A systematic approach for transcatheter mitral valve edge-to-edge repair of isolated commissure prolapse.

Although transcatheter mitral valve edge-to-edge repair (TEER) has been widely used for non-central degenerative mitral regurgitation (MR), few reports have described therapeutic strategies for commissure prolapse. Furthermore, no standard approach for TEER for commissure has established. Thus, we categorized various grasping strategies into three patterns, and proposed a promising systematic strategy to observe three possible grasping patterns for identifying appropriate grasping target. Here, we report a successful TEER case of isolated posterior commissure prolapse in which we used a systematic approach.

A Case of Cardiac Undifferentiated Pleomorphic Sarcoma With Right Ventricular Outflow Tract Obstruction.

Malignant tumors originating from the heart are extremely rare. Here, we report a case of severe right ventricular outflow tract (RVOT) stenosis in a 67 year-old woman caused by a massive intimal sarcoma that required venous-arterial extracorporeal membrane oxygenation to support systemic circulation. Surgical resection and RVOT reconstruction with tricuspid and pulmonary valve replacement were performed. The pathological diagnosis was cardiac undifferentiated pleomorphic sarcoma. Although the patient was discharged 65 days after surgery in good condition, she subsequently died from multiple metastases detected in the early phase after surgery.

Impact of Structural Abnormalities in Left Ventricle and Left Atrium on Clinical Outcomes in Heart Failure with Preserved Ejection Fraction.

Two key echocardiographic parameters, left ventricular mass index (LVMI) and left atrial volume index (LAVI), are important in assessing structural myocardial changes in heart failure (HF) with preserved ejection fraction (HFpEF). However, the differences in clinical characteristics and outcomes among groups classified by LVMI and LAVI values are unclear.We examined the data of 960 patients with HFpEF hospitalized due to acute decompensated HF from the PURSUIT-HFpEF registry, a prospective, multicenter observational study. Four groups were classified according to the cut-off values of LVMI and LAVI [LVMI = 95 g/m2 (female), 115 g/m2 (male) and LAVI = 34 mL/m2]. Clinical endpoints were the composite of HF readmission and all-cause death. Study endpoints among the 4 groups were evaluated. The composite endpoint occurred in 364 patients (37.9%). Median follow-up duration was 445 days. Kaplan-Meier analysis revealed significant differences in the composite endpoint among the 4 groups (P < 0.001). Cox proportional hazards analysis demonstrated that patients with increased LAVI alone were at significantly higher risk of HF readmission and the composite endpoints than those with increased LVMI alone (P = 0.030 and P = 0.024, respectively). Age, male gender, systolic blood pressure at discharge, atrial fibrillation (AF) hemoglobin, renal function, and LAVI were significant determinants of LVMI and female gender, AF, hemoglobin, and LVMI were significant determinants of LAVI.In HFpEF patients, increased LAVI alone was more strongly associated with HF readmission and the composite of HF readmission and all-cause death than those with increased LVMI alone.

Usefulness of the 2-year iodine-123 metaiodobenzylguanidine-based risk model for post-discharge risk stratification of patients with acute decompensated heart failure.

PURPOSE: A four-parameter risk model that included cardiac iodine-123 metaiodobenzylguanidine (MIBG) imaging and readily available clinical parameters was recently developed for prediction of 2-year cardiac mortality risk in patients with chronic heart failure. We sought to validate the ability of this risk model to predict post-discharge clinical outcomes in patients with acute decompensated heart failure (ADHF) and to compare its prognostic value with that of the Acute Decompensated Heart Failure National Registry (ADHERE) and Get With The Guidelines-Heart Failure (GWTG-HF) risk scores. METHODS: We studied 407 consecutive patients who were admitted for ADHF and survived to discharge, with definitive 2-year outcomes (death or survival). Cardiac MIBG imaging was performed just before discharge. The 2-year cardiac mortality risk was calculated using four parameters, namely age, left ventricular ejection fraction, New York Heart Association functional class, and cardiac MIBG heart-to-mediastinum ratio on delayed images. Patients were stratified into three groups based on the 2-year cardiac mortality risk: low- (< 4%), intermediate- (4-12%), and high-risk (> 12%) groups. The ADHERE and GWTG-HF risk scores were also calculated. RESULTS: There was a significant difference in the incidence of cardiac death among the three groups stratified using the 2-year cardiac mortality risk model (p < 0.0001). The 2-year cardiac mortality risk model had a higher C-statistic (0.732) for the prediction of cardiac mortality than the ADHERE and GWTG-HF risk scores. CONCLUSION: The 2-year MIBG-based cardiac mortality risk model is useful for predicting post-discharge clinical outcomes in patients with ADHF. TRIAL REGISTRATION NUMBER: UMIN000015246, 25 September 2014.

