Progression of frailty as measured by a cumulative deficit index: A systematic review

Longitudinal changes in frailty and incident diabetes in middle-aged and older adults: evidence from CHARLS

OBJECTIVES

To investigate how changes in frailty affect diabetes risk and whether sex and age influence this relationship.

STUDY DESIGN

This prospective cohort study, based on the China Health and Retirement Longitudinal Study (CHARLS), included 11,221 adults aged 45 and over without diabetes before the second survey. The frailty index (FI), with scores ranging from 0 to 1, was administered at baseline (2011) and during the second survey (2013), categorizing participants as robust (FI ≤ 0.10), pre-frail (FI 0.10-0.25), or frail (FI ≥ 0.25). Frailty changes were determined from the two assessments.

MAIN OUTCOME MEASURES

The primary outcome was incident diabetes. Cox regression was used to assess the association of frailty changes with diabetes and whether this association differed by sex and age (≤65 years and >65 years).

RESULTS

During a median 7-year follow-up, 1197 developed diabetes. Those remaining pre-frail/frail had nearly double the risk of diabetes (HR 1.99, 95 % CI 1.70-2.33) compared with those remaining robust. Progressing from robust to pre-frail/frail increased risk (HR 1.80, 95 % CI 1.48-2.19), and improving from pre-frail/frail to robust still had an elevated risk (HR 1.32, 95 % CI 1.06-1.66). Higher FI tertile changes were linked to increased diabetes risk (HR 1.44, 95 % CI 1.24-1.67), with a significant trend (P < 0.001). Women were at higher risk (P = 0.004), but age did not significantly modify the association (P = 0.972).

CONCLUSIONS

Frailty progression is strongly linked to increased risk of diabetes, especially in women, highlighting the need for targeted frailty management in diabetes prevention.

Exploring frailty in Brazil: an analysis of the ELSI-Brazil survey

The Brazilian aging population will challenge publicly funded health services, on which most Brazilians rely. The country must prepare for aging-associated health challenges such as frailty. We used data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) to generate a standardized Frailty Index (FI), assess frailty levels among this population, and supply reliable and nationwide information. In total, 9,901 adults aged 50 years or older were studied in the second wave of ELSI-Brazil. A 53-item FI was created according to a standardized protocol. Logistic regression was used to determine the association between frailty levels and disability/health status, whereas the relationship between frailty level, disabilities, and healthcare use was analyzed by a negative binomial regression. Frailty was high, with a 0.19 weighted mean FI score and 0.19 median. Frailty distribution was right-skewed, with higher levels in women and increased exponentially with age. Widow(er)s, black and mixed-race individuals, and those living in rural areas had higher levels of frailty. Regression models showed that higher frailty was associated with poorer self-assessment of health, higher disability, and greater use of healthcare services. This study shows a high prevalence of frailty in Brazilian middle-aged and older adults and its association with disability, health status, and healthcare service use. These relevant findings can inform healthcare policies and design services prioritizing this population's health, particularly for those using public healthcare.

Frailty in motion: Amnestic mild cognitive impairment and Alzheimer's disease cohorts display heterogeneity in multimorbidity classification and longitudinal transitions

BackgroundData-driven examination of multiple morbidities and deficits are informative for clinical and research applications in aging and dementia. Resulting profiles may change longitudinally according to dynamic alterations in extent, duration, and pattern of risk accumulation. Do such frailty-related changes include not only progression but also stability and reversion?ObjectiveWith cognitively impaired and dementia cohorts, we employed data-driven analytics to (a) detect the extent of heterogeneity in frailty-related multimorbidity and deficit burden subgroups and (b) identify key person characteristics predicting differential transition patterns.MethodsWe assembled baseline and 2-year follow-up data from the National Alzheimer's Coordinating Center for amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) cohorts. We applied factor analyses to 43 multimorbidity and deficit indicators. Latent Transition Analysis (LTA) was applied to the resulting domains in order to detect subgroups differing in transition patterns for multimorbidity and deficit burden. We characterized heterogeneity in change patterns by evaluating key person characteristics as differential predictors.ResultsFactor analyses revealed five domains at two time points. LTA showed that two latent burden subgroups at Time 1 (Low, Moderate) differentiated into an additional two subgroups at Time 2 (adding Mild, Severe). Transition analyses detected heterogeneous changes, including progression, stability, and reversion. Baseline classifications and transitions varied according to clinical cohort, global cognition, sex, age, and education.ConclusionsHeterogeneous frailty-related subgroup transitions can be (a) detected in aging adults living with aMCI and AD, (b) characterized as not only progression but also stability and reversion, and (c) predicted by precision characteristics.

