Frailty and incident heart failure in older men: the British Regional Heart Study

Measuring Frailty Using Self-Report or Automated Tools to Identify Risk of Cardiovascular Events and Mortality: The Million Veteran Program

BACKGROUND

Frailty, a syndrome of physiologic vulnerability, increases cardiovascular disease (CVD) risk. Whether in person or automated frailty tools are ideal for identifying CVD risk remains unclear. We calculated 3 distinct frailty scores and examined their associations with mortality and CVD events in the Million Veteran Program, a prospective cohort of nearly 1 million US veterans.

METHODS AND RESULTS

Veterans aged ≥50 years and enrolled from 2011 to 2018 were included. Two frailty indices (FI) based on the deficit accumulation theory were calculated: the questionnaire-based 36-item Million Veteran Program-FI and 31-item Veterans Affairs-FI using claims data. We calculated Fried physical frailty using the self-reported, 3-item Study of Osteoporotic Fractures. Multivariable-adjusted Cox models examined the association of frailty by each score with primary (all-cause and CVD mortality) and secondary (myocardial infarction, stroke, and heart failure) outcomes. In 190 688 veterans (69±9 years, 94% male, 85% White), 33, 233 (17%) all-cause and 10 115 (5%) CVD deaths occurred. Using Million Veteran Program-FI, 29% were robust, 42% pre-frail, and 29% frail. Frailty prevalence increased by age group (27% in 50-59 to 42% in ≥90 years). Using the Million Veteran Program-FI, over 6±2 years, frail veterans had a higher hazard of all-cause (hazard ratio [HR], 3.05 [95% CI, 2.95-3.16]) and CVD mortality (HR, 3.65 [95% CI, 3.43-3.90]). Findings were concordant for the Veterans Affairs-FI and Study of Osteoporotic Fractures frailty definitions, and remained significant even among younger veterans aged 50-59 years.

CONCLUSIONS

Irrespective of frailty measure, frailty is associated with a higher risk of all-cause mortality and adverse CVD events. Further study of frailty in veterans aged <60 years old is warranted.

Physical Frailty, Genetic Predisposition, and Incident Heart Failure

Background

There is growing interest in the intersection of frailty and heart failure (HF); however, large-sample longitudinal studies in the general population are lacking.

Objectives

The goal of this study was to examine the longitudinal relationship between frailty and incident HF, and whether age and genetic predisposition could modify this association.

Methods

This prospective cohort study included 340,541 participants (45.7% male; mean age 55.9 ± 8.1 years) free of HF at baseline in the UK Biobank. Frailty was assessed by using the Fried frailty phenotype and included weight loss, exhaustion, low physical activity, slow gait speed, and low grip strength. The weighted polygenetic risk score was calculated. Cox models were used to estimate these associations and the interaction between the 2 factors.

Results

During a median 14.1 years of follow-up, 7,590 patients with HF were documented. Compared with nonfrail participants, both prefrail and frail participants had a positive association with the risk of incident HF (prefrail HR: 1.40 [95% CI: 1.17-1.67]; frail HR: 2.07 [95% CI: 1.67-2.57]). Exhaustion (HR: 1.21; 95% CI: 1.03-1.43), slow gait speed (HR: 1.62; 95% CI: 1.39-1.90), and low grip strength (HR: 1.31; 95% CI: 1.14-1.51) were associated with a greater risk of incident HF. Furthermore, genetic susceptibility did not significantly modify the associations (P interaction = 0.094), and the association was significantly strengthened in younger participants (P interaction = 0.008).

Conclusions

Frailty status was associated with a higher risk of incident HF independent of genetic risk. A younger population may be more susceptible to HF when exposed to frailty. Whether the modification of frailty status represents another avenue for preventing HF warrants further investigation.

The burden of frailty in heart failure: Prevalence, impacts on clinical outcomes and the role of heart failure medications

BACKGROUND

Frailty often coexists with heart failure (HF), which significantly aggravates the clinical outcomes of older adults. However, studies investigating the interplay between frailty and HF in older adults are scarce. We aimed to assess the prevalence of frailty using the cumulative deficit approach and evaluate the impacts of frailty on health utilization, use of HF-related medications and adverse clinical outcomes (all-cause mortality, all-cause readmissions and HF readmissions) among older HF patients.

