Objective: To expand the utility of the RAI utility to available International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) administrative data, using the National Inpatient Sample (NIS). Design, Setting, and Participants: RAI parameters were systematically adapted to ICD-10-CM codes (RAI-ICD) and were derived (NIS 2019) and validated (NIS 2020). The primary analysis included survey-weighed discharge data among adults undergoing major surgical procedures. Additional external validation occurred by including all operative and nonoperative hospitalizations in the NIS (2020) and in a multihospital health care system (UPMC, 2021-2022). Data analysis was conducted from January to May 2023. Exposures: RAI parameters and in-hospital mortality. Main Outcomes and Measures: The association of RAI parameters with in-hospital mortality was calculated and weighted using logistic regression, generating an integerized RAI-ICD score. After initial validation, thresholds defining categories of frailty were selected by a full complement of test statistics. Rates of elective admission, length of stay, hospital charges, and in-hospital mortality were compared across frailty categories. C statistics estimated model discrimination. Results: RAI-ICD parameters were weighted in the 9 548 206 patients who were hospitalized (mean [SE] age, 55.4 (0.1) years; 3 742 330 male [weighted percentage, 39.2%] and 5 804 431 female [weighted percentage, 60.8%]), modeling in-hospital mortality (2.1%; 95% CI, 2.1%-2.2%) with excellent derivation discrimination (C statistic, 0.810; 95% CI, 0.808-0.813). The 11 RAI-ICD parameters were adapted to 323 ICD-10-CM codes. The operative validation population of 8 113 950 patients (mean [SE] age, 54.4 (0.1) years; 3 148 273 male [weighted percentage, 38.8%] and 4 965 737 female [weighted percentage, 61.2%]; in-hospital mortality, 2.5% [95% CI, 2.4%-2.5%]) mirrored the derivation population. In validation, the weighted and integerized RAI-ICD yielded good to excellent discrimination in the NIS operative sample (C statistic, 0.784; 95% CI, 0.782-0.786), NIS operative and nonoperative sample (C statistic, 0.778; 95% CI, 0.777-0.779), and the UPMC operative and nonoperative sample (C statistic, 0.860; 95% CI, 0.857-0.862). Thresholds defining robust (RAI-ICD <27), normal (RAI-ICD, 27-35), frail (RAI-ICD, 36-45), and very frail (RAI-ICD >45) strata of frailty maximized precision (F1 = 0.33) and sensitivity and specificity (Matthews correlation coefficient = 0.26). Adverse outcomes increased with increasing frailty. Conclusion and Relevance: In this cohort study of hospitalized adults, the RAI-ICD was rigorously adapted, derived, and validated. These findings suggest that the RAI-ICD can extend the quantification of frailty to inpatient adult ICD-10-CM-coded patient care datasets.

Assessing the relationship between multimorbidity, NCD configurations, frailty phenotypes, and mortality risk in older adults.

BACKGROUND: Older adults are increasingly susceptible to prolonged illness, multiple chronic diseases, and disabilities, which can lead to the coexistence of multimorbidity and frailty. Multimorbidity may result in various noncommunicable disease (NCD) patterns or configurations that could be associated with frailty and death. Mortality risk may vary depending on the presence of specific chronic diseases configurations or frailty. METHODS: The aim was to examine the impact of NCD configurations on mortality risk among older adults with distinct frailty phenotypes. The population was analyzed from the Costa Rican Longevity and Healthy Aging Study Cohort (CRELES). A total of 2,662 adults aged 60 or older were included and followed for 5 years. Exploratory factor analysis and various clustering techniques were utilized to identify NCD configurations. The frequency of NCD accumulation was also assessed for a multimorbidity definition. Frailty phenotypes were set according to Fried et al. criteria. Kaplan‒Meier survival analyses, mortality rates, and Cox proportional hazards models were estimated. RESULTS: Four different types of patterns were identified: 'Neuro-psychiatric', 'Metabolic', 'Cardiovascular', and 'Mixt' configurations. These configurations showed a higher mortality risk than the mere accumulation of NCDs [Cardiovascular HR:1.65 (1.07-2.57); 'Mixt' HR:1.49 (1.00-2.22); ≥3 NCDs HR:1.31 (1.09-1.58)]. Frailty exhibited a high and constant mortality risk, irrespective of the presence of any NCD configuration or multimorbidity definition. However, HRs decreased and lost statistical significance when phenotypes were considered in the Cox models [frailty + 'Cardiovascular' HR:1.56 (1.00-2.42); frailty + 'Mixt':1.42 (0.95-2.11); and frailty + ≥ 3 NCDs HR:1.23 (1.02-1.49)]. CONCLUSIONS: Frailty accompanying multimorbidity emerges as a more crucial indicator of mortality risk than multimorbidity alone. Therefore, studying NCD configurations is worthwhile as they may offer improved risk profiles for mortality as alternatives to straightforward counts.

Assessment of frailty, daily life activities, and nutrition of elderly immigrants: A household based cross-sectional study.

