Long-term clinical outcome after use of stents in primary and rescue coronary angioplasty for treatment of acute myocardial infarction has not been described in detail. This study was conducted to evaluate long-term (more than one year) outcome in patients treated for acute myocardial infarction with stents. Between January 1, 1997 and September 1997, 101 consecutive patients had coronary artery stents implanted either for primary treatment of myocardial infarction or after failed thrombolytic therapy. Medical records of these patients were reviewed and telephone follow-up was performed using a standard questionnaire. Mean duration of follow-up was 17.8 +/- 1.7 months. During initial hospitalization only one patient had emergent percutaneous transluminal coronary angioplasty due to stent thrombosis (1%); two patients underwent emergent coronary artery bypass surgery (2%) and two patients died (2%). During the follow-up period, ten patients (10%) had recurrent angina, eight patients were treated medically (8%), two required repeat angioplasty (2%), two patients died (2%), and three patients (3%) were lost to follow-up. Stenting of the culprit vessel during acute myocardial infarction appears to be a safe and effective treatment associated with favorable in-hospital and long-term outcomes.
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BMJ Open
March 2025
National Institute of Cardiovascular Diseases, Karachi, Pakistan.
Objectives: Accurately predicting short-term MACE (major adverse cardiac events) following primary percutaneous coronary intervention (PCI) remains a clinical challenge. This study aims to assess the effectiveness of four established risk scores in predicting short-term MACE after primary PCI.
Design: Prospective observational study.
Int J Cardiol
March 2025
Université Paris Cité, Department of Cardiology, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010 Paris, France; Inserm MASCOT - UMRS 942, University Hospital of Lariboisiere, 75010 Paris, France; MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010 Paris, France.
Background: The prevalence of recreational drug use in myocardial infarction (MI) patients without standard modifiable cardiovascular risk factors (SMuRF) namely hypercholesterolemia, hypertension, diabetes and smoking, remains unknown.
Methods: All patients enrolled in The Addiction in Intensive Cardiac Care Units (ADDICT-ICCU) study, a French multicenter prospective observational study which systematically assessed the use of recreational drug within 2 h of admission, and presenting with MI but without known coronary artery disease were included. We compared patients with and without SMuRF.
Semin Thromb Hemost
March 2025
Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide, with platelet reactivity playing a central role in its pathogenesis. Recent research has identified microRNAs (miRNAs; miRs) as potential biomarkers for CAD, due to their ability to regulate platelet function and reactivity. This review focuses on four key miRNAs-miR-223, miR-126, miR-21, and miR-150-known to influence platelet reactivity and their implications in CAD.
View Article and Find Full Text PDFJ Natl Compr Canc Netw
March 2025
5Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA.
Background: Rural areas have higher cardiovascular disease (CVD) incidence and age-adjusted mortality rates in the general population. However, the impact of rurality on CVD development and outcomes in patients with prostate cancer (PC) remains unclear.
Patients And Methods: This retrospective cohort study used the SEER-Medicare database to analyze males aged ≥65 years diagnosed with PC between 2009 and 2017.
Int J Med Inform
March 2025
Research Center of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin 130117, China. Electronic address:
Background: Machine learning (ML) models have been constructed to predict the risk of in-hospital mortality in patients with myocardial infarction (MI). Due to diverse ML models and modeling variables, along with the significant imbalance in data, the predictive accuracy of these models remains controversial.
Objective: This study aimed to review the accuracy of ML in predicting in-hospital mortality risk in MI patients and to provide evidence-based advices for the development or updating of clinical tools.
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