Evaluation of the A2B Score for Prediction of Survival in Patients With Heart Failure in a Nationwide Cohort in Japan.

BACKGROUND: Although a tool for sharing patient prognosis among all medical staff is desirable in heart failure (HF) cases, only a few simple HF prognostic scores are available. We previously presented the A2B score, a simple user-friendly HF risk score, and validated it in a small single-center cohort. In the present study, we validated it in a larger nationwide cohort. METHODS AND RESULTS: We examined the 2-year mortality in relation to the A2B scores in 3483 patients from a Japanese nationwide cohort and attempted to stratify their prognoses according to the scores. The A2B score was determined by assigning points for age, anemia, and brain natriuretic peptide (BNP) level at discharge: age (<65 years, 0; 65-74 years, 1; ≥75 years, 2), anemia (hemoglobin ≥12 g/dL, 0; 10-11.9 g/dL, 1; <10 g/dL, 2), and BNP (<200 pg/mL, 0; 200-499 pg/mL, 1; ≥500 pg/mL, 2). Hemoglobin and BNP levels were applied to the data at discharge. The 2-year survival rates for A2B scores 1, 2, 3, 4, 5, and 6 were 94.1%, 83.2%, 74.1%, 63.5%, 51.6%, and 41.5%, respectively; the mortality rate increased by ≈10% for each point increase (c-index, 0.702). The A2B score was applicable in HF cases with reduced or preserved ejection fraction and remained useful when BNP was substituted with N-terminal proBNP (c-index, 0.749, 0.676, and 0.682, respectively). CONCLUSIONS: The A2B score showed a good prognostic value for HF in a large population even when BNP was replaced with N-terminal proBNP.

Derivation and validation of a clinical predictive model of NT-proBNP ≥125 pg/mL to detect pre-heart failure.

BACKGROUND: Several guidelines recommend the measurement of N-terminal pro-B-type natriuretic peptide (NT-proBNP) to diagnose heart failure (HF); however, no screening criteria for measuring NT-proBNP in asymptomatic patients exist. We develop/validate a clinical prediction model for elevated NT-proBNP to support clinical outpatient decision-making. METHODS: In this multicenter cohort study, we used a derivation cohort (24 facilities) from 2017 to 2021 and a validation cohort at one facility from 2020 to 2021. Patients were aged ≥65 years with at least one risk factor of HF. The primary endpoint was NT-proBNP ≥125 pg/mL. The final model was selected using backward stepwise logistic regression analysis. Diagnostic performance was evaluated for sensitivity and specificity, the area under the curve (AUC), and calibration. In total, 1645 patients (derivation cohort, n = 837; validation cohort, n = 808) were included, of whom 378 (23.0 %) had NT-proBNP ≥125 pg/mL. Body mass index, age, systolic blood pressure, estimated glomerular filtration rate, cardiothoracic ratio, and heart disease were used as predictors and aggregated into a BASE-CH score of 0-11 points. RESULTS: Internal validation resulted in an AUC of 0.74 and an external validation AUC of 0.70. CONCLUSIONS: Based on available clinical and laboratory variables, we developed and validated a new risk score to predict NT-proBNP ≥125 pg/mL in patients at risk for HF or with pre-HF.

Heart failure with preserved ejection fraction phenogroup classification using machine learning.