The Implementation of Frailty Assessment Tools in the Acute Care Setting: A Scoping Review

BACKGROUND

Frailty is a syndrome of increased vulnerability to health stressors that is associated with adverse health outcomes. There is no universally accepted method of measuring frailty, and choosing among the many tools is often confusing for clinicians. Moreover, the acute care setting presents unique challenges to the operationalization of frailty measurement, and implementation into daily clinical practice has been variable. The objective of this scoping review was to map out and synthesize how frailty is being measured and used in the acute care setting.

METHODS

We used Arksey and O'Malley's methodological framework for scoping reviews. We searched MEDLINE, EMBASE, CINAHL, SCOPUS, and Google Scholar for primary studies assessing frailty in the acute care setting from inception to May 2023.

RESULTS

Our search resulted in 8834 articles, of which 2554 met inclusion criteria. Most articles (75%) were published in the last 5 years. The top three most frequently used methods of frailty measurement were the Frailty Index (41.0%), the Clinical Frailty Scale (23.3%), and the Fried Frailty Phenotype (9.3%). More than one frailty assessment tool was used in 11.2% of studies. While 99.6% of studies measured frailty assessment to evaluate the association of frailty with adverse outcomes or the validity of specific frailty tools, only 0.4% measured frailty to prospectively adapt healthcare provision.

CONCLUSION

There is an abundance of evidence demonstrating that frailty in acute care is associated with adverse health outcomes, with relatively scarce evidence on the effect of frailty assessment on prospectively adapting care. Future research focusing on the prospective management of frailty in acute care is needed.

Association of Longitudinal Trajectories of Physical Frailty With Dementia Status in Older Adults: A National Cohort Study

BACKGROUND AND OBJECTIVES

The longitudinal patterns of change in physical frailty and their associations with the subsequent dementia risk remain unclear. This study aimed to (1) explore the long-term trajectories of physical frailty over a 6-year period in older adults without dementia at baseline; (2) identify the socio-demographic and health-related factors associated with different physical frailty trajectories; and (3) examine the longitudinal relationships between different physical frailty trajectories and subsequent risk of dementia.

RESEARCH DESIGN AND METHODS

This national cohort study used data from the National Health and Aging Trends Study (NHATS) conducted in the United States from 2015 to 2021 and included adults aged ≥ 65 without dementia (n = 2245) at baseline in 2015. Group-based trajectory modeling was used to describe the longitudinal changes. Socio-demographic and health-related characteristics were compared across the identified physical frailty trajectories using bivariate analyses, employing Rao-Scott chi-square tests for categorical variables and design-based F-tests for continuous variables. Multinomial logistic regression analyses were conducted to examine the relationships between different frailty trajectories and subsequent dementia status.

RESULTS

Three frailty trajectories were identified: low-stable (74.00%), low-increasing (21.14%), and high-level (4.86%). Participants in the low-increasing and high-level groups were predominantly older, female, minorities, unmarried, and less educated and had a lower income, more comorbidities, and greater anxiety and depression symptoms (p < 0.001). Compared with the low-stable group, older adults in the low-increasing group had higher risk of possible dementia (RRR: 2.37, 95% CI: 1.41-3.97, p < 0.001) and probable dementia (RRR: 1.71, 95% CI: 1.08-2.73, p = 0.02); similarly, older adults in the high-level group had higher risks of possible dementia (RRR: 4.24, 95% CI: 1.74-10.36, p < 0.001) and probable dementia (RRR: 2.99, 95% CI: 1.32-6.76, p = 0.01). No significant differences were found in the risk of dementia between the high-level frailty group and the low-increasing frailty group (p > 0.05).

CONCLUSION AND IMPLICATIONS

This study highlighted the importance of regular frailty monitoring for early detection and informed future interventions that could delay frailty progression and potentially reduce dementia risk.

Association of Frailty Index at 66 Years of Age with Health Care Costs and Utilization Over 10 Years in Korea: Retrospective Cohort Study

Background

The long-term economic impact of frailty measured at the beginning of elderhood is unknown.

Objective

The objective of our study was to examine the association between an individual's frailty index at 66 years of age and their health care costs and utilization over 10 years.

Methods

This retrospective cohort study included 215,887 Koreans who participated in the National Screening Program for Transitional Ages at 66 years of age between 2007-2009. Frailty was categorized using a 39-item deficit accumulation frailty index: robust (<0.15), prefrail (0.15-0.24), and frail (≥0.25). The primary outcome was total health care cost, while the secondary outcomes were inpatient and outpatient health care costs, inpatient days, and number of outpatient visits. Generalized estimating equations with a gamma distribution and identity link function were used to investigate the association between the frailty index and health care costs and utilization until December 31, 2019.

