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.

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.

This study aimed to compare the effects of moderate- and high-intensity resistance and impact training (MiRIT and HiRIT, respectively) on changes in bone mineral density (BMD) in postmenopausal women with osteoporosis. Randomized controlled trials that compared the intervention effects of MiRIT and HiRIT were used as selection criteria to assess study patients with osteoporosis or an osteoporotic condition. Database searches were conducted on August 25, 2022, using CENTRAL, PubMed, CINAHL Web of Science, EMBASE, and MEDLINE. A risk of bias assessment was performed using Revised Cochrane risk of bias tool for the assessment of randomized controlled trials. Point estimates and 95 % confidence intervals of change in BMD derived using dual-energy X-ray absorptiometry were collected as outcomes, and a meta-analysis was performed using the amount of change in BMD before and after the intervention. Adverse event data were also collected. The search yielded six studies (391 patients, mean age 53–65 years) that met the inclusion criteria. The intervention duration ranged from 24 weeks to 13 months. Compared with the MiRIT group, the HiRIT group showed significantly improved BMD of the lumbar spine (standardized mean difference 2.37 [0.10–4.65]). However, a high degree of heterogeneity was observed for three studies (154 patients, I² = 98 %). Almost all studies reported minimal adverse events. The certainty of evidence was extremely low because of the risk of bias, inconsistency among studies, and imprecision in terms of sample size. Postmenopausal women with osteoporosis may achieve more significantly improved lumbar spine BMD with HiRIT than with MiRIT.

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