Gap in the prognostic impact of short physical performance battery among phenotypes of heart failure.

BACKGROUND: The Short Physical Performance Battery (SPPB) has been reported to predict clinical outcomes in patients with heart failure (HF). However, whether the discriminative capacity of SPPB score for adverse outcomes varies according to the phenotypes of HF, such as HF with reduced, mid-range, and preserved left-ventricular ejection fraction (HFrEF, HFmrEF, and HFpEF) remains unclear. The aim of this study was to investigate the difference in discriminative capacity of SPPB score for predicting 2-year mortality among phenotypes of HF. METHODS: We consecutively enrolled 542 adult patients admitted for HF (HFrEF, n = 187; HFmrEF, n = 94; HFpEF, n = 261). The patients underwent SPPB score when discharged from hospital. The primary endpoint was all-cause mortality during the 2 years after hospital discharge. We assessed the discriminative capacity of SPPB score for predicting mortality by using receiver operating characteristic (ROC) curve analysis. RESULTS: A total of 95 events (17.5%) occurred during the follow-up period. The area under the curve of ROC (95% confidence interval) was 0.80 (0.71-0.88) in HFrEF, 0.61 (0.46-0.76) in HFmrEF, and 0.70 (0.61-0.79) in HFpEF group. After adjustment for potential confounders, the hazard ratios (95% confidence interval) of the lower SPPB score were 5.38 (2.34-14.6) in HFrEF group, 1.12 (0.36-3.29) in HFmrEF group, and 3.19 (1.68-6.22) in HFpEF group. CONCLUSIONS: Prognostic value of SPPB score varies according to the HF phenotype. SPPB score predicts mortality in patients with HFrEF and HFpEF, but not in patients with HFmrEF. These findings lead to more precise risk prediction by SPPB score in patients with HF.

A clinical score to predict mortality in patients after acute heart failure from Japanese registry.

AIMS: Clinical scores that consider physical and social factors to predict long-term observations in patients after acute heart failure are limited. This study aimed to develop and validate a prediction model for patients with acute heart failure at the time of discharge. METHODS AND RESULTS: This study was retrospective analysis of the Kitakawachi Clinical Background and Outcome of Heart Failure Registry database. The registry is a prospective, multicentre cohort of patients with acute heart failure between April 2015 and August 2017. The primary outcome to be predicted was the incidence of all-cause mortality during the 3 years of follow-up period. The development cohort derived from April 2015 to July 2016 was used to build the prediction model, and the test cohort from August 2016 to August 2017 was used to evaluate the prediction model. The following potential predictors were selected by the least absolute shrinkage and selection operator method: age, sex, body mass index, activities of daily living at discharge, social background, comorbidities, biomarkers, and echocardiographic findings; a risk scoring system was developed using a logistic model to predict the outcome using a simple integer based on each variable's ß coefficient. Out of 1253 patients registered, 1117 were included in the analysis and divided into the development (n = 679) and test (n = 438) cohorts. The outcomes were 246 (36.2%) in the development cohort and 143 (32.6%) in the test cohort. Eleven variables including physical and social factors were set into the logistic regression model, and the risk scoring system was created. The patients were divided into three groups: low risk (score 0-5), moderate risk (score 6-11), and high risk (score ≥12). The observed and predicted mortality rates were described by the Kaplan-Meier curve divided by risk group and independently increased (P < 0.001). In the test cohort, the C statistic of the prediction model was 0.778 (95% confidence interval: 0.732-0.824), and the mean predicted probabilities in the groups were low, 6.9% (95% confidence interval: 3.8-10%); moderate, 30.1% (95% confidence interval: 25.4%-34.8%); and high, 79.2% (95% confidence interval: 72.6%-85.8%). The predicted probability was well calibrated to the observed outcomes in both cohorts. CONCLUSIONS: The Kitakawachi Clinical Background and Outcome of Heart Failure score was helpful in predicting adverse events in patients with acute heart failure over a long-term period. We should evaluate the physical and social functions of such patients before discharge to prevent adverse outcomes.

Mode of death in elderly and super-elderly patients with acute heart failure: Insights from Japanese heart failure registry.

