Frailty, but not cognitive impairment, improves mortality risk prediction among those with chronic kidney disease-a nationally representative study.

BACKGROUND: Though older adults with chronic kidney disease (CKD) have a greater mortality risk than those without CKD, traditional risk factors poorly predict mortality in this population. Therefore, we tested our hypothesis that two common geriatric risk factors, frailty and cognitive impairment, and their co-occurrence, might improve mortality risk prediction in CKD. METHODS: Among participants aged ≥ 60 years from National Health and Nutrition Examination Survey (2011-2014), we quantified associations between frailty (physical frailty phenotype) and global/domain-specific cognitive function (immediate-recall [CERAD-WL], delayed-recall [CERAD-DL], verbal fluency [AF], executive function/processing speed [DSST], and global [standardized-average of 4 domain-specific tests]) using linear regression, and tested whether associations differed by CKD using a Wald test. We then tested whether frailty, global cognitive impairment (1.5SD below the mean), or their combination improved prediction of mortality (Cox models, c-statistics) compared to base models (likelihood-ratios) among those with and without CKD. RESULTS: Among 3,211 participants, 1.4% were cognitively impaired, and 10.0% were frail; frailty and cognitive impairment co-occurrence was greater among those with CKD versus those without (1.2%vs.0.1%). Frailty was associated with worse global cognitive function (Cohen's d = -0.26SD,95%CI -0.36,-0.17), and worse cognitive function across all domains; these associations did not differ by CKD (pinteractions > 0.05). Mortality risk prediction improved only among those with CKD when accounting for frailty (p[likelihood ratio test] < 0.001) but not cognitive impairment. CONCLUSIONS: Frailty is associated with worse cognitive function regardless of CKD status. While CKD and frailty improved mortality prediction, cognitive impairment did not. Risk prediction tools should incorporate frailty to improve mortality prediction among those with CKD.

Association of frailty status with overall survival in elderly hypertensive patients: based on the Chinese Longitudinal Healthy Longevity Survey.

BACKGROUND: Hypertension and frailty often coexist in older people. The present study aimed to evaluate the association of frailty status with overall survival in elderly hypertensive patients, using data from the Chinese Longitudinal Healthy Longevity Survey. METHODS: A total of 10,493 elderly hypertensive patients were included in the present study (median age 87.0 years, 58.3% male). Frailty status was assessed according to a 36-item frailty index (FI), which divides elderly individuals into four groups: robustness (FI ≤ 0.10), pre-frailty (0.10 < FI ≤ 0.20), mild-frailty (0.20 < FI ≤ 0.30), and moderate-severe frailty (FI > 0.30). The study outcome was overall survival time. Accelerated failure time model was used to evaluate the association of frailty status with overall survival. RESULTS: During a period of 44,616.6 person-years of follow-up, 7327 (69.8%) participants died. The overall survival time was decreased with the deterioration of frailty status. With the robust group as reference, adjusted time ratios (TRs) were 0.84 (95% confidence interval [CI]: 0.80-0.87) for the pre-frailty group, 0.68 (95% CI: 0.64-0.72) for the mild frailty group, and 0.52 (95% CI: 0.48-0.56) for the moderate-severe frailty group, respectively. In addition, restricted cubic spline analysis revealed a nearly linear relationship between FI and overall survival (p for non-linearity = 0.041), which indicated the overall survival time decreased by 17% with per standard deviation increase in FI (TR = 0.83, 95% CI: 0.82-0.85). Stratified and sensitivity analyses suggested the robustness of the results. CONCLUSIONS: The overall survival time of elderly hypertensive patients decreased with the deterioration of frailty status. Given that frailty is a dynamic and even reversible process, early identification of frailty and active intervention may improve the prognosis of elderly hypertensive patients.

Frailty and in-hospital mortality in older patients with acute exacerbation of COPD: A real-world prospective cohort study.