Prediction of sudden cardiac death in chronic heart failure patients with reduced ejection fraction by ADMIRE-HF risk score and early repolarization pattern.

BACKGROUND: AdreView myocardial imaging for risk evaluation in heart failure (ADMIRE-HF) risk score is a novel risk score to predict serious arrhythmic risk in chronic heart failure patients with reduced ejection fraction (HFrEF). Moreover, early repolarization pattern (ERP) has been shown to be associated with an increased risk of sudden cardiac death (SCD) in HFrEF patients. We sought to investigate the prognostic value of combining ADMIRE-HF risk score and ERP to predict SCD in HFrEF patients. METHODS: We studied 90 HFrEF outpatients with LVEF< 40% in our prospective cohort study. In cardiac MIBG imaging, the heart-to-mediastinum (H/M) ratio was measured on the delayed planar image. ADMIRE-HF risk score was derived from the sum of the point values of LVEF, H/M ratio, and systolic blood pressure. We also assessed ERP on the standard electrocardiogram. RESULTS: During a median follow-up of 7.5(4.5-12.0) years, 22 patients had SCD. At multivariate Cox analysis, ADMIRE-HF risk score and ERP were independently associated with SCD. Patients with both intermediate/high ADMIRE-HF score and ERP had a higher SCD risk than those with either and none of them. CONCLUSION: The combination of ADMIRE-HF risk score and ERP would provide the incremental prognostic information for predicting SCD in HFrEF patients.

Prediction of sudden cardiac death in patients with chronic heart failure by regional washout rate in cardiac MIBG SPECT imaging.

BACKGROUND: The sympathetic nervous system provides an important trigger for major arrhythmic events through regional heterogeneity of sympathetic activity, which could be evaluated by SPECT imaging as the regional MIBG washout rate (WR). There is little information available on the prognostic value of regional WR in SPECT imaging for the prediction of sudden cardiac death (SCD) in patients with chronic heart failure (CHF). METHODS: We studied 73 CHF outpatients with LVEF < 40%. At study entry, the regional WR was measured in 17 segments on the polar map. We defined abnormal regional WR as both the regional WR range (maximum - minimum regional WR) and maximum regional WR > mean value + 2SD obtained in 15 normal controls. RESULTS: During a mean follow-up of 7.5 ± 4.1 years, 15 of 73 patients had SCD. The abnormal regional WR and abnormal global WR on planar images were significantly and independently associated with SCD. Patients with both the abnormal regional WR and global WR had a significantly higher risk of SCD than those with none of these criteria. CONCLUSIONS: The analysis of regional MIBG WR on SPECT imaging provides additional prognostic value to global WR on planar images for SCD prediction in CHF patients.

Serial Change in Serum Chloride During Hospitalization Could Predict Heart Failure Death in Acute Decompensated Heart Failure Patients.