BACKGROUND: In Japan, both the prevalence of the elderly and super-elderly and those of acute heart failure (AHF) have been increasing rapidly. METHODS: This registry was a prospective multicenter cohort, which enrolled a total of 1253 patients with AHF. In this study, 1117 patients' follow-up data were available and were categorized into three groups according to age: <75 years old (nonelderly), 75-84 years old (elderly), and ≥ 85 years old (super-elderly). The endpoint was defined as all-cause death and each mode of death after discharge during the 3-years follow-up period. RESULTS: Based on the Kaplan-Meier analysis, a gradually increased risk of all-cause death according to age was found. Among the three groups, the proportion of HF death was of similar trend; however, the proportion of infection death was higher in elderly and super-elderly patients. After adjusting for potentially confounding effects using the Cox and Fine-Gray model, the hazard ratio (HR) of all-cause death increased significantly in elderly and super-elderly patients (HR, 2.60; 95% confidence interval [CI], 1.93-3.54 and HR, 5.04; 95% CI, 3.72-6.92, respectively), when compared with nonelderly patients. The highest sub-distribution HR in detailed mode of death was infection death in elderly and super-elderly patients (HR, 4.25; 95% CI, 1.75-10.33 and HR, 10.10; 95% CI, 3.78-27.03, respectively). CONCLUSIONS: In this population, the risk of all-cause death was found to increase in elderly and super-elderly. Elderly patients and especially super-elderly patients with AHF were at a higher risk for noncardiovascular death, especially infection death.

Association Between Physical Status and the Effects of Combination Therapy With Renin-Angiotensin System Inhibitors and ß-Blockers in Patients With Acute Heart Failure.

Background: This study investigated whether combination therapy (CT) with renin-angiotensin system inhibitors and ß-blockers improved endpoints in acute heart failure (AHF). Methods and Results: AHF patients were recruited to this prospective multicenter cohort study between April 2015 and August 2017. Patients were divided into 3 categories based on ejection fraction (EF), namely heart failure (HF) with reduced EF (HFrEF), HF with midrange EF (HFmrEF), and HF with preserved EF (HFpEF), and a further into 2 groups according to physical status (those who could walk independently outdoors and those who could not). The composite endpoint included all-cause mortality and hospitalization for HF. Data at the 1-year follow-up were available for 1,018 patients. The incidence of the composite endpoint was significantly lower in the CT than non-CT group for HFrEF patients, but not among HFmrEF and HFpEF patients. For patients who could walk independently outdoors, a significantly lower rate of the composite endpoint was recorded only in the HFrEF group. The differences were maintained even after adjustment for comorbidities and prescriptions, with hazard ratios (95% confidence intervals) of 0.39 (0.20-0.76) and 0.48 (0.22-0.99), respectively. Conclusions: In this study, CT was associated with the prevention of adverse outcomes in patients with HFrEF. Moreover, CT prevented adverse events only among patients without a physical disorder, not among those with a physical disorder.

Living Alone and Gender Differences in Rehospitalization for Heart Failure After Discharge Among Acute Heart Failure Patients.

Home treatment for heart failure (HF) is one of the most important problems in patients after discharge as a secondary preventive measure for rehospitalization for HF. However, there are no detailed studies on gender differences in sociopsychological factors such as living alone for HF rehospitalization among patients with acute HF (AHF).This prospective multicenter cohort study enrolled patients with AHF between April 2015 and August 2017. Patients of each gender with first AHF were divided into those living alone and those not living alone. The primary endpoint was defined as rehospitalization for HF after discharge. Cox proportional hazard analysis was performed to determine the association between living alone and the endpoint.Overall, 581 patients were included in this study during the 3-year follow-up. The proportion of rehospitalization for HF was significantly higher in patients living alone than in those not living alone among male patients. However, female patients showed no difference in endpoints between the two groups. The difference was independently maintained even after adjusting for differences in social backgrounds in male patients (adjusted hazard ratio (HR) 2.02; 95% confidence interval (CI), 1.07-3.70). In female patients, the HR for rehospitalization for HF showed no difference between the two groups (adjusted HR, 0.99; 95% CI, 0.56-1.69).In this study population, male patients living alone after first AHF discharge had a higher risk of rehospitalization for HF than those not living alone, but these differences were not observed in female patients.

Impact of home- and community-based services in the long-term care insurance system on outcomes of patients with acute heart failure: Insights from the Kitakawachi Clinical Background and Outcome of Heart Failure Registry.

AIM: In Japan, the long-term care insurance (LTCI) system is important for elderly people living at home; however, no clinical studies have revealed a relationship between home- or community-based services and outcomes in patients with acute heart failure (AHF). METHODS: This was a prospective multicenter cohort study of patients with AHF enrolled between April 2015 and August 2017. Patients aged ≥65 years with LTCI were divided into those receiving home- and community-based services (service users) and without home and community-based services (service non-users). The endpoint was defined as a composite endpoint, which included all-cause mortality and hospitalization for heart failure after discharge. Subgroup analyses were performed for elderly patients (<85 years) or super-elderly patients (≥85 years). RESULTS: The study participants were eligible for LTCI two times more than community-dwelling people were. At the 1-year follow-up period, the rate of the composite endpoint showed no significant difference between service users and service non-users among all patients or super-elderly patients. However, in elderly patients, the rate of the composite endpoint was significantly lower among service users than service non-users. The difference was independently maintained even after adjustments for differences in comorbidities or in social backgrounds (adjusted hazard ratio 0.62; 95% confidence interval 0.38-0.99, and adjusted hazard ratio 0.57; 95% confidence interval 0.35-0.90, respectively). CONCLUSIONS: In this study, adverse events following discharge of patients with AHF who used home- and community-based services were prevented only in elderly patients, not in super-elderly patients. Geriatr Gerontol Int 2020; 20: 967-973.

