藤田 英雄

BACKGROUND: Acute myocardial infarction (AMI) is a fatal cardiovascular disease with varying prognosis. Recent studies suggest a close relationship between cardiovascular disease and metabolic dysfunction-associated fatty liver disease (MAFLD), but because the prognostic value of MAFLD in patients with AMI remains unclear, we investigated the relationship between MAFLD and clinical outcomes in patients with AMI. METHODS AND RESULTS: This retrospective study included 1,142 patients with AMI who underwent percutaneous coronary intervention (PCI) to the culprit lesion of AMI and were classified as MAFLD (n=231) and non-MAFLD (n=911). Hepatic steatosis was diagnosed by a liver-to-spleen attenuation (L/S) ratio <1 on computed tomography. The primary outcome was major adverse cardiovascular events (MACE), which were defined as a composite of all-cause death, non-fatal MI, and readmission for heart failure. Over a median follow-up of 609 days, MACE was less frequently observed in the MAFLD group than in the non-MAFLD group (P=0.015). However, the multivariate Cox hazard analysis showed that MAFLD was not associated with MACE (hazard ratio 0.80, 95% confidence interval 0.564-1.140, P=0.219) after controlling for confounding factors. CONCLUSIONS: We could not show a significant association between MAFLD and MACE in patients with AMI, suggesting the absence of strong association between MAFLD and long-term clinical outcomes in these patients.

Background Accurately predicting left ventricular ejection fraction (LVEF) recovery after percutaneous coronary intervention (PCI) in patients with chronic coronary syndrome (CCS) is crucial for clinical decision-making. Objective This study aimed to develop and compare multiple machine learning (ML) models to predict LVEF recovery and identify key contributing features. Methods We retrospectively analyzed 520 patients with CCS from the Clinical Deep Data Accumulation System database. Patients were categorized into 4 binary classification tasks based on baseline LVEF (≥50% or &lt;50%) and degree of recovery: (1) good recovery, defined as an LVEF increase of &gt;10% compared with ≤0%; and (2) normal recovery, defined as an LVEF increase of 0% to 10% compared with ≤0%. For each task, 3 feature selection strategies (all features, least absolute shrinkage and selection operator [LASSO] regression, and recursive feature elimination [RFE]) were combined with 4 ML algorithms (extreme gradient boosting [XGBoost], categorical boosting, light gradient boosting machine, and random forest), resulting in 48 models. Models were evaluated using 10-fold cross-validation and assessed by the area under the curve (AUC), decision curve analysis, and calibration plots. Results The highest AUCs were achieved by RFE combined with XGBoost (AUC=0.93) for preserved LVEF with good recovery, LASSO combined with XGBoost (AUC=0.79) for preserved LVEF with normal recovery, LASSO combined with XGBoost (AUC=0.88) for reduced LVEF with good recovery, and RFE combined with XGBoost (AUC=0.84) for reduced LVEF with normal recovery. Shapley Additive Explanation analysis identified uric acid, platelets, hematocrit, brain natriuretic peptide, glycated hemoglobin, glucose, creatinine, baseline LVEF, left ventricular end-diastolic internal diameter, heart rate, R wave amplitude in V5, and R wave amplitude in V6 as important predictive factors of LVEF recovery. Conclusions ML models incorporating feature selection strategies demonstrated strong predictive performance for LVEF recovery after PCI. These interpretable models may support clinical decision-making and can improve the management of patients with CCS after PCI.

OBJECTIVES: The association between blood pressure (BP) and the mortality risk may vary depending on the comorbidities. This study was conducted to investigate the subgroup-specific correlation between systolic BP (SBP) and mortality in patients with coronary artery disease undergoing percutaneous coronary intervention (PCI). METHODS: The Clinical Deep Data Accumulation System for PCI (CLIDAS-PCI), a nation-wide multicenter database with seven tertiary medical hospitals in Japan, retrospectively collected data on patients undergoing PCI for acute coronary syndrome or stable coronary artery disease. Cubic spline curves modeled the relationship between SBP and all-cause death in the entire cohort and subgroups stratified by age, sex, diabetes, left ventricular (LV) hypertrophy, renal function and LV systolic function. We assessed the SBP, which minimizes mortality risk. RESULTS: A total of 8384 patients [71 [IQR 64, 78] years, 6494 (77%) male] with SBP at hospital discharge were analyzed. During 2.7 years of median follow-up, 695 deaths occurred. In the overall population, spline analysis demonstrated a nadir range of mortality risk around an SBP of 110-130 mmHg. Subgroup analyses revealed that elderly (age ≥ 80 years), those with renal dysfunction, and those with preserved LV systolic function had higher SBP levels associated with lowest risk. Conversely, patients <80 years, those with better renal function, and those with LV systolic dysfunction exhibited lower SBP levels at lowest risk. CONCLUSION: This study demonstrated differential association between SBP and mortality risk in various subgroups, highlighting the need for personalized BP management in multimorbid patients with coronary artery disease.

BACKGROUND: There is a substantial risk of slow flow during percutaneous coronary intervention (PCI) for the culprit lesion in acute myocardial infarction (AMI), which can lead to adverse outcomes. We hypothesized that single-step long balloon inflation during stent deployment was associated with a more favorable final Thrombolysis in Myocardial Infarction (TIMI) flow grade. This retrospective study aimed to compare both the final TIMI flow grade and the delta TIMI flow grade in intravascular ultrasound (IVUS)-guided PCI for AMI between patients with long balloon inflation and those with conventional inflation. METHODS AND RESULTS: Long inflation was defined as single-step inflation ≥60 s at stent deployment. The primary endpoints were achievement of the final TIMI flow grade 3 and the delta TIMI flow grade, defined as the difference between the initial and final grades. We analyzed 336 AMI patients with attenuation plaque on IVUS, dividing them into a long inflation group (n=50) and a conventional inflation group (n=286). Despite a significantly higher TIMI thrombus grade in the long inflation group (P<0.001), the rate of the final TIMI 3 flow was similar (90% vs. 88.5%; P=1.00). However, the delta TIMI flow grade was significantly greater in the long inflation group (P=0.028). CONCLUSIONS: Single-step long balloon inflation may be a simple and feasible method to achieve optimal final TIMI flow in IVUS-guided PCI for AMI.