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The detailed electrophysiological characteristics of atrial fibrillation (AF) initiating non-pulmonary vein (PV) triggers excluding origins from the superior vena cava (SVC) and left atrial posterior wall (LAPW) (Non-PV-SVC-LAPW triggers) remain unclear. This study aimed to clarify the detailed electrophysiological characteristics of non-PV-SVC-LAPW triggers. Among 446 AF ablation procedures at 2 institutions, patients with reproducible AF initiating non-PV-SVC-LAPW triggers were retrospectively enrolled. The trigger origin was mapped using the self-reference mapping technique. The following electrophysiological parameters were evaluated: the voltage during sinus rhythm and at the onset of AF at the earliest activation site, coupling interval of the trigger between the prior sinus rhythm and AF trigger, and voltage change ratio defined as the trigger voltage at the onset of AF divided by the sinus voltage. Detailed electrophysiological data were obtained at 28 triggers in 21 patients. The median trigger voltage at the onset of AF was 0.16mV and median trigger coupling interval 182msec. Normal sinus voltages (≧0.5mV) were observed at 16 triggers and low voltages (<0.5mV) at 12 triggers. The voltage change ratio was significantly lower for the normal sinus voltage than low sinus voltage (0.20 vs. 0.60, p = 0.002). The trigger coupling intervals were comparable between the normal sinus voltage and low sinus voltage (170ms vs. 185ms, p = 0.353). The trigger voltage at the onset of AF was low, regardless of whether the sinus voltage of the trigger was preserved or low.

The role of B-type natriuretic peptide (BNP) levels as a predictor of arrhythmia recurrence (AR) after atrial fibrillation (AF) ablation remains unclear. In this study, we investigated the association of BNP levels before and 3 months after ablation with the risk of AR. A total of 234 patients undergoing their first session of AF ablation were included (68% male, mean age of 69 years). The cut-off value for discriminating AR was determined based on the maximum value of the area under the receiver operating characteristic (ROC) curve. The impact of BNP levels on AR was evaluated using Cox regression analysis. ROC curve analysis showed that the area under the curve for BNP at 3 months after the procedure was larger (0.714) compared to BNP levels before ablation (0.593). Elevated levels of BNP 3 months after the procedure (>40.5 pg/mL, n = 96) was associated with a higher risk of AR compared to those without elevated levels (34.4% vs. 10.9%, p < 0.01). Multivariate Cox regression analysis revealed that elevated BNP levels were associated with an increased risk of AR (hazard ratio 2.43; p = 0.014). Elevated BNP levels 3 months after AF ablation were a significant prognostic factor in AR, while baseline BNP levels were not.

A 42‐year‐old woman without a history of catheter ablation or cardiac surgery was referred to our institution for a paroxysmal atrial tachycardia (AT). Programed stimulation could not induce any AT. The AT spontaneously initiated during a continuous isoproterenol infusion. The earliest activation during the AT was recorded at the cavo‐tricuspid isthmus, and local abnormal atrial activity (LAATA) was recorded during sinus rhythm at that same site. When rapid atrial activity was recorded at the cavo‐tricuspid isthmus where the LAATA was recorded, an AT was induced. Radiofrequency ablation was performed over the entire area where the LAATA was recorded during sinus rhythm, rendering the AT non‐inducible.

ObjectiveOur 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.MethodsThis 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.ResultsOf 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.ConclusionsMachine 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 numberUMIN000021831.

ObjectiveThe 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.MethodsThis 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.ResultsPhenotype 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.ConclusionsDistinctive 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 numberUMIN-CTR ID: UMIN000021831.

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.

BackgroundThe effectiveness of β-blocker in patients with heart failure with preserved ejection fraction (HFpEF) remains to be determined. We aimed to clarify the association between the use of β-blocker and prognosis according to the status of frailty.MethodsWe compared prognosis between HFpEF patients with and without β-blockers stratified with the Clinical Frailty Scale (CFS), using data from the PURSUIT-HFpEF registry (UMIN000021831).ResultsAmong 1159 patients enrolled in the analysis (median age, 81.4 years; male, 44.7%), 580 patients were CFS ≤ 3, while 579 were CFS ≥ 4. Use of β-blockers was associated with a worse composite endpoint of all-cause death and heart failure readmission in patients with CFS ≥ 4 (adjusted hazard ratio (HR) 1.43, 95% CI 1.10–1.85, p = 0.007), but was not significantly associated with this endpoint in those with CFS ≤ 3 (adjusted HR 0.95, 95% CI 0.71–1.26, p = 0.719) in multivariable Cox proportional hazard models. These results were confirmed in a propensity-matched analysis (HR in those with CFS ≥ 4: 1.42, 95% CI 1.05–1.90, p = 0.020; that in those with CFS ≤ 3: 0.83, 95% CI 0.60–1.14, p = 0.249), and in an analysis in which patients were divided into CFS ≤ 4 and CFS ≥ 5.ConclusionsUse of β-blockers was significantly associated with worse prognosis specifically in patients with HFpEF and high CFS, but not in those with low CFS. Use of β-blockers in HFpEF patients with frailty may need careful attention.

