Transitions in Frailty and 4-Year Mortality Risk in Taiwan Longitudinal Study on Aging

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

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

Intrinsic capacity transitions predict overall and cause-specific mortality, incident disability, and healthcare utilization

OBJECTIVES

To develop an intrinsic capacity (IC) score and to investigate the association between IC transition with overall and cause-specific mortality, incident disability and healthcare utilization.

DESIGN

Retrospective cohort study SETTING AND PARTICIPANTS: Data from 1852 respondents aged ≥ 65 years who completed the 1999 and 2003 surveys of the Taiwan Longitudinal Study on Aging were analyzed.

MEASUREMENTS

Transitions of IC score were categorized into three groups: (1) Improved IC (IC2003-1999 >0), (2) Stable IC (IC2003-1999 = 0), (3) Worsened IC (IC2003-1999 <0). Cox regression and subdistribution hazard models were used to investigate IC transitions and 4-year overall and cause-specific mortality, respectively. Logistic regression were employed to develop weighted IC score (wIC, 0-16) and assess its association with incident disability and healthcare utilization. Similar analysis were repeated using non-weighted IC (nIC, 0-8) to ensure robustness.

RESULTS

Comparing to decreased wIC group, stable or increased wIC participants had significantly lower 4-year all-cause mortality, and death from infection, cardiometabolic/cerebrovascular diseases, organ failure and other causes. (Hazard ratio (HR) ranged from 0.36 to 0.56, 95% CI ranged from 0.15 to 1.00, p ≤ 0.049 in the stable wIC group; HR ranged from 0.41 to 0.51, 95% CI ranged from 0.22 to 0.94, p ≤ 0.034 in the increased wIC group). Moreover, individuals with stable or increased wIC demonstrated lower risk of incident disability and hospitalization. (Odds ratio (OR) = ranged from 0.34 to 0.70, 95% CI ranged from 0.19 to 1.00, p ≤ 0.048). Participants with stable wIC also exhibited reduced risk of emergency department visits (OR = 0.58, 95% CI = 0.41 to 0.82, p = 0.002). These results were generally consistent in the nIC model.

CONCLUSION

Participants with stable or increased IC experienced significantly lower all-cause and most cause-specific mortality, incident disability, and healthcare utilization, which was independent of baseline IC and comorbidities. The findings remained consistent across weighted and non-weighted IC model.

Frailty and all-cause and cancer-related mortality in cancer patients: A prospective cohort study

PURPOSE

To evaluate the associations between frailty and all-cause and cancer-related mortality. Additionally, the objective is to compare the magnitude of these associations between older adults and younger adults.

METHODS

We gathered baseline data from NHANES (1999-2018) and developed a cumulative index consisting of 39 items to evaluate frailty. The National Death Index database was utilized to track the survival status of individuals. The Cox regression model was employed to estimate the associations between frailty status and all-cause and cancer-related mortality.

RESULTS

Ultimately, 3398 cancer patients were included in the analysis, comprising 910 younger adults and 2488 older adults. Compared to non-frail patients, the elevated all-cause and cancer-related mortality among pre-frail patients was not statistically significant (HRs = 1.312, 95%CI: 0.956-1.800, P = 0.092; HRs = 1.462, 0.811-2.635, P = 0.207). However, a significant elevation of both all-cause and cancer-related mortality risk was observed among frail patients (HRs = 2.213, 1.617-3.030, P < 0.001; HRs = 2.463, 95%CI = 1.370-4.429, P = 0.003). Frailty individuals demonstrated a more pronounced association with the prediction of all-cause mortality in younger (HRs = 2.230, 1.073-4.634, P = 0.032) than in older adults (HRs = 2.090, 1.475-2.960, P < 0.001). Sensitivity analysis consistently revealed robust results. RCS plots suggested a progressively escalating dose-response correlation between frailty and both all-cause and cancer-related mortality risk.

CONCLUSIONS

Pre-frailty did not result in an increase in mortality risks compared to non-frailty. However, frailty caused a higher all-cause and cancer-related mortality risk than non-frailty. Identifying those at risk and implementing targeted interventions may contribute to extending healthy life expectancy, regardless of age.

Association of changes in frailty status with the risk of all-cause mortality and cardiovascular death in older people: results from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

BACKGROUND

Few studies have investigated the association between changes in frailty status and all-cause mortality, inconsistent results were reported. What's more, studies that evaluated the effect of changes of frailty on cardiovascular death in older population are scanty. Therefore, the present study aims to investigate the association of such changes with the risk of all-cause mortality and cardiovascular death in older people, using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

METHODS

A total of 2805 older participants from two consecutive waves (i.e. 2011 and 2014) of the CLHLS were included for analysis. Based on the changes in frailty status from wave 2011 to wave 2014, participants were categorized into 4 subgroups, including sustained pre/frailty, robustness to pre/frailty, pre/frailty to robustness and sustained robustness. Study outcomes were all-cause mortality and cardiovascular death, and Cox regression analysis examined the association of changes in frailty status with outcomes.

RESULTS

From wave 2011 to wave 2014, 33.2% of the participants had frailty transitions. From wave 2014 to wave 2018, there were 952 all-cause mortalities and 170 cardiovascular deaths during a follow-up of 9530.1 person-years, and Kaplan-Meier analysis demonstrated that cumulative incidences of the two outcomes were significantly lower in more robust participants (all log-rank p < 0.001). Compared with the subgroup of sustained pre/frailty, the fully adjusted HRs of all-cause mortality were 0.61 (95% CI: 0.51-0.73, p < 0.001), 0.51 (95% CI: 0.42-0.63, p < 0.001) and 0.41 (0.34-0.49, p < 0.001) in the subgroup of robustness to pre/frailty, the subgroup of pre/frailty to robustness, and the subgroup of sustained robustness, respectively. The fully adjusted HRs of cardiovascular death were 0.79 (95% CI: 0.52-1.19, p = 0.256) in the subgroup of robustness to pre/frailty, 0.45 (95% CI: 0.26-0.76, p = 0.003) in the subgroup of pre/frailty to robustness and 0.51 (0.33-0.78, p = 0.002) in the subgroup of sustained robustness when comparing to the subgroup of sustained pre/frailty, respectively. Stratified analysis and extensive sensitivity analyses revealed similar results.