With the global migrant population on the rise, it's imperative to focus on the health status of more vulnerable groups within these communities. The elderly immigrants face myriad physical and psychosocial challenges that significantly impact their health and quality of life. This study aims to investigate the nutrition, daily life activities, and clinical frailty status of elderly immigrants residing in Türkiye. A cross-sectional design was employed in the Sultanbeyli District, focusing on Syrian immigrants aged 65 and over. Participants were surveyed face-to-face by interpreters proficient in Arabic. The questionnaire comprised sociodemographic details, health status, and scales like Katz Daily Life Activities, Clinical Frailty, and Mini Nutritional Assessment. The data analysis was executed using SPSS 22. Continuous variables were presented as mean ±â€…standard deviation (SD) and median, while categorical ones were expressed in numbers and percentages (%). A significance level of P < .05 was considered for the analyses. The average age of the participants was determined as 71.64 ±â€…6.20 years. In the study group, 49.7% were female, 75.5% were younger than 75 years old, 47.7% had less than primary school education, 56.3% were married, 42.4% had a low income level, and 56.9% lived in the same household with 5 or more people. Among the participants in the study group, 47% had walking and balance problems, 29.1% had a history of falls in the last year, 10.6% were disabled, 69.5% complained of pain, 82.8% had a chronic illness, and 43% had polypharmacy. The median value of the KATZ Daily Living Activities scale was 6, the mean score of the Clinical Frailty Score scale was 3.25 ±â€…1.25, and the mean score of the Mini Nutritional Assessment scale was 12.40 ±â€…2.15. Among immigrant elderly individuals, 88.1% were able to sustain their lives independently, 13.9% were clinically frail, and 3.3% were at risk of malnutrition. Factors such as age, level of education, socioeconomic status, marital status, number of cohabitants in the household, BMI, neurological problems, walking-balance disorders, disability, and presence of chronic diseases are associated with daily life activities, frailty, and malnutrition status. It is believed that broader field research with greater participation would be beneficial for evaluating the nutritional status of immigrant elderly individuals.

[Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil]. / Diferenças entre homens e mulheres na prevalência da fragilidade e fatores associados entre adultos mais velhos: evidências do ELSI-Brasil.

Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.

Este trabalho, baseado em amostra nacional representativa da população com 50 anos ou mais, objetivou estimar a prevalência da fragilidade entre homens e mulheres, identificar fatores sociodemográficos e de saúde associados e estimar a fração atribuível populacional. Foram utilizados dados da segunda onda (2019-2021) do Estudo Longitudinal da Saúde dos Idosos Brasileiros (ELSI-Brasil). A fragilidade foi classificada pelo número de itens positivos entre perda de peso não intencional, exaustão, baixo nível de atividade física, lentidão da marcha e fraqueza. As análises principais foram baseadas na regressão logística multinomial estratificada por sexo. A prevalência da fragilidade foi menor nos homens (8,6%; IC95%: 6,9; 10,7) do que nas mulheres (11,9%; IC95%: 9,6; 14,8), sendo o item mais frequente o baixo nível de atividade física em ambos. A idade e a escolaridade foram os fatores sociodemográficos associados à pré-fragilidade e à fragilidade entre homens e mulheres. Houve diferença da fração atribuível populacional para fragilidade entre os sexos. Nos homens, a maior fração atribuível populacional foi para não ter companheiro (23,5%; IC95%: 7,7; 39,2) e escolaridade baixa (18,2%; IC95%: 6,6; 29,7). Nas mulheres, maiores frações atribuíveis populacionais foram para déficit de memória (17,1%; IC95%: 7,6; 26,6), déficit da visão (13,4%; IC95%: 5,1; 21,7) e diabetes mellitus (11,4%; IC95%: 4,6; 18,1). Observou-se fração atribuível populacional semelhante para doença cardíaca (8,9%; IC95%: 3,8; 14,1, em mulheres; e 8,8%; IC95%: 2,0; 15,6, em homens). Estratégias voltadas para a prática de atividade física têm o potencial de prevenir a fragilidade em ambos os sexos, enquanto a prevenção de condições crônicas é mais importante nas mulheres.

Este estudio tuvo por objetivo estimar, utilizando una muestra nacional representativa de la población de 50 años o más, la prevalencia de la fragilidad entre hombres y mujeres, identificar los factores sociodemográficos y de salud asociados, y calcular la fracción atribuible a la población. Se utilizaron datos de la 2ª ola (2019-2021) del Estudio Longitudinal de Salud de los Ancianos Brasileños (ELSI-Brasil). La fragilidad se clasificó por el número de elementos positivos entre pérdida de peso no intencional, agotamiento, bajo nivel de actividad física, marcha lenta y debilidad. Los principales análisis se basaron en la regresión logística multinomial estratificada por sexo. La prevalencia de fragilidad fue menor en los hombres (8,6%; IC95%: 6,9; 10,7) que en las mujeres (11,9%; IC95%: 9,6; 14,8), y como ítem más frecuente el bajo nivel de actividad física en ambos. La edad y el nivel educativo fueron los factores sociodemográficos asociados a la pre-fragilidad y la fragilidad entre hombres y mujeres. Hubo una diferencia en fracción atribuible a la población para la fragilidad entre los sexos. Entre los hombres, la fracción atribuible a la población más elevada fue no tener pareja (23,5%; IC95%: 7,7; 39,2) y bajo nivel educativo (18,2%; IC95%: 6,6; 29,7). Entre las mujeres, las fracción atribuible a la población más elevadas fueron déficit de memoria (17,1%; IC95%: 7,6; 26,6), déficit de visión (13,4%; IC95%: 5,1; 21,7) y diabetes mellitus (11,4%; IC95%: 4,6; 18,1). Se observaron fracción atribuible a la población similares para enfermedades cardíacas (8,9%; IC95%: 3,8; 14,1 en mujeres, y 8,8%; IC95%: 2,0; 15,6 en hombres). Las estrategias dirigidas a la actividad física tienen el potencial de prevenir la fragilidad en ambos sexos, mientras que la prevención de enfermedades crónicas es más necesaria en las mujeres.