Sex differences in the prevalence and prognostic impact of physical frailty and sarcopenia among older patients with heart failure.

BACKGROUND AND AIMS: Frailty and sarcopenia are common and confer poor prognosis in elderly patients with heart failure; however, gender differences in its prevalence or prognostic impact remain unclear. METHODS AND RESULTS: We included 1332 patients aged ≥65 years, who were hospitalized for heart failure. Frailty and sarcopenia were defined using the Fried phenotype model and Asian Working Group for Sarcopenia criteria, respectively. Gender differences in frailty and sarcopenia, and interactions between sex and prognostic impact of frailty/sarcopenia on 1-year mortality were evaluated. Overall, 53.9% men and 61.0% women and 23.7% men and 14.0% women had frailty and sarcopenia, respectively. Although sarcopenia was more prevalent in men, no gender differences existed in frailty after adjusting for age. On Kaplan-Meier analysis, frailty and sarcopenia were significantly associated with 1-year mortality in both sexes. On Cox proportional hazard analysis, frailty was associated with 1-year mortality only in men, after adjusting for confounding factors (hazard ratio [HR], 1.94; 95% confidence interval [CI], 1.19-3.16; P = 0.008 for men; HR, 1.63; 95% CI, 0.84-3.13; P = 0.147 for women); sarcopenia was an independent prognostic factor in both sexes (HR, 1.93; 95% CI, 1.13-3.31; P = 0.017 for men; HR, 3.18; 95% CI, 1.59-5.64; P = 0.001 for women). There were no interactions between sex and prognostic impact of frailty/sarcopenia (P = 0.806 for frailty; P = 0.254 for sarcopenia). CONCLUSIONS: Frailty and sarcopenia negatively affect older patients with heart failure from both sexes. CLINICAL TRIALS: This study was registered at the University Hospital Information Network (UMIN-CTR, unique identifier: UMIN000023929) before the first patient was enrolled.

Sarcopenic obesity is associated with impaired physical function and mortality in older patients with heart failure: insight from FRAGILE-HF.

BACKGROUND: The purpose of this study was to clarify the prevalence, association with frailty and exercise capacity, and prognostic implication of sarcopenic obesity in patients with heart failure. METHODS: The present study included 779 older adults hospitalized with heart failure (median age: 81 years; 57.4% men). Sarcopenia was diagnosed based on the guidelines by the Asian Working Group for Sarcopenia. Obesity was defined as the percentage of body fat mass (FM) obtained by bioelectrical impedance analysis. The FM cut-off points for obesity were 38% for women and 27% for men. The primary endpoint was 1-year all-cause death. We assessed the associations of sarcopenic obesity occurrence with the short physical performance battery (SPPB) score and 6-minute walk distance (6MWD). RESULTS: The rates of sarcopenia and obesity were 19.3 and 26.2%, respectively. The patients were classified into the following groups: non-sarcopenia/non-obesity (58.5%), non-sarcopenia/obesity (22.2%), sarcopenia/non-obesity (15.3%), and sarcopenia/obesity (4.0%). The sarcopenia/obesity group had a lower SPPB score and shorter 6MWD, which was independent of age and sex (coefficient, - 0.120; t-value, - 3.74; P < 0.001 and coefficient, - 77.42; t-value, - 3.61; P < 0.001; respectively). Ninety-six patients died during the 1-year follow-up period. In a Cox proportional hazard analysis, sarcopenia and obesity together were an independent prognostic factor even after adjusting for a coexisting prognostic factor (non-sarcopenia/non-obesity vs. sarcopenia/obesity: hazard ratio, 2.48; 95% confidence interval, 1.22-5.04; P = 0.012). CONCLUSION: Sarcopenic obesity is a risk factor for all-cause death and low physical function in older adults with heart failure. TRIAL REGISTRATION: University Hospital Information Network (UMIN-CTR: UMIN000023929 ).

Coexistence of Non-Lower Body Mass Index and Exercise Habits Reduce Readmission in Older Patients With Heart Failure.