Results

The study population included 53.3% (n=115,113) women, 32.9% (n=71,082) with prefrailty, and 9.7% (n=21,010) with frailty. The frailty level at 66 years of age was associated with higher cumulative total costs (robust to frail: $19,815 to $28.281; P<.001), inpatient costs (US $11,189 to US $16,627; P<.001), and outpatient costs (US $8,625 to US $11,654; P<.001) over the next 10 years. In the robust group, a one-year increase in age was associated with increased total health care costs (mean change per beneficiary per year: US $206.2; SE: $1.2; P<.001), inpatient costs (US $126.8; SE: $1.0; P<.001), and outpatient costs (US $74.4; SE: $0.4; P<.001). In the frail group, the increase in total health care costs was greater compared to the robust group (difference in mean cost per beneficiary per year: US $120.9; SE: $5.3; P<.001), inpatient costs (US $102.8; SE: $5.22; P<.001), and outpatient costs (US $15.6; SE: $1.5; P<.001). Similar results were observed for health care utilization (P<.001). Among the robust group, a one-year increase in age was associated with increased inpatient days (mean change per beneficiary per year: 0.9 d; P<.001) and outpatient visits (2.1 visits; P<.001). In the frail group, inpatient days increased annually compared to the robust group (difference in the mean inpatient days per beneficiary per year: 1.5 d; P<.001), while outpatient visits increased to a lesser extent (difference in the mean outpatient visits per beneficiary per year: -0.2 visits; P<.001).

Conclusions

Our study demonstrates the potential utility of assessing frailty at 66 years of age in identifying older adults who are more likely to incur high health care costs and utilize health care services over the subsequent 10 years. The long-term high health care costs and utilization associated with frailty and prefrailty warrants public health strategies to prevent and manage frailty in aging populations.

Association of frailty index with new-onset diabetes: from the China Health and Retirement Longitudinal Study (CHARLS)

BACKGROUND

To investigate the association of frailty status and its changes with new-onset diabetes.

METHODS

A total of 4638 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Frailty status was assessed by the frailty index (FI) and categorized as robust, pre-frail, and frail. Changes in frailty were assessed based on frailty status at wave1 and wave3 of CHARLS. New-onset diabetes was identified by self-reported physician-diagnosed or diagnosed by glucose or glycosylated haemoglobin during follow-up period. Logistic regression was used to examine the association of frailty and outcomes.

RESULTS

51.6%, 38.1% and 10.3% of the individuals were respectively classified as robust, pre-frail, and frail at baseline. The risk of new-onset diabetes was significantly higher in the pre-frailty [odds ratio (OR) (95% confidence interval (CI)): 1.326 (1.101-1.597), p = 0.003)] and frailty [OR(95% CI): 1.721 (1.304-2.271), p < 0.001)] than the robust. A total of 3145 participants were included in the changes of frailty status analyses. Compared with the stable robust individuals, individuals who developed from robust to frailty status [OR (95%CI): 3.752 (1.647-8.547), p = 0.002] had an elevated risk of new-onset diabetes. In addition, participants who ever had a robust status in the two surveys had a significantly lower risk of new-onset diabetes compared to those who never had a robust status [OR (95%CI) 0.666 (0.483-0.920), p = 0.014)].

CONCLUSION

Frailty status is significantly associated with the risk of new-onset diabetes. The progression from robust to frailty or pre-frailty increased the risk of new-onset diabetes.

Association between frailty and acute kidney injury after cardiac surgery: unraveling the moderation effect of body fat through an international, retrospective, multicohort study

BACKGROUND

Acute kidney injury (AKI) is a common and serious complication after cardiac surgery that significantly affects patient outcomes. Given the limited treatment options available, identifying modifiable risk factors is critical. Frailty and obesity, two heterogeneous physiological states, have significant implications for identifying and preventing AKI. Our study investigated the interplay among frailty, body composition, and AKI risk after cardiac surgery to inform patient management strategies.

MATERIAL AND METHODS

This retrospective cohort study included three international cohorts. Primary analysis was conducted on adult patients who underwent cardiac surgery between 2014 and 2019 at Wuhan Union Hospital, China. We tested the generalizability of our findings with data from two independent international cohorts, the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU Collaborative Research Database. Frailty was assessed using a clinical lab-based frailty index (FI-LAB), while total body fat percentage (BF%) was calculated based on a formula accounting for BMI, sex, and age. Logistic regression models were used to analyze the associations between frailty, body fat, and AKI, adjusting for pertinent covariates.

RESULTS

A total of 8785 patients across three international cohorts were included in the study. In the primary analysis of 3569 patients from Wuhan Union Hospital, moderate and severe frailty were associated with an increased AKI risk after cardiac surgery. Moreover, a nonlinear relationship was observed between BF% and AKI risk. When stratified by the degree of frailty, lower body fat correlated with a decreased incidence of AKI. Extended analyses using the MIMIC-IV and eICU cohorts ( n =3951 and n =1265, respectively) validated these findings and demonstrated that a lower total BF% was associated with decreased AKI incidence. Moderation analysis revealed that the effect of frailty on AKI risk was moderated by the BF%. Sensitivity analyses demonstrated results consistent with the main analyses.

