Citations

Objective: Our study aimed to assess the impact of pharmacogenomic panel testing in people with HIV (PWH). Design: Prospective, observational intervention assessment Methods: One hundred PWH were provided a comprehensive pharmacogenomic panel during routine care visits within the HIV specialty clinic of a large academic medical center. The panel determined the presence of specific genetic variants that could predict response or toxicity to commonly prescribed antiretroviral therapy (ART) and non-ART medications. An HIV specialty pharmacist reviewed the results with participants and the care team. The pharmacist (1) recommended clinically actionable interventions based on the participants’ current drug therapy, (2) assessed for genetic explanations for prior medication failures, adverse effects, or intolerances, and (3) advised on potential future clinically actionable care interventions based on individual genetic phenotypes. Results: Ninety-six participants (median age 53 years, 74% white, 84% men, 89% viral load <50 copies/ml) completed panel testing, yielding 682 clinically relevant pharmacogenomic results (133 major, 549 mild–moderate). Ninety participants (89 on ART) completed follow-up visits with 65 (72%) receiving clinical recommendations based on current medication profiles. Of the 105 clinical recommendations, 70% advised additional monitoring for efficacy or toxicity, and 10% advised alteration of drug therapy. Panel results offered explanation for prior ART inefficacy in one participant and ART intolerance in 29%. Genetic explanation for non-ART toxicity was seen in 21% of participants, with genetic contributors to inefficacy of non-ART therapy identified in 39% of participants. Conclusion: Preliminary data in a small cohort of PWH demonstrates benefit of routine pharmacogenomic panel testing.

AbstractSolid organ transplant recipients are reliant on immunosuppressive drugs, which have a narrow therapeutic index, and are concurrently vulnerable to adverse drug events due to comorbidity burden and the complexity of their medication regimens. Urgent management of post‐transplant complications often falls to the generalist clinician or critical care specialist. The purpose of this narrative review is to discuss innovations and bedside applications of pharmacogenomics and therapeutic drug monitoring applied to immunosuppression and agents frequently encountered in transplant recipients. Medication formulations will be given specific attention, as interchange is frequently required in the acute care setting. Bioassays quantifying immune system activity will be described with practical applications. A structured approach to addressing drug–drug, drug‐gene, and drug–drug‐gene interactions will be modeled using a case‐based approach synthesizing pharmacogenomics, therapeutic drug monitoring, pharmacokinetics, and pharmacodynamic principles.

Drug interactions are common and can affect patient outcomes. Drugs that undergo emergency approval have less preapproval drug testing to identify potential interactions. Tramadol is an effective pain medication prodrug with a complex mechanism of action that requires extensive metabolism. Remdesivir is an antiviral medication given emergency approval to treat hospitalized patients with COVID-19 infections. Remdesivir is also a nucleotide analogue prodrug that undergoes intracellular metabolic conversions to its active metabolite. We discuss the case of a hospitalized patient in the United States diagnosed with COVID-19 pneumonia who developed acute pain crisis secondary to a drug–drug interaction between tramadol and remdesivir, and we propose a possible mechanism of interaction.

Abstract Pharmacogenomics (PGx) clinical decision support integrated into the electronic health record (EHR) has the potential to provide relevant knowledge to clinicians to enable individualized care. However, past experience implementing PGx clinical decision support into multiple EHR platforms has identified important clinical, procedural, and technical challenges. Commercial EHRs have been widely criticized for the lack of readiness to implement precision medicine. Herein, we share our experiences and lessons learned implementing new EHR functionality charting PGx phenotypes in a unique repository, genomic indicators, instead of using the problem or allergy list. The Gen-Ind has additional features including a brief description of the clinical impact, a hyperlink to the original laboratory report, and links to additional educational resources. The automatic generation of genomic indicators from interfaced PGx test results facilitates implementation and long-term maintenance of PGx data in the EHR and can be used as criteria for synchronous and asynchronous CDS.