Objective: To investigate the impact of body mass index (BMI) and exercise habits on readmission rates among older patients with heart failure. Methods: Ninety-seven older patients admitted for heart failure (median age: 81 years; 57.7% male) were included in the study. Patients were categorized into four groups based on the presence or absence of lower BMI and/or the absence of exercise habits. Lower BMI was defined as BMI<20.3 kg/m2 at discharge and exercise habits were defined as engaging in 30 or more minutes of moderate or vigorous exercise at least once a week. The primary outcome was all-cause readmission during the 1-year follow-up period. Results: The patients were distributed across four groups: lower BMI/non-exerciser (n=24, 24.7%), lower BMI/exerciser (n=22, 22.7%), non-lower BMI/non-exerciser (n=21, 21.6%), and non-lower BMI/exerciser (n=30, 30.9%). Forty-six patients (47.4%) experienced readmission during the 1-year follow-up period. In a cox proportional hazard analysis, non-lower BMI/exerciser remained an independent prognostic factor even after adjusting for confounding factors (non-lower BMI/exerciser vs. lower BMI/non-exerciser: hazard ratio, 0.26; 95% confidence interval, 0.08-0.83; p=0.022). Conclusion: The coexistence of non-lower BMI and regular exercise habits may reduce readmission during the 1-year in older patients with heart failure. Therefore, it is imperative to conduct appropriate nutritional assessments for patients with lower BMI at discharge. Additionally, promoting and monitoring sustained physical activity after discharge is crucial for older patients with heart failure.

Association and Prognostic Value of Multidomain Frailty Defined by Cumulative Deficit and Phenotype Models in Patients With Heart Failure.

BACKGROUND: Frailty is associated with a poor prognosis in older patients with heart failure (HF). However, multidomain frailty assessment tools have not been established in patients with HF, and the association between the frailty phenotype and the deficit-accumulation frailty index in these patients is unclear. We aimed to understand this relationship and evaluate the prognostic value of the deficit-accumulation frailty index in older patients with HF. METHODS: We retrospectively analyzed FRAGILE-HF cohort, which consisted of prospectively registered hospitalized patients with HF aged ≥ 65 years. The frailty index was calculated using 34 health-related items. The physical, social, and cognitive domains of frailty were evaluated using a phenotypic approach. The primary endpoint was all-cause mortality. RESULTS: Among 1027 patients with HF (median age, 81 years; male, 58.1%; median frailty index, 0.44), a higher frailty index was associated with a higher prevalence in all domains of cognitive, physical, and social frailty defined by the phenotype model. During the 2-year follow-up period, a higher frailty index was independently associated with all-cause death even after adjustment for Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score plus log B-type natriuretic peptide (per 0.1 increase: hazard ratio, 1.21; 95% confidence interval, 1.07-1.37; P = 0.002). The addition of the frailty index to the baseline model yielded statistically significant incremental prognostic value (net reclassification improvement, 0.165; 95% confidence interval, 0.012-0.318; P = 0.034). CONCLUSIONS: A higher frailty index was associated with a higher prevalence of all domains of frailty defined by the phenotype model and provided incremental prognostic information with pre-existing risk factors in older patients with HF.

Predictive value of the Ishii score for sarcopenia and the prognosis of older patients hospitalized with heart failure.

AIMS: Although sarcopenia is common and associated with poor outcomes in patients with heart failure, its simple screening methods remain unclear. We aimed to investigate the predictive value of the Ishii score, which includes age, grip strength, and calf circumference, for sarcopenia and its prognostic predictability in patients with heart failure. METHODS: This was a subanalysis of the FRAGILE-HF study. Receiver operating characteristic curves were used to evaluate the predictive value for sarcopenia. Patients were stratified into the high and low Ishii score groups based on the cutoff values of the Ishii score determined by the Youden index for sarcopenia, and the 1-year mortality rates were compared. RESULTS: Of the 1262 study participants, 936 were evaluated with sarcopenia, and 184 (55 women, 129 men) were diagnosed with sarcopenia. The areas under the receiver operating characteristic curves for sarcopenia were 0.73 and 0.87 for women and men, respectively. The optimal cutoff values for predicting sarcopenia were 165 and 141 for women and men, respectively. Using these cutoff values, the sensitivity and specificity for sarcopenia were 70.9% and 68.5% for women and 88.4% and 69.7% for men, respectively. At 1 year, 151 (low Ishii score group, 98; high Ishii score group, 53) deaths were observed. Adjusted Cox proportional hazards analysis showed that the high Ishii score group was significantly associated with 1-year mortality. CONCLUSION: Among older patients hospitalized for heart failure, the Ishii score is useful for predicting sarcopenia and 1-year mortality. Geriatr Gerontol Int 2024; 24: 147-153.