AIMS: Heart failure (HF) with preserved ejection fraction (HFpEF) is a complex syndrome with a poor prognosis. Phenotyping is required to identify subtype-dependent treatment strategies. Phenotypes of Japanese HFpEF patients are not fully elucidated, whose obesity is much less than Western patients. This study aimed to reveal model-based phenomapping using unsupervised machine learning (ML) for HFpEF in Japanese patients. METHODS AND RESULTS: We studied 365 patients with HFpEF (left ventricular ejection fraction >50%) as a derivation cohort from the Nara Registry and Analyses for Heart Failure (NARA-HF), which registered patients with hospitalization by acute decompensated HF. We used unsupervised ML with a variational Bayesian-Gaussian mixture model (VBGMM) with common clinical variables. We also performed hierarchical clustering on the derivation cohort. We adopted 230 patients in the Japanese Heart Failure Syndrome with Preserved Ejection Fraction Registry as the validation cohort for VBGMM. The primary endpoint was defined as all-cause death and HF readmission within 5 years. Supervised ML was performed on the composite cohort of derivation and validation. The optimal number of clusters was three because of the probable distribution of VBGMM and the minimum Bayesian information criterion, and we stratified HFpEF into three phenogroups. Phenogroup 1 (n = 125) was older (mean age 78.9 ± 9.1 years) and predominantly male (57.6%), with the worst kidney function (mean estimated glomerular filtration rate 28.5 ± 9.7 mL/min/1.73 m2 ) and a high incidence of atherosclerotic factor. Phenogroup 2 (n = 200) had older individuals (mean age 78.8 ± 9.7 years), the lowest body mass index (BMI; 22.78 ± 3.94), and the highest incidence of women (57.5%) and atrial fibrillation (56.5%). Phenogroup 3 (n = 40) was the youngest (mean age 63.5 ± 11.2) and predominantly male (63.5 ± 11.2), with the highest BMI (27.46 ± 5.85) and a high incidence of left ventricular hypertrophy. We characterized these three phenogroups as atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups, respectively. At the primary endpoint, Phenogroup 1 demonstrated the worst prognosis (Phenogroups 1-3: 72.0% vs. 58.5% vs. 45%, P = 0.0036). We also successfully classified a derivation cohort into three similar phenogroups using VBGMM. Hierarchical and supervised clustering successfully showed the reproducibility of the three phenogroups. CONCLUSIONS: ML could successfully stratify Japanese HFpEF patients into three phenogroups (atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups).

Derivation and validation of a machine learning-based risk prediction model in patients with acute heart failure.

BACKGROUND: Risk stratification is important in patients with acute heart failure (AHF), and a simple risk score that accurately predicts mortality is needed. The aim of this study is to develop a user-friendly risk-prediction model using a machine-learning method. METHODS: A machine-learning-based risk model using least absolute shrinkage and selection operator (LASSO) regression was developed by identifying predictors of in-hospital mortality in the derivation cohort (REALITY-AHF), and its performance was externally validated in the validation cohort (NARA-HF) and compared with two pre-existing risk models: the Get With The Guidelines risk score incorporating brain natriuretic peptide and hypochloremia (GWTG-BNP-Cl-RS) and the acute decompensated heart failure national registry risk (ADHERE). RESULTS: In-hospital deaths in the derivation and validation cohorts were 76 (5.1 %) and 61 (4.9 %), respectively. The risk score comprised four variables (systolic blood pressure, blood urea nitrogen, serum chloride, and C-reactive protein) and was developed according to the results of the LASSO regression weighting the coefficient for selected variables using a logistic regression model (4 V-RS). Even though 4 V-RS comprised fewer variables, in the validation cohort, it showed a higher area under the receiver operating characteristic curve (AUC) than the ADHERE risk model (AUC, 0.783 vs. 0.740; p = 0.059) and a significant improvement in net reclassification (0.359; 95 % CI, 0.10-0.67; p = 0.006). 4 V-RS performed similarly to GWTG-BNP-Cl-RS in terms of discrimination (AUC, 0.783 vs. 0.759; p = 0.426) and net reclassification (0.176; 95 % CI, -0.08-0.43; p = 0.178). CONCLUSIONS: The 4 V-RS model comprising only four readily available data points at the time of admission performed similarly to the more complex pre-existing risk model in patients with AHF.

New Classification for the Combined Assessment of the Fractional Excretion of Urea Nitrogen and Estimated Plasma Volume Status in Acute Heart Failure.

