Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines

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Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines. / Westergaard, Niels; Tarnow, Lise; Vermehren, Charlotte.

In: Pharmaceuticals, Vol. 14, No. 9, 899, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Westergaard, N, Tarnow, L & Vermehren, C 2021, 'Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines', Pharmaceuticals, vol. 14, no. 9, 899. https://doi.org/10.3390/ph14090899

APA

Westergaard, N., Tarnow, L., & Vermehren, C. (2021). Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines. Pharmaceuticals, 14(9), [899]. https://doi.org/10.3390/ph14090899

Vancouver

Westergaard N, Tarnow L, Vermehren C. Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines. Pharmaceuticals. 2021;14(9). 899. https://doi.org/10.3390/ph14090899

Author

Westergaard, Niels ; Tarnow, Lise ; Vermehren, Charlotte. / Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines. In: Pharmaceuticals. 2021 ; Vol. 14, No. 9.

Bibtex

@article{c038b602ef154f7e89f6b176f7fd7594,
title = "Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines",
abstract = "Background: This study measures the use of drugs within the therapeutic areas of an-tithrombotic agents (B01), the cardiovascular system (C), analgesics (N02), psycholeptics (N05), and psychoanaleptics (N06) among the general population (GP) in comparison to persons with diabetes in Denmark. The study focuses on drugs having pharmacogenomics (PGx) based dosing guidelines for CYP2D6, CYP2C19, and SLCO1B1 to explore the potential of applying PGx‐based decision‐mak-ing into clinical practice taking drug–drug interactions (DDI) and drug–gene interactions (DGI) into account. Methods: This study is cross‐sectional, using The Danish Register of Medicinal Product Statistics as the source to retrieve drug consumption data. Results: The prevalence of use in particular for antithrombotic agents (B01) and cardiovascular drugs (C) increases significantly by 4 to 6 times for diabetic users compared to the GP, whereas the increase for analgesics (N02), psycoleptics, and psychoanaleptics (N06) was somewhat less (2–3 times). The five most used PGx drugs, both in the GP and among persons with diabetes, were pantoprazole, simvastatin, atorvastatin, metoprolol, and tramadol. The prevalence of use for persons with diabetes compared to the GP (prevalence ratio) increased by an average factor of 2.9 for all PGx drugs measured. In addition, the prevalence of use of combinations of PGx drugs was 4.6 times higher for persons with diabetes compared to GP. In conclusion, the findings of this study clearly show that a large fraction of persons with diabetes are exposed to drugs or drug combinations for which there exist PGx‐based dosing guidelines related to CYP2D6, CYP2C19, and SLCO1B1. This further supports the notion of accessing and ac-counting for not only DDI but also DGI and phenoconversion in clinical decision‐making, with a particular focus on persons with diabetes.",
keywords = "Cytochrome P450, Drug interaction checkers, Drug–drug interactions, Drug–gene interactions, Persons with diabetes, Pharmacogenomics, Polypharmacy, SLCO1B1",
author = "Niels Westergaard and Lise Tarnow and Charlotte Vermehren",
note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
doi = "10.3390/ph14090899",
language = "English",
volume = "14",
journal = "Pharmaceuticals",
issn = "1424-8247",
publisher = "M D P I AG",
number = "9",

}

RIS

TY - JOUR

T1 - Comparison of multidrug use in the general population and among persons with diabetes in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines

AU - Westergaard, Niels

AU - Tarnow, Lise

AU - Vermehren, Charlotte

N1 - Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021

Y1 - 2021

N2 - Background: This study measures the use of drugs within the therapeutic areas of an-tithrombotic agents (B01), the cardiovascular system (C), analgesics (N02), psycholeptics (N05), and psychoanaleptics (N06) among the general population (GP) in comparison to persons with diabetes in Denmark. The study focuses on drugs having pharmacogenomics (PGx) based dosing guidelines for CYP2D6, CYP2C19, and SLCO1B1 to explore the potential of applying PGx‐based decision‐mak-ing into clinical practice taking drug–drug interactions (DDI) and drug–gene interactions (DGI) into account. Methods: This study is cross‐sectional, using The Danish Register of Medicinal Product Statistics as the source to retrieve drug consumption data. Results: The prevalence of use in particular for antithrombotic agents (B01) and cardiovascular drugs (C) increases significantly by 4 to 6 times for diabetic users compared to the GP, whereas the increase for analgesics (N02), psycoleptics, and psychoanaleptics (N06) was somewhat less (2–3 times). The five most used PGx drugs, both in the GP and among persons with diabetes, were pantoprazole, simvastatin, atorvastatin, metoprolol, and tramadol. The prevalence of use for persons with diabetes compared to the GP (prevalence ratio) increased by an average factor of 2.9 for all PGx drugs measured. In addition, the prevalence of use of combinations of PGx drugs was 4.6 times higher for persons with diabetes compared to GP. In conclusion, the findings of this study clearly show that a large fraction of persons with diabetes are exposed to drugs or drug combinations for which there exist PGx‐based dosing guidelines related to CYP2D6, CYP2C19, and SLCO1B1. This further supports the notion of accessing and ac-counting for not only DDI but also DGI and phenoconversion in clinical decision‐making, with a particular focus on persons with diabetes.

AB - Background: This study measures the use of drugs within the therapeutic areas of an-tithrombotic agents (B01), the cardiovascular system (C), analgesics (N02), psycholeptics (N05), and psychoanaleptics (N06) among the general population (GP) in comparison to persons with diabetes in Denmark. The study focuses on drugs having pharmacogenomics (PGx) based dosing guidelines for CYP2D6, CYP2C19, and SLCO1B1 to explore the potential of applying PGx‐based decision‐mak-ing into clinical practice taking drug–drug interactions (DDI) and drug–gene interactions (DGI) into account. Methods: This study is cross‐sectional, using The Danish Register of Medicinal Product Statistics as the source to retrieve drug consumption data. Results: The prevalence of use in particular for antithrombotic agents (B01) and cardiovascular drugs (C) increases significantly by 4 to 6 times for diabetic users compared to the GP, whereas the increase for analgesics (N02), psycoleptics, and psychoanaleptics (N06) was somewhat less (2–3 times). The five most used PGx drugs, both in the GP and among persons with diabetes, were pantoprazole, simvastatin, atorvastatin, metoprolol, and tramadol. The prevalence of use for persons with diabetes compared to the GP (prevalence ratio) increased by an average factor of 2.9 for all PGx drugs measured. In addition, the prevalence of use of combinations of PGx drugs was 4.6 times higher for persons with diabetes compared to GP. In conclusion, the findings of this study clearly show that a large fraction of persons with diabetes are exposed to drugs or drug combinations for which there exist PGx‐based dosing guidelines related to CYP2D6, CYP2C19, and SLCO1B1. This further supports the notion of accessing and ac-counting for not only DDI but also DGI and phenoconversion in clinical decision‐making, with a particular focus on persons with diabetes.

KW - Cytochrome P450

KW - Drug interaction checkers

KW - Drug–drug interactions

KW - Drug–gene interactions

KW - Persons with diabetes

KW - Pharmacogenomics

KW - Polypharmacy

KW - SLCO1B1

U2 - 10.3390/ph14090899

DO - 10.3390/ph14090899

M3 - Journal article

C2 - 34577599

AN - SCOPUS:85115031307

VL - 14

JO - Pharmaceuticals

JF - Pharmaceuticals

SN - 1424-8247

IS - 9

M1 - 899

ER -

ID: 283215463