- Design
- Retrospective analysis of therapeutic drug monitoring and genotype data with mass-spectra reprocessing
- Population
- 2818 CYP2C19-genotyped patients on escitalopram in Norway, 445 with PPI use
- Primary outcome
- N-desmethylescitalopram to escitalopram ratio in ultrarapid vs poor metabolisers
- Effect
- 4.5-fold difference without PPI; 2.8-fold with pantoprazole; 1.8-fold with omeprazole/esomeprazole
A study in Clinical Pharmacology & Therapeutics, published on 14 October, reanalysed therapeutic drug monitoring samples from 2818 CYP2C19-genotyped patients on escitalopram in Oslo. Mass spectra were reprocessed to detect proton pump inhibitor (PPI) use, found in about 16%.
Without a PPI, ultrarapid metabolisers had a 4.5-fold higher metabolic ratio than poor metabolisers, as genotype predicts. With pantoprazole the gap shrank to 2.8-fold, and with omeprazole or esomeprazole to 1.8-fold. In other words, PPIs pushed fast metabolisers towards behaving like slow ones, a phenomenon called phenoconversion.
For prescribers, this means a CYP2C19 genotype result can mislead if the patient is also on a PPI, especially omeprazole or esomeprazole. Escitalopram exposure may be higher than the genotype suggests.
The study measured metabolism, not side effects or response, so the clinical consequence is inferred.
- Check for PPI use when interpreting a CYP2C19 genotype in a patient on escitalopram.
- Expect omeprazole and esomeprazole to inhibit CYP2C19 more than pantoprazole.
- Consider pantoprazole if a PPI is needed alongside a CYP2C19-dependent drug.
- Watch for dose-related effects, such as QT prolongation, when escitalopram exposure may be raised.
Why it matters
Genotype-guided prescribing can mislead when a common co-medication changes the phenotype.
The statistics, in plain English
A metabolic ratio compares metabolite with parent drug: higher means faster metabolism. The fall from a 4.5-fold to a 1.8-fold genotype difference with omeprazole or esomeprazole was not statistically significant in that subgroup (P = 0.2), likely because few patients were in it.
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