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丹麦普通人群与糖尿病患者中使用基于药物基因组学(PGx)给药指南的药物的多药使用情况比较。

Comparison of Multidrug Use in the General Population and among Persons with Diabetes in Denmark for Drugs Having Pharmacogenomics (PGx) Based Dosing Guidelines.

作者信息

Westergaard Niels, Tarnow Lise, Vermehren Charlotte

机构信息

Centre for Engineering and Science, Department of Biomedical Laboratory Science, University College Absalon, Parkvej 190, 4700 Naestved, Denmark.

Steno Diabetes Center, Birkevaenget 3, 3rd, 4300 Holbaek, Denmark.

出版信息

Pharmaceuticals (Basel). 2021 Sep 3;14(9):899. doi: 10.3390/ph14090899.

Abstract

BACKGROUND

This study measures the use of drugs within the therapeutic areas of antithrombotic 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-making 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 accounting for not only DDI but also DGI and phenoconversion in clinical decision-making, with a particular focus on persons with diabetes.

摘要

背景

本研究衡量丹麦普通人群(GP)与糖尿病患者相比,在抗血栓药物(B01)、心血管系统药物(C)、镇痛药(N02)、精神抑制药(N05)和精神兴奋药(N06)治疗领域内药物的使用情况。该研究聚焦于具有基于药物基因组学(PGx)的CYP2D6、CYP2C19和SLCO1B1给药指南的药物,以探索在考虑药物相互作用(DDI)和药物-基因相互作用(DGI)的情况下,将基于PGx的决策应用于