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Background: Acute kidney injury (AKI) is one of the preventable complications of percutaneous coronary intervention (PCI). This study aimed to develop machine learning (ML) models to predict AKI after PCI in patients with acute coronary syndrome (ACS)., Methods: This study was conducted at Tehran Heart Center from 2015 to 2020. Several variables were used to design five ML models: Naïve Bayes (NB), Logistic Regression (LR), CatBoost (CB), Multi-layer Perception (MLP), and Random Forest (RF). Feature importance was evaluated with the RF model, CB model, and LR coefficients while SHAP beeswarm plots based on the CB model were also used for deriving the importance of variables in the population using pre-procedural variables and all variables. Sensitivity, specificity, and the area under the receiver operating characteristics curve (ROC-AUC) were used as the evaluation measures., Results: A total of 4592 patients were included, and 646 (14.1%) experienced AKI. The train data consisted of 3672 and the test data included 920 cases. The patient population had a mean age of 65.6 ± 11.2 years and 73.1% male predominance. Notably, left ventricular ejection fraction (LVEF) and fasting plasma glucose (FPG) had the highest feature importance when training the RF model on only pre-procedural features. SHAP plots for all features demonstrated LVEF and age as the top features. With pre-procedural variables only, CB had the highest AUC for the prediction of AKI (AUC 0.755, 95% CI 0.713 to 0.797), while RF had the highest sensitivity (75.9%) and MLP had the highest specificity (64.35%). However, when considering pre-procedural, procedural, and post-procedural features, RF outperformed other models (AUC: 0.775). In this analysis, CB achieved the highest sensitivity (82.95%) and NB had the highest specificity (82.93%)., Conclusion: Our analyses showed that ML models can predict AKI with acceptable performance. This has potential clinical utility for assessing the individualized risk of AKI in ACS patients undergoing PCI. Additionally, the identified features in the models may aid in mitigating these risk factors., (© 2024. The Author(s).)

Background: The prevalence of acute coronary syndrome (ACS) among young adults (premature ACS) has dramatically increased in recent years, especially in developing countries. Yet, the data on these patients' attributed risk factors and outcomes are inconsistent. In this study, we aimed to investigate these data in a cohort of premature ACS cases who underwent percutaneous coronary intervention (PCI) compared to older patients., Hypothesis: We hypothesize that premature ACS patients undergoing PCI will exhibit different risk factor profiles and outcomes compared to non-premature patients. specifically, we anticipate that premature patients do not necessarily have better outcomes than non-premature., Methods: Overall, 3142 and 10 399 patients were included in premature and non-premature groups, respectively. Patients' pre-operative, post-operative, and follow-up data were retrieved retrospectively from the Tehran Heart Center PCI databank., Results: The mean age of premature and non-premature cohorts was 48.39 and 67 years, respectively. Patients were predominantly male in both groups. Family history of coronary artery disease (CAD), dyslipidemia, smoking, and opium addiction were more prevalent among the younger cohort. After adjustment, in-hospital mortality in younger patients was considerably higher, with all-cause mortality and major cardiovascular and cerebrovascular events (MACCE) exhibiting no noticeable difference among the two groups., Conclusions: Risk factor profile is different in young patients, and traditional cardiovascular risk factors, such as hypertension and diabetes mellitus, are more prevalent among older adults. Younger age is not equivalent to a better prognosis; hence, similar or even more caution should be taken into consideration regarding secondary prevention for these patients., (© 2023 The Authors. Clinical Cardiology published by Wiley Periodicals, LLC.)

Background: Octogenarians (age≥80 years) with coronary artery disease constitute a high-risk group and the elderly undergoing percutaneous coronary intervention (PCI) are at higher risk of adverse outcomes compared to young patients. In this study, we aimed to describe the outcomes of the elderly with acute coronary syndrome (ACS) who underwent PCI and also to identify the predictors of short-term major adverse cerebrocardiovascular events (MACCE) in octogenarians., Methods: In this registry-based cohort study, we reviewed the data of patients (aged≥65 years) who underwent PCI. Univariate Cox-regression model was used to assess the univariate effects of covariates on mortality and MACCE and multivariate Cox-regression analysis were used to discover MACCE predictors., Results: We reviewed the data of 3332 patients (2722 elderly [65 to 79 years], and 610 octogenarians [≥80 years]). The cumulative hazard of MACCE was significantly higher in the octogenarian group compared with the younger group ( P <0.001). MACCE in octogenarians presenting with ST-elevation myocardial infarction (STEMI) was significantly higher than those with non-ST-elevation myocardial infarction/Unstable angina (NSTEMI/UA) ( P <0.001); however, the cumulative hazard of mortality was not significantly different between the two groups ( P =0.270). Successful PCI, left main stenosis and estimated glomerular filtration rate (eGFR) were independent predictors of MACCE in octogenarians with ACS., Conclusion: Octogenarians undergoing PCI had a higher rate of MACCE and mortality compared with a younger population. In octogenarians, MACCE in those with STEMI was significantly higher than those with NSTEMI/UA and the mortality trend was similar; however, the 1-year trend was in favor of the STEMI subgroup., (© 2022 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.)

Background: Although low-density lipoprotein-cholesterol (LDL-C) level is considered one of the main prognostic factors in patients with coronary artery bypass grafting (CABG), the question about "the lower the better" is still unanswered. We aimed to evaluate and compare the outcomes of patients with CABG and low or very low baseline LDL-C, regardless of statin usage. Methods: In this registry-based cohort study, 10,218 patients with low/very low (70–100 and ≤ 70 mg/dL) baseline LDL-C who underwent isolated and the first-time CABG without known previous history of cardio-cerebrovascular events, were included and compared. The median follow-up was 73.33 (72.15–74.51) months. Primary outcomes were all-cause mortality and major adverse cardio-cerebrovascular events (MACCE) (consisted of all-cause mortality, acute coronary syndrome, stroke or transient ischemic attack, and the need for repeat revascularization [percutaneous coronary intervention or redo-CABG]). Cox regression analyses before and after the propensity score matching (PSM) model were applied to evaluate and compare outcomes. Results: The mean age of the study population was 66.17 ± 9.98 years old and 2506 (24.5%) were women. Diabetes mellitus and a history of cigarette smoking were significantly higher in the very low LDL group (P-value ≤ 0.001). In Cox regression analyses before applying PSM model, both all-cause mortality (14.2% vs. 11.9%, P-value = 0.004 and MACCE (26.0% vs. 23.6%, P-value = 0.006) were significantly higher in the very low LDL group compared to low LDL. However, these results were no longer significant after applying the PSM model (all-cause mortality HR: 1.115 [95% CI: 0.986–1.262], P = 0.083 and MACCE HR: 1.077 [95%CI: 0.984–1.177], P = 0.095). The sensitivity analysis to remove the statin effect demonstrated that very low LDL-C level was correlated to higher risk of all-cause mortality in both unmatched and PSM analyses. Conclusion: Very low serum LDL-C levels (≤ 70 mg/dl) could increase long-term all-cause mortality and cardiovascular events in patients who have undergone isolated CABG. [ABSTRACT FROM AUTHOR]