BACKGROUND: Although hyponatremia predicts morbidity and mortality in acute decompensated heart failure (ADHF), hypochloremia is also independently associated with poor prognosis in ADHF. Little is known, however, about the prognostic value of serial change in serum chloride during hospitalization in ADHF patients.Methods and Results:We prospectively studied 208 ADHF survivors after discharge and divided them into 4 groups according to serum chloride on admission and at discharge: (1) persistent hypochloremia group (n=12), hypochloremia both on admission and at discharge; (2) progressive hypochloremia group (n=42), development of hypochloremia after admission; (3) improved hypochloremia group (n=14), hypochloremia only on admission; and (4) no hypochloremia group, no hypochloremia during hospitalization (n=140). During a mean follow-up period of 1.86±0.76 years, 20 of 208 patients had heart failure death (HFD). In a model adjusted for hyponatremia, hypochloremia both on admission and at discharge was still significantly associated with HFD. Hyponatremia, however, was not significantly associated with HFD after adjustment for hypochloremia. Patients with persistent hypochloremia (HR, 9.13; 95% CI: 2.56-32.55) and with progressive hypochloremia (HR, 4.65; 95% CI: 1.61-13.4) had a significantly greater risk of HFD than those without hypochloremia during hospitalization. CONCLUSIONS: Both persistent hypochloremia and progressive hypochloremia during hospitalization are associated with HFD in ADHF patients.

Tolvaptan Reduces the Risk of Worsening Renal Function in Patients With Acute Decompensated Heart Failure and Preserved Left Ventricular Ejection Fraction　- Prospective Randomized Controlled Study.

BACKGROUND: Although the mainstay of treatment for acute decompensated heart failure (ADHF) is decongestion by diuretic therapy, it is often associated with worsening renal function (WRF). The effect of tolvaptan, a selective V2 receptor antagonist, on WRF in ADHF patients with preserved left ventricular ejection fraction (LVEF) is unknown.Methods and Results:We enrolled 50 consecutive ADHF patients whose LVEF on admission was ≥45%. Patients were randomly assigned to either tolvaptan add-on (n=26) or conventional diuretic therapy (n=24). The primary endpoint was the incidence of WRF, defined as an increase in serum creatinine (Cr) ≥0.3 mg/dL or 50% above baseline within 48 h of randomization. There was no significant difference between the 2 groups in the change in body weight or the total urine volume during 48 h. However, the change in Cr (∆Cr) at 24 and 48 h after randomization and the incidence of WRF (12% vs. 42%, P=0.0236) were significantly lower, and the fractional excretion of urea (FEUN) at 24 and 48 h after randomization was significantly higher in the tolvaptan group. There was an inverse correlation between ∆Cr and FEUN at 48 h after randomization. CONCLUSIONS: Tolvaptan can alleviate congestion with a significantly lower risk of WRF in ADHF patients with preserved LVEF, presumably through maintenance of renal perfusion.

The CHADS2 score predicts ischemic stroke in chronic heart failure patients without atrial fibrillation: comparison to other stroke risk scores.

The CHADS2 score is useful in stratifying the risk of ischemic stroke or transient ischemic attack (TIA) in patients with non-valvular atrial fibrillation (AF). However, it remains unclear whether the CHADS2 score could predict stroke or TIA in chronic heart failure (CHF) patients without AF. Recently, the new stroke risk score was proposed from 2 contemporary heart failure trials. We evaluated the prognostic power of the CHADS2 score for stroke or TIA in CHF patients without AF in comparison to the "stroke risk score". We retrospectively studied 127 CHF patients [left ventricular ejection fraction (LVEF) <40 %] without AF, who had been enrolled in our previous prospective cohort study. The primary endpoint was the incidence of stroke or TIA. The mean baseline CHADS2 score was 2.1 ± 1.0. During the follow-up period of 8.4 ± 5.1 years, stroke or TIA occurred in 21 of 127 patients. At multivariate Cox analysis, CHADS2 score (C-index 0.794), but not "stroke risk score" (C-index 0.625), was significantly and independently associated with stroke or TIA. The incidence of stroke or TIA appeared to increase in relation to the CHADS2 score [low (=1), 0 per 100 person-years; intermediate (=2), 1.6 per 100 person-years; high (≥3), 4.7 per 100 person-years; p = 0.04]. CHADS2 score could stratify the risk of ischemic stroke in CHF patients with the absence of AF, with greater prognostic power than the "stroke risk score".

