Proton pump inhibitors and cardiovascular risk: a critical review
Abstract
Proton pump inhibitors (PPI) are widely used medications for gastrointestinal disorders. Recent research suggests a potential association between long-term PPI use and increased cardiovascular (CV) risk, creating a complex clinical dilemma. This review critically evaluates the current evidence for this association, considering the limitations of observational studies and the lack of definitive confirmation from randomized controlled trials.This review delves into the reported association between PPIs and adverse CV events, examining proposed mechanisms such as drug interactions, electrolyte imbalances induced by PPIs and their potential impact on cardiac and vascular function. Evidence suggests these mechanisms converge, with varying influence depending on patient populations.Clinicians require a risk-benefit analysis for each patient considering their CV risk profile. Alternative gastrointestinal therapies should be explored for high-bleeding risk patients. Medications with lower cytochrome-P450 interaction potential may be preferable among essential PPI users. Elucidating the specific mechanisms by which PPIs might influence CV health, assessing long-term vascular effects and investigating interactions with newer anticoagulant medications are crucial for future research.
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.