BACKGROUND: Few evidence exists for the effect of frailty on the patients admitted with an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). OBJECTIVE: We explored the link between frailty and in-hospital death in AECOPD, and whether laboratory indicators mediate this association. METHODS: This was a real-world prospective cohort study including older patients with AECOPD, consisting of two cohorts: a training set (n = 1356) and a validation set (n = 478). The independent prognostic factors, including frail status, were determined by multivariate logistic regression analysis. The relationship between frailty and in-hospital mortality was estimated by multivariable Cox regression. A nomogram was developed to provide clinicians with a quantitative tool to predict the risk of in-hospital death. Mediation analyses for frailty and in-hospital death were conducted. RESULTS: The training set included 1356 patients (aged 86.7 ± 6.6 years), and 25.0 % of them were frail. A nomogram model was created, including ten independent variables: age, sex, frailty, COPD grades, severity of exacerbation, mean arterial pressure (MAP), Charlson Comorbidity Index (CCI), Interleukin-6 (IL-6), albumin, and troponin T (TPN-T). The area under the receiver operating characteristic curve (ROCs) was 0.862 and 0.845 for the training set and validation set, respectively. Patients with frailty had a higher risk of in-hospital death than those without frailty (HR,1.83, 95%CI: 1.14, 2.94; p = 0.013). Furthermore, CRP and albumin mediated the associations between frailty and in-hospital death. CONCLUSIONS: Frailty may be an adverse prognostic factor for older patients admitted with AECOPD. CRP and albumin may be part of the immunoinflammatory mechanism between frailty and in-hospital death.

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.

Oral frailty is associated with mortality independently of physical and psychological frailty among older adults.

BACKGROUND: Although oral frailty is independently associated with an increased risk of mortality, evidence for the usefulness of screening tools for oral frailty is less than that for physical frailty screening tools. We aimed to investigate the relationship between oral frailty and mortality in older adults. METHODS: This prospective cohort study included 11,374 adults aged ≥65 years, who provided valid responses to a baseline mail survey questionnaire from the Kyoto-Kameoka study. Oral frailty status was evaluated using the Oral Frailty Index-8 (range, 0 [best] to 10 [worst]). Participants were classified into four categories according to the Oral Frailty Index-8: robust (score, 0-2), oral pre-frailty (score, 3), oral frailty (score, 4-6), and oral severe frailty (score ≥ 7). Physical and psychological frailty were evaluated using the validated frailty-screening index and defined as a score of ≥3 out of a possible 5 points. Mortality data were collected from 30 July 2011 to 30 November 2016. Hazard ratios (HR) for all-cause mortality were calculated using a multivariable Cox proportional hazards model. RESULTS: During the 5.3-year median follow-up period (57,157 person-years), 1184 deaths were recorded. After adjusting for confounders, including physical and psychological frailty, medical history, and lifestyle, in comparison with a robust oral status, oral pre-frailty (HR, 1.29; 95 % confidence interval [CI], 1.02-1.63), oral frailty (HR, 1.22; 95 % CI, 1.01-1.48), and oral severe frailty (HR, 1.43; 95 % CI, 1.16-1.76) were associated with higher HRs of mortality (p for trend = 0.002). CONCLUSION: Oral frailty is associated with mortality independent of physical and psychological frailty in older adults. The Oral Frailty Index-8 may be useful for identifying individuals at high risk of mortality.

Effect of frailty status on mortality risk among chilean community-dwelling older adults.

INTRODUCTION: The study of frailty and its effect on the risk of mortality in older people is of utmost importance, but understanding the critical factors is still limited. Our main objective was to analyze the association of frailty with all-cause mortality in a prospective community cohort of older people. METHODS: A five-year longitudinal follow-up study was conducted with 1,174 community-dwelling older adults (men and women≥65 years old) from different Family Health Centers and community groups from Chile. We evaluated the functional risk, socioeconomic status, and anthropometric variables. The frailty status was evaluated by modified Fried criteria. RESULTS: The diagnosis of frailty was reached in 290 older adult participants, who had significantly increased 5-year all-cause mortality independently of age, sex, cognitive impairment, and socioeconomic status (adjusted HR 1.51, 1.06-2.15). CONCLUSION: Frailty is a predictor of increased mortality independently of age, sex, socio-economic and cognitive factors.

