Change in Body Mass Index and Cardiovascular Outcomes in Patients With Cancer.

OBJECTIVE: To investigate the association between body mass index (BMI) changes and the risk of cardiovascular disease (CVD) in patients with cancer. PATIENTS AND METHODS: This retrospective observational study used data from the JMDC Claims Database obtained between January 2005, and April 2021. We included 52,344 individuals (median [IQR] age, 53 years [46 to 60 years]; 23,584 [45.1%] men) with cancer and no prior CVD. Patients were classified into 3 groups based on the percentage change in BMI from the initial health checkup to the checkup 1 year later: -5.0% or less (BMI loss), -5.0% to 5.0% (stable BMI), and 5.0% or more (BMI gain). The primary end point was composite CVD events including heart failure, atrial fibrillation, ischemic heart disease, and stroke. RESULTS: During a median follow-up period of 763 days (IQR, 369 to 1274 days), 3124 composite CVD events were observed. Compared with stable BMI, the hazard ratios (HRs) of BMI loss and gain for CVD events were 1.16 (95% CI, 1.00 to 1.34) and 1.10 (95% CI, 0.96 to 1.25), respectively. A U-shaped association was observed between the BMI changes and CVD events, particularly for nonatherosclerotic CVD outcomes including heart failure and atrial fibrillation. Compared with stable BMI, both BMI loss and gain increased the risk of heart failure (HR, 1.30; 95% CI, 1.08 to 1.57 and HR, 1.22; 95% CI, 1.02 to 1.47, respectively) and atrial fibrillation (HR, 1.70; 95% CI, 1.18 to 2.45 and HR, 1.55; 95% CI, 1.07 to 2.24, respectively). CONCLUSION: Cancer survivors with BMI loss and gain were at greater risk of CVD. Body mass index loss is associated with a higher risk of CVD.

Investigation of the usefulness of a bile duct biopsy and bile cytology using a hyperspectral camera and machine learning.

To improve the efficiency of pathological diagnoses, the development of automatic pathological diagnostic systems using artificial intelligence (AI) is progressing; however, problems include the low interpretability of AI technology and the need for large amounts of data. We herein report the usefulness of a general-purpose method that combines a hyperspectral camera with machine learning. As a result of analyzing bile duct biopsy and bile cytology specimens, which are especially difficult to determine as benign or malignant, using multiple machine learning models, both were able to identify benign or malignant cells with an accuracy rate of more than 80% (93.3% for bile duct biopsy specimens and 83.2% for bile cytology specimens). This method has the potential to contribute to the diagnosis and treatment of bile duct cancer and is expected to be widely applied and utilized in general pathological diagnoses.

Prognostic Value of Objective Social Isolation and Loneliness in Older Patients With Heart Failure: Subanalysis of FRAGILE-HF and Kitasato Cohort.

BACKGROUND: Social factors encompass a broad spectrum of nonmedical factors, including objective (social isolation [SI]) and perceived (loneliness) conditions. Although social factors have attracted considerable research attention, information regarding their impact on patients with heart failure is scarce. We aimed to investigate the prognostic impact of objective SI and loneliness in older patients with heart failure. METHODS AND RESULTS: This study was conducted using the FRAGILE-HF (Prevalence and Prognostic Value of Physical and Social Frailty in Geriatric Patients Hospitalized for Heart Failure; derivation cohort) and Kitasato cohorts (validation cohort), which included hospitalized patients with heart failure aged ≥65 years. Objective SI and loneliness were defined using the Japanese version of Lubben Social Network Scale-6 and diagnosed when the total score for objective and perceived questions on the Lubben Social Network Scale-6 was below the median in the FRAGILE-HF. The primary outcome was 1-year death. Overall, 1232 and 405 patients in the FRAGILE-HF and Kitasato cohorts, respectively, were analyzed. Objective SI and loneliness were observed in 57.8% and 51.4% of patients in the FRAGILE-HF and 55.4% and 46.2% of those in the Kitasato cohort, respectively. During the 1-year follow-up, 149 and 31 patients died in the FRAGILE-HF and Kitasato cohorts, respectively. Cox proportional hazard analysis revealed that objective SI, but not loneliness, was significantly associated with 1-year death after adjustment for conventional risk factors in the FRAGILE-HF. These findings were consistent with the validation cohort. CONCLUSIONS: Objective SI assessed using the Lubben Social Network Scale-6 may be a prognostic indicator in older patients with heart failure. Given the lack of established SI assessment methods in this population, further research is required to refine such methods.