CONCLUSIONS

Frailty is a dynamic process, and improved frailty and remaining robust are significantly associated with lower risk of all-cause mortality and cardiovascular death in older people.

Frailty predicts all-cause and cause-specific mortality among older adults in Austria: 8-year mortality follow-up of the Austrian Health Interview Survey (ATHIS 2014)

BACKGROUND

The frailty index (FI) is an established predictor of all-cause mortality among older adults, but less is known with regard to cause-specific mortality, and whether the predictive power of the FI varies between men and women and by socio-economic position.

METHODS

We assessed all-cause and cause-specific mortality during 8 years of follow-up (median = 7 years) among the population-representative sample of older adults (65 + , n = 2,561) from the European Health Interview Survey in Austria (ATHIS 2014). A FI at baseline was constructed from 41 health deficits. Official cause of death information from Statistics Austria was linked with the survey data by the Austrian Micro Data Center (AMDC). Next to all-cause mortality, we differentiated between mortality from cardiovascular diseases (CVD), cancer, and other causes. Cox proportional hazard models adjusted for socio-demographic variables and causes of death as competing risks were used to assess mortality prediction.

RESULTS

Among the participants, 43.5% were robust (FI < 0.10), 37.7% pre-frail (FI = 0.10-0.21), and 18.7% were frail (FI > 0.21). 405 (15.8%) participants died during follow-up. Among the deceased, 148 (36.5%) died from CVD, 127 (31.4%) died from cancer, and 130 (32.1%) died from other causes of death. The FI predicted all-cause (hazard ratio, HR = 1.33 per 0.1 FI and HR = 2.4 for frail compared to robust older adults) and cause-specific mortality risk (HRCVD = 1.25/2.46, HRcancer = 1.19/1.47, HRother = 1.49/3.59). Area under the curve (AUC) values were acceptable for CVD mortality (0.78) and other causes of death (0.74), and poor for cancer mortality (0.64).

CONCLUSIONS

The FI predicts all-cause and cause-specific mortality (CVD, other causes) well, which points to its relevance as a potential screening tool for risk stratification among community-dwelling older adults.

Longitudinal impact of distinct infection trajectories on all-cause mortality of older people in Taiwan: a retrospective, nationwide, population-based study

BACKGROUND

Infectious diseases are the leading cause of deaths in adults aged 65 years or older. Studies of adverse infection outcomes have been limited to specific infections and acute episodes and have not investigated longitudinal trends of cumulative infections. We aimed to identify distinct trajectories of longitudinal infection episodes in older adults and to assess their corresponding risk of all-cause mortality.

METHODS

In this retrospective cohort study, we included people aged 65 years or older who were admitted to hospital between Jan 1 and Dec 31, 2011, with one of the following infections: urinary tract, pneumonia, sepsis, cellulitis, cholecystitis, peritonitis, endocarditis, and meningitis. Participants were identified from Taiwan's National Health Insurance Research Database. We analysed infection episodes on a quarterly basis during a 5-year period (2011-15) and used group-based trajectory modelling to identify distinct trajectories. We examined the associations between infection trajectories and all-cause mortality using Kaplan-Meier curves and the Cox proportional hazard model.

FINDINGS

Among 79 666 eligible older adults, we identified four distinct infection trajectories over the 5-year follow-up: infrequent (58 619 [73·6%]), increasing (9746 [12·2%]), decreasing (9069 [11·4%]), and frequent (2232 [2·8%]). Compared with people with infrequent infections, the adjusted hazard ratios for all-cause mortality were 2·96 (95% CI 2·82-3·11) in participants with frequent infections, 2·15 (2·09-2·22) in those with increasing infections, and 1·85 (1·80-1·91) in those with decreasing infections.

INTERPRETATION

Older adults with multiple infection episodes, irrespective of type, pathogens, and distinct infection pattern, had greater risk of all-cause mortality compared with those with infrequent infections. Further research to define the overall infection burden in older adults is needed for risk stratification and to inform prevention strategies.

FUNDING

The Interdisciplinary Research Center for Healthy Longevity of National Yang Ming Chiao Tung University from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education, the National Science and Technology Council, and the Ministry of Science and Technology in Taiwan.

Bidirectional relationship between fear of falling and frailty among community-dwelling older adults: A longitudinal study

This study aims to examine the bidirectional association between fear of falling (FOF) and frailty among community-dwelling older adults. Longitudinal analyses were conducted over a representative sample of 5,829 community-dwelling individuals ≥65 years from the National Health and Aging Trends Study. FOF was ascertained by asking participants whether they worried about falling and if this worry ever limited their activities. Frailty status was assessed based on frailty phenotype. At baseline, 71.4% of participants reported no FOF, 16.7% reported FOF without fear-related activity restriction (FAR), and 11.9% reported FOF with FAR. The proportion of robust, pre-frail and frail respondents at baseline was 36.1%, 48.7% and 15.2%, respectively. Multinomial logistic regression models indicated FOF with and without FAR predicted pre-frailty and frailty. Pre-frailty predicted FOF with and without FAR, while frailty only predicted FOF with FAR. Tailored intervention strategies are needed for preventing adverse outcomes of FOF and frailty among the older population.