Lymphocyte-to-C-reactive protein ratio and score in patients with heart failure: Nutritional status, physical function, and prognosis.

AIMS: In heart failure (HF), inflammation is linked to malnutrition and impaired physical function. In this study, we aimed to assess how novel nutritional-inflammatory markers and lymphocyte-to-C-reactive protein ratio (LCR) and score (LCS) are associated with the nutritional status, physical function, and prognosis of patients with HF. METHODS AND RESULTS: This study was a secondary analysis of the FRAGILE-HF study, a prospective observational study conducted across 15 hospitals in Japan. We included 1212 patients (mean age, 80.2 ± 7.8 years; 513 women) hospitalized with HF, who were classified into three groups according to their LCS score: 0 (n = 498), 1 (n = 533), and 2 (n = 181). Baseline data on physical examination, echocardiography, blood test results (including lymphocyte counts and CRP levels), and oral medication usage were collected in a clinically compensated state before discharge. Nutritional status and physical function were evaluated using several indices and tests. The primary outcome of this study was all-cause death within 2 years. Univariate and multivariate linear regression analyses were performed to evaluate the associations among the nutritional status, physical function, and LCR/LCS. Patients with an LCS score of 2 were older and had a lower body mass index than those in the other two groups. Multivariate linear regression analysis revealed that lower LCR and higher LCS were independently associated with worse nutritional status, lower handgrip strength, shorter physical performance battery score, and shorter 6-min walk distance. At 2 years, all-cause death occurred in 254 patients: 86 (17.6%), 113 (21.5%), and 55 (30.9%) with LCS scores of 0, 1, and 2, respectively (P = 0.001). Cox proportional hazards analysis revealed that LCR and LCS were significantly associated with 2-year mortality even after adjusting for the conventional risk model (LCS score, 0 vs. 2: hazard ratio, 1.64; 95% confidence interval [CI]; 1.14-2.35; P = 0.007; log-transformed LCR: hazard ratio, 0.88; 95% CI, 0.81-0.95; P = 0.002). LCR yielded additional prognostic predictability compared with the conventional risk model (continuous net reclassification improvement, 0.153; 95% CI, 0.007-0.299; P = 0.041). CONCLUSIONS: LCR and LCS emerge as potential predictors of nutritional status, physical function, and prognosis in older patients with HF.

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.

Prognostic impact of MitraScore in elderly Asian patients with heart failure: sub-analysis of FRAGILE-HF.

AIMS: MitraScore is a novel, simple, and manually calculatable risk score developed as a prognostic model for patients undergoing transcatheter edge-to-edge repair (TEER) for mitral regurgitation. As its components are considered prognostic in heart failure (HF), we aimed to investigate the usefulness of the MitraScore in HF patients. METHODS AND RESULTS: We calculated MitraScore for 1100 elderly patients (>65 years old) hospitalized for HF in the prospective multicentre FRAGILE-HF study and compared its prognostic ability with other simple risk scores. The primary endpoint was all-cause deaths, and the secondary endpoints were the composite of all-cause deaths and HF rehospitalization and cardiovascular deaths. Overall, the mean age of 1100 patients was 80 ± 8 years, and 58% were men. The mean MitraScore was 3.2 ± 1.4, with a median of 3 (interquartile range: 2-4). A total of 326 (29.6%), 571 (51.9%), and 203 (18.5%) patients were classified into low-, moderate-, and high-risk groups based on the MitraScore, respectively. During a follow-up of 2 years, 226 all-cause deaths, 478 composite endpoints, and 183 cardiovascular deaths were observed. MitraScore successfully stratified patients for all endpoints in the Kaplan-Meier analysis (P < 0.001 for all). In multivariate analyses, MitraScore was significantly associated with all endpoints after covariate adjustments [adjusted hazard ratio (HR) (95% confidence interval): 1.22 (1.10-1.36), P < 0.001 for all-cause deaths; adjusted HR 1.17 (1.09-1.26), P < 0.001 for combined endpoints; and adjusted HR 1.24 (1.10-1.39), P < 0.001 for cardiovascular deaths]. The Hosmer-Lemeshow plot showed good calibration for all endpoints. The net reclassification improvement (NRI) analyses revealed that the MitraScore performed significantly better than other manually calculatable risk scores of HF: the GWTG-HF risk score, the BIOSTAT compact model, the AHEAD score, the AHEAD-U score, and the HANBAH score for all-cause and cardiovascular deaths, with respective continuous NRIs of 0.20, 0.22, 0.39, 0.39, and 0.29 for all-cause mortality (all P-values < 0.01) and 0.20, 0.22, 0.42, 0.40, and 0.29 for cardiovascular mortality (all P-values < 0.02). CONCLUSIONS: MitraScore developed for patients undergoing TEER also showed strong discriminative power in HF patients. MitraScore was superior to other manually calculable simple risk scores and might be a good choice for risk assessment in clinical practice for patients receiving TEER and those with HF.