Bendopnea prevalence and prognostic value in older patients with heart failure: FRAGILE-HF-SONIC-HF post hoc analysis.

AIMS: This study aimed to investigate the prevalence, clinical characteristics, and prognostic value of bendopnea in older patients hospitalized for heart failure. METHODS: This post hoc analysis was performed using two prospective, multicenter, observational studies: the FRAGILE-HF (main cohort) and SONIC-HF (validation cohort) cohorts. Patients were categorized based on the presence of bendopnea, which was evaluated before discharge. The primary endpoint was 2-year all-cause mortality after discharge. RESULTS: Among the 1,243 patients (median age, 81 years; 57.2% male) in the FRAGILE-HF cohort and 225 (median age, 79 years; 58.2% men) in the SONIC-HF cohort, bendopnea was observed in 31 (2.5%) and 10 (4.4%) patients, respectively. Over a 2-year follow-up period, all-cause death occurred in 20.8% and 21.9% of the patients in the FRAGILE-HF and SONIC-HF cohorts, respectively. Kaplan-Meier survival curves demonstrated significantly higher mortality rates in patients with bendopnea than in those without bendopnea in the FRAGILE-HF (log-rank P = 0.006) and SONIC-HF cohorts (log-rank P = 0.014). Cox proportional hazard analysis identified bendopnea as an independent prognostic factor for all-cause mortality in both the FRAGILE-HF (hazard ratio [HR] 2.11, 95% confidence interval [CI] 1.18-3.78, P = 0.012) and SONIC-HF cohorts (HR 4.20, 95% CI 1.63-10.79, P = 0.003), even after adjusting for conventional risk factors. CONCLUSIONS: Bendopnea was observed in a relatively small proportion of older patients hospitalized for heart failure before discharge. However, its presence was significantly associated with an increased risk of all-cause mortality.

This study investigated how common it is for older patients with heart failure to have trouble breathing when they bend forward, and whether this affects their chances of survival. The study found that although this problem is not very common, it is linked to a higher risk of death. Key findings: Only a small number of older patients with heart failure have trouble breathing when they bend forward.However, those who do have this problem are more likely to die.

Cancer history and physical function in patients with cardiovascular disease.

Both cancer and cardiovascular disease (CVD) cause skeletal muscle mass loss, thereby increasing the likelihood of a poor prognosis. We investigated the association between cancer history and physical function and their combined association with prognosis in patients with CVD. We retrospectively reviewed 3,796 patients with CVD (median age: 70 years; interquartile range [IQR]: 61-77 years) who had undergone physical function tests (gait speed and 6-minute walk distance [6MWD]) at discharge. We performed multiple linear regression analyses to assess potential associations between cancer history and physical function. Moreover, Kaplan-Meier curves and Cox regression analyses were used to evaluate prognostic associations in four groups of patients categorized by the absence or presence of cancer history and of high or low physical function. Multiple regression analyses showed that cancer history was significantly and independently associated with a lower gait speed and 6MWD performance. A total of 610 deaths occurred during the follow-up period (median: 3.1 years; IQR: 1.4-5.4 years). The coexistence of low physical function and cancer history in patients with CVD was associated with a significantly higher mortality risk, even after adjusting for covariates (cancer history/low gait speed, hazard ratio [HR]: 1.93, P < 0.001; and cancer history/low 6MWD, HR: 1.61, P = 0.002). Cancer history is associated with low physical function in patients with CVD, and the combination of both factors is associated with a poor prognosis.

Sex Differences in the Association Between Depression and Incident Cardiovascular Disease.