CONCLUSION

Higher degrees of frailty were associated with an elevated risk of AKI following cardiac surgery, and total BF% moderated this relationship. This research underscores the significance of integrating frailty and body fat assessments into routine cardiovascular care to identify high-risk patients for AKI and implement personalized interventions to improve patient outcomes.

Risk Factors Analysis and Nomogram Conduction for Major Adverse Events After Lumbar Fusion Surgery in Older Patients: A Prospective Cohort Study

OBJECTIVE

This study aimed to identify risk factors for major adverse events (AEs) after lumbar fusion surgery in patients aged 75 and older and evaluate the role of several common geriatric comprehensive assessment items in predicting postoperative major AEs.

METHODS

This is a prospective cohort study of patients aged ≥75 years who underwent open lumbar fusion for degenerative spine disease from August 2019 to August 2022. The primary outcome measure was the incidence of major postoperative AEs within 90 days after surgery. Clavien-Dindo III-IV complications and unplanned readmission were defined as major AEs. Patients' characteristics, laboratory tests, assessment results, and surgery-related variables were compared between the major AEs and the nonmajor AEs groups. Multivariable logistic regression analysis was used to identify independent risk factors for major AEs. The logistic regression model was evaluated in another prospective cohort of patients from October 2022 to October 2023.

RESULTS

A total of 301 patients (mean [SD] age, 79.7 [3.5] years; 60.5% male) were included in the study. Five features, including female (OR 1.99, P=0.040), higher body mass index (OR 1.090, P=0.024), frailty (OR 2.043, P =0.032), hypoalbuminemia (OR 2.489, P=0.040), and higher Charlson comorbidity index (OR 1.397, P=0.024), were independently associated with major AEs and were selected to develop a predictive nomogram of major AEs. The area under the curve values for the development set and validation set were 0.75 and 0.71, respectively.

CONCLUSIONS

Preoperative frailty, hypoalbuminemia, female sex, greater body mass index, and higher Charlson comorbidity index grade were risk factors for 90-day major AEs after lumbar fusion surgery in older patients. The predictive nomogram that we developed using this data can enhance preoperative risk counseling and optimization for older patients.

The association between PM2.5 and frailty: evidence from 122 cities in China and 7 countries in Europe

BACKGROUND

The accelerated aging process worldwide is placing a heavy burden on countries. PM2.5 particulate matter exposure is a significant factor affecting human health and is crucial in the aging process.

METHODS

We utilized data from China Health and Retirement Longitudinal Study (CHARLS) and the Survey of Health, Aging, and Retirement in Europe (SHARE) to study the relationship between PM2.5 exposure and the frailty index. Acquire PM2.5 exposure data for China and Europe, match them according to geographic location within the database. Our study used frailty index to evaluate frailty, which comprises 29 items. We examined the association between PM2.5 and frailty index using fixed-effects regression models and Mendelian randomization (MR) analysis.

RESULTS

We first examined the association between PM2.5 and frailty index using fixed-effects regression models, revealing a notable positive link across populations in China (coefficient = 0.0003, P = 0.0380) and Europe (Coefficient = 0.0019, P < 0.0001). This suggests that PM2.5 exposure is a significant risk factor for frailty, leading to accelerated frailty. Moreover, our MR analysis uncovered a possible causal association (OR = 1.2933, 95%CI: 1.2045-1.3820, P < 0.0001) between PM2.5 exposure and the frailty index.

CONCLUSIONS

Our findings indicate that long-term exposure to PM2.5 in the environment is a risk factor for physical frailty and may have a potential causal relationship. Given the rapid global aging trend, public health measures are needed to reduce PM2.5 concentrations and prevent frailty.

Development of a Frailty Screening Tool Using Electronic Community Pharmacy Records

BACKGROUND

Frailty is associated with increased susceptibility to medication-related harm, highlighting the importance of medication review for frail older adults. Community pharmacists are increasingly involved in the initiation of medication reviews. Yet, current frailty measurement methods are impractical in this setting. Alternative approaches, leveraging routinely collected data, are needed.

OBJECTIVE

To develop a frailty screening tool utilising routine electronic pharmacy records.

METHODS

Community-dwelling older adults (≥ 70 years) using ≥ 5 chronic medications were recruited in 196 Belgian community pharmacies. Frailty was assessed using SHARE-FI75+ (based on Fried's frailty phenotype). Model development was on the basis of a two-stage approach using multivariable logistic regression with split-sample internal validation. Stage 1 considered only electronic pharmacy record variables, while stage 2 also included other variables that can easily be collected in the community pharmacy. Model performance was evaluated for discrimination, calibration and predictive accuracy.

