Biomedical and environmental sciences : BES
30636655
OBJECTIVE: The predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with stable coronary artery disease (SCAD) in the drug-eluting stent era is not yet clear. We aimed to evaluate the prognostic value of NT-proBNP in S...
Aims To compare clinical outcome in Chronic kidney disease (CKD) patients receiving coronary stents according to stent type BMS versus DES and 1st generation versus 2nd generation DES. Methods and Results PubMed, Cinhal, Cochrane, Embase, and Web of ...
Papillary fibroelastomas of the mitral chordae tendineae are rare, primary benign tumors. They are either incidentally diagnosed during echocardiography or discovered after transient ischemic attack, stroke, or myocardial infarction. Removal of papil...
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
31250510
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coronary artery from the pulmonary artery (ALCAPA) presented with reduced left ventricular ejection fraction of 48% and severe ischemia quantified as 21% b...
BACKGROUND: Machine learning (ML) has arrived in medicine to deliver individually adapted medical care. This study sought to use ML to discriminate stent restenosis (SR) compared with existing predictive scores of SR. To develop an easily applicable ...
Percutaneous coronary intervention (PCI) with stent placement is a treatment effective for coronary artery diseases. Intravascular optical coherence tomography (OCT) with high resolution is used clinically to visualize stent deployment and restenosis...
Biomechanics and modeling in mechanobiology
38236483
Machine learning (ML) techniques have shown great potential in cardiovascular surgery, including real-time stenosis recognition, detection of stented coronary anomalies, and prediction of in-stent restenosis (ISR). However, estimating neointima evolu...
Journal of the American Heart Association
39344653
BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optim...
BACKGROUND: The Systemic Coagulation-Inflammation index (SCI) is an innovative hematological metric that accurately reflects both coagulopathic and inflammatory dynamics. In this paper, the objective of this paper is to explain the prognostic impact ...