Browsing by Subject "INGENIOUS"

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    Drug–gene and drug–drug interactions associated with tramadol and codeine therapy in the INGENIOUS trial
    (Future Medicine, 2019-04) Fulton, Cathy R.; Zang, Yong; Desta, Zeruesenay; Rosenman, Marc B.; Holmes, Ann M.; Decker, Brian S.; Zhang, Yifei; Callaghan, John T.; Pratt, Victoria M.; Levy, Kenneth D.; Gufford, Brandon T.; Dexter, Paul R.; Skaar, Todd C.; Eadon, Michael T.; Medicine, School of Medicine
    Background: Tramadol and codeine are metabolized by CYP2D6 and are subject to drug-gene and drug-drug interactions. Methods: This interim analysis examined prescribing behavior and efficacy in 102 individuals prescribed tramadol or codeine while receiving pharmaco-genotyping as part of the INGENIOUS trial (NCT02297126). Results: Within 60 days of receiving tramadol or codeine, clinicians more frequently prescribed an alternative opioid in ultrarapid and poor metabolizers (odds ratio: 19.0; 95% CI: 2.8-160.4) as compared with normal or indeterminate metabolizers (p = 0.01). After adjusting the CYP2D6 activity score for drug-drug interactions, uncontrolled pain was reported more frequently in individuals with reduced CYP2D6 activity (odds ratio: 0.50; 95% CI: 0.25-0.94). Conclusion: Phenoconversion for drug-drug and drug-gene interactions is an important consideration in pharmacogenomic implementation; drug-drug interactions may obscure the potential benefits of genotyping.
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    Pharmacogenetics and Practice: Tailoring Prescribing for Safety and Effectiveness
    (Elsevier, 2018) Fulton, Cathy R.; Swart, Marelize; De Luca, Thomas; Liu, Stephanie N.; Collins, Kimberly S.; Desta, Zeruesenay; Gufford, Brandon T.; Eadon, Michael T.; Medicine, School of Medicine
    The promise of pharmacogenomics testing, to find the right medication at the right dose for the right patient at the right time, sits at the heart of precision medicine. Identifying genetic variants that contribute to inter-patient variability in drug disposition and effect allows clinicians to select a more appropriate medication for a patient’s condition by limiting adverse drug events and maximizing beneficial effects. However, as pharmacogenomics is increasingly integrated into prevention-based healthcare, a major obstacle to effective implementation of pharmacogenomics testing is the lack of adequate knowledge of healthcare providers on interpretation of these test results.