Background: Depression is a known risk factor for cardiovascular disease (CVD), but the potential sex differences in this association remain unclear. Objectives: The aim of this study was to investigate the association between depression and subsequent CVD events, and to explore potential sex differences. Methods: The authors conducted a retrospective analysis using the JMDC Claims Database between 2005 and 2022. The study population included 4,125,720 individuals aged 18 to 75 years without a history of cardiovascular disease or renal failure and missing data at baseline. Participants were followed up for a mean of 1,288 days to assess the association between depression and subsequent CVD events, such as myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Results: Our analysis revealed a significant association between depression and subsequent composite CVD events in both men and women, with a stronger association observed in women. The HR for the composite endpoint was 1.64 (95% CI: 1.59-1.70) in women and 1.39 (95% CI: 1.35-1.42) in men after multivariable adjustment (P for interaction <0.001). Furthermore, the individual components of the composite endpoint were also associated with depression in both men and women, each of which was also observed to be more strongly associated in women. Conclusions: Our study provides evidence of a significant association between depression and subsequent CVD events in both men and women, with a more pronounced association observed in women. These findings highlight the importance of addressing depression and tailoring prevention and management strategies according to sex-specific factors.

Oral nutritional supplements in older outpatients with heart failure: rationale and design of the ALIMENT-HF trial.

AIMS: The ALIMENT-HF trial aims to determine whether high-calorie and high-protein oral nutritional supplements (ONS) are safe and beneficial for older adult outpatients with heart failure (HF). METHODS AND RESULTS: This multicentre, single-arm, interventional pilot trial is designed to evaluate the tolerance, efficacy, and safety of ONS in older adult outpatients with chronic HF, malnutrition, and anorexia. In total, 80 outpatients with HF regardless of their left ventricular ejection fraction will be treated with ONS, including high-energy (900 kcal/day) and high protein (36 g/day) supplementation, at eight sites in Japan. Inclusion criteria are as follows: age, ≥65 years; outpatients receiving maximally tolerated guideline-directed medical therapy for HF and without change in their diuretic dosage during the last 3 months; outpatients at risk of malnutrition, defined as a Malnutrition Universal Screening Tool score ≥1 point, and anorexia, defined using a Simplified Nutritional Appetite Questionnaire for the Japanese Elderly (SNAQ-JE) score of ≤14 points. Nutritional intervention will continue for up to 120 days, with an observational period lasting for a further 60 days. The primary outcome is a change in body weight between baseline and day 120. CONCLUSIONS: The ALIMENT-HF trial will evaluate the tolerance, efficacy, and safety of high-calorie and high-protein-rich ONS in older outpatients with HF co-morbid with malnutrition and anorexia and will provide insightful information for future randomized controlled trials.

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.

Prevalence of osteosarcopenia and its association with mortality and fractures among patients undergoing hemodialysis.

INTRODUCTION: Osteosarcopenia is an age-related syndrome characterized by the coexistence of osteoporosis and sarcopenia. Little is known about the clinical implications of osteosarcopenia among patients undergoing hemodialysis. This study investigated the prevalence of osteosarcopenia and its association with all-cause mortality and fractures in this population. MATERIALS AND METHODS: This retrospective cohort study included outpatients undergoing hemodialysis in Japan. Sarcopenia was defined according to the recommendations of the Asian Working Group for Sarcopenia 2019. Osteoporosis was defined as a T-score of the calcaneus bone < - 2.5. We divided patients into three groups: robust (no osteoporosis or sarcopenia), osteoporosis or sarcopenia alone (osteoporosis without sarcopenia or sarcopenia without osteoporosis), and osteosarcopenia (osteoporosis and sarcopenia). Cox proportional-hazard and negative binomial regression models were used to estimate the associations between osteosarcopenia and all-cause mortality and fractures. RESULTS: Among the 328 patients (mean age, 65.5 ± 11.3 years; men, 59.1%), the prevalence of osteosarcopenia was 22.9%. During the follow-up period (1972 person-years), 131 deaths and 113 fractures occurred. Patients with osteoporosis or sarcopenia alone (hazard ratio 1.36; 95% confidence interval 0.85-2.18) and osteosarcopenia (hazard ratio 2.13; 95% confidence interval, 1.23-3.68) showed a higher risk of all-cause mortality than the robust group. Similar results were observed for the risk of fractures in patients with osteosarcopenia. CONCLUSIONS: Patients undergoing hemodialysis showed a high prevalence of osteosarcopenia, and osteosarcopenia was associated with a poor prognosis in this patient population. Assessing osteosarcopenia may be useful for accurate prognostic stratification of patients undergoing hemodialysis.

