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Identification of the Components of Proton Pump Inhibitors and Potassium-Competitive Acid Blocker That Lead to Cardiovascular Events in Working-Age Individuals: A 12-Month Retrospective Cohort Study Using a Large Claims Database

Ayako Watanabe, K. Momo, Katsumi Tanaka, Takeshi Uchikura, Y. Kiryu, Kanami Niiyama, Norihisa Kodaira, Airi Matsuzaki et al.

Biological and Pharmaceutical Bulletin, 2022

Abstract

This study aimed to identify the components of proton pump inhibitors (PPIs) or potassium-competitive acid blocker (PCAB) that lead to cardiovascular events in individuals of working age. We analyzed large claims data of individuals who were administered PPIs or PCAB. We enrolled working-age individuals administered PPI or PCAB without cardiovascular history with a 12-month screening and 12-month observation period and determined the proportion of cardiovascular events and the predictive factors of cardiovascular events in this population. Among the eligible individuals, 0.5% (456/91098) had cardiovascular events during the 12-month observation period. Predictive factors for cardiovascular events were age for +1 year (p < 0.0001), male sex (p < 0.0001), hypertension (p = 0.0056), and diabetes mellitus (p < 0.0001). The cardiovascular disease risk was higher in working-age individuals administered lansoprazole than in those administered other drugs (vs. rabeprazole; p = 0.0002, vs. omeprazole; p = 0.0046, vs. vonoprazan; p < 0.0001, and vs. esomeprazole; p < 0.0001). We identified the risk for cardiovascular events in individuals being treated with lansoprazole. Lansoprazole is known for its higher CYP2C19 inhibition activity compared with other PPIs or PCAB. A possible mechanism by which lansoprazole may lead to cardiovascular events is inhibiting the generation of epoxyeicosatrienoic acids from arachidonic acids, an intrinsic cardioprotective activator via CYP2C19…

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Evidence Hub reads this as a cohort study, 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.

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