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159%, 10, and 48%, respectively. The minimum prematurity index of the APCs (≤48%) was significantly associated with VLRAF in the multivariate analysis. In conclusion, the minimum prematurity index of the APCs (≤48%) at 12 months after CA was shown to be an independent predictor of VLRAF in patients without antiarrhythmic drugs. Although the index is a very simple parameter automatically calculated by analysis software, it can be an important index for following patients after CA over the long-term.Since the diagnosis of cardiac amyloidosis (CA) is often delayed, echocardiographic findings are frequently indicative of advanced cardiomyopathy. We aimed to describe early echocardiographic features in patients subsequently diagnosed with CA. Preamyloid diagnosis echocardiographic studies were screened for structural and functional parameters and stratified according to the pathogenetic subtype (immunoglobulin light-chain [AL] or amyloid transthyretin [ATTR]). Abnormalities were defined based on published guidelines. Our cohort included 75 CA patients of whom 42 (56%) were diagnosed with AL and 33 (44%) with ATTR. Forty-two patients had an earlier echocardiography exam available for review. Patients presented with increased wall thickness (1.3 [interquartile range IQR 1.0, 1.5] cm) ≥3 years before the diagnosis of CA and relative wall thickness was increased (0.47 [IQR 0.41, 0.50]) ≥7 years prediagnosis. One to 3 years before CA diagnosis restrictive left ventricular (LV) filling pattern was present in 19% of patients and LV ejection fraction ≤50% was present in 21% of patients. Right ventricular dysfunction was detected concomitantly with disease diagnosis. The echocardiographic phenotype of ATTR versus AL-CA showed increased relative wall thickness (0.74 [IQR 0.62, 0.92] versus 0.62 [IQR 0.54, 0.76], p = 0.004) and LV mass index (144 [IQR 129, 191] versus 115 [IQR 105, 146] g/m2, p = 0.020) and reduced LV ejection fraction (50 [IQR 44, 58] versus (60 [IQR 53, 60]%, p = 0.009) throughout the time course of CA progression, albeit survival time was similar. In conclusion, increased wall thickness and diastolic dysfunction in CA develop over a time course of several years and can be diagnosed in their earlier stages by standard echocardiography.Risk stratification at hospital discharge could be instrumental in guiding postdischarge care. In this study, the risk models for 1-year mortality using machine learning (ML) were evaluated for guiding management of acute myocardial infarction (AMI) patients. From the Korea Acute Myocardial Infarction Registry (KAMIR) dataset, 22,182 AMI patients were selected. The 1-year all-cause mortality was recorded at 12-month follow-up periods. Anomaly detection was conducted for removing outliers; principal component analysis for dimensionality reduction, recursive feature elimination algorithm for feature selection. Model selection and training were conducted with 70% of the dataset after the creation and cross-validation of hundreds of models with decision trees, ensembles, logistic regressions, and deepnets algorithms. The rest of the dataset (30%) was used for comparison between the ML and KAMIR score-based models. The mean age of the AMI patients was 64 years, 71.8% were male, and 56.7% were eventually diagnosed with ST-elevation myocardial infarction. There were 1,332 patients suffering from all-cause mortality (6%) during a median 338 days of follow-up. The ML models for 1-year mortality were well-calibrated (Hosmer-Lemeshow p >0.05) and showed good discrimination (area under the curve for test cohort 0.918). Compared with the performance of the KAMIR score model, the ML model had a higher area under the curve, net reclassification improvement, and integrated discrimination improvement. The ML model for 1-year mortality was well-calibrated and had excellent discriminatory ability and higher performance. In a comprehensive clinical evaluation process, this model could support risk stratification and management in postdischarge AMI patients.This study sought to evaluate long-term mortality and major adverse cardiac and cerebrovascular events (MACCE) in patients with cardiac arrest (CA) and cardiogenic shock (CS) complicating acute myocardial infarction (AMI). This was a retrospective cohort study using an administrative claims database. AMI patients from January 1, 2010 to May 31, 2018 were stratified into CA + CS, CA only, CS only, and AMI alone cohorts. Outcomes of interest were long-term mortality and MACCE (death, AMI, cerebrovascular accident, unplanned revascularization) in AMI survivors. A total 163,071 AMI patients were included with CA + CS, CA only, and CS only in 2.4%, 5.0%, and 4.0%, respectively. The CA + CS cohort had higher rates of multiorgan failure, mechanical circulatory support use and less frequent coronary angiography use. In-hospital mortality was noted in 10,686 (6.6%) patients - CA + CS (48.8%), CA only (35.9%), CS only (24.1%), and AMI alone (2.9%; p less then 0.001). Over 23.5 ± 21.7 months follow-up after hospital discharge, patients with CA + CS (hazard ratio [HR] 1.36 [95% confidence interval CI 1.19 to 1.55]), CA only (HR 1.16 [95% CI 1.08 to 1.25]), CS only (HR 1.39 [95% CI 1.29 to 1.50]) had higher all-cause mortality compared with AMI alone (all p less then 0.001). Proteases inhibitor Presence of CS, either alone (HR 1.22 [95% CI 1.16 to 1.29]; p less then 0.001) or with CA (HR 1.18 [95% CI 1.07 to 1.29]; p less then 0.001), was associated with higher MACCE compared with AMI alone. In conclusion, CA + CS, CA, and CS were associated with worse long-term survival. CA and CS continue to influence outcomes beyond the index hospitalization in AMI survivors.Scarce data exist on clinical features and prognosis of patients with severe aortic stenosis (AS), concomitant with left ventricular obstruction (LVO). We aimed to evaluate the prevalence, characteristics, and outcomes in patients with severe AS and LVO undergoing transcatheter aortic valve implantation (TAVI). Consecutive patients with severe AS undergoing TAVI between January 2013 to December 2017 at our institution were included. Significant LVO was defined as resting peak left ventricular (LV) systolic gradient ≥30 mm Hg on pre-TAVI echocardiography. We analyzed the primary composite outcome of all-cause mortality and rehospitalization for heart failure (HHF) at 1-year in patients with LVO and those without LVO in the overall and propensity-matched populations. Among 1,729 patients who underwent TAVI, significant LVO was observed in 31 (1.8%) patients. This group was more likely to be female, had smaller aortic annulus and LV cavity, and received a smaller size of the transcatheter heart valve. The most common phenotype of LV hypertrophy causing LVO was concentric LV hypertrophy (58%), and mid-LV obstruction was more common than LV outflow tract obstruction (77% vs 23%, respectively).