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.
I: Pharmaceuticals, Bind 14, Nr. 9, 899, 2021.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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