Effectiveness and Safety of Enteric-Coated vs Uncoated Aspirin in Patients With Cardiovascular Disease: A Secondary Analysis of the ADAPTABLE Randomized Clinical Trial
Abstract
Importance: Clinicians recommend enteric-coated aspirin to decrease gastrointestinal bleeding in secondary prevention of coronary artery disease even though studies suggest platelet inhibition is decreased with enteric-coated vs uncoated aspirin formulations.
Objective: To assess whether receipt of enteric-coated vs uncoated aspirin is associated with effectiveness or safety outcomes.
Design, setting, and participants: This is a post hoc secondary analysis of ADAPTABLE (Aspirin Dosing: A Patient-Centric Trial Assessing Benefits and Long-term Effectiveness), a pragmatic study of 15 076 patients with atherosclerotic cardiovascular disease having data in the National Patient-Centered Clinical Research Network. Patients were enrolled from April 19, 2016, through June 30, 2020, and randomly assigned to receive high (325 mg) vs low (81 mg) doses of daily aspirin. The present analysis assessed the effectiveness and safety of enteric-coated vs uncoated aspirin among those participants who reported aspirin formulation at baseline. Data were analyzed from November 11, 2019, to July 3, 2023.
Intervention: ADAPTABLE participants were regrouped according to aspirin formulation self-reported at baseline, with a median (IQR) follow-up of 26.2 (19.8-35.4) months.
Main outcomes and measures: The primary effectiveness end point was the cumulative incidence of the composite of myocardial infarction, stroke, or death from any cause, and the primary safety end point was major bleeding events…
How strong is the evidence?
Evidence Hub reads this as a secondary / pooled analysis, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 7,285 participants or records.
Read the paper
Related studies
- The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks
- Promising Ursolic Acid as a Novel Antituberculosis Agent: Current Progress and Challenges
- Proof of principle concept for the analysis and functional prediction of rare genetic variants in the CYP2C19 and CYP2D6 genes
- Fabrication, characterization, and docking studies of furosemide-loaded nanosponges using the emulsion solvent diffusion method
- The Effect of Concomitant Administration of Proton Pump Inhibitors on the Pharmacokinetics of CDK4/6 Inhibitors in Rats: Implications for the Evaluation of Hepatic and Transporter-Mediated Drug–Drug Interactions
- Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.