Metabolic syndrome and cardiovascular disease in cancer survivors.

BACKGROUND: The risk of subsequent cardiovascular disease (CVD) is high in cancer survivors. Although metabolic syndrome is an established risk factor for CVD, its association with cancer survivors has not yet been established. This study aimed to clarify whether metabolic syndrome is associated with subsequent CVD risk in patients with cancer using a nationwide epidemiological dataset. METHODS: We retrospectively analysed 53 510 patients with a history of breast, colorectal, or stomach cancer, which is reportedly a major site for developing cancer in Japan. Study participants were categorized into two groups based on the presence of metabolic syndrome, defined using the Japanese criteria (high waist circumference and ≥2 metabolic parameters including elevated blood pressure, elevated triglycerides, reduced high-density lipoprotein cholesterol, or elevated fasting plasma glucose). The clinical outcomes were collected between 2005 and 2021. The primary endpoint was defined as the composite CVD outcome, including myocardial infarction, angina pectoris, stroke, and heart failure. RESULTS: The median patient age was 54 years, and 37.5% of the patients were men. Metabolic syndrome was observed in 5558 (10.4%) patients. Over a mean follow-up period of 973 ± 791 days, 3085 composite CVD outcomes were recorded. Multivariable Cox regression analyses showed that metabolic syndrome was associated with a greater risk of developing CVD events (HR = 1.29, 95% CI = 1.15-1.45). Metabolic syndrome was also associated with an increased risk of CVD in patients with a follow-up period ≥1 year (HR = 1.33, 95% CI = 1.15-1.53). This relationship was also observed when metabolic syndrome was defined according to the International Diabetes Federation criteria (HR = 1.34, 95% CI = 1.21-1.49) and the National Cholesterol Education Program Adult Treatment Panel III criteria (HR = 1.32, 95% CI = 1.19-1.46). Subgroup analyses showed that the relationship between metabolic syndrome and incident CVD was more pronounced in the non-obese participants than in the obese participants. CONCLUSIONS: Metabolic syndrome is associated with a greater risk of developing CVD, even among cancer survivors.

Screening for sarcopenia with SARC-F in older patients hospitalized with cardiovascular disease.

OBJECTIVES: SARC-F ≥ 4 points are used for detecting sarcopenia; however, finding a lower SARC-F cut-off value may lead to early detection of sarcopenia. We investigated the SARC-F score with the highest sensitivity and specificity value to identify sarcopenia in older patients with cardiovascular disease (CVD). Motor performances were also examined for each SARC-F score. METHODS: This retrospective cross-sectional study examined the sensitivity and specificity of every 1-point increase in SARC-F score to predict sarcopenia. Eligible participants included patients with CVD (≥ 65 years old) who were admitted for acute CVD treatment and participated in cardiac rehabilitation. Patients completed the SARC-F questionnaire and the sarcopenia assessment. Areas under the curves (AUCs) were investigated for the ability to predict sarcopenia. Multivariable linear regression was used to compare the mean value of physical functions (e.g., Walking speed, leg strength, and 6-minute walking distance) of each SARC-F score. RESULTS: A total of 1066 participants (63.8% male; median age: 78 years) were included. Sarcopenia was present in 401 patients. SARC-F cut-off ≥ 2 presented the optimal balance between sensitivity (68.3%) and specificity (55.6%) to detect sarcopenia (the AUCs = 0.658; 95% confidence interval: 0.625-0.691). Even when the patients have low scores (1-3), increasing every 1 point of SARC-F score was associated with lower physical functions, such as lower muscle strength and shorter walking distance (all p < 0.001). CONCLUSIONS: SARC-F cut-off ≥ 2 was optimal for screening sarcopenia, and even a low SARC-F score is helpful in finding earlier sarcopenia and low physical function in patients with CVD.

Incidence of Hospitalization-Associated Disability in Older Patients With Heart Failure.