RESULTS

We recruited 875 participants [mean ± standard deviation (SD) age 79.3 ± 5.9 years], with 14.8% identified as frail. At stage 1, the frailty screening model included age, sex, reimbursement level of medical expenses, number of chronic medications and medication-derived comorbidities (anxiety, congestive heart failure, hypertension) [area under the receiver operating characteristic curve (AUC) 0.77, 95% confidence interval (CI) 0.69-0.85; sensitivity 78.0%; specificity 60.1%]. At stage 2, additional information on difficulties with basic activities of daily living or pharmacist's intuitive frailty assessment further improved the model (AUC 0.81, 95% CI 0.74-0.88 and AUC 0.82, 95% CI 0.75-0.89, respectively).

CONCLUSIONS

We developed a screening tool for frailty using data from electronic pharmacy records. This tool offers the opportunity for frailty screening in community pharmacy and to identify individuals that may benefit the most from medication review. External validation is warranted.

The impact of blood pressure lowering agents on the risk of worsening frailty among patients with diabetes mellitus: a cohort study

Patients with diabetes mellitus (DM) are at risk of developing frailty, but studies rarely addressed risk factors for frailty worsening. We investigated whether blood pressure (BP)-lowering agents influenced such risk in these patients. Adults with type 2 DM were identified from National Taiwan University Hospital, with the primary outcome, the worsening of frailty by ≧1 score increase of FRAIL scale determined. We used the Cox proportional hazards analysis to derive the risk of worsening frailty associated with BP-lowering agents. Among 41,440 patients with DM, 27.4% developed worsening frailty after 4.09 years of follow-up. Cox regression revealed that diuretics (hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.06-1.18) and α-blocker (HR 1.14, 95% CI 1.06-1.23) users had a significantly higher risk of worsening frailty than non-users, whereas the risk was lower among β-blocker users (HR 0.93, 95% CI 0.88-0.98). It would be therefore prudent to weigh the advantages and disadvantages of using specific BP-lowering agent classes.

Frailty and Loneliness in Older Adults: A Narrative Review

(1) Background: In a society with an advancing aging rate, medical systems are coming under pressure due to an increasing flow of older patients with multiple somatic diseases, exacerbated by their psychological and sociological backgrounds. We aimed to investigate the relationship between frailty and loneliness in older adults and to provide a holistic perspective on these concepts. Our research question was "Is there a link between the loneliness and frailty in older people?" (2) Methods: To assess the link between loneliness and frailty, we conducted a search accessing Index Medicus and PubMed; the timeframe of our research was from 2013 until 2023. Data regarding the study population, as well as loneliness and frailty assessments and approaches, were extracted. (3) Results: A positive relationship between loneliness and the appearance and progression of frailty in older adults is argued for. (4) Conclusions: Frailty and loneliness in older adults are often interconnected and can have a significant impact on their overall well-being. Early identification of frailty by assessing risk factors (including loneliness and/or social isolation) should become a standard of care for older patients. Appropriate combined interventions that effectively address both frailty and loneliness (physical exercises, psychological support, and social engagement) can promote healthier aging, prevent health deterioration, maintain independence, and reduce healthcare costs.

Frailty: a global health challenge in need of local action

Frailty is a complex, age-related clinical condition that involves multiple contributing factors and raises the risk of adverse outcomes in older people. Given global population ageing trends, the growing prevalence and incidence of frailty pose significant challenges to health and social care systems in both high-income and lower-income countries. In this review, we highlight the disproportionate representation of research on frailty screening and management from high-income countries, despite how lower-income countries are projected to have a larger share of older people aged ≥60. However, more frailty research has been emerging from lower-income countries in recent years, paving the way for more context-specific guidelines and studies that validate frailty assessment tools and evaluate frailty interventions in the population. We then present further considerations for contextualising frailty in research and practice in lower-income countries. First, the heterogeneous manifestations of frailty call for research that reflects different geographies, populations, health systems, community settings and policy priorities; this can be driven by supportive collaborative systems between high-income and lower-income countries. Second, the global narrative around frailty and ageing needs re-evaluation, given the negative connotations linked with frailty and the introduction of intrinsic capacity by the World Health Organization as a measure of functional reserves throughout the life course. Finally, the social determinants of health as possible risk factors for frailty in lower-income countries and global majority populations, and potential socioeconomic threats of frailty to national economies warrant proactive frailty screening in these populations.

Frailty and biological age. Which best describes our aging and longevity?

Frailty and Biological Age are two closely related concepts; however, frailty is a multisystem geriatric syndrome that applies to elderly subjects, whereas biological age is a gerontologic way to describe the rate of aging of each individual, which can be used from the beginning of the aging process, in adulthood. If frailty reaches less consensus on the definition, it is a term much more widely used than this of biological age, which shows a clearer definition but is scarcely employed in social and medical fields. In this review, we suggest that this Biological Age is the best to describe how we are aging and determine our longevity, and several examples support our proposal.