Longitudinal associations of polypharmacy and frailty with major cardiovascular events and mortality among more than half a million middle-aged participants of the UK Biobank.

BACKGROUND: Studies of the associations of polypharmacy and frailty with adverse health outcomes in middle-aged adults are limited. Furthermore, a potentially stronger association of polypharmacy with adverse health outcomes in frail than in non-frail adults is of interest. OBJECTIVE: To evaluate associations of frailty (assessed using a frailty index) and polypharmacy (defined as taking five or more drugs) with major cardiovascular events, cancer incidence, all-cause, cardiovascular disease-specific, and cancer-specific mortality. METHODS: Cox proportional hazards regression models were used to analyze 501,548 participants of the UK Biobank cohort study aged 40-69 years who were followed up for an average of 12 years. RESULTS: The prevalence of pre-frailty and frailty were 43.2 % and 2.3 %, respectively, and that of polypharmacy was 18.3 %. Although strongly associated with each other, frailty and polypharmacy were independently, statistically significantly associated with major cardiovascular events, cardiovascular disease-specific, and all-cause mortality. In addition, the hazard ratios of polypharmacy were stronger among (pre-)frail than non-frail study participants. No profound associations with cancer incidence and cancer mortality were observed. No sex and age differences were observed. CONCLUSIONS: This large cohort study showed that polypharmacy and frailty are independent risk factors for major cardiovascular events, cardiovascular disease-specific and all-cause mortality in both middle-aged (40-64 years) and older people (≥ 65 years). In addition, the hazard ratios of polypharmacy were stronger among (pre-)frail than non-frail study participants. This underlines the need to avoid polypharmacy as far as possible not only in older but also in middle-aged subjects (40-64 years), especially if they are pre-frail or frail.

Association between frailty, long-term mortality and functional outcomes for older adults undergoing emergency laparotomy.

BACKGROUND: An increasing number of older patients are undergoing emergency laparotomy (EL). Frailty is thought to contribute to adverse outcomes in this group. The best method to assess frailty and impacts on long-term mortality and other important functional outcomes for older EL patients have not been fully explored. METHODS: A prospective multicenter study of older EL patients was conducted across four hospital sites in New Zealand from August 2017 to September 2022. The Clinical Frailty Scale (CFS) was used to measure frailty-defined as a CFS of ≥5. Primary outcomes were 30-day and one-year mortality. Secondary outcomes were postoperative morbidity, admission for rehabilitation, and increased care level on discharge. A multivariate logistic regression analysis was conducted, adjusting for age, sex, and ethnicity. RESULTS: A total of 629 participants were included. Frailty prevalence was 14.6%. Frail participants demonstrated higher 30-day and 1-year mortality-20.7% and 39.1%. Following adjustment, frailty was directly associated with a significantly increased risk of short- and long-term mortality (30-day aRR 2.6, 95% CI 1.5, 4.3, p = <0.001, 1-year aRR 2.0, 95% CI 1.5, 2.8, p < 0.001). Frailty was correlated with a 2-fold increased risk of admission for rehabilitation and propensity of being discharged to an increased level of care, complications, and readmission within 30 days. CONCLUSION: Frailty was associated with increased risk of postoperative mortality up to 1-year and other functional outcomes for older patients undergoing EL. Identification of frailty in older EL patients aids in patient-centered decision-making, which may lead to improvement in outcomes.

Impact of Multidomain Frailty on the Mode of Death in Older Patients With Heart Failure: A Cohort Study.

