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Utilization of Drugs with Pharmacogenetic Dosing Recommendations in Switzerland: A Descriptive Study Using the Helsana Database

Authors :
Wittwer NL
Meier CR
Huber CA
Meyer zu Schwabedissen HE
Allemann S
Schneider C
Source :
Pharmacogenomics and Personalized Medicine, Vol Volume 15, Pp 967-976 (2022)
Publication Year :
2022
Publisher :
Dove Medical Press, 2022.

Abstract

Nina L Wittwer,1,2 Christoph R Meier,1– 3 Carola A Huber,4 Henriette E Meyer zu Schwabedissen,1 Samuel Allemann,1,* Cornelia Schneider1,2,* 1Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland; 2Hospital Pharmacy, University Hospital Basel, Basel, Switzerland; 3Boston Collaborative Drug Surveillance Program, Lexington, MA, USA; 4Department of Health Sciences, Helsana Insurance Group, Zürich, Switzerland*These authors contributed equally to this workCorrespondence: Samuel Allemann, Pharmaceutical Care Research Group University of Basel, Department of Pharmaceutical Sciences, Klingelbergstrasse 50, Basel, 4056, Switzerland, Tel +41 61 207 61 76, Email s.allemann@unibas.chPurpose: In Switzerland 167 drugs on the market contain information about pharmacogenetics in their drug label (PGx drug). Preemptive pharmacogenetic testing is reimbursed by health care insurance for only seven drugs (abacavir, carbamazepine, 6-mercaptopurine, azathioprine, 5-fluorouracil, capecitabine, and irinotecan) although, it is proposed to be a cost-effective approach to personalized medicine. The aim of this study was to describe the use of PGx drugs and their corresponding genes in Switzerland.Methods: We identified 90 drugs with dosing recommendations from the Pharmacogenetic Knowledgebase involving 24 genes. We assessed the utilization of those drugs between 2016 and 2020, using claims data from a large Swiss insurance company (Helsana).Results: Of 841 491 persons with drug claims during the whole study period, 78.7% were exposed to PGx drugs. Ibuprofen, pantoprazole, and tramadol had the highest number of users. Seven genes (CYP2C19, CYP2C9, CYP2D6, SLCO1B1, HLA-B, MT-RNR1, and VKORC1) were responsible for over 95% of all potential drug-gene interactions.Conclusion: The prevalence of PGx drug prescriptions is high in the Swiss population. Therefore, intensified preemptive testing may be a useful option as a substantial amount of the Swiss population might benefit.Keywords: PGx, drug use, claims data, pharmacoepidemiology

Details

Language :
English
ISSN :
11787066
Volume :
ume 15
Database :
Directory of Open Access Journals
Journal :
Pharmacogenomics and Personalized Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.3703aa1f01e44ebb90e8c23542f2eeb6
Document Type :
article