AIMC Topic: Hydroxymethylglutaryl-CoA Reductase Inhibitors
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Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.
Scientific reports
Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Cardiotoxicity
Anthracyclines
Adrenergic beta-Antagonists
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Angiotensin Receptor Antagonists
Angiotensin-Converting Enzyme Inhibitors
Cardiotonic Agents
Female
Aged
Adult
Male
Middle Aged
Drug Repositioning
Natural Language Processing
Calcium Channel Blockers
Humans
Retrospective Studies
Electronic Health Records
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy.
Scientific reports
Feb 13, 2025
Low-density lipoprotein cholesterol (LDL-C) is an important factor in the development of cardiovascular disease, making its management a key aspect of cardiovascular health. While high-dose statin therapy is often recommended for LDL-C reduction, car...
Correlation Between Statin Use and Symptomatic Venous Thromboembolism Incidence in Patients With Ankle Fracture: A Machine Learning Approach.
Foot & ankle specialist
Oct 31, 2023
BACKGROUND: Identifying factors that correlate with the incidence of venous thromboembolism (VTE) has the potential to improve VTE prevention and positively influence decision-making regarding prophylaxis. In this study, we aimed to investigate the c...
Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.
Journal of the American Heart Association
Mar 28, 2023
Background Statins are guideline-recommended medications that reduce cardiovascular events in patients with diabetes. Yet, statin use is concerningly low in this high-risk population. Identifying reasons for statin nonuse, which are typically describ...
Using Machine Learning to Evaluate the Role of Microinflammation in Cardiovascular Events in Patients With Chronic Kidney Disease.
Frontiers in immunology
Jan 10, 2022
BACKGROUND: Lipid metabolism disorder, as one major complication in patients with chronic kidney disease (CKD), is tied to an increased risk for cardiovascular disease (CVD). Traditional lipid-lowering statins have been found to have limited benefit ...
Extracting Healthcare Quality Information from Unstructured Data.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Healthcare quality research is a fundamental task that involves assessing treatment patterns and measuring the associated patient outcomes to identify potential areas for improving healthcare. While both qualitative and quantitative approaches are us...
Correlation of compliance to statin therapy with lipid profile and serum HMGCoA reductase levels in dyslipidemic patients.
Indian heart journal
Aug 1, 2016
BACKGROUND: The efficacy of statin therapy may be lost or vary with reduction in compliance and intensity of statin therapy.
Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an initial need to complete data quali...
Effect of simvastatin on the SIRT2/NF-κB pathway in rats with acute pulmonary embolism.
Pharmaceutical biology
Dec 1, 2018
CONTEXT: Statins have been widely used in acute pulmonary embolism (APE), while simvastatin has been well-established for the prevention of pulmonary hypertension, which was supposed to be an attractive recommendation for APE treatment.
Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.
Journal of the American Heart Association
Nov 20, 2018
Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations Risk Calculator may underestimate risk of atherosclerotic cardiovascular disease ...
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