Verification of haemoglobin level to prevent worsening of prognosis in heart failure with preserved ejection fraction patients from the PURSUIT-HFpEF registry.

AIMS: Anaemia has been reported as poor predictor in heart failure with preserved ejection fraction (HFpEF). The aim of this study was to evaluate the impact of changes in haemoglobin (Hb) from discharge to 1 year after discharge on the prognosis using a lower cut-off value of Hb than the World Health Organization (WHO) criteria. METHODS AND RESULTS: First, 547 HFpEF cases were divided into two groups, Hb < 11.0 g/dL (n = 218) and Hb ≥ 11.0 g/dL (n = 329), according to Hb at discharge, and further were divided according to Hb 1 year after discharge into Hb < 11.0 g/dL (G1, n = 113), Hb ≥ 11.0 g/dL (G2, n = 105), Hb < 11.0 g/dL (G3, n = 66), and Hb ≥ 11.0 g/dL (G4, n = 263), respectively. Major adverse cardiovascular events (MACE) was defined as composite of all-cause death and heart failure readmission after a visit 1 year after discharge. The cut-off value of Hb was analysed by the receiver operating characteristics curve that predicts MACE. We examined the incidence rate of MACE between G4 and other subgroups and verified predictors of improving or worsening anaemia and covarying factors with change in Hb. In multivariate Cox proportional hazard model, MACE was significantly higher in G3 with worsening anaemia from Hb ≥ 11.0 g/dL to <11.0 g/dL than G4 with persistently Hb ≥ 11 g/dL (adjusted hazard ratio (HR): 3.14 [95% confidence interval (CI), 1.76-5.60], P < 0.001). MACE was not significantly different between G2 with improving anaemia from Hb < 11.0 g/dL to ≥ 11.0 g/dL and G4 (adjusted HR: 1.37 [95% CI, 0.68-2.75], P = 0.38). In multivariate logistic regression analysis, independent predictors of improving anaemia were male [odds ratio (OR): 0.45], chronic obstructive pulmonary disease (OR: 10.3), prior heart failure hospitalization (OR: 0.38), and estimated glomerular filtration rate (OR: 1.04). Independent predictors of worsening anaemia were age (OR: 1.07), body mass index (BMI) (OR: 0.86), clinical frailty scale score (OR: 1.29), Hb at discharge (OR: 0.63), and use of angiotensin-converting-enzyme inhibitor or angiotensin II receptor blocker (OR: 2.76). In multivariate linear regression analysis, covarying factors with change in Hb were BMI (ß = -0.098), serum albumin (ß = 0.411), and total cholesterol (ß = 0.179). CONCLUSIONS: Change in haemoglobin after discharge using a lower cut-off value than WHO criteria has prognostic impact in patients with HFpEF.

The Prognostic Impact of Follow-up Cardiac MIBG Imaging on LV trajectory After Acute Decompensation.

AIMS: Cardiac metaiodobenzylguanidine (MIBG) imaging provides prognostic information in patients with heart failure. Recently, the trajectory of left ventricular ejection fraction (LVEF) has been a focus in patients with reduced LVEF admitted for acute decompensated heart failure (ADHF). We sought to investigate the prognostic value of follow-up cardiac MIBG imaging in ADHF patients with reduced LVEF in relation to LVEF trajectory. METHODS AND RESULTS: We prospectively studied 145 ADHF patients with reduced LVEF<40%. The cardiac MIBG heart-to-mediastinum ratio (late HMR) was measured on the delayed image at discharge and at the 6-month follow-up (6FUP). At 6 months after discharge, 54 (37%) patients had complete recovery of LVEF≥50% (HFcorEF), and 43 (30%) patients had partial recovery of LVEF: 40%-50% (HFparEF), while the remaining 48 (33%) patients had no functional recovery of LVEF (HFnorEF). The late HMR at 6 FUP in HFcorEF patients was significantly greater than that in HFparEF and HFnorEF patients. During a follow-up period of 4.3 ± 2.6 years, 43 patients had cardiac events, defined as the composite of readmission for worsening HF and cardiac death. Patients with lower late HMR at 6 FUP had a greater risk of cardiac events than those with higher late HMR at 6 FUP in the group with recovered LVEF, especially HFparEF, which was not observed in the HFnorEF subgroup. CONCLUSION: Follow-up MIBG imaging after discharge could provide additional prognostic information in ADHF patients with recovered left ventricular function.

