Publications by authors named "Yoshihiro Sobue"

Acute heart failure is an important cause of unplanned hospitalizations and poses a significant burden through increased mortality and frequent hospitalizations. Heart failure with preserved ejection fraction (HFpEF) presents as a diverse condition characterized by complex cardiovascular and non-cardiovascular pathology. This study aimed to identify distinct clinical phenotypes in acute decompensated HFpEF (ADHF) using cluster analysis and assess their prognostic significance.

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Aims: Sudden cardiac death (SCD) is a common mode of death in patients with congestive heart failure (CHF). Implantable cardioverter defibrillator (ICD) implantation is established treatment for SCD prevention, but current eligibility criteria based on left ventricular ejection fraction (LVEF) and New York Heart Association (NYHA) functional class may be due for reconsideration given the increasing effectiveness of pharmacological therapy. We sought to reconsider the risk stratification of SCD in patients with symptomatic CHF.

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  • A study was conducted to improve the prediction of which coronary artery lesions could lead to acute coronary syndrome (ACS) by integrating artificial intelligence (AI) with traditional methods.
  • The research focused on patients who had undergone coronary CT angiography (CTA) before experiencing an ACS event, analyzing both culprit (problematic) and nonculprit lesions.
  • The new model incorporating AI features showed significantly better predictability for identifying high-risk lesions compared to standard methods, suggesting that AI can enhance cardiac risk assessment.
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  • AI-QCT (Artificial Intelligence Quantitative CT) is effective for identifying coronary plaque morphology, specifically low-density noncalcified plaque (LD-NCP), utilizing NIRS-IVUS (near-infrared spectroscopy-intravascular ultrasound) as a benchmark.
  • The study assessed 133 plaques from 47 patients, revealing AI-QCT's high accuracy (94%) and a strong correlation with IVUS metrics such as vessel area and plaque burden.
  • Results suggest that AI-QCT is a reliable tool for detecting significant LD-NCP, with a notable optimal volume threshold identified for improved diagnostic performance.
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  • The study focused on the link between ventricular repolarization instability (measured by T-wave amplitude variability) and the occurrence of rapid heart rhythms (VT/VF) in patients with acute coronary syndrome (ACS) within 48 hours of onset.
  • Out of 572 patients, 7.5% experienced acute-phase VT/VF, leading to higher in-hospital mortality, but T-wave amplitude variability was not a reliable predictor of survival after discharge.
  • Key factors like deceleration capacity (DC), non-Gaussian index (λ25s), and emergency coronary interventions emerged as independent predictors for long-term survival in ACS patients.
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Background: Coronary CT angiography (CCTA) is a first-line noninvasive imaging modality for evaluating coronary artery disease (CAD). Recent advances in CCTA technology enabled semi-automated detection of coronary arteries and atherosclerosis. However, there have been to date no large-scale validation studies of automated assessment of coronary atherosclerosis phenotype and coronary artery dimensions by artificial intelligence (AI) compared to current standard invasive imaging.

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  • This study compared the effectiveness of coronary computed tomography angiography (CCTA) and near-infrared spectroscopy intravascular ultrasound (NIRS-IVUS) in predicting heart damage during heart procedures in patients with significant coronary narrowing.
  • Researchers enrolled 107 patients, categorized them based on their plaque characteristics, and found that those with lipid-rich plaque (LRP) showed higher markers of heart injury after the procedure.
  • Ultimately, while both CCTA and NIRS-IVUS were useful in identifying risky plaques, NIRS-IVUS was more accurate at predicting the likelihood of heart damage during the procedure.
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Objective: The early detection of cardiac disease is important because the disease can lead to sudden death and poor prognosis. Electrocardiograms (ECG) are used to screen for cardiac diseases and are useful for the early detection and determination of treatment strategies. However, the ECG waveforms of cardiac care unit (CCU) patients with severe cardiac disease are often complicated by comorbidities and patient conditions, making it difficult to predict the severity of further cardiac disease.

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  • Contrast-associated acute kidney injury (CA-AKI) can occur in patients undergoing percutaneous coronary intervention (PCI), and proteinuria may help predict this risk.
  • In a study of 1,254 patients, researchers developed a risk score based on emergency procedures, serum creatinine, and proteinuria to assess the likelihood of CA-AKI.
  • The risk score showed good predictive ability, making it a potentially valuable tool for evaluating CA-AKI risk before PCI procedures.
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Background: Left-ventricular systolic dysfunction (LVSD) comorbid with atrial fibrillation is reversible, but recovery is limited in a subset of patients. The Selvester QRS (S-QRS) score is an electrocardiogram-based assessment that reportedly reflects myocardial scar/damage. We evaluated the predictability of S-QRS score for the recovery of left-ventricular ejection fraction (LVEF) in persistent AF (PeAF) patients with LVSD undergoing catheter ablation (CA).

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Background: Telerehabilitation is an alternative clinic-based rehabilitation. A remote monitoring (RM) system attached to a cardiac rhythm device can collect physiological data and the device function. This study aimed to evaluate the safety and feasibility of telerehabilitation supervised by an RM in patients receiving cardiac resynchronization therapy (CRT).