BACKGROUND: Although frailty is strongly associated with mortality in patients with heart failure (HF), the risk of which specific cause of death is associated with being complicated with frailty is unclear. We aimed to clarify the association between multidomain frailty and the causes of death in elderly patients hospitalized with HF. METHODS: We analyzed data from the FRAGILE-HF cohort, where patients aged 65 years and older, hospitalized with HF, were prospectively registered between 2016 and 2018 in 15 Japanese hospitals before discharge and followed up for 2 years. All patients were assessed for physical, social, and cognitive dysfunction, and categorized into 3 groups based on their number of frailty domains (FDs, 0-1, 2, and 3). Kaplan-Meier survival analysis was used to evaluate the association between the number of FDs and all-cause mortality, whereas Fine-Gray competing risk regression analysis was used for assessing the impact on cause-specific mortality. RESULTS: We analyzed 1181 patients with HF (81 years old in median, 57.4% were male), 530 (44.9%), 437 (37.0%), and 214 (18.1%) of whom were categorized into the FD 0 to 1, FD 2, and FD 3 groups, respectively. During the 2-year follow-up, 240 deaths were observed (99 HF deaths, 34 cardiovascular deaths, and 107 noncardiovascular deaths), and an increase in the number of FD was significantly associated with mortality (Log-rank: P<0.001). The Fine-Gray competing risk analysis adjusted for age and sex showed that FDs 2 (subdistribution hazard ratio, 1.77 [95% CI, 1.11-2.81]) and 3 (2.78, [95% CI, 1.69-4.59]) groups were associated with higher incidence of noncardiovascular death but not with HF and other cardiovascular deaths. CONCLUSIONS: Although multidomain frailty is strongly associated with mortality in older patients with HF, it is mostly attributable to noncardiovascular death and not cardiovascular death, including HF death. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: UMIN000023929.

Improving morbidity and mortality in hip fragility fractures.

PURPOSE OF REVIEW: Hip fragility fractures (HFF) carry high morbidity and mortality for patients and will increase in frequency and in proportion to the average patient age. Provision of effective, timely care for these patients can decrease their morbidity and mortality and reduce the large burden they place on the healthcare system. RECENT FINDINGS: There are associative relationships between prefracture frailty, postoperative delirium and increased morbidity and mortality. The use of a multidisciplinary approach to HFF care has shown improved outcomes in care with focus on modifiable factors including admission to specialty care floor, use of peripheral nerve blocks preoperatively and Anesthesia and Physical Therapy involvement in the care team. Peripheral nerve blocks including pericapsular nerve group (PENG) blocks have shown benefit in lowering morbidity and mortality. SUMMARY: HFF are associated with >40% chance of continued pain and inability to return to prefracture functional status at 1 year as well as >30% mortality at 2 years. In this opinion piece, we will discuss how a multidisciplinary approach that includes Anesthesia as well as utilization of peripheral nerve blocks can help to lessen postoperative issues and improve recovery.

Associations between meat consumption and all-cause and cause-specific mortality in middle-aged and older adults with frailty.

OBJECTIVES: This study aimed to explore the associations between different types of meat consumption and mortality risk among people with frailty. DESIGN: Longitudinal study. SETTING AND PARTICIPANTS: We included 19,913 physically frail participants from the UK Biobank. MEASUREMENTS: We used the validated brief food frequency questionnaire (FFQ) to measure meat consumption. Baseline diet data from 2006 to 2010 were collected, and participants were followed up until March 23, 2021. Cox proportional hazards regression models were conducted to examine the associations of meat consumption with mortality risk. RESULTS: We identified 3,622 all-cause deaths, 1,453 cancer deaths, and 1,663 cardiovascular deaths during a median follow-up time of 11.2 years. Higher consumption of unprocessed poultry (per 25 g/day increment) was associated with a lower risk of all-cause mortality (hazard ratio [HR] 0.81, 95% confidence interval [CI] 0.75-0.88), cancer mortality (HR 0.84, 95% CI 0.74-0.96), and cardiovascular mortality (HR 0.72, 95% CI 0.63-0.81). Consumption of unprocessed red meat had a U-shaped relationship with mortality. Moderate consumption of unprocessed red meat 1.0-1.9 times/week was associated with a 14% (95% CI: 3 %-24%) lower risk of all-cause mortality than the lowest consumption frequency group (0-0.9 times/week). The hazard of cancer and CV mortality was also lower in the 1.0-1.9 times/week group, though the associations were not statistically significant. More frequent consumption of processed meat was associated with an increased risk of all-cause mortality (HR 1.20, 95% CI 1.07-1.34) and cardiovascular mortality (HR 1.20, 95% CI 1.02-1.42). Fish consumption was not associated with all types of mortality. CONCLUSIONS: Higher consumption of processed meat, not fish, was associated with increased all-cause and cardiovascular mortality. In contrast, higher consumption of unprocessed poultry and moderate consumption of unprocessed red meat was associated with reduced all-cause, cancer, and cardiovascular mortality. These findings warrant further investigation to establish optimal dietary patterns for frail individuals.