A Rare Case of a Common Inferior Pulmonary Vein Presumed to Be a Remnant of the Common Pulmonary Vein.

A 74-year-old woman with an implanted physiological DDD pacemaker visited our department complaining of palpitations due to atrial fibrillation (AF). Catheter ablation therapy for AF was scheduled. Preoperative multidetector computed tomography showed that the inferior pulmonary vein (PV) was a common trunk, and the left and right superior PVs branched from the center of the left atrial roof. In addition, mapping of the left atrium before AF ablation revealed no potential in either the inferior PV or common trunk. We performed left and right superior PV and posterior wall isolation. After ablation, AF was not observed on pacemaker recordings.

Relationship of interleukin-16 with different phenogroups in acute heart failure with preserved ejection fraction.

AIMS: Interleukin-16 (IL-16) has been reported to mediate left ventricular myocardial fibrosis and stiffening in patients with heart failure with preserved ejection fraction (HFpEF). We sought to elucidate whether IL-16 has a distinct impact on pathophysiology and prognosis across different subphenotypes of acute HFpEF. METHODS AND RESULTS: We analysed 211 patients enrolled in a prospective multicentre registry of acute decompensated HFpEF for whom serum IL-16 levels after stabilization were available (53% female, median age 81 [interquartile range 75-85] years). We divided this sub-cohort into four phenogroups using our established clustering algorithm. The study endpoint was all-cause death. Patients were subclassified into phenogroup 1 ('rhythm trouble' [n = 69]), phenogroup 2 ('ventricular-arterial uncoupling' [n = 49]), phenogroup 3 ('low output and systemic congestion' [n = 41]), and phenogroup 4 ('systemic failure' [n = 52]). After a median follow-up of 640 days, 38 patients had died. Among the four phenogroups, phenogroup 2 had the highest IL-16 level. The IL-16 level showed significant associations with indices of cardiac hypertrophy, diastolic dysfunction, and congestion only in phenogroup 2. Furthermore, the IL-16 level had a significant predictive value for all-cause death only in phenogroup 2 (C-statistic 0.750, 95% confidence interval 0.606-0.863, P = 0.017), while there was no association between the IL-16 level and the endpoint in the other phenogroups. CONCLUSIONS: Our results indicated that the serum IL-16 level had a significant association with indices that reflect the pathophysiology and prognosis of HFpEF in a specific phenogroup in acute HFpEF.

The WATCH-DM risk score estimates clinical outcomes in type 2 diabetic patients with heart failure with preserved ejection fraction.