Clinical Characteristics and Outcomes of Heart Failure Patients With Long-Term Care Insurance　- Insights From the Kitakawachi Clinical Background and Outcome of Heart Failure Registry.

BACKGROUND: In Japan, the long-term care insurance (LTCI) system has an important role in helping elderly people, but there have been no clinical studies that have examined the relationship between the LTCI and prognosis for patients with acute heart failure (HF).Methods and Results:This registry was a prospective multicenter cohort, 1,253 patients were enrolled and 965 patients with acute HF aged ≥65 years were comprised the study group. The composite endpoint included all-cause death and hospitalization for HF after discharge. We divided the patients into 4 groups: (i) patients without LTCI, (ii) patients requiring support level 1 or 2, (iii) patients with care level 1 or 2, and (iv) patients with care levels 3-5. The Kaplan-Meier analysis identified a lower rate of the composite endpoint in group (i) than in the other groups. After adjusting for potentially confounding effects using a Cox proportional regression model, the hazard ratio (HR) of the composite endpoint increased significantly in groups (iii) and (iv) (adjusted HR, 1.62; 95% confidence interval [CI], 1.22-1.98 and adjusted HR, 1.62; 95% CI, 1.23-2.14, respectively) when compared with group (i). However, there was no significant difference between groups (i) and (ii). CONCLUSIONS: The level of LTCI was associated with a higher risk of the composite endpoint after discharge in acute HF patients.

A decline in activities of daily living due to acute heart failure is an independent risk factor of hospitalization for heart failure and mortality.

BACKGROUND: Although activities of daily living (ADL) are recognized as being pertinent in averting relevant readmission of heart failure (HF) and mortality, little research has been conducted to assess a correlation between a decline in ADL and outcomes in HF patients. METHODS: The Kitakawachi Clinical Background and Outcome of Heart Failure Registry is a prospective, multicenter, community-based cohort of HF patients. We categorized the patients into four types of ADL: independent outdoor walking, independent indoor walking, indoor walking with assistance, and abasia. We defined a decline in ADL (decline ADL) as downgrade of ADL and others (non-decline ADL) as preservation of ADL before discharge compared with admission. RESULTS: Among 1253 registered patients, 923 were eligible, comprising 98 (10.6%) with decline ADL and 825 (89.4%) with non-decline ADL. Decline ADL exhibited a higher risk of hospitalization for HF and mortality compared with non-decline ADL. A multivariate analysis revealed that decline ADL emerged as an independent risk factor of hospitalization for HF [hazard ratio (HR), 1.42; 95% confidence interval (CI): 1.01-1.96; p=0.046] and mortality (HR, 1.95; 95% CI: 1.23-2.99; p<0.01). Although 66.3% of patients with decline ADL were registered for long-term care insurance, few received daycare services (32.7%) or home-visit medical services (8.2%). CONCLUSIONS: Decline in ADL is a predictor of hospitalization for HF and mortality in HF patients.

Clinical Characteristics and Social Frailty of Super-Elderly Patients With Heart Failure　- The Kitakawachi Clinical Background and Outcome of Heart Failure Registry.

BACKGROUND: Social background is important in preventing admission/readmission of heart failure (HF) patients. However, few clinical studies have been conducted to assess the social background of these patients, especially elderly patients.Methods and Results:The Kitakawachi Clinical Background and Outcome of Heart Failure (KICKOFF) Registry is a prospective multicenter community-based cohort of HF patients, established in April 2015. We compared the clinical characteristics and social background of the super-elderly group (≥85 years old) and the non-super-elderly group (<85 years old). This study included 647 patients; 11.8% of the super-elderly patients were living alone, 15.6% were living with only a partner, and of these, only 66.7% had the support of other family members. The super-elderly group had less control over their diet and drug therapies than the non-super-elderly group. Most patients in the super-elderly group were registered for long-term care insurance (77.4%); 73.5% of the super-elderly patients could walk independently before admission, but only 55.5% could walk independently at discharge, whereas 94% of the non-super-elderly patients could walk independently before admission and 89.4% could walk independently at discharge. CONCLUSIONS: The KICKOFF Registry provides unique detailed social background information of Japanese patients with HF. Super-elderly patients are at serious risk of social frailty; they need the support of other people and their ability to perform activities of daily living decline when hospitalized.