Trajectories of sleep duration and quality and their association with mild cognitive impairment, frailty, and all-cause mortality.

OBJECTIVES: To identify longitudinal trajectories of sleep duration and quality and estimate their association with mild cognitive impairment, frailty, and all-cause mortality. METHODS: We used data from three waves (2009, 2014, 2017) of the WHO Study on Global Aging and Adult Health in Mexico. The sample consisted of 2722 adults aged 50 and over. Sleep duration and quality were assessed by self-report. Sleep trajectories were determined by applying growth mixture models. Mixed-effects logistic (mild cognitive impairment) and ordinal logistic (frailty), and Cox proportional hazards (all-cause mortality) models were fitted. RESULTS: Three classes for sleep duration ("optimal-stable," "long-increasing," and "short-decreasing") and quality ("very good-increasing," "very good-decreasing," and "moderate/poor stable") were identified. Compared to the optimal-stable group, the long-increasing trajectory had greater odds for mild cognitive impairment (odds ratio=1.68, 95% CI: 1.01-2.78) and frailty (odds ratio=1.66, 95% CI: 1.13-2.46), and higher risk for all-cause mortality (hazard ratio=1.91, 95% CI: 1.14-3.19); and the short-decreasing class had a higher probability of frailty (odds ratio=1.83, 95% CI: 1.26-2.64). Regarding the sleep quality, the moderate/poor stable trajectory had higher odds of frailty (odds ratio=1.71, 95% CI: 1.18-2.47) than very good-increasing group. CONCLUSIONS: These results have important implications for clinical practice and public health policies, given that the evaluation and treatment of sleep disorders need more attention in primary care settings. Interventions to detect and treat sleep disorders should be integrated into clinical practice to prevent or delay the appearance of alterations in older adults' physical and cognitive function. Further research on sleep quality and duration is warranted to understand their contribution to healthy aging.

Frailty model with change points for survival analysis.

We propose a novel frailty model with change points applying random effects to a Cox proportional hazard model to adjust the heterogeneity between clusters. In the specially focused eight Empowered Action Group (EAG) states in India, there are problems with different survival curves for children up to the age of five in different states. Therefore, when analyzing the survival times for the eight EAG states, we need to adjust for the effects among states (clusters). Because the frailty model includes random effects, the parameters are estimated using the expectation-maximization (EM) algorithm. Additionally, our model needs to estimate change points; we thus propose a new algorithm extending the conventional estimation algorithm to the frailty model with change points to solve the problem. We show a practical example to demonstrate how to estimate the change point and the parameters of the distribution of random effect. Our proposed model can be easily analyzed using the existing R package. We conducted simulation studies with three scenarios to confirm the performance of our proposed model. We re-analyzed the survival time data of the eight EAG states in India to show the difference in analysis results with and without random effect. In conclusion, we confirmed that the frailty model with change points has a higher accuracy than the model without a random effect. Our proposed model is useful when heterogeneity needs to be taken into account. Additionally, the absence of heterogeneity did not affect the estimation of the regression parameters.