Prognostic impact of cachexia by multi-assessment in older adults with heart failure: FRAGILE-HF cohort study.

BACKGROUND: Cachexia substantially impacts the prognosis of patients with heart failure (HF); however, there is no standard method for cachexia diagnosis. This study aimed to investigate the association of Evans's criteria, consisting of multiple assessments, with the prognosis of HF in older adults. METHODS: This study is a secondary analysis of the data from the FRAGILE-HF study, a prospective multicentre cohort study that enrolled consecutive hospitalized patients aged ≥65 years with HF. Patients were divided into two groups: the cachexia and non-cachexia groups. Cachexia was defined according to Evans's criteria by assessing weight loss, muscle weakness, fatigue, anorexia, a decreased fat-free mass index and an abnormal biochemical profile. The primary outcome was all-cause mortality, as assessed in the survival analysis. RESULTS: Cachexia was present in 35.5% of the 1306 enrolled patients (median age [inter-quartile range], 81 [74-86] years; 57.0% male); 59.6%, 73.2%, 15.6%, 71.0%, 44.9% and 64.6% had weight loss, decreased muscle strength, a low fat-free mass index, abnormal biochemistry, anorexia and fatigue, respectively. All-cause mortality occurred in 270 patients (21.0%) over 2 years. The cachexia group (hazard ratio [HR], 1.494; 95% confidence interval [CI], 1.173-1.903; P = 0.001) had a higher mortality risk than the non-cachexia group after adjusting for the severity of HF. Cardiovascular and non-cardiovascular deaths occurred in 148 (11.3%) and 122 patients (9.3%), respectively. The adjusted HRs for cachexia in cardiovascular mortality and non-cardiovascular mortality were 1.456 (95% CI, 1.048-2.023; P = 0.025) and 1.561 (95% CI, 1.086-2.243; P = 0.017), respectively. Among the cachexia diagnostic criteria, decreased muscle strength (HR, 1.514; 95% CI, 1.095-2.093; P = 0.012) and low fat-free mass index (HR, 1.424; 95% CI, 1.052-1.926; P = 0.022) were significantly associated with high all-cause mortality, but there was no significant association between weight loss alone (HR, 1.147; 95% CI, 0.895-1.471; P = 0.277) and all-cause mortality. CONCLUSIONS: Cachexia evaluated by multi-assessment was present in one third of older adults with HF and was associated with a worse prognosis. A multimodal assessment of cachexia may be helpful for risk stratification in older patients with HF.

Prognostic implications of six-minute walking distance in patients with heart failure with preserved ejection fraction.

BACKGROUND: The incremental prognostic value of the six-minute walking test over conventional risk factors has not been evaluated in an adequate number of patients with heart failure with preserved ejection fraction (HFpEF). Therefore, we aimed to examine its prognostic significance using data from the FRAGILE-HF study. METHODS AND RESULTS: A total of 513 older patients who were hospitalized for worsening heart failure were examined. Patients were classified according to the tertiles of six-minute walking distance (6MWD): T1 (<166 m), T2 (166-285 m), and T3 (≥285 m). During the 2-year follow-up period after discharge, 90 all-cause deaths occurred. Kaplan-Meier curves showed that the T1 group had significantly higher event rates than the other groups (log-rank p = 0.007). Cox proportional hazard analysis revealed that the T1 group was independently associated with lower survival, even after adjusting for conventional risk factors (T3: hazard ratio 1.79, 95% confidence interval 1.02-3.14, p = 0.042). The addition of the 6MWD to the conventional prognostic model showed a statistically significant incremental prognostic value (net reclassification improvement 0.27, 95% confidence interval 0.04-0.49; p = 0.019). CONCLUSIONS: The 6MWD is associated with survival in patients with HFpEF and has an incremental prognostic value over conventional well-validated risk factors.