Background The fractional excretion of urea nitrogen (FEUN) has been used as a renal blood flow index related to cardiac output, and the estimated plasma volume status (ePVS) as a body fluid volume index. However, the usefulness of their combination in acute decompensated heart failure (HF) management is unclear. We investigated the effect of 4 hemodynamic categories according to the high and low FEUN and ePVS values at discharge on the long-term prognosis of patients with acute decompensated HF. Methods and Results Between April 2011 and December 2018, we retrospectively identified 466 patients with acute decompensated HF with FEUN and ePVS values at discharge. Primary end point was postdischarge all-cause death. Secondary end points were (1) the composite of all-cause death and HF readmission, and (2) HF readmission in a time-to-event analysis. The patients were divided into 4 groups according to the high/low FEUN (≥35%, <35%) and ePVS (>5.5%, ≤5.5%) values at discharge: high-FEUN/low-ePVS, high-FEUN/high-ePVS, low-FEUN/low-ePVS, and low-FEUN/high-ePVS groups. During a median follow-up period of 28.1 months, there were 173 all-cause deaths (37.1%), 83 cardiovascular deaths (17.8%), and 121 HF readmissions (26.0%). The Kaplan-Meier curve analysis showed that the high-FEUN/low-ePVS group had a better prognosis than the other groups (log-rank test, P<0.001). In the multivariable Cox regression analysis, the low-FEUN/high-ePVS group had a higher mortality than the high-FEUN/low-ePVS group (hazard ratio, 2.92 [95% CIs, 1.73-4.92; P<0.001]). Conclusions The new classification of the 4 hemodynamic profiles using the FEUN and ePVS values may play an important role in improving outcomes in patients with stable acute decompensated HF.

Trajectory of serum chloride levels during decongestive therapy in acute heart failure.

BACKGROUND: Hypochloremia is a risk factor for poor outcomes in patients with acute heart failure (AHF). However, the changes in serum chloride levels during decongestion therapy and their impact on prognosis remain unknown. METHODS: In total, 2798 patients with AHF were retrospectively studied and divided into four groups according to their admission and discharge serum chloride levels: (1) normochloremia (n=2,192, 78%); (2) treatment-associated hypochloremia, defined as admission normochloremia with a subsequent decrease (<98 mEq/L) during hospitalization (n=335, 12%); (3) resolved hypochloremia, defined as admission hypochloremia that disappeared at discharge (n=128, 5%); (4) persistent hypochloremia, defined as chloride <98 mEq/L at admission and discharge (n = 143, 5%). The primary outcome was all-cause death, and the secondary outcomes were cardiovascular death and a composite of cardiovascular death and rehospitalization for heart failure after discharge. RESULTS: The mean age was 76 ± 12 years and 1584 (57%) patients were men. The mean left ventricular ejection fraction was 46 ± 16%. During a median follow-up period of 365 days, persistent hypochloremia was associated with an increased risk of all-cause death (adjusted hazard ratio [95% confidence interval]: 2.27 [1.53-3.37], p < 0.001), cardiovascular death (2.38 [1.46-3.87], p < 0.001), and a composite of cardiovascular death and heart failure rehospitalization (1.47 [1.06-2.06], p = 0.022). However, the outcomes were comparable between patients with resolved hypochloremia and normochloremia. CONCLUSIONS: Persistent hypochloremia was associated with worse clinical outcomes, while resolved hypochloremia and normochloremia showed a comparable prognosis. Changes in serum chloride levels can help identify patients with poor prognoses and can be used to determine subsequent treatment strategies.

Association between class of foundational medication for heart failure and prognosis in heart failure with reduced/mildly reduced ejection fraction.