The coexistence of heart failure is frequent and associated with higher mortality in patients with type 2 diabetes (T2DM), and its management is a critical issue. The WATCH-DM risk score is a tool to predict heart failure in patients with type 2 diabetes mellitus (T2DM). We investigated whether it could estimate outcomes in T2DM patients with heart failure with preserved ejection fraction (HFpEF). The WATCH-DM risk score was calculated in 418 patients with T2DM hospitalized for HFpEF (male 49.5%, age 80 ± 9 years, HbA1c 6.8 ± 1.0%), and they were divided into the "average or lower" (≤ 10 points), "high" (11-13 points) and "very high" (≥ 14 points) risk groups. We followed patients to observe all-cause death for 386 days (median). We compared the area under the curve (AUC) of the WATCH-DM score for predicting 1-year mortality with that of the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and of the Barcelona Bio-Heart Failure Risk (BCN Bio-HF). Among the study patients, 108 patients (25.8%) had average or lower risk scores, 147 patients (35.2%) had high risk scores, and 163 patients (39.0%) had very high risk scores. The Cox proportional hazard model selected the WATCH-DM score as an independent predictor of all-cause death (HR per unit 1.10, 95% CI 1.03 to 1.19), and the "average or lower" risk group had lower mortality than the other groups (p = 0.047 by log-rank test). The AUC of the WATCH-DM for 1-year mortality was 0.64 (95% CI 0.45 to 0.74), which was not different from that of the MAGGIC score (0.72, 95% CI 0.63 to 0.80, p = 0.08) or that of BCN Bio-HF (0.70, 0.61 to 0.80, p = 0.25). The WATCH-DM risk score can estimate prognosis in T2DM patients with HFpEF and can identify patients at higher risk of mortality.

Pathophysiological insights into machine learning-based subphenotypes of acute heart failure with preserved ejection fraction.

OBJECTIVE: The heterogeneous pathophysiology of the diverse heart failure with preserved ejection fraction (HFpEF) phenotypes needs to be examined. We aim to assess differences in the biomarkers among the phenotypes of HFpEF and investigate its multifactorial pathophysiology. METHODS: This study is a retrospective analysis of the PURSUIT-HFpEF Study (N=1231), an ongoing, prospective, multicentre observational study of acute decompensated HFpEF. In this registry, there is a predefined subcohort in which we perform multibiomarker tests (N=212). We applied the previously established machine learning-based clustering model to the subcohort with biomarker measurements to classify them into four phenotypes: phenotype 1 (n=69), phenotype 2 (n=49), phenotype 3 (n=41) and phenotype 4 (n=53). Biomarker characteristics in each phenotype were evaluated. RESULTS: Phenotype 1 presented the lowest value of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitive C reactive protein, tumour necrosis factor-α, growth differentiation factor (GDF)-15, troponin T and cystatin C, whereas phenotype 2, which is characterised by hypertension and cardiac hypertrophy, showed the highest value of these markers. Phenotype 3 showed the second highest value of GDF-15 and cystatin C. Phenotype 4 presented a low NT-proBNP value and a relatively high GDF-15. CONCLUSIONS: Distinctive characteristics of biomarkers in HFpEF phenotypes would indicate differential underlying mechanisms to be elucidated. The contribution of inflammation to the pathogenesis varied considerably among different HFpEF phenotypes. Systemic inflammation substantially contributes to the pathophysiology of the classic HFpEF phenotype with cardiac hypertrophy. TRIAL REGISTRATION NUMBER: UMIN-CTR ID: UMIN000021831.

The clinical relevance of mild cognitive impairment in acute heart failure: A comparison with cognitive impairment.

BACKGROUND: Although mild cognitive impairment (MCI) has received much attention as a precursor of dementia, its prognostic role has not been fully clarified in patients with heart failure (HF). METHODS AND RESULTS: We studied 274 patients admitted for acute decompensated HF. Cognitive function was evaluated using Mini Mental State Examination (MMSE). According to the previous definition, MMSE of 0-23, 24-27, and 28-30 were classified as CI (n = 132), MCI (n = 81), and normal cognitive function (n = 61). The primary endpoint was cardiac events, defined as the composite of unplanned HF hospitalization and cardiovascular mortality. During a mean follow-up period of 4.9 ±â€¯3.1 years, 145 patients experienced cardiac events. Multivariable logistic regression analysis showed that hypertension (p = 0.043), low cardiac index (p = 0.022), and low serum albumin level (p = 0.041) had a significant association with cognitive abnormalities. Both CI and MCI were significantly associated with cardiac events after Cox multivariable adjustment [CI: p = 0.001, adjusted HR 2.66 (1.48-4.77); MCI: p = 0.025, adjusted HR 1.90 (1.09-3.31), normal cognitive function group: reference]. Patients with MCI had a significantly higher risk of unplanned HF hospitalization [p = 0.033, adjusted HR 1.91 (1.05-3.47)], but not all-cause mortality (p = 0.533) or cardiovascular mortality (p = 0.920), while CI was significantly associated with all-cause mortality (p = 0.025) and cardiovascular mortality (p = 0.036). CONCLUSION: Even MCI had a significant risk of cardiac events in patients with acute decompensated HF. This risk was mainly derived from unplanned HF hospitalization.