Prevalence and prognostic impact of the coexistence of cachexia and sarcopenia in older patients with heart failure.

BACKGROUND: No study with an adequate patients' number has examined the relationship/overlap between sarcopenia and cachexia. We examined the prevalence of the overlap and prognostic implications of sarcopenia and cachexia in older patients with heart failure using well-accepted definitions. METHODS: This was a post-hoc sub-analysis of the FRAGILE-HF study, a prospective, multicenter, observational study conducted at 15 hospitals in Japan. In total, 905 hospitalized older patients were classified into four groups based on the presence or absence of cachexia and/or sarcopenia, which were defined according to the Evans and Asian Working Group for Sarcopenia criteria revised in 2019, respectively. The primary endpoint was 2-year all-cause mortality. RESULTS: Cachexia and sarcopenia prevalence rates were 32.7% and 22.7%, respectively. Patients were classified into the non-cachexia/non-sarcopenia (55.7%), cachexia/non-sarcopenia (21.7%), non-cachexia/sarcopenia (11.6%), and cachexia/sarcopenia (11.0%) groups. During the 2-year follow-up period after discharge, 158 (17.5%) all-cause deaths (124 cardiovascular deaths [CVD] and 34 non-CVD) were observed. The cachexia/sarcopenia group had the lowest body fat mass and exhibited significantly higher mortality rates (log-rank P < 0.001). Cox proportional hazard analysis revealed that cachexia/sarcopenia was an independent prognostic factor after adjusting for known prognostic factors (versus non-cachexia/non-sarcopenia: hazard ratio, 2.78; 95% confidence interval, 1.80-4.29; P < 0.001). Neither cachexia/non-sarcopenia nor non-cachexia/sarcopenia were significantly associated with all-cause mortality compared with non-cachexia/non-sarcopenia. CONCLUSIONS: Cachexia and sarcopenia are prevalent among older hospitalized patients with heart failure; nonetheless, the overlap is not as prominent as previously expected. The presence of cachexia and sarcopenia is a risk factor for all-cause mortality.

Prevalence and prognostic impact of cognitive frailty in elderly patients with heart failure: sub-analysis of FRAGILE-HF.

AIMS: Although evidence suggests that cognitive decline and physical frailty in elderly patients with heart failure (HF) are associated with prognosis, the impact of concurrent physical frailty and cognitive impairment, that is, cognitive frailty, on prognosis has yet to be fully investigated. The current study sought to investigate the prevalence and prognostic impact of cognitive frailty in elderly patients with HF. METHODS AND RESULTS: This study is a sub-analysis of FRAGILE-HF, a prospective multicentre observational study involving patients aged ≥65 years hospitalized for HF. The Fried criteria and Mini-Cog were used to diagnose physical frailty and cognitive impairment, respectively. The association between cognitive frailty and the combined endpoint of mortality and HF rehospitalization within 1 year was then evaluated. Among the 1332 patients identified, 1215 who could be assessed using Mini-Cog and the Fried criteria were included in this study. Among those included, 279 patients (23.0%) had cognitive frailty. During the follow-up 1 year after discharge, 398 combined events were observed. Moreover, cognitive frailty was determined to be associated with a higher incidence of combined events (log-rank: P = 0.0146). This association was retained even after adjusting for other prognostic factors (hazard ratio: 1.55, 95% confidence interval: 1.13-2.13). Furthermore, a sensitivity analysis using grip strength, short physical performance battery, and gait speed to determine physical frailty instead of the Fried criteria showed similar results. CONCLUSIONS: This cohort study found that 23% of elderly patients with HF had cognitive frailty, which was associated with a 1.55-fold greater risk for combined events within 1 year compared with patients without cognitive frailty.

Inaccurate recognition of own comorbidities is associated with poor prognosis in elderly patients with heart failure.