We clarified the association between changes in the number of foundational medications for heart failure (FMHF) during hospitalization for worsening heart failure (HF) and post-discharge prognosis. We retrospectively analyzed a combined dataset from three large-scale registries of hospitalized patients with HF in Japan (NARA-HF, WET-HF, and REALITY-AHF) and patients diagnosed with HF with reduced or mildly reduced left ventricular ejection fraction (HFr/mrEF) before admission. Patients were stratified by changes in the number of prescribed FMHF classes from admission to discharge: angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, beta-blockers, and mineralocorticoid receptor blockers. Primary endpoint was the combined endpoint of HF rehospitalization and all-cause death within 1 year of discharge. The cohort comprised 1113 patients, and 482 combined endpoints were observed. Overall, FMHF prescriptions increased in 413 (37.1%) patients (increased group), remained unchanged in 607 (54.5%) (unchanged group), and decreased in 93 (8.4%) (decreased group) at discharge compared with that during admission. In the multivariable analysis, the increased group had a significantly lower incidence of the primary endpoint than the unchanged group (hazard ratio 0.56, 95% confidence interval 0.45-0.60; P < 0.001). In conclusion, increase in FMHF classes during HF hospitalization is associated with a better prognosis in patients with HFr/mrEF.

Effect of carperitide on the 1 year prognosis of patients with acute decompensated heart failure.

AIMS: Acute heart failure (AHF) is a clinical syndrome with a poor prognosis and a major public health concern worldwide. The aim of this study was to investigate whether carperitide administration improves the 1 year prognosis of patients with AHF and to check whether there is an optimal dose of the drug. METHODS AND RESULTS: We analysed the data of COOPERATE-HF-J (the Consortium for Pooled Data Analysis regarding Hospitalized Patients with Heart Failure in Japan), combining two cohorts (NARA-HF and REALITY-AHF), which included 2435 patients with acute decompensated heart failure. The patients were divided into no carperitide (NO-ANP, n = 1098); very low-dose carperitide (VLD-ANP, <0.02 µg/kg/min, n = 593); and low-dose carperitide groups (LD-ANP, ≥0.02 µg/kg/min, n = 744). The primary endpoint was cardiovascular mortality within 1 year after admission. The secondary endpoints were all-cause mortality and rehospitalization due to worsening heart failure within 1 year after admission. The median carperitide doses in the VLD-ANP and LD-ANP groups were 0.013 and 0.025 µg/kg/min, respectively. Kaplan-Meier analysis showed that cardiovascular mortality and all-cause mortality were significantly lower in the LD-ANP group than in the NO-ANP and VLD-ANP groups (P < 0.001 and P = 0.002, respectively). Multivariable Cox regression analysis for cardiovascular and all-cause mortality revealed that LD-ANP was significantly associated with lower cardiovascular and all-cause mortality within 1 year after admission, even after adjusting other covariates (hazard ratio: 0.696 and 0.791, 95% confidence interval: 0.513-0.944 and 0.628-0.997, P = 0.020 and 0.047, respectively). CONCLUSIONS: Low-dose carperitide was significantly associated with lower cardiovascular and all-cause mortality within 1 year after admission. Our results suggest the necessity for well-designed randomized controlled trials to determine the doses of carperitide that could improve clinical outcomes in patients with AHF.

Usefulness of Incorporating Hypochloremia into the Get With The Guidelines-Heart Failure Risk Model in Patients With Acute Heart Failure.

Although hypochloremia is strongly associated with adverse prognosis in acute heart failure (AHF), it is unknown whether incorporating hypochloremia into the preexisting risk model improves the model performance. We calculated the Get With The Guidelines-Heart Failure (GWTG-HF) risk score in 1,428 patients with AHF (derivation cohort) and developed 2 risk scores incorporating brain natriuretic peptide (BNP) into the GWTG-HF risk score (GWTG-BNP risk score) and incorporating both BNP and hypochloremia (GWTG-BNP-Cl risk score). Hypochloremia was defined as <98 mmol/L. The external validation and comparison of model performance were performed in an independent group of 1,256 patients with AHF (validation cohort). All models were tested for in-hospital mortality. Hypochloremia was observed in 9.4% and 12.2% of the derivation and validation cohorts, respectively. Hypochloremia was an independent predictor of in-hospital mortality in the derivation cohort (odds ratio 2.02; p = 0.028). In the validation cohort, the GWTG-HF, GWTG-BNP, and GWTG-BNP-Cl risk scores demonstrated good discrimination (area under the curve: 0.742, 0.749, and 0.763, respectively). However, the GWTG-BNP-Cl risk score was more reliable than the GWTG-HF and GWTG-BNP risk scores in risk reclassification (net reclassification improvement: 0.491 and 0.408, respectively; p <0.01 for both). Moreover, this score demonstrated a good calibration of the GWTG-BNP-Cl model (Hosmer-Lemeshow test: p = 0.479). In conclusion, incorporating hypochloremia into the preexisting risk model improves the model performance.

