Proton Pump Inhibitor Usage and the Risk of Myocardial Infarction in the General Population

Proton pump inhibitors (PPIs) have been associated with adverse clinical outcomes amongst clopidogrel users after an acute coronary syndrome. Recent pre-clinical results suggest that this risk might extend to subjects without any prior history of cardiovascular disease. We explore this potential ris...

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Published inPloS one Vol. 10; no. 6; p. e0124653
Main Authors Shah, Nigam H, LePendu, Paea, Bauer-Mehren, Anna, Ghebremariam, Yohannes T, Iyer, Srinivasan V, Marcus, Jake, Nead, Kevin T, Cooke, John P, Leeper, Nicholas J
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 10.06.2015
Public Library of Science (PLoS)
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Summary:Proton pump inhibitors (PPIs) have been associated with adverse clinical outcomes amongst clopidogrel users after an acute coronary syndrome. Recent pre-clinical results suggest that this risk might extend to subjects without any prior history of cardiovascular disease. We explore this potential risk in the general population via data-mining approaches. Using a novel approach for mining clinical data for pharmacovigilance, we queried over 16 million clinical documents on 2.9 million individuals to examine whether PPI usage was associated with cardiovascular risk in the general population. In multiple data sources, we found gastroesophageal reflux disease (GERD) patients exposed to PPIs to have a 1.16 fold increased association (95% CI 1.09-1.24) with myocardial infarction (MI). Survival analysis in a prospective cohort found a two-fold (HR = 2.00; 95% CI 1.07-3.78; P = 0.031) increase in association with cardiovascular mortality. We found that this association exists regardless of clopidogrel use. We also found that H2 blockers, an alternate treatment for GERD, were not associated with increased cardiovascular risk; had they been in place, such pharmacovigilance algorithms could have flagged this risk as early as the year 2000. Consistent with our pre-clinical findings that PPIs may adversely impact vascular function, our data-mining study supports the association of PPI exposure with risk for MI in the general population. These data provide an example of how a combination of experimental studies and data-mining approaches can be applied to prioritize drug safety signals for further investigation.
Bibliography:Competing Interests: PL, ABM, SVI, and NHS are inventors on technology disclosures and/or patents, name: Methods for Ontology based Analytics and numbers: US13/273,038, US13/420,402, US13/424,375, and US13/424,376, owned by Stanford University, that enable the use of clinical text for data-mining. JPC and YTG are inventors on patents titled: Dimethylarginine Dimethylaminohydrolase Inhibitors and Methods of Use Thereof and number: US13/766,336, owned by Stanford University, that protect the use of agents that therapeutically modulate the DDAH/NOS pathway. YTG and JPC are also founders of Altitude Pharma, Inc., a biotechnology Company that is developing PPI-based products for airway diseases. Apixio, Inc. partly funded this study. JM is an employee of Practice Fusion, Inc., which owns inventions by JM. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
Conceived and designed the experiments: NHS JPC NJL PL ABM SVI. Performed the experiments: YTG. Analyzed the data: JM KTN. Contributed reagents/materials/analysis tools: PL ABM SVI. Wrote the paper: NHS PL NJL. Participated in the editing of the manuscript: NHS PL ABM YTG SVI JM KTN JPC NJL.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0124653