BACKGROUND: This study determined the incidence of hospitalization-associated disability (HAD) and its characteristics in older patients with heart failure in Japan.Methods and Results: Ninety-six institutions participated in this nationwide multicenter registry study (J-Proof HF). From December 2020 to March 2022, consecutive heart failure patients aged ≥65 years who were prescribed physical rehabilitation during hospitalization were enrolled. Of the 9,403 patients enrolled (median age 83.0 years, 50.9% male), 3,488 (37.1%) had HAD. Compared with the non-HAD group, the HAD group was older and had higher rates of hypertension, chronic kidney disease, and cerebrovascular disease comorbidity. The HAD group also had a significantly lower Barthel Index score and a significantly higher Kihon checklist score before admission. Of the 9,403 patients, 2,158 (23.0%) had a preadmission Barthel Index score of <85 points. Binomial logistic analysis revealed that age and preadmission Kihon checklist score were associated with HAD in patients with a preadmission Barthel Index score of ≥85, compared with New York Heart Association functional classification and preadmission cognitive decline in those with a Barthel Index score <85. CONCLUSIONS: This nationwide registry survey found that 37.1% of older patients with HF had HAD and that these patients are indicated for convalescent rehabilitation. Further widespread implementation of rehabilitation for older patients with heart failure is expected in Japan.

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.

Clinical Impact of Improvement in Sarcopenia through Cardiac Rehabilitation in Patients with Heart Failure.

OBJECTIVES: Sarcopenia in patients with heart failure (HF) is associated with poor prognosis. Cardiac rehabilitation (CR) decreases the incidence of adverse events in patients with HF. However, the clinical implications of improving sarcopenia status through CR remain unclear. This study investigated the relationship between the changes in sarcopenia status in patients with HF undergoing outpatient CR and the risk of mortality and adverse events. DESIGN: This was a retrospective cohort study of patients hospitalized at the Kitasato University Hospital Cardiovascular Center for the treatment of HF between January 2007 and December 2020. SETTING AND PARTICIPANTS: Patients with HF whose sarcopenia status was assessed at hospital discharge and following at least 3 months of outpatient CR were included. Based on the sarcopenia status, all patients were divided into 3 groups: patients without sarcopenia at discharge (ie, robust), patients with sarcopenia at discharge but no sarcopenia following CR (ie, improved), and patients with sarcopenia at discharge and following CR (ie, unimproved). METHODS: Cox regression analysis was used to examine the risk of all-cause death associated with the 3 sarcopenia status groups. RESULTS: Of 546 patients with HF (median age: 70 years; male: 63.6%), 377 (69.0%), 54 (9.9%), and 115 (21.1%) were classified as robust, improved, and unimproved, respectively. Multivariate Cox regression analysis showed that the unimproved group had a significantly greater risk of all-cause death when compared to the robust group [hazard ratio (HR) 2.603, 95% CI 1.375-4.930, P = .004], but it did not differ from the improved group (HR 1.403, 95% CI 0.598-3.293, P = .43). CONCLUSIONS AND IMPLICATIONS: No improvement in sarcopenia status in patients with HF undergoing outpatient CR was associated with a higher risk of all-cause death. Sarcopenia may be an important target to improve the prognosis of patients with HF.

Impact of Long-Term Exercise-Based Cardiac Rehabilitation in Patients With Chronic Heart Failure　- A Systematic Review and Meta-Analysis.

BACKGROUND: This study aimed to clarify the effects of exercise-based cardiac rehabilitation (CR) on patients with heart failure.Methods and Results: Patients were divided into groups according to intervention duration (<6 and ≥6 months). We searched for studies published up to July 2023 in Embase, MEDLINE, PubMed, and the Cochrane Library, without limitations on data, language, or publication status. We included randomized controlled trials comparing the efficacy of CR and usual care on mortality, prehospitalization, peak oxygen uptake (V̇O2), and quality of life. Seventy-two studies involving 8,495 patients were included in this review. It was found that CR reduced the risk of rehospitalization for any cause (risk ratio [RR] 0.80; 95% confidence interval [CI] 0.70-0.92) and for heart failure (RR 0.88; 95% CI 0.78-1.00). Furthermore, CR was found to improve exercise tolerance (measured by peak V̇O2and the 6-min walk test) and quality of life. A subanalysis performed based on intervention duration (<6 and ≥6 months) revealed a similar trend. CONCLUSIONS: Our meta-analysis showed that although CR does not reduce mortality, it is effective in reducing rehospitalization rates and improving exercise tolerance and quality of life, regardless of the intervention duration.

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.

A machine-learning-based prediction of non-home discharge among acute heart failure patients.