Low-density lipoprotein cholesterol, erythrocyte, and platelet in heart failure with preserved ejection fraction.

AIMS: Low-density lipoprotein cholesterol (LDL-C), anaemia and low platelets have been associated with worse clinical outcomes in heart failure patients. We investigated the relationship between the combination of these three components and clinical outcome in patients with heart failure with preserved ejection fraction (HFpEF). METHODS AND RESULTS: We examined the data of 1021 patients with HFpEF hospitalized with acute decompensated heart failure (HF) from the PURSUIT-HFpEF registry, a prospective, multicenter observational study. The enrolled patients were classified into four groups by an LEP (LDL-C, Erythrocyte, and Platelet) score of 0 to 3 points, with 1 point each for LDL-C, erythrocyte and platelet values less than the cut-off values as calculated by receiver operating characteristic curve analysis. The endpoint, a composite of all-cause death and HF readmission, was evaluated among the four groups. Median follow-up duration was 579 [300, 978] days. Risk of the composite endpoint significantly differed among the four groups (P < 0.001). Kaplan-Meier analysis showed that the groups with an LEP score of 2 had higher risk of the composite endpoint than those with an LEP score of 0 or 1 (P < 0.001, and P = 0.013, respectively), while those with an LEP score of 3 had higher risk than those with an LEP score of 0, 1 or 2 (P < 0.001, P < 0.001 and P = 0.020, respectively). Cox proportional hazards analysis showed that an LEP score of 3 was significantly associated with the composite endpoint (P = 0.030). Kaplan-Meier analysis showed that risk of the composite of all-cause death and HF readmission was significantly higher in low LDL values (less than the cut-off values as calculated by receiver operating characteristic curve analysis) patients with statin use than in those without statin use (log rank P = 0.002). CONCLUSIONS: LEP score, which comprehensively reflects extra-cardiac co-morbidities, is significantly associated with clinical outcomes in HFpEF patients.

The clinical relevance of quality of life in heart failure patients with preserved ejection fraction.

AIMS: Patient reported outcomes (PROs) are gradually being incorporated into daily practice to assess individual health-related quality of life (QOL). However, despite accumulating evidence of the prognostic utility of heart failure (HF)-specific QOL indices, evidence on the generic QOL score is scarce, especially in patients with HF with preserved ejection fraction (HFpEF). METHODS AND RESULTS: Patient data were extracted from the Prospective mUlticenteR obServational stUdy of patIenTs with Heart Failure with Preserved Ejection Fraction (PURSUIT HFpEF) study. EuroQol 5 dimensions 5-level (EQ-5D-5L) data were obtained at discharge to evaluate patients' health-related QOL. The study population (n = 864) was divided into tertiles based on their EQ-5D-5L index as follows: low EQ-5D-5L 0.038-0.664 (n = 287), middle EQ-5D-5L 0.665-0.867 (n = 293), and high EQ-5D-5L 0.871-1.000 (n = 284). A total of 206 patients died over a mean follow-up period of 2.0 ± 1.2 years. Kaplan-Meier analysis revealed that the risk of mortality increased with the tertile of the EQ-5D-5L index (34% vs. 23% vs. 14%, P < 0.001). Cox multivariable analysis revealed that patients with EQ-5D-5L index in the low and middle tertiles had a significantly greater risk of mortality than those with EQ-5D-5L index in the high tertile [low EQ-5D-5L: adjusted hazard ratio (HR): 1.81 (1.12-2.92), P = 0.002, middle EQ-5D-5L: adjusted HR 1.91 (1.21-3.03), P = 0.006]. Among the dimensions of EQ-5D-5L, mobility (P = 0.014), self-care (P = 0.023) and usual activities (P = 0.008) were significant factors associated with all-cause mortality after multivariable adjustment. CONCLUSIONS: EQ-5D-5L is useful tool for risk stratification in patients with HFpEF.