AIMS: A patient's understanding of his or her own comorbidities is part of the recommended patient education for those with heart failure. The accuracy of patients' understanding of their comorbidities and its prognostic impact have not been reported. METHODS AND RESULTS: Patients hospitalized for heart failure (n = 1234) aged ≥65 years (mean age: 80.1 ± 7.7 years; 531 females) completed a questionnaire regarding their diagnoses of diabetes, malignancy, stroke, hypertension, chronic obstructive pulmonary disease (COPD), and coronary artery disease (CAD). The patients were categorized into three groups based on the number of agreements between self-reported comorbidities and provider-reported comorbidities: low (1-2, n = 19); fair (3-4, n = 376); and high (5-6, n = 839) agreement groups. The primary outcome was a composite of all-cause mortality or heart failure rehospitalization at 1 year. The low agreement group had more comorbidities and a higher prevalence of a history of heart failure. The agreement was good for diabetes (κ = 0.73), moderate for malignancy (κ = 0.56) and stroke (κ = 0.50), and poor-to-fair for hypertension (κ = 0.33), COPD (κ = 0.25), and CAD (κ = 0.30). The fair and low agreement groups had poorer outcomes than the good agreement group [fair agreement group: hazard ratio (HR): 1.25; 95% confidence interval (CI): 1.01-1.56; P = 0.041; low agreement group: HR: 2.74: 95% CI: 1.40-5.35; P = 0.003]. CONCLUSIONS: The ability to recognize their own comorbidities among older patients with heart failure was low. Patients with less accurate recognition of their comorbidities may be at higher risk for a composite of all-cause mortality or heart failure rehospitalization.

Work status before admission relates to prognosis in older patients with heart failure partly through social frailty.

BACKGROUND: No reports explicitly examined the relationship between work defined as a certain type of social participation or role and the protective effect on the prognosis of patients with heart failure (HF) by preventing frailty. Therefore, this study examined whether social participation through work before admission relates to future adverse events in HF patients aged ≥65 years, and whether each frailty domain mediates the association between work and prognosis as a second analysis of a multi-centered prospective study (FRAGILE-HF study). METHODS: We retrospectively reviewed 1,332 older patients with HF whose work status before admission to the hospital were investigated. We assessed the physical, cognitive, and social domains of frailty and performed causal mediation analysis to examine the mediating relationship of each frail domain between work status before admission and 1-year combined events (HF-related readmission and all-cause death). RESULTS: The subjects' median age was 81 years, and 56.9% (758/1,332) were male. Among the three domains of frailty, work before admission reduced only social frailty after adjusting for confounding factors (odds ratio: 0.505, 95% confidence interval: 0.364-0.701). Patients with work before admission had a significantly better prognosis (hazard ratio: 0.720, 95% confidence interval: 0.523-0.989). Only social frailty partly mediated the relationship between work status and combined events (p <0.05). CONCLUSIONS: Work status before admission is associated with 1-year combined events, in part through social frailty.

Prognostic value of postural hypotension in hospitalized patients with heart failure.

Although postural hypotension (PH) is reportedly associated with mortality in the general population, the prognostic value for heart failure is unclear. This was a post-hoc analysis of FRAGILE-HF, a prospective multicenter observational study focusing on frailty in elderly patients with heart failure. Overall, 730 patients aged ≥ 65 years who were hospitalized with heart failure were enrolled. PH was defined by evaluating seated PH, and was defined as a fall of ≥ 20 mmHg in systolic and/or ≥ 10 mmHg in diastolic blood pressure within 3 min after transition from a supine to sitting position. The study endpoints were all-cause death and heart failure readmission at 1 year. Predictive variables for the presence of PH were also evaluated. PH was observed in 160 patients (21.9%). Patients with PH were more likely than those without PH to be male with a New York Heart Association classification of III/IV. Logistic regression analysis showed that male sex, severe heart failure symptoms, and lack of administration of angiotensin-converting enzyme inhibitors were independently associated with PH. PH was not associated with 1-year mortality, but was associated with a lower incidence of readmission after discharge after adjustment for other covariates. In conclusion, PH was associated with reduced risk of heart failure readmission but not with 1-year mortality in older patients with heart failure.