BACKGROUND: Scarce data on factors related to discharge disposition in patients hospitalized for acute heart failure (AHF) were available, and we sought to develop a parsimonious and simple predictive model for non-home discharge via machine learning. METHODS: This observational cohort study using a Japanese national database included 128,068 patients admitted from home for AHF between April 2014 and March 2018. The candidate predictors for non-home discharge were patient demographics, comorbidities, and treatment performed within 2 days after hospital admission. We used 80% of the population to develop a model using all 26 candidate variables and using the variable selected by 1 standard-error rule of Lasso regression, which enhances interpretability, and 20% to validate the predictive ability. RESULTS: We analyzed 128,068 patients, and 22,330 patients were not discharged to home; 7,879 underwent in-hospital death and 14,451 were transferred to other facilities. The machine-learning-based model consisted of 11 predictors, showing a discrimination ability comparable to that using all the 26 variables (c-statistic: 0.760 [95% confidence interval, 0.752-0.767] vs. 0.761 [95% confidence interval, 0.753-0.769]). The common 1SE-selected variables identified throughout all analyses were low scores in activities of daily living, advanced age, absence of hypertension, impaired consciousness, failure to initiate enteral alimentation within 2 days and low body weight. CONCLUSIONS: The developed machine learning model using 11 predictors had a good predictive ability to identify patients at high risk for non-home discharge. Our findings would contribute to the effective care coordination in this era when HF is rapidly increasing in prevalence.

Trajectory of Abdominal Skeletal Muscle Changes During Cardiac Rehabilitation in Patients With Aortic Disease.

OBJECTIVE: This study focused on routine computed tomography imaging for aortic disease management and evaluated the trajectory of skeletal muscle changes through inpatient and outpatient cardiac rehabilitation. DESIGN: Prospective observational study included patients who underwent abdominal computed tomography three times (baseline, postacute care, and follow-up). The area and density of the all-abdominal and erector spine muscles and intramuscular adipose tissue were measured. A generalized linear model with patients as random effects was used to investigate skeletal muscle changes. RESULTS: Thirty-nine patients completed outpatient cardiac rehabilitation, and 60 were incomplete. Skeletal muscle area significantly decreased from baseline to the follow-up period only in the incomplete rehabilitation group. Skeletal muscle density significantly decreased from baseline to postacute care and increased at the follow-up period, but only patients who completed rehabilitation showed recovery up to baseline at the follow-up period. These trajectories were more pronounced in the erector spine muscle. Intramuscular adipose tissue showed a trend of gradual increase, but only the incomplete rehabilitation group showed a significant difference from baseline to the follow-up period. CONCLUSIONS: The density of skeletal muscle may reflect the most common clinical course; skeletal muscle area and intramuscular adipose tissue are unlikely to improve positively, and their maintenance seemed optimal.

The Association between the Level of Ankle-Brachial Index and the Risk of Poor Physical Function in Patients with Cardiovascular Disease.

AIMS: The progression of atherosclerosis and decline in physical function are poor prognostic factors in patients with cardiovascular disease (CVD). The ankle-brachial index (ABI) is a widely used indicator of the degree of progression of atherosclerosis, which may be used to identify patients with CVD who are at risk of poor physical function. This study examined the association between ABI and poor physical function in patients with CVD. METHODS: We reviewed the data of patients with CVD who completed the ABI assessment and physical function tests (6-min walking distance, gait speed, quadriceps isometric strength, and short physical performance battery). Patients were divided into five categories according to the level of ABI, and the association between ABI and poor physical function was examined using multiple logistic regression analysis. Additionally, restricted cubic splines were used to examine the nonlinear association between ABI and physical function. RESULTS: A total of 2982 patients (median [interquartile range] age: 71[62-78] years, 65.8% males) were included in this study. Using an ABI range of 1.11-1.20 as a reference, logistic regression analysis showed that ABI ≤ 1.10 was associated with poor physical function. The restricted cubic spline analysis showed that all physical functions increased with an increase in ABI level. The increase in physical function plateaued at an ABI level of approximately 1.1. CONCLUSIONS: ABI may be used to identify patients with poor physical function. ABI levels below 1.1 are potentially associated with poor physical function in patients with CVD.

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.