Exploring the causal relationship between gut microbiota and frailty: a two-sample mendelian randomization analysis

Background

Frailty is a complex geriatric syndrome that seriously affects the quality of life of older adults. Previous observational studies have reported a strong relationship of frailty with the gut microbiota; however, further studies are warranted to establish a causal link. Accordingly, we aimed to conduct a bidirectional Mendelian randomization study to assess the causal relationship between frailty, as measured by the frailty index, and gut microbiota composition.

Methods

Instrumental variables for the frailty index (N = 175, 226) and 211 gut bacteria (N = 18,340) were obtained through a genome-wide association study. A two-sample Mendelian randomization analysis was performed to assess the causal relationship of gut microbiota with frailty. Additionally, we performed inverse Mendelian randomization analyses to examine the direction of causality. Inverse variance weighting was used as the primary method in this study, which was supplemented by horizontal pleiotropy and sensitivity analyses to increase confidence in the results.

Results

Bacteroidia (b = -0.041, SE = 0.017, p = 0.014) and Eubacterium ruminantium (b = -0.027, SE = 0.012, p = 0.028) were protective against frailty amelioration. Additionally, the following five bacteria types were associated with high frailty: Betaproteobacteria (b = 0.049, SE = 0.024, p = 0.042), Bifidobacterium (b = 0.042, SE = 0.016, p = 0.013), Clostridium innocuum (b = 0.023, SE = 0.011, p = 0.036), E. coprostanoligenes (b = 0.054, SE = 0.018, p = 0.003), and Allisonella (b = 0.032, SE = 0.013, p = 0.012). Contrastingly, frailty affected Butyrivibrio in the gut microbiota (b = 1.225, SE = 0.570, p = 0.031). The results remained stable within sensitivity and validation analyses.

Conclusion

Our findings strengthen the evidence of a bidirectional causal link between the gut microbiota and frailty. It is important to elucidate this relationship to optimally enhance the care of older adults and improve their quality of life.

The association of urinary heavy metal exposure with frailty susceptibility and mortality in middle-aged and older adults: a population-based study

Heavy metals' presence as environmental pollutants has a close link to adverse health effects. Frailty, a clinical syndrome hallmarked by elevated vulnerability to stressors, presents a substantial challenge in healthcare. However, the association between exposure to heavy metals and frailty largely remains unexplored. Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2003-2018 and correlated with the U.S. National Death Index (NDI) from 2019, we investigated mortality outcomes. Logistic regression, Cox regression, Kaplan-Meier survival curves, weighted quantile-sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were employed to assess the association between heavy metal exposure and frailty incidence and mortality in the frail population. Eight metals were measured in urine using inductively coupled plasma mass spectrometry with values adjusted for urinary creatinine, which was used to reflect heavy metal exposure. The cohort incorporated 5370 female participants aged 45 and above, with 1518 diagnosed with frailty. The findings indicated a substantial correlation between exposure to specific heavy metals, namely tungsten (odds ratio [OR]: 1.94, 95% confidence interval [CI]: 1.31-2.89), cobalt (OR: 1.64, 95% CI: 1.40-1.93), cadmium (OR: 1.93, 95% CI: 1.52-2.43), and uranium (OR: 7.36, 95% CI: 1.53-35.28), and an elevated risk of frailty. WQS and BKMR regression models identified cadmium, cobalt, and tungsten as main contributors to frailty. Cox regression analysis, after adjustment for covariates, suggested that the higher the exposure levels to cadmium and lead, the higher the risk of death in frail patients, with associated hazard ratios (HR) of 95% CI: 1.96 (1.53, 2.52) and 1.30 (1.13, 1.49), respectively. Our study revealed a significant positive correlation between exposure to heavy metal mixtures and frailty onset in middle-aged and older adults, along with increased mortality in frail patients. Cobalt, cadmium, and tungsten emerged as prominent contributors to frailty, with cobalt and cadmium directly impacting the long-term life expectancy of frail patients.

Effects of cigarette smoking and secondhand smoke exposure on physical frailty development among community-dwelling older adults in Japan: Evidence from a 10-year population-based cohort study

AIM

This study explored longitudinally the relationship between smoking and secondhand smoke and the incidence of physical frailty in community-dwelling Japanese older people.

METHODS

Data collected from the National Institute for Longevity Sciences-Longitudinal Study of Aging database from 2002 to 2012 (third to seventh wave) among older adults aged ≥65 years were analyzed. Participants with physical frailty at baseline, as determined by the Cardiovascular Health Study criteria, missing data or who failed to attend follow ups were excluded. Data on current cigarette smoking and secondhand smoke exposure were collected from the third wave results. The generalized estimating equation model was used to examine the longitudinal relationships between smoking, secondhand smoke and subsequent frailty.