Impact of Social Frailty in Hospitalized Elderly Patients With Heart Failure: A FRAGILE-HF Registry Subanalysis.

Background Frailty is conceptualized as an accumulation of deficits in multiple areas and is strongly associated with the prognosis of heart failure (HF). However, the social domain of frailty is less well investigated. We prospectively evaluated the clinical characteristics and prognostic impact of social frailty (SF) in elderly patients with HF. Methods and Results FRAGILE-HF (prevalence and prognostic value of physical and social frailty in geriatric patients hospitalized for heart failure) is a multicenter, prospective cohort study focusing on patients hospitalized for HF and aged ≥65 years. We defined SF by Makizako's 5 items, which have been validated as associated with future disability. The primary end point was a composite of all-cause death and rehospitalization because of HF. The impact of SF on all-cause mortality alone was also evaluated. Among 1240 enrolled patients, 825 (66.5%) had SF. During the 1-year observation period after discharge, the rates of the combined end point and all-cause mortality were significantly higher in patients with SF than in those without SF (Log-rank test: both P < 0.05). SF remained as significantly associated with both the combined end point (hazard ratio, 1.30; 95% CI, 1.02-1.66; P = 0.038) and all-cause mortality (hazard ratio, 1.53; 95% CI, 1.01-2.30; P = 0.044), even after adjusting for key clinical risk factors. Furthermore, SF showed significant incremental prognostic value over known risk factors for both the combined end point (net-reclassification improvement: 0.189, 95% CI, 0.063-0.316, P = 0.003) and all-cause mortality (net-reclassification improvement: 0.234, 95% CI, 0.073-0.395, P = 0.004). Conclusions Among hospitalized geriatric patients with HF, two thirds have SF. Evaluating SF provides additive prognostic information in elderly patients with HF. Registration URL: https://upload.umin.ac.jp/. Unique identifier: UMIN000023929.

Impact of sarcopenia on prognosis in patients with heart failure with reduced and preserved ejection fraction.

AIMS: Sarcopenia, one of the extracardiac factors for reduced functional capacity and poor outcome in heart failure (HF), may act differently between HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF). We sought to investigate the impact of sarcopenia on mortality in HFpEF and HFrEF. METHODS AND RESULTS: We performed a post hoc analysis of a multicentre prospective cohort study, including 942 consecutive older (age ≥65 years) hospitalized patients: 475 with HFpEF (ejection fraction ≥45%, age 81 ± 7 years, 48.8% men) and 467 with HFrEF (ejection fraction <45%, age 78 ± 8 years, 68.1% men). Sarcopenia was diagnosed according to the international criteria incorporating muscle strength (handgrip strength), physical performance (gait speed), and skeletal muscle mass (appendicular skeletal mass). The HFpEF group consisted of fewer patients with low appendicular skeletal muscle mass index measured using bioelectrical impedance analysis [<7.0 kg/m2 (men) and <5.7 (women); 22.1% vs. 31.0%, P = 0.003], and more patients with low handgrip strength [<26 kg (men) and <18 (women); 67.8% vs. 55.5%, P < 0.001], and slow gait speed [<0.8 m/s (both sexes); 54.5% vs. 41.1%, P < 0.001] than the HFrEF group, resulting in a similar sarcopenia prevalence in the two groups (18.1% vs. 21.6%, P = 0.191). Sarcopenia was an independent predictor of 1-year mortality in both HFpEF and HFrEF [hazard ratio (95% confidence interval) 2.42 (1.36-4.32), P = 0.003 in HFpEF and 2.02 (1.08-3.75), P = 0.027 in HFrEF; P for interaction = 0.666] after adjustment for other predictors. CONCLUSIONS: In older patients with HF, sarcopenia contributes to mortality similarly in HFpEF and HFrEF.

Validity and Utility of the Questionnaire-based FRAIL Scale in Older Patients with Heart Failure: Findings from the FRAGILE-HF.