Prevalence of mitral annular calcification and its association with mitral valvular disease.

BACKGROUND: Mitral annular calcification (MAC) is increasingly observed in elderly population. The purpose of this study was to investigate incidence of MAC and its association with mitral valvular disease (MVD). METHODS: A total of 13,483 consecutive patients who underwent echocardiography were enrolled. MAC was defined as an echo-dense, shelf-like structure with an irregular, lumpy appearance involving the mitral valve annulus, with acoustic shadowing. Prevalence of MAC and its association with significant mitral stenosis (MS) or mitral regurgitation (MR) were studied. Significant (≥moderate) MS was defined as mean transmitral valvular pressure gradient > 5 mm Hg and significant MR was defined as ≥moderate MR based on quantitative or semi-quantitative Doppler methods. RESULTS: MAC was present in 1881 of 13,483 patients (14%). Patients with MAC (MAC group) was older and more female gender than those without MAC (non-MAC group). Significant MS was present in 2.2% of MAC and in .6% of the non-MAC group (p < 0.0001). Significant MR was present in 11.9% of MAC and in 5.0% of the non-MAC group (p < 0.0001). Co-existence of MAC and aortic valve replacement (AVR) was associated with increased prevalence of MVD (MS:11.4%, MR:17.2%, respectively). CONCLUSION: MAC was present in 14% of the patients and was associated with significant MVD. Co-existence of MAC and AVR may increase the risk of MVD.

Prognostic Value of Fractional Excretion of Urea Nitrogen at Discharge in Acute Decompensated Heart Failure.

Background Maintaining euvolemia is crucial for improving prognosis in acute decompensated heart failure (ADHF). Although fractional excretion of urea nitrogen (FEUN) is used as a body fluid volume index in patients with acute kidney injury, the clinical impact of FEUN in patients with ADHF remains unclear. This study aimed to investigate whether FEUN can determine the long-term prognosis in patients with ADHF. Methods and Results We retrospectively identified 466 patients with ADHF who had FEUN measured at discharge between April 2011 and December 2018. The primary endpoint was post-discharge all-cause death. Patients were divided into two groups according to a FEUN cut-off value of 35%, commonly used in pre-renal failure. The FEUN <35% (low-FEUN) group included 224 patients (48.1%), and the all-cause mortality rate for the total cohort was 37.1%. The log-rank test revealed that the low-FEUN group had a significantly higher rate of all-cause death compared to the FEUN equal to or greater than 35% (high-FEUN) group (P<0.001). Multivariate Cox proportional hazards model analysis revealed that low-FEUN was associated with post-discharge all-cause death, independently of other heart failure risk factors (hazard ratio, 1.467; 95% CI, 1.030-2.088, P=0.033). The risk of low-FEUN compared to high-FEUN in post-discharge all-cause death was consistent across all subgroups; however, the effects tended to be modified by renal function (threshold: 60 mL/min/1.73 m2, interaction P=0.069). Conclusions Our study suggests that FEUN may be a novel surrogate marker of volume status in patients with ADHF requiring diuretics.

Impact of Atrial Fibrillation on the Prognosis of Acute Decompensated Heart Failure With and Without Mitral Regurgitation.