RESULTS

The final analysis included 540 participants with a mean age of 71.4 years (standard deviation 4.6). The generalized estimating equation analysis showed that, compared with non-smokers, smokers were at significant risk of physical frailty (odds ratio [OR] 2.39, 95% confidence interval [CI] 1.21-4.74) after adjustment for multiple covariates; especially men (OR 3.75, 95% CI 1.76-8.00) and older adults aged ≥75 years (OR 4.12, 95% CI 1.43-11.87). Participants exposed to both smoking and secondhand smoke had a higher risk of physical frailty (OR 3.47, 95% CI 1.56-7.73) than non-smokers without secondhand smoke exposure. Smokers exposed to secondhand smoke were associated with more risk of physical frailty (OR 9.03, 95% CI 2.42-33.77) compared with smokers without secondhand smoke exposure.

CONCLUSIONS

Smoking, especially when combined with secondhand smoke exposure, is associated with future physical frailty among older adults. Geriatr Gerontol Int 2024; 24: 142-149.

Changes in frailty and incident cardiovascular disease in three prospective cohorts

BACKGROUND AND AIMS

Previous studies found that frailty was an important risk factor for cardiovascular disease (CVD). However, previous studies only focused on baseline frailty status, not taking into consideration the changes in frailty status during follow-up. The aim of this study was to investigate the associations of changes in frailty status with incident CVD.

METHODS

This study used data of three prospective cohorts: China Health and Retirement Longitudinal Study (CHARLS), English Longitudinal Study of Ageing (ELSA), and Health and Retirement Study (HRS). Frailty status was evaluated by the Rockwood frailty index and classified as robust, pre-frail, or frail. Changes in frailty status were assessed by frailty status at baseline and the second survey which was two years after the baseline. Cardiovascular disease was ascertained by self-reported physician-diagnosed heart disease (including angina, heart attack, congestive heart failure, and other heart problems) or stroke. Cox proportional hazard models were used to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) after adjusting for potential confounders.

RESULTS

A total of 7116 participants from CHARLS (female: 48.6%, mean age: 57.4 years), 5303 from ELSA (female: 57.7%, mean age: 63.7 years), and 7266 from HRS (female: 64.9%, mean age: 65.1 years) were included according to inclusion and exclusion criteria. The median follow-up periods were 5.0 years in the CHARLS, 10.7 years in the ELSA, and 9.5 years in the HRS. Compared with stable robust participants, robust participants who progressed to pre-frail or frail status had increased risks of incident CVD (CHARLS, HR = 1.84, 95% CI: 1.54-2.21; ELSA, HR = 1.53, 95% CI: 1.25-1.86; HRS, HR = 1.59, 95% CI: 1.31-1.92). In contrast, frail participants who recovered to robust or pre-frail status presented decreased risks of incident CVD (CHARLS, HR = 0.62, 95% CI: 0.47-0.81; ELSA, HR = 0.49, 95% CI: 0.34-0.69; HRS, HR = 0.70, 95% CI: 0.55-0.89) when compared with stable frail participants. These decreased risks of incident CVD were also observed in pre-frail participants who recovered to robust status (CHARLS, HR = 0.66, 95% CI: 0.52-0.83; ELSA, HR = 0.65, 95% CI: 0.49-0.85; HRS, HR = 0.71, 95% CI: 0.56-0.91) when compared with stable pre-frail participants.

CONCLUSIONS

Different changes in frailty status are associated with different risks of incident CVD. Progression of frailty status increases incident CVD risks, while recovery of frailty status decreases incident CVD risks.

Geroscience-Centric Perspective for Geriatric Psychiatry: Integrating Aging Biology With Geriatric Mental Health Research

The geroscience hypothesis asserts that physiological aging is caused by a small number of biological pathways. Despite the explosion of geroscience research over the past couple of decades, the research on how serious mental illnesses (SMI) affects the biological aging processes is still in its infancy. In this review, we aim to provide a critical appraisal of the emerging literature focusing on how we measure biological aging systematically, and in the brain and how SMIs affect biological aging measures in older adults. We will also review recent developments in the field of cellular senescence and potential targets for interventions for SMIs in older adults, based on the geroscience hypothesis.

U-shaped association of systemic immune-inflammation index levels with cancer-related and all-cause mortality in middle-aged and older individuals with frailty

PURPOSE

Frailty is a state of heightened vulnerability to stress, whether from within the body or external factors. We aim to assess the prognostic value of the Systemic Immune-Inflammation Index (SII) in middle-aged and older frail adults.