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Background: Myocardial perfusion imaging (MPI) and fractional flow reserve (FFR) are established approaches to the assessment of myocardial ischemia. Recently, various FFR cutoff values were proposed, but the diagnostic accuracy of MPI in identifying positive FFR using various cutoff values is not well established.

Methods and results: We retrospectively studied 273 patients who underwent stress MPI and FFR within a 3-month period.

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Coronary computed tomography angiography (CCTA)-derived fractional flow reserve (FFR) is an established tool for identifying lesion-specific ischemia that is now approved for use by the Japanese insurance system. However, current clinical reimbursement is strictly limited to institutions with designated appropriate use criteria (AUC). This study assessed differences in physicians' behavior (e.

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There are few reports on the coexistence of cardiac amyloid light-chain (AL) amyloidosis and light chain deposition disease (LCDD), despite their similar pathophysiologies caused by plasma-cell dyscrasia. Herein, we report the coexistence of these diseases. A 59-year-old man was referred to our hospital because of exertional dyspnea and hypotension.

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Article Synopsis
  • - The study aimed to evaluate how accurately pre-percutaneous coronary intervention (PCI) predicted nonhyperemic pressure ratios (NHPRs) correspond to actual NHPRs measured after PCI, while also examining the effectiveness of using pre-PCI NHPR assessments for guiding treatment.
  • - Researchers conducted a multicenter trial comparing three NHPR measuring methods—instantaneous wave-free ratio (iFR), resting full-cycle ratio (RFR), and diastolic pressure ratio (dPR)—to see how well they predict functional outcomes post-PCI.
  • - Results showed strong correlations between predicted and actual NHPRs for all three methods, and the NHPR pullback strategy resulted in fewer and shorter treated lesions compared to traditional angiography-guid
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  • Recent recommendations suggest measuring fractional flow reserve (FFR) values 1-2 cm distal to stenosis in coronary CTA for better accuracy in diagnosing ischemia, as far distal measurements may lead to overestimation.
  • A study evaluated the diagnostic performance of FFR values taken at 1-2 cm distal to stenosis and further down the artery, comparing them against invasive FFR across 365 vessels in 253 patients.
  • Results showed that FFR values measured 1-2 cm distal to stenosis had a higher diagnostic accuracy (AUC of 0.85) compared to far distal segment measurements (AUC of 0.80), with improved sensitivity, specificity, and positive predictive value in various coronary artery
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The diastolic pressure ratio (dPR) and resting full-cycle ratio (RFR) are considered to be almost identical to the instantaneous wave-free ratio (iFR) in the retrospective analysis of pooled data. The aim of this study was to investigate the direct comparison of iFR and these new resting indexes in real world practice. Two pressure wires were inserted and placed in the distal part of the same coronary artery.

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Objectives: The aim of this study was to compare diagnostic performance between quantitative flow ratio (QFR) derived from coronary angiography and fractional flow reserve derived from computed tomography (FFR) using fractional flow reserve (FFR) as the reference standard.

Background: QFR and FFR are recently developed, less invasive techniques for functional assessment of coronary artery disease.

Methods: QFR, FFR, and FFR were measured in 152 patients (233 vessels) with stable coronary artery disease.

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Objectives: The objective was to evaluate the safety, feasibility, and accuracy of the jailed-pressure wire technique using a durable optical fiber-based pressure wire with high-pressure dilatation using a non-compliant balloon after main vessel stenting.

Background: Fractional flow reserve (FFR) information can help interventionists determine whether they should treat a jailed-side branch (SB). However, re-crossing a pressure wire into a jailed-SB is sometimes technically difficult.

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Article Synopsis
  • This study compared the effectiveness of two myocardial perfusion imaging (MPI) protocols, Tc/Tc and SDI, in diagnosing coronary artery issues among 147 patients who also underwent coronary angiography.
  • The SDI protocol showed significantly better sensitivity (89%) and accuracy (85%) compared to the Tc/Tc protocol, which had a sensitivity of 56% and accuracy of 69%.
  • Overall, the findings suggest that the SDI protocol is more reliable for detecting coronary ischemia compared to the traditional Tc/Tc method.
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Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice and is associated with morbidity and mortality. Over the past 2 decades, there have been major advances in understanding AF pathophysiology, but important knowledge gaps, particularly about targetable basic mechanisms, remain. Recent metabolomic and proteomic studies have shown changes in the expression of molecules involved in metabolic pathways in human and experimental AF, indicating a role for metabolic alterations in AF pathophysiology.

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Heart failure (HF) is classified into three clinical subtypes: HF with a preserved ejection fraction (HFpEF: EF ≥ 50%), HF with a mid-range ejection fraction (HFmrEF: 40 ≤ EF < 49%), and HF with a reduced ejection fraction (HFrEF: EF < 40%). These types often coexist with atrial fibrillation (AF). We investigated the rate of strokes/systemic embolisms (SSEs) in AF patients with HFpEF (AF-HFpEF) compared to that in those with HFrEF (AF-HFrEF: HFmrEF and HFrEF), and examined the independent predictors.

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