Background: Atrial fibrillation (AF) and mitral regurgitation (MR) are frequently combined in patients with heart failure (HF). However, the effect of AF on the prognosis of patients with HF and MR remains unknown. Methods and Results: We studied 867 patients (mean age 73 years; 42.7% female) with acute decompensated HF (ADHF) in the NARA-HF registry. Patients were divided into 4 groups based on the presence or absence of AF and MR at discharge. Patients with severe MR were excluded. The primary endpoint was the composite of cardiovascular (CV) death and HF-related readmission. During the median follow-up of 621 days, 398 patients (45.9%) reached the primary endpoint. In patients with MR, AF was associated with a higher incidence of the primary endpoint regardless of left ventricular function; however, in patients without MR, AF was not associated with CV events. Cox multivariate analyses showed that the incidence of CV events was significantly higher in patients with AF and MR than in patients with MR but without AF (hazard ratio 1.381, P=0.036). Similar findings were obtained in subgroup analysis of patients with AF and only mild MR. Conclusions: The present study demonstrated that AF is associated with poor prognosis in patients with ADHF with mild to moderate MR, but not in those without MR.

Serum iron: a new predictor of adverse outcomes independently from serum hemoglobin levels in patients with acute decompensated heart failure.

Iron is an essential trace element in the body. However, in heart failure (HF), iron is only recognized as the cause of anemia. Actually, iron itself affects myocardial exercise tolerance and cardiac function via mitochondrial function. Therefore, it is necessary to clarify the pathological significance of iron in acute HF, irrespective of concomitant anemia. We investigated the impact of serum iron level at discharge on the prognosis of 615 patients emergently admitted with acute decompensated HF (ADHF). Patients were divided into two groups according to the median level of serum iron (62 µg/dL). The endpoint was the composite outcome, which included all-cause mortality and readmission for HF. During the mean follow-up period of 32.1 months, there were 333 events. Kaplan-Meier analysis showed that the incidence of the composite outcome was significantly higher in the Low iron group (P < 0.0001). In the multivariate analysis adjusted with factors including hemoglobin and ferritin levels, low serum iron was an independent predictor for the composite outcome (hazard ratio, 1.500; 95% confidence interval, 1.128-1.976; P = 0.0044). Low serum iron was an independent predictor of poor prognosis in ADHF, irrespective of hemoglobin or ferritin level, providing a new concept that iron may play a role in the pathophysiology of ADHF via non-hematopoietic roles.

Low Insulin Is an Independent Predictor of All-Cause and Cardiovascular Death in Acute Decompensated Heart Failure Patients Without Diabetes Mellitus.

Background Insulin beneficially affects myocardial functions during myocardial ischemia. It increases glucose-derived ATP production, decreases oxygen consumption, suppresses apoptosis of cardiomyocytes, and promotes the survival of cardiomyocytes. Patients with chronic heart failure generally have high insulin resistance, which is correlated with poor outcomes. The role of insulin in acute decompensated heart failure (ADHF) remains unclear. This study aimed to investigate the prognostic value of serum insulin level at the time of admission for long-term outcomes in patients with ADHF. Methods and Results We enrolled 1074 consecutive patients who were admitted to our department for ADHF. Of these 1074 patients, we studied the impact of insulin on the prognosis of ADHF in 241 patients without diabetes mellitus. The patients were divided into groups according to low, intermediate, and high tertiles of serum insulin levels. Primary end points were all-cause death and cardiovascular death. During a mean follow-up of 21.8 months, 71 all-cause deaths and 38 cardiovascular deaths occurred. Kaplan-Meier analysis showed that all-cause and cardiovascular mortality was significantly higher in the low-insulin group than those in the intermediate- and high-insulin groups (log-rank P=0.0046 and P=0.038, respectively). Moreover, according to the multivariable analysis, low serum insulin was an independent predictor of all-cause and cardiovascular mortality (hazard ratio, 2.37 [95% CI, 1.24-4.65; P=0.009] and 2.94 [95% CI, 1.12-8.19; P=0.028], respectively). Conclusions Low serum insulin levels were associated with increased risk of all-cause and cardiovascular death in ADHF patients without diabetes mellitus.

"Hidden" takotsubo cardiomyopathy in cardiac care unit.

