Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization. OBJECTIVES: This study sought to investigate the additive value of artificial intelligence-enabled quantitative coronary plaque and hemodynamic analysis (AI-QCPHA). METHODS: Among ACS patients who underwent coronary computed tomography angiography (CTA) from 1 month to 3 years before the ACS event, culprit and nonculprit lesions on coronary CTA were adjudicated based on invasive coronary angiography. The primary endpoint was the predictability of the risk models for ACS culprit lesions. The reference model included the Coronary Artery Disease Reporting and Data System, a standardized classification for stenosis severity, and high-risk plaque, defined as lesions with ≥2 adverse plaque characteristics. The new prediction model was the reference model plus AI-QCPHA features, selected by hierarchical clustering and information gain in the derivation cohort. The model performance was assessed in the validation cohort. RESULTS: Among 351 patients (age: 65.9 ± 11.7 years) with 2,088 nonculprit and 363 culprit lesions, the median interval from coronary CTA to ACS event was 375 days (Q1-Q3: 95-645 days), and 223 patients (63.5%) presented with myocardial infarction. In the derivation cohort (n = 243), the best AI-QCPHA features were fractional flow reserve across the lesion, plaque burden, total plaque volume, low-attenuation plaque volume, and averaged percent total myocardial blood flow. The addition of AI-QCPHA features showed higher predictability than the reference model in the validation cohort (n = 108) (AUC: 0.84 vs 0.78; P < 0.001). The additive value of AI-QCPHA features was consistent across different timepoints from coronary CTA. CONCLUSIONS: AI-enabled plaque and hemodynamic quantification enhanced the predictability for ACS culprit lesions over the conventional coronary CTA analysis. (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary Computed Tomography Angiography and Computational Fluid Dynamics II [EMERALD-II]; NCT03591328).

Impact of Everolimus Initiation and Corticosteroid Weaning During Acute Phase After Heart Transplantation on Clinical Outcome: Data from the Korean Organ Transplant Registry (KOTRY).

The effect of changes in immunosuppressive therapy during the acute phase post-heart transplantation (HTx) on clinical outcomes remains unclear. This study aimed to investigate the effects of changes in immunosuppressive therapy by corticosteroid (CS) weaning and everolimus (EVR) initiation during the first year post-HTx on clinical outcomes. We analyzed 622 recipients registered in the Korean Organ Transplant Registry (KOTRY) between January 2014 and December 2021. The median age at HTx was 56 years (interquartile range [IQR], 45-62), and the median follow-up time was 3.9 years (IQR 2.0-5.1). The early EVR initiation within the first year post-HTx and maintenance during the follow-up is associated with reduced the risk of primary composite outcome (all-cause mortality or re-transplantation) (HR, 0.24; 95% CI 0.09-0.68; p < 0.001) and cardiac allograft vasculopathy (CAV) (HR, 0.39; 95% CI 0.19-0.79; p = 0.009) compared with EVR-free or EVR intermittent treatment regimen, regardless of CS weaning. However, the early EVR initiation tends to increase the risk of acute allograft rejection compared with EVR-free or EVR intermittent treatment.

Prognostic Value of Brachial-Ankle Pulse Wave Velocity According to Subjects' Clinical Characteristics: Data From Analysis of 10,597 Subjects.

BACKGROUND: To make good use of the prognostic value of arterial stiffness, it is important to identify the population with the greatest benefit. In this study, we compared the prognostic value of brachial-ankle pulse wave velocity (baPWV) according to various clinical characteristics. METHODS: A total of 10,597 subjects who underwent baPWV measurement (mean age, 61.4 ± 9.5 years; female proportion, 42.5%) were retrospectively analyzed. Major adverse cardiovascular events (MACEs), defined as a composite of cardiac death, non-fatal myocardial infarction, coronary revascularization, and ischemic stroke were assessed during the clinical follow-up period. RESULTS: In the multivariate analysis, clinical variables with more than 4,000 subjects were selected as grouping variables, which were sex (men and women), age (≥ 65 and < 65 years), body mass index (BMI) (≥ 25 and < 25 kg/m²), hypertension (presence and absence), estimated glomerular filtration rate (≥ 90 and < 90 mL/min/1.73 m²), and statin use (user and non-user). During the median clinical follow-up duration of 3.58 years (interquartile range, 1.43-5.38 years), there were 422 MACEs (4.0%). In total study subjects, baseline higher baPWV was associated with increased risk of MACE occurrence (hazard ratio for baPWV ≥ 1,800 cm/s compared to baPWV < 1,400 cm/s, 4.04; 95% confidence interval, 2.62-6.21; P < 0.001). The prognostic value of baPWV was statistically significant regardless of sex, age, BMI, hypertension, renal function, and statin use. CONCLUSION: Our results suggest that baPWV is not only effective in specific clinical situations, but can be effectively applied to predict cardiovascular prognosis in various clinical situations.