Combination of Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios as a Novel Predictor of Cardiac Death in Patients With Acute Decompensated Heart Failure With Preserved Left Ventricular Ejection Fraction: A Multicenter Study.

Background Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are novel inflammation markers. Their combined usefulness for estimating the prognosis of patients with heart failure with preserved ejection fraction (HFpEF) admitted for acute decompensated heart failure remains elusive. Methods and Results We investigated 1026 patients registered in the Prospective Multicenter Observational Study of Patients with Heart Failure with Preserved Ejection Fraction. Both NLR and PLR values were measured at the time of admission. Comorbidity burden was defined as the number of occurrences of 8 common comorbidities of HFpEF. The primary end point was cardiac death. The patients were stratified into 3 groups based on the optimal cut-off values of NLR and PLR on the receiver operating characteristic curve analysis for predicting cardiac death (low NLR and PLR, either high NLR or PLR, and both high NLR and PLR). After a median follow-up of 429 days, 195 patients died, with 85 of these deaths attributed to cardiac causes. An increased comorbidity burden was significantly associated with a higher proportion of patients with high NLR (>4.5) or PLR (>193), or both. High NLR and PLR values were independently associated with cardiac death, and a combination of both values was the strongest predictor (hazard ratio, 2.66 [95% CI, 1.51%-4.70%], P=0.0008). A significant difference was found in the rate of cardiac death among the 3 groups stratified by NLR and PLR values. Conclusions The combination of NLR and PLR is useful for the prediction of postdischarge cardiac death in patients with acute HFpEF. Registration URL: ClinicalTrials.gov; Unique identifier: UMIN000021831.

Medications for specific phenotypes of heart failure with preserved ejection fraction classified by a machine learning-based clustering model.

OBJECTIVE: Our previously established machine learning-based clustering model classified heart failure with preserved ejection fraction (HFpEF) into four distinct phenotypes. Given the heterogeneous pathophysiology of HFpEF, specific medications may have favourable effects in specific phenotypes of HFpEF. We aimed to assess effectiveness of medications on clinical outcomes of the four phenotypes using a real-world HFpEF registry dataset. METHODS: This study is a posthoc analysis of the PURSUIT-HFpEF registry, a prospective, multicentre, observational study. We evaluated the clinical effectiveness of the following four types of postdischarge medication in the four different phenotypes: angiotensin-converting enzyme inhibitors (ACEi) or angiotensin-receptor blockers (ARB), beta blockers, mineralocorticoid-receptor antagonists (MRA) and statins. The primary endpoint of this study was a composite of all-cause death and heart failure hospitalisation. RESULTS: Of 1231 patients, 1100 (83 (IQR 77, 87) years, 604 females) were eligible for analysis. Median follow-up duration was 734 (398, 1108) days. The primary endpoint occurred in 528 patients (48.0%). Cox proportional hazard models with inverse-probability-of-treatment weighting showed the following significant effectiveness of medication on the primary endpoint: MRA for phenotype 2 (weighted HR (wHR) 0.40, 95% CI 0.21 to 0.75, p=0.005); ACEi or ARB for phenotype 3 (wHR 0.66 0.48 to 0.92, p=0.014) and statin therapy for phenotype 3 (wHR 0.43 (0.21 to 0.88), p=0.020). No other medications had significant treatment effects in the four phenotypes. CONCLUSIONS: Machine learning-based clustering may have the potential to identify populations in which specific medications may be effective. This study suggests the effectiveness of MRA, ACEi or ARB and statin for specific phenotypes of HFpEF. TRIAL REGISTRATION NUMBER: UMIN000021831.