BACKGROUND: Takotsubo cardiomyopathy (TC) is characterized as a transient segmental cardiac dysfunction mimicking acute coronary syndrome triggered by emotional or physical stress. Although neurological disorders, infection, malignant diseases, trauma and surgery are known triggers for the development of TC, role of cardiac diseases as underlying conditions for the development of TC is uncertain. The aim of this study was to investigate incidence and clinical characteristics of TC among critically ill cardiac disease patients and to verify that TC may coexist with other cardiac diseases. METHODS: Between November, 2015 and September, 2017, 862 echocardiographic examinations were recorded from 413 patients who were admitted to the CCU. All echo images, electrocardiograms as well as medical records were reviewed. TC was diagnosed according to the modified Mayo criteria. RESULTS: Takotsubo cardiomyopathy was diagnosed in 29 of 413 patients (7%). TC was a primary diagnosis in 18 patients (group P) and the other 11 patients (group S) were not diagnosed as TC during the CCU stay. Primary diagnosis of these patients was acute myocardial infarction (n = 5), acute decompensated heart failure (two aortic stenosis, one cardiac amyloidosis, and two tachycardia induced cardiomyopathy), and ventricular tachycardia (n = 1). CONCLUSION: Takotsubo cardiomyopathy may develop in critically ill cardiac diseases but are often underdiagnosed. Careful echocardiographic examination is needed to unveil these "hidden" TC.

Incidence and Clinical Significance of 30-Day and 90-Day Rehospitalization for Heart Failure Among Patients With Acute Decompensated Heart Failure in Japan　- From the NARA-HF Study.

BACKGROUND: Countermeasure development for early rehospitalization for heart failure (re-HHF) is an urgent and important issue in Western countries and Japan.Methods and Results:Of 1,074 consecutive NARA-HF study participants with acute decompensated HF admitted to hospital as an emergency between January 2007 and December 2016, we excluded 291 without follow-up data, who died in hospital, or who had previous HF-related hospitalizations, leaving 783 in the analysis. During the median follow-up period of 895 days, 241 patients were re-admitted for HF. The incidence of re-HHF was the highest within the first 30 days of discharge (3.3% [26 patients]) and remained high until 90 days, after which it decreased sharply. Within 90 days of discharge, 63 (8.0%) patients were re-admitted. Kaplan-Meier analysis revealed that patients with 90-day re-HHF had worse prognoses than those without 90-day re-HHF in terms of all-cause death (hazard ratio [HR] 2.321, 95% confidence interval [CI] 1.654-3.174; P<0.001) and cardiovascular death (HR 3.396, 95% CI 2.153-5.145; P<0.001). Multivariate analysis indicated that only male sex was an independent predictor of 90-day re-HHF. CONCLUSIONS: The incidence of early re-HHF was lower in Japan than in Western countries. Its predictors are not related to the clinical factors of HF, indicating that a new comprehensive approach might be needed to prevent early re-HHF.

Predictors and prognostic impact of secondary mitral regurgitation in myocardial infarction with preserved ejection fraction.

BACKGROUND: Secondary or functional mitral regurgitation (FMR) has been reported associated with poor prognosis in patients with ischemic or non-ischemic cardiomyopathy. Prognostic impact of the FMR in myocardial infarction with preserved ejection fraction (MIpEF) is unknown. The aim of this study was to investigate predictors and prognostic impact of FMR in MIpEF. METHODS: A total of 556 patients with MIpEF were selected from the Bell Land General Hospital MI (BELAMI) registry (n = 953). Patients were grouped according to the presence or absence of severe FMR. Clinical endpoint was all-cause death. RESULTS: Severe FMR was present in 26 patients (4.7%) (FMR group) and absent in 530 patients (control). FMR group was older (77.5 ± 7.2 vs. 67.3 ± 11.3 years, P < 0.01) and had more female gender (54% vs. 28%, P < 0.01). By echocardiography, FMR group had larger left atrial diameter and left ventricular end-systolic volume. E and E/e' were significantly higher and deceleration time of E was significantly shorter in FMR group. By Kaplan-Meier analysis, survival was significantly lower in FMR group than in control (log-rank, P = 0.004). CONCLUSION: Severe FMR is rare in MI patients with preserved EF but is associated with poor long-term prognosis.