OBJECTIVES: We investigated whether the FRAIL scale questionnaire is consistent with the Fried criteria, predicts all-cause mortality, and reflects physical dysfunction in patients with heart failure (HF). DESIGN: Secondary analysis of FRAGILE-HF, a cohort study that enrolled participants from 2016 to 2018 and followed-up for 1-year of discharge. SETTING AND PARTICIPANTS: A prospective multicenter cohort study in which 15 hospitals in Japan (8 university hospitals and 7 nonuniversity teaching hospitals) participated. We prospectively enrolled 1332 consecutive hospitalized patients ≥65 years old with HF and analyzed 1028 patients after excluding 304 patients with missing data on the FRAIL scale. METHODS: The FRAIL scale, the Fried model, and physical function were measured before discharge. The endpoint was all-cause mortality. RESULTS: According to the FRAIL scale, 459 (44.6%) and 491 (47.8%) were classified as frail and prefrail, respectively. The Kappa coefficient between the FRAIL scale and the Fried criteria were 0.39 [95% confidence interval (CI) 0.34-0.44; P < .001]. The area under the receiver-operating characteristic curves for frailty diagnosed by the Fried criteria of the FRAIL scale was 0.74 (95% CI 0.71-0.76; P < .001). A total of 118 deaths occurred during 1 year of follow-up. After adjusting for the MAGGIC risk score and log-BNP, The FRAIL scale predicted all-cause mortality (hazard ratio 1.17; 95% CI 1.01-1.36; P = .035). The FRAIL scale was also associated with various physical dysfunctions that correlated with poor prognosis. CONCLUSIONS AND IMPLICATIONS: The FRAIL scale had moderate consistency with the Fried criteria, predicted all-cause mortality, and reflected clinically important physical dysfunctions.

Standardized gait speed ratio in elderly patients with heart failure.

AIMS: Although aging is strongly associated with both heart failure and a decline in gait speed, a definition of slowness incorporating an age-related decline has yet to be developed. We aimed to define an event-driven cut-off for the relative decline in gait speed against age-adjusted reference values derived from the general population and evaluate its prognostic implications. METHODS AND RESULTS: Standardized gait speed (SGS) was defined as the median gait speed stratified by age, sex, and height in 3777 elderly (age ≥ 65 years) individuals without a history of cardiovascular diseases (Tokyo Metropolitan Institute of Gerontology-Longitudinal Interdisciplinary Study on Aging: general population cohort). The mortality event-driven optimal cut-off of the SGS ratio (actual gait speed divided by the respective SGS) was defined using FRAGILE-HF cohort data and externally validated using Kitasato cohort data, comprising 1301 and 1247 hospitalized elderly patients with heart failure, respectively. Using FRAGILE-HF data, the optimal SGS ratio cut-off was determined as 0.527. In the Kitasato cohort, SGS ratio < 0.527 was associated with a higher 1 year [hazard ratio (HR): 1.70, 95% confidence interval (CI): 1.07-2.72, P = 0.024] and long-term (HR: 1.46, 95% CI: 1.05-2.02, P = 0.024) mortality rate, independent of pre-existing covariates. CONCLUSIONS: Gait speed was significantly declined in patients with heart failure, even after taking age and sex-related decline into account. A SGS ratio of 0.527 is a validated cut-off for slowness independently associated with mortality in patients with heart failure age ≥65.

Aspartate aminotransferase to alanine aminotransferase ratio is associated with frailty and mortality in older patients with heart failure.

Frailty is a common comorbidity associated with adverse events in patients with heart failure, and early recognition is key to improving its management. We hypothesized that the AST to ALT ratio (AAR) could be a marker of frailty in patients with heart failure. Data from the FRAGILE-HF study were analyzed. A total of 1327 patients aged ≥ 65 years hospitalized with heart failure were categorized into three groups based on their AAR at discharge: low AAR (AAR < 1.16, n = 434); middle AAR (1.16 ≤ AAR < 1.70, n = 487); high AAR (AAR ≥ 1.70, n = 406). The primary endpoint was one-year mortality. The association between AAR and physical function was also assessed. High AAR was associated with lower short physical performance battery and shorter 6-min walk distance, and these associations were independent of age and sex. Logistic regression analysis revealed that high AAR was an independent marker of physical frailty after adjustment for age, sex and body mass index. During follow-up, all-cause death occurred in 161 patients. After adjusting for confounding factors, high AAR was associated with all-cause death (low AAR vs. high AAR, hazard ratio: 1.57, 95% confidence interval, 1.02-2.42; P = 0.040). In conclusion, AAR is a marker of frailty and prognostic for all-cause mortality in older patients with heart failure.