Impact of combinations of subscale declines in higher-level functional capacity on 8-year all-cause mortality among community-dwelling older Japanese adults.

BACKGROUND: The frequency of combined declines in domains of multi-faceted frailty and their impact on adverse health outcomes have not been adequately investigated. We aimed to examine the association between combined subscale declines in higher-level functional capacity and 8-year all-cause mortality among community-dwelling older Japanese individuals and the impact of multi-faceted frailty on mortality. MATERIALS AND METHODS: We administered a questionnaire to 7015 community-dwelling older adults aged 65-85 years. The higher-level functional capacity of the 3381 respondents was assessed using the Tokyo Metropolitan Institute of Gerontology Index of Competence. Subscale decline was defined as (1) none, (2) only social role (SR), (3) only intellectual activity (IA), (4) SR and IA, (5) only instrumental activities of daily living (IADL), (6) IADL and SR, (7) IADL and IA, and (8) all. Associations between combined subscale declines and mortality were examined using adjusted Cox proportional hazards models. Follow-up was conducted from October 1, 2012, to death or November 1, 2020. RESULTS: The mortality rate was 16.7/1000 person-years. Moreover, 44% of respondents had declined SR, and half of them had multiple declines. Compared with no decline, SR (adjusted hazard ratio [HR]: 1.49, 95% confidence interval [CI]: 1.14-1.93), SR and IA (HR: 1.59, 95% CI: 1.16-2.17), IADL and SR (HR: 1.97, 95% CI: 1.31-2.99), and all-domain (HR: 2.72, 95% CI: 1.98-3.74) declines were significantly associated with higher mortality risks. CONCLUSIONS: Overlapping SR and IADL declines increased mortality risk, suggesting the importance of measuring social frailty and overlapping physical and social frailty.

High Fragmented Physical Activity as an Early Risk Indicator of Frailty and Mortality in Adults Aged 50 Years and Over.

INTRODUCTION: This study aimed to explore the associations of activity fragmentation with frailty status and all-cause mortality in a representative US sample of people 50 years and over. METHODS: This prospective study used data from the 2003-2006 waves of the National Health and Nutrition Examination Survey (NHANES). Participants 50 years or over were included in the study (n = 2,586). Frailty status was assessed using a valid modification of the Fried criteria. Linked data from the National Death Index registry were used to ascertain mortality. Physical activity fragmentation was measured by accelerometry. To calculate activity fragmentation, an active-to-sedentary transition probability was calculated as the number of physical activity bouts divided by the total sum of minutes spent in physical activity. Age, gender, ethnicity, education, mobility issues, drinking status, smoking status, BMI, and self-reported chronic diseases were reported in the NHANES study. RESULTS: An increment of 1 SD in activity fragmentation was associated with an increased likelihood of frailty (odds ratio [95% confidence interval] = 1.36 [1.13-1.664]). Compared with participants in the high activity fragmentation/low physical activity category, participants in the low activity fragmentation/low physical activity and low activity fragmentation/high physical activity categories were associated with a lower likelihood of frailty. We found a nonlinear association between activity fragmentation and all-cause mortality. Compared with participants in the high activity fragmentation/low physical activity category, participants in the low activity fragmentation/low physical activity, low activity fragmentation/high physical activity, and high activity fragmentation/high physical activity categories were associated with a lower mortality risk. Participants with a low fragmented activity pattern may also overcome some of the detrimental effects associated with sedentary behavior. CONCLUSIONS: Our results suggest that a high fragmented physical activity pattern is associated with frailty and risk of mortality in adults and older adults. This association was independent of total volume of physical activity and time spent sedentary.

Population-Based Estimates of 1-Year Mortality After Major Surgery Among Community-Living Older US Adults.