METHODS

We used data from the 2003-2018 National Health and Nutrition Examination Survey (NHANES) linked to the 2019 National Death Index (NDI) to study mortality. Cox proportional hazards model and two-piecewise Cox proportional hazards model were used to elucidate the nonlinear relationship between SII level and mortality.

RESULTS

Our study included 7,446 frail patients (mean age 65.6) with 2,524 deaths (726 from cardiovascular disease and 458 from cancer) over 49,565 person-years. Elevated SII levels were associated with an increased risk of all-cause, cardiovascular disease (CVD)-related and cancer-related mortality, even after adjusting for potential confounders (adjusted HR (95 % CI) = 1.35 (1.25, 1.46), 1.42 (1.22, 1.65) and 1.26 (1.05, 1.51), respectively). Moreover, a U-shaped correlation was discerned between SII levels and the risks of all-cause and cancer-related mortality, with respective thresholds identified at 334.96 and 348.28.

CONCLUSION

Our findings reveal SII levels positively correlate with frailty, all-cause mortality, CVD-related mortality, and cancer-related mortality in middle-aged and elderly frail individuals in the U.S. The critical thresholds for SII index were 334.96 for all-cause mortality and 348.28 for cancer-related mortality. This study underscores the potential benefits of maintaining a certain low level of SII to effectively mitigate the incidence of frailty and mortality among frail patients.

Relationship between physical activity and perceptions of ageing from the perspective of healthy ageing among older people with frailty with chronic disease: a cross-sectional study

BACKGROUND

In Taiwan, the 2019 Elderly Frailty Assessment found that 11.2% of older people have frailty problems. Some researchers have found that older persons' negative perspectives on ageing aggravate the progression of frailty, thereby increasing their risk of disability. This study aimed to investigate associations of physical activity and perceptions of ageing on perspectives of healthy ageing in older people with frailty and chronic diseases and to compare the differences in their frailty status.

METHODS

This study used a descriptive cross-sectional design. Participants were recruited from community long-term care stations. The inclusion criteria were (1) no severe cognitive impairment and ability to communicate in Mandarin and Taiwanese; (2) over 65 years old; (3) at least one chronic disease; and (4) at least one debilitating item in the Study of Osteoporotic Fracture index. A total of 312 participants were recruited. The Brief Ageing Perceptions Questionnaire Chinese version, Healthy Ageing Perspectives Questionnaire, and Physical Activity Scale for the Elderly Chinese Version were used for measurement.

RESULTS

The study results found that demographic variables, perceptions of ageing, and physical activity were significantly correlated with perspectives on healthy ageing, including age, Activities of Daily Living, education, all domains of perceptions of ageing, and household- and work-related physical activity. With regard to the frailty status level, prefrailty was better than frailty from the perspective of healthy ageing in older people with chronic disease (t = 5.35, p < 0.05). Hierarchical regression analysis was used to predict the healthy ageing perspectives of older persons with chronic disease involving a chronic time-line, positive control, health-related changes, and work-related activities. Those domains could predict 21% of the variance in healthy ageing perspectives.

CONCLUSION

It is suggested that in community long-term care stations, health care providers can arrange activities to improve the perception of ageing that are acceptable for older people with frailty and chronic diseases and encourage older people to participate in service activities to achieve a sense of social participation.

Risk and Protective Factors for Frailty in Pre-Frail and Frail Older Adults

This study aims to evaluate the differences in body composition, physical function, and physical activity between pre-frail/frail older adults and to detect risk and protective factors against frailty and physical frailty. Fried's criteria for frailty and physical frailty using the short-performance physical battery (SPPB) were measured in 179 older participants (75.3 ± 6.4 years old). Body weight, height, and waist, arm, and leg circumferences were obtained as body composition variables. Daily accelerometer outcomes (physical activity and inactivity) were obtained. Pre-frail participants showed overall better physical function and spent more time in physical activity and less time in long inactivity periods than frail participants (p < 0.05). Risk frailty factors were higher waist perimeter (Odds Ratio [OR]: 1.032, 95%CI: 1.003-1.062), low leg performance (OR: 1.025, 95%CI: 1.008-1.043), and inactivity periods longer than 30 min (OR:1.002, 95%CI: 1.000-1.005). Protective factors were standing balance (OR:0.908, 95%CI: 0.831-0.992) and SPPB score (OR: 0.908, 95%CI: 0.831-0.992) for frailty, handgrip strength (OR: 0.902, 95%CI: 0.844-0.964) for physical frailty, and light (OR: 0.986, 95%CI: 0.976-0.996) and moderate-to-vigorous (OR: 0.983, 95%CI: 0.972-0.996) physical activity for both. Our findings suggest that handgrip strength, balance, and physical activity are protective frailty factors and can be monitored in pre-frail older adults. Moreover, poor lower body performance and long inactivity periods are frailty risk factors, which highlights their importance in frailty assessment.