BackgroundWe recently reported that nearly half of patients with heart failure with preserved ejection fraction (HFpEF) did not show echocardiographic diastolic dysfunction (DD), but had normal diastolic function (ND) or indeterminate diastolic function (ID). However, the clinical course and outcomes of patients with HFpEF with ND or ID (ND/ID) remain unknown.MethodsFrom the PURSUIT–HFpEF registry, we extracted 289 patients with HFpEF with ND/ID at discharge who had echocardiographic data at 1-year follow-up. Patients were classified according to the status of progression from ND/ID to DD at 1 year. Primary endpoint was a composite of all-cause death or HF rehospitalization.ResultsMedian age was 81 years, and 138 (47.8%) patients were female. At 1 year, 107 (37%) patients had progressed to DD. The composite endpoint occurred in 90 (31.1%) patients. Compared to patients without progression to DD, those with progression had a significantly higher cumulative rate of the composite endpoint (P < 0.001) and HF rehospitalization (P < 0.001) after discharge and at the 1-year landmark (P = 0.030 and P = 0.001, respectively). Progression to DD was independently associated with the composite endpoint (hazard ratio (HR): 2.014, 95%CI 1.239–3.273, P = 0.005) and HF rehospitalization (HR: 2.362, 95%CI 1.402–3.978) after discharge. Age (odds ratio (OR): 1.043, 95%CI 1.004–1.083, P = 0.031), body mass index (BMI) (OR: 1.110, 95%CI 1.031–1.195, P = 0.006), and albumin (OR: 0.452, 95%CI 0.211–0.969, P = 0.041) were independently associated with progression from ND/ID to DD.ConclusionsMore than one-third of HFpEF patients with ND/ID progressed to DD at 1 year and had poor outcomes. Age, BMI and albumin were independently associated with this progression.UMIN-CTR ID: UMIN000021831.

Aims Frailty is associated with prognosis of cardiovascular diseases. However, the significance of frailty in patients with heart failure with preserved ejection fraction (HFpEF) remains to be elucidated. The purpose of this study was to examine the prognostic significance of the Clinical Frailty Scale (CFS) in real‐world patients with HFpEF using data from a prospective multicentre observational study of patients with HFpEF (PURSUIT‐HFpEF study). Method and Results We classified 842 patients with HFpEF enrolled in the PURSUIT‐HFpEF study into two groups using CFS. The registry enrolled patients hospitalized with a diagnosis of decompensated heart failure. Median age was 82 [interquartile range: 77, 87], and 45% of the patients were male. Of 842 patients, 406 were classified as high CFS (CFS ≥ 4, 48%) and 436 as low CFS (CFS ≤ 3, 52%). The primary endpoint was the composite of all‐cause mortality and heart failure admission. Secondary endpoints were all‐cause mortality and heart failure admission. Patients with high CFS were older (85 vs. 79 years, P < 0.001), predominantly female (65% vs. 46%, P < 0.001) and more likely to have New York Heart Association (NYHA) ≥ 2 (75% vs. 53%, P < 0.001) and a higher level of NT‐proBNP (1360 vs 838 pg/mL, P < 0.001) than those with low CFS. Patients with high CFS had a significantly greater risk of composite endpoint (Kaplan–Meier estimated 1‐year event rate 39% vs. 23%, log‐rank P < 0.001), all‐cause mortality (Kaplan–Meier estimated 1‐year event rate 17% vs. 7%, log‐rank P < 0.001) and heart failure admission (Kaplan–Meier estimated 1‐year event rate 28% vs. 19%, log‐rank P = 0.002) than those with low CFS. Multivariable Cox regression analysis revealed that high CFS was significantly associated with composite endpoint (adjusted HR 1.92, 95% CI 1.35–2.73, P < 0.001), all‐cause mortality (adjusted HR 2.54, 95% CI 1.39–4.66, P = 0.003) and heart failure admission (adjusted HR 1.55, 95% CI 1.03–2.32, P = 0.035) even after adjustment for covariates. Moreover, change in CFS grade was also significantly associated with composite endpoint (adjusted HR 1.23, 95% CI 1.11–1.36, P < 0.001), all‐cause mortality (adjusted HR 1.32, 95% CI 1.13–1.55, P = 0.001) and heart failure admission (adjusted HR 1.15, 95% CI 1.02–1.30, P = 0.021). Conclusions Frailty assessed by the CFS was associated with poor prognosis in patients with HFpEF.

Aims The impacts of high density lipoprotein cholesterol (HDL‐C) as an anti‐inflammatory and C reactive protein (CRP) as inflammatory properties on the pathogenesis of heart failure were reported. At present, the clinical significance of the HDL‐C/CRP ratio in heart failure with preserved ejection fraction (HFpEF) patients remains unknown. Methods and results We examined the data on 796 consecutive HFpEF (left ventricular ejection fraction ≥50%) patients hospitalized due to acute decompensated heart failure from the PURSUIT‐HFpEF registry, a prospective, multicentre observational study. We calculated the HDL/CRP ratios and evaluated the relationship between the values and clinical outcomes, including degree of cardiac function. The mean follow‐up duration was 420 ± 346 days. All‐cause death occurred in 118 patients, of which 51 were cardiac deaths. HDL/CRP ≤ 4.05 was independently and significantly associated with all‐cause death (odds ratio = 1.84, 95% CI: 1.06–3.20, P = 0.023), and HDL/CRP ≤ 3.14 was associated with cardiac death by multivariate Cox proportional hazard analysis (odds ratio = 2.86, 95% CI: 1.36–6.01, P = 0.003). HDL‐C/CRP ratio significantly correlated with the product of the left atrial volume and left ventricular mass index as well as the tricuspid annular plane systolic excursion by multiple regression analysis (standardized beta‐coefficient = −0.085, P = 0.034 and standardized beta‐coefficient = 0.081, P = 0.044, respectively). Conclusions HDL‐C/CRP ratio was a useful marker for predicting all‐cause death and cardiac death and correlated with left ventricular diastolic function and right ventricular systolic function in HFpEF patients.