Importance: Despite their importance to guiding public health decision-making and policies and to establishing programs aimed at improving surgical care, contemporary nationally representative mortality data for geriatric surgery are lacking. Objective: To calculate population-based estimates of mortality after major surgery in community-living older US adults and to determine how these estimates differ according to key demographic, surgical, and geriatric characteristics. Design, Setting, and Participants: Prospective longitudinal cohort study with 1 year of follow-up in the continental US from 2011 to 2018. Participants included 5590 community-living fee-for-service Medicare beneficiaries, aged 65 years or older, from the National Health and Aging Trends Study (NHATS). Data analysis was conducted from February 22, 2021, to March 16, 2022. Main Outcomes and Measures: Major surgeries and mortality over 1 year were identified through linkages with data from the Centers for Medicare & Medicaid Services. Data on frailty and dementia were obtained from the annual NHATS assessments. Results: From 2011 to 2017, of the 1193 major surgeries (from 992 community-living participants), the mean (SD) age was 79.2 (7.1) years; 665 were women (55.7%), and 30 were Hispanic (2.5%), 198 non-Hispanic Black (16.6%), and 915 non-Hispanic White (76.7%). Over the 1-year follow-up period, there were 206 deaths representing 872 096 survey-weighted deaths and 13.4% (95% CI, 10.9%-15.9%) mortality. Mortality rates were 7.4% (95% CI, 4.9%-9.9%) for elective surgeries and 22.3% (95% CI, 17.4%-27.1%) for nonelective surgeries. For geriatric subgroups, 1-year mortality was 6.0% (95% CI, 2.6%-9.4%) for persons who were nonfrail, 27.8% (95% CI, 21.2%-34.3%) for those who were frail, 11.6% (95% CI, 8.8%-14.4%) for persons without dementia, and 32.7% (95% CI, 24.3%-41.0%) for those with probable dementia. The age- and sex-adjusted hazard ratios for 1-year mortality were 4.41 (95% CI, 2.53-7.69) for frailty with a reduction in restricted mean survival time of 48.8 days and 2.18 (95% CI, 1.40-3.40) for probable dementia with a reduction in restricted mean survival time of 44.9 days. Conclusions and Relevance: In this study, the population-based estimate of 1-year mortality after major surgery among community-living older adults in the US was 13.4% but was 3-fold higher for nonelective than elective procedures. Mortality was considerably elevated among older persons who were frail or who had probable dementia, highlighting the potential prognostic value of geriatric conditions after major surgery.

Capacidad predictiva de mortalidad del índice Frágil-VIG (IF-VIG) en pacientes ancianos con fractura de fémur / Predictive capacity for mortality of the Frail-VIG index (IF-VIG) in old patients with hip fracture

Introducción: La fragilidad y la fractura de fémur están relacionadas y comportan un mayor riesgo de deterioro funcional y de mortalidad. El objetivo de este estudio es analizar si el Frágil-VIG [IF-VIG] (índice de fragilidad validado en población geriátrica) mantiene su capacidad predictiva de mortalidad en pacientes ancianos con fractura de fémur.Métodos: Estudio observacional, de cohortes, longitudinal y ambispectivo en pacientes ingresados en una unidad de geriatría de agudos con fractura de fémur. Se dividieron los pacientes según el grado de fragilidad en tres grupos según el IF-VIG: no fragilidad/fragilidad inicial (≤0,35), fragilidad intermedia (0,36-0,50) y fragilidad avanzada (>0,50). El tiempo de seguimiento fue de 24meses. Se compararon los tres grupos mediante curvas de supervivencia y se analizaron las curvas ROC para valorar la capacidad pronóstica del IF-VIG.Resultados: Se incluyeron 103 pacientes, de los que el 73,8% eran mujeres, con edad media de 87años. No hubo diferencias entre grupos en relación con el tipo de fractura, el tipo de cirugía, el tiempo de espera hasta la cirugía y la indicación de descarga. La mortalidad intrahospitalaria global fue del 7,76% y significativamente superior en el grupo con fragilidad avanzada (23,3%). También encontramos diferencias significativas en mortalidad a los 24meses de seguimiento según el IF-VIG. El área bajo la curva ROC a los 3, 6, 12 y 24meses fue de 0,90 (0,83-0,97), de 0,90 (0,82-0,97), de 0,91 (0,86-0,97) y de 0,88 (0,81-0,94), respectivamente.Conclusión: El IF-VIG parece tener una buena capacidad predictiva de mortalidad en pacientes ancianos con fractura de fémur. (AU)

