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Cannabis use and atherosclerotic cardiovascular disease outcomes: A meta-analysis of multinational cohort data.
Dis Mon
January 2025
Department of Internal Medicine, Trinity Health Oakland/ Wayne State University, Pontiac, Michigan, USA.
Background: While an association between cannabis use and the risk of atherosclerotic cardiovascular diseases (ASCVD) has been reported numerous times, it remains inconclusive as to whether this link is causal in nature. We sought to consolidate data from observational studies to explore the association between ever use of cannabis and ASCVD outcomes, including myocardial infarction, stroke, and a combined measure of any adverse cardiovascular events in comparison to non-users or controls.
Methods: We performed a systematic literature search on PubMed, Scopus, ScienceDirect, and Cochrane Library for relevant studies from inception until April 2024.
Association between left ventricular reverse remodelling and the B-type natriuretic peptide-cGMP cascade after anterior acute myocardial infarction.
Open Heart
January 2025
Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
Background: The role of cyclic guanosine 3',5'-monophosphate (cGMP) after acute myocardial infarction (AMI) is not well understood despite its significance as a second messenger of natriuretic peptides (NPs) in cardiovascular disease. We investigated the association between the NP-cGMP cascade and left ventricular reverse remodelling (LVRR) in anterior AMI.
Methods: 67 patients with their first anterior AMI (median age, 64 years; male, 76%) underwent prospective evaluation of plasma concentrations of the molecular forms of A-type and B-type natriuretic peptide (BNP) and cGMP from immediately after primary percutaneous coronary intervention (PPCI) to 10 months post-AMI.
Rural-urban disparity in survival and use of PCI in patients who develop STEMI while hospitalized for a non-cardiac condition.
Curr Probl Cardiol
January 2025
Division of Cardiology and the McAllister Heart Institute, University of North Carolina, Chapel Hill, NC. Electronic address:
Background: The development of ST-segment elevation myocardial infarction (STEMI) in patients hospitalized for non-cardiac indications carries a high mortality rate.
Objectives: Determine the impact of rural vs. urban hospital location and hospital percutaneous coronary intervention (PCI) volumes on clinical outcomes.
Bidirectional effect modifications of temperature and PM on myocardial infarction morbidity and mortality in Beijing, China from 2007 to 2021.
Ecotoxicol Environ Saf
January 2025
Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing, China; Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; The Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China. Electronic address:
Background: Ambient temperatures and PM can trigger myocardial infarction (MI), while little is known about the complex interplay between these two factors on MI, especially morbidity.
Objectives: To investigate bidirectional effect modifications of temperature and PM on MI morbidity and mortality.
Methods: A time-stratified case-crossover study was conducted utilizing high-resolution data of temperature and PM, along with 498,077 MI cases from the citywide registry in Beijing, China from 2007 to 2021.
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK Biobank.
Atherosclerosis
December 2024
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Genomic Data Analytics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
Background And Aims: An in silico quantitative score of coronary artery disease (ISCAD), built using machine learning and clinical data from electronic health records, has been shown to result in gradations of risk of subclinical atherosclerosis, coronary artery disease (CAD) sequelae, and mortality. Large-scale metabolite biomarker profiling provides increased portability and objectivity in machine learning for disease prediction and gradation. However, these models have not been fully leveraged.
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