METHODS

A total of 38 843 newly admitted HF patients were identified from Taiwan's National Health Insurance Research Database and categorized into three frailty subgroups (fit, mild frailty and severe frailty) based on the multimorbidity frailty index. Cox regression models and Fine and Gray subdistribution hazard models were used to estimate the impacts of frailty on clinical outcomes at 1 and 2 years of follow-up. Generalized estimating equation models were further conducted to evaluate the associations between longitudinal and time-varying use of HF-related medications and clinical outcomes among distinct frailty subgroups.

RESULTS

Of 38 843 older HF patients (mean age 80.4 ± 8.5 years, 52.3% females) identified, 68.3% were categorized as frail (47.5% of mild frailty and 20.8% of severe frailty). The median number of readmissions (fit: 1 [inter-quartile range-IQR 2], mild frailty: 1 [IQR 2] and severe frailty: 2 [IQR 3]) increased with the severity of frailty. Only 27.3% of HF patients died of cardiovascular diseases regardless of their frailty status. Compared with the fit group, the severe frailty group was associated with increased risk of all-cause mortality (adjusted hazard ratio 1.16, 95% confidence interval [CI] 1.11-1.21), all-cause readmissions (subdistributional hazard ratio (sHR) 1.21, 95% CI 1.16-1.25) and HF-related readmissions (sHR 1.14, 95% CI 1.09-1.20) at 2 years of follow-up. Those who used triple or more HF-related medications were at lower risk for all-cause readmissions (adjusted odds ratio [aOR] 0.49, 95% CI 0.44-0.54) and HF-related readmissions (aOR 0.42, 95% CI 0.37-0.47) at 2 years of follow-up even in the severe frailty group.

CONCLUSIONS

Frailty is highly prevalent and associated with increased risk of all-cause mortality, all-cause readmissions and HF readmissions among older HF patients. Those who were using triple or more HF-related medications were at lower risk of adverse clinical outcomes across distinct frailty subgroups. Further studies are needed to optimize the treatment strategies for older HF patients with distinct frailty status.

The Effect of Frailty on the Efficacy and Safety of Intensive Blood Pressure Control: A Post Hoc Analysis of the SPRINT Trial

BACKGROUND

Frailty is associated with an increased risk of all-cause death and cardiovascular events. However, it is uncertain whether frailty modifies the efficacy and safety of intensive blood pressure control.

METHODS

Data from SPRINT (Systolic Blood Pressure Intervention Trial) were used to construct a frailty index. Subgroup differences in intensive blood pressure control treatment effects and safety outcomes were measured on a relative and an absolute scale in patients with and without frailty (defined as a frailty index >0.21) using Cox proportional hazard models and generalized linear models, respectively. The primary outcome was a composite of myocardial infarction, acute coronary syndrome without myocardial infarction, stroke, heart failure, and cardiovascular death.

RESULTS

A total of 9306 patients (mean age, 67.9±9.4 years), 2560 (26.7%) of whom had frailty, were included in our study. Over a median follow-up of 3.22 years, 561 primary outcomes were observed. Patients with frailty had a significantly higher risk of primary outcome in both the intensive and standard blood pressure control arms (adjusted hazard ratio, 2.10 [95% CI, 1.59-2.77] and 1.85 [95% CI, 1.46-2.35], respectively). Intensive treatment effects on primary and secondary outcomes were not significantly different on a relative scale (except for cardiovascular death [hazard ratio in patients with and without frailty, 0.91 (95% CI, 0.52-1.60) versus 0.30 (95% CI, 0.16-0.59), respectively; Pinteraction=0.01]) or absolute scale. There was no significant interaction between frailty and risks for serious adverse events with intensive treatment.

CONCLUSIONS

Frailty status was a marker of high cardiovascular risk. Patients with frailty benefit similarly to other patients from intensive blood pressure control without an increased risk of serious adverse events.