Introduction: Frailty and hip fracture are closely related and are associated with high risk of functional decline and mortality. The objective of this study is to analyze whether the Frail-VIG index [IF-VIG] (fragility index validated in the geriatric population) maintains its predictive capacity for mortality in old patients with hip fracture.Methods: Observational, cohort, longitudinal and ambispective study on patients admitted to an acute geriatric unit with a hip fracture. Patients were classified according to their degree of frailty into three groups by the IF-VIG: no frailty/initial frailty (≤0.35), moderate frailty (0.36-0.50) and advanced frailty (>0.50). The follow-up period was 24months. The three groups were compared using survival curves and ROC curves were analyzed to assess the prognostic capacity of IF-VIG.Results: A total of 103 patients were included; 73.8% were women, with a mean age of 87years. There were no differences between groups in relation to the type of fracture, the kind of surgery, the waiting time until surgery and the mobilization time. Overall, in-hospital mortality was 7.76%, significantly higher in the advanced frailty group (23.3%). We also found significant differences in mortality at 24months of follow-up according to the IF-VIG. The under the ROC curve area at 3, 6, 12 and 24months was 0.90 (0.83-0.97), 0.90 (0.82-0.97), 0.91 (0.86-0.97) and 0.88 (0.81-0.94), respectively.Conclusion: The IF-VIG appears to be a good tool in predicting mortality in old patients with hip fracture. (AU)

Frailty in Older Patients Undergoing Hemodialysis and Its Association with All-Cause Mortality: A Prospective Cohort Study.

Purpose: The study aimed to determine the prevalence and risk factors of frailty among a Chinese cohort of hemodialysis patients and to assess the degree to which frailty was associated with all-cause mortality. Participants and Methods: We enrolled a group of older adults (≥60 years old) in a prospective cohort study of cognitive impairment in Chinese patients undergoing hemodialysis (registered in Clinical Trials.gov, ID: NCT03251573). We assessed the prevalence of frailty using Fried's definition in the Cardiovascular Health Study, then we evaluated the associated risk factors of frailty using multivariate logistic regression analysis. Finally, we assessed the association of frailty and all-cause mortality with multivariable Cox proportional hazard regression analyses. Results: The prevalence of frailty in these 204 enrolled hemodialysis patients was 72.1%. Patients with frailty were more inclined to have composite abnormal components that included poor physical functioning, exhaustion, low physical activity, and undernutrition. Multivariable logistic regression analysis suggested that increased age, female gender, history of diabetes, longer dialysis vintage, lower Kt/V, lower serum level of albumin concentrations, and increased serum iPTH concentrations were independently associated with frailty. Cox regression analysis indicated that frailty as a dichotomous construct was strongly associated with an increased risk of mortality (HR 6.092, 95% CI 1.886-19.677, P = 0.003) in unadjusted analyses. After adjusting (Model I = no adjusted; II = adjusted for age, gender; III = adjusted for age, gender, history of diabetes; IV = adjusted for all covariates associated at the p ≤ 0.10 level with death in unadjusted analyses, including age, history of diabetes, MoCA<26, single-pool Kt/V, and the levels of albumin and iPTH), the association was slightly affected but observed consistent as before. Conclusion: Frailty is extremely common and is associated with serious clinical outcomes among older hemodialysis patients. Based on those clinical features of frailty, future studies should focus on exploring effective interventions aimed to prevent or attenuate frailty in the older hemodialysis population.