Use of drugs with pharmacogenomics (PGx)-based dosing guidelines in a Danish cohort of persons with chronic kidney disease, both on dialysis and not on dialysis: Perspectives for prescribing optimization

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Aim: The objective of this registry study is to assess the utilization of pharmacogenomic (PGx) drugs among patients with chronic kidney disease (CKD). Methods: This study was a retrospective study of patients affiliated with the Department of Nephrology, Aalborg University Hospital, Denmark in 2021. Patients diagnosed with CKD were divided into CKD without dialysis and CKD with dialysis. PGx prescription drugs were retrieved from the Patient Administration System. Actionable dosing guidelines (AG) for specific drug–gene pairs for CYP2D6, CYP2C9, CYP2C19 and SLCO1B1 were retrieved from the PharmGKB homepage. Results: Out of 1241 individuals, 25.5% were on dialysis. The median number of medications for each patient was 9 within the non-dialysis group and 16 within the dialysis group. Thirty-one distinct PGx drugs were prescribed. Altogether, 76.0% (943 individuals) were prescribed at least one PGx drug and the prevalence of prescriptions of PGx drugs was higher in the dialysis group compared to the non-dialysis group. The most frequently prescribed drugs with AG were metoprolol, pantoprazole, atorvastatin, simvastatin and warfarin. Conclusion: This study demonstrated that a substantial proportion of patients with CKD are exposed to drugs or drug combinations for which there exists AG related to PGx of CYP2D6, CYP2C19, CYP2C9 and SLCO1B1.

Original languageEnglish
JournalBasic and Clinical Pharmacology and Toxicology
Volume134
Issue number4
Pages (from-to)531-542
ISSN1742-7835
DOIs
Publication statusPublished - 2024

Bibliographical note

Funding information: Morten Baltzer Houlind was supported personally by postdoctoral fellowships from the Capital Region's Research Foundation for Health Research (grant A6882 and A7140) and the BRIDGE Translational Excellence Program at the Faculty of Health and Medical Sciences, University of Copenhagen, Denmark (grant NNF20SA0064340).

    Research areas

  • chronic kidney disease, dialysis, drug use, drug–gene interactions, pharmacogenomics, polypharmacy

ID: 382850549