Bidirectional Association Between Frailty and Cardiac Structure and Function: The Atherosclerosis Risk in Communities Study

Background Frailty and heart failure frequently coexist in late life. Limited data exist regarding the longitudinal associations of frailty and subclinical cardiac dysfunction. We aim to quantify the association of frailty with longitudinal changes in cardiac function and of cardiac function with progression in frailty status in older adults. Methods and Results Participants in the Atherosclerosis Risk in Communities cohort underwent frailty assessments at Visit 5 (V5; 2011-2013), V6 (2016-2017), and V7 (2018-2019), and echocardiographic assessments at V5 and V7. We assessed the association between frailty status at V5 and changes in frailty status from V5 to V7 and changes in cardiac function over 6 years. We then evaluated the association of cardiac function measured at Visit 5 with progression in frailty status over 4 years. Multivariable regression models adjusted for demographics and comorbidities. Among 2574 participants free of heart failure at V5 and V7 (age 74±4 years at V5 and 81±4 years at V7), 3% (n=83) were frail. Frailty at V5 was associated with greater left atrial volume index and E/e' ratio at V5 and 7. Participants who transitioned from robust at V5 to frail at V7 demonstrated greater increases in left ventricular mass index, left atrial volume index, and E/e' over the same period. Among 1648 robust participants at Visit 5, greater left ventricular mass index and mean wall thickness, lower tissue Doppler imaging e', and higher E/e' ratio at Visit 5 were associated with progression in frailty status. Conclusions Among robust, older adults free of heart failure, progression in frailty and subclinical left ventricular remodeling and diastolic dysfunction are interrelated.

The Relationship of Oral Health with Progression of Physical Frailty among Older Adults: A Longitudinal Study Composed of Two Cohorts of Older Adults from the United Kingdom and United States

OBJECTIVE

To investigate the prospective associations between oral health and progression of physical frailty in older adults.

DESIGN

Prospective analysis.

SETTING AND PARTICIPANTS

Data are from the British Regional Heart Study (BRHS) comprising 2137 men aged 71 to 92 years from 24 British towns and the Health, Aging, and Body Composition (HABC) Study of 3075 men and women aged 70 to 79 years.

METHODS

Oral health markers included denture use, tooth count, periodontal disease, self-rated oral health, dry mouth, and perceived difficulty eating. Physical frailty progression after ∼8 years follow-up was determined based on 2 scoring tools: the Fried frailty phenotype (for physical frailty) and the Gill index (for severe frailty). Logistic regression models were conducted to examine the associations between oral health markers and progression to frailty and severe frailty, adjusted for sociodemographic, behavioral, and health-related factors.

RESULTS

After full adjustment, progression to frailty was associated with dentition [per each additional tooth, odds ratio (OR) 0.97; 95% CI: 0.95-1.00], <21 teeth with (OR 1.74; 95% CI: 1.02-2.96) or without denture use (OR 2.45; 95% CI 1.15-5.21), and symptoms of dry mouth (OR ≥1.8; 95% CI ≥ 1.06-3.10) in the BRHS cohort. In the HABC Study, progression to frailty was associated with dry mouth (OR 2.62; 95% CI 1.05-6.55), self-reported difficulty eating (OR 2.12; 95% CI 1.28-3.50) and ≥2 cumulative oral health problems (OR 2.29; 95% CI 1.17-4.50). Progression to severe frailty was associated with edentulism (OR 4.44; 95% CI 1.39-14.15) and <21 teeth without dentures after full adjustment.

CONCLUSIONS AND IMPLICATIONS

These findings indicate that oral health problems, particularly tooth loss and dry mouth, in older adults are associated with progression to frailty in later life. Additional research is needed to determine if interventions aimed at maintaining (or improving) oral health can contribute to reducing the risk, and worsening, of physical frailty in older adults.

Physical, Psychological and Social Frailty Are Predictive of Heart Failure: A Cross-Sectional Study

Background: Little is known about frailty among patients hospitalized with heart failure (HF). To date, the limited information on frailty in HF is based on a unidimensional view of frailty, in which only physical aspects are considered when determining frailty. The aims of this study were to study different dimensions of frailty (physical, psychological and social) in patients with HF and the effect of different dimensions of frailty on the incidence of heart failure. Methods: The study used a cross-sectional design and included 965 patients hospitalized for heart failure and 164 healthy controls. HF was defined according to the ESC guidelines. The Tilburg Frailty Indicator (TFI) was used to assess frailty. Probit regression analyses and chi-square statistics were used to examine associations between the occurrence of heart failure and TFI domains of frailty. Results: Patients diagnosed with frailty were 15.3% more likely to develop HF compared to those not diagnosed with frailty (p < 0.001). An increase in physical, psychological and social frailty corresponded to an increased risk of HF of 2.9% (p < 0.001), 4.4% (p < 0.001) and 6.6% (p < 0.001), respectively. Conclusions: We found evidence of the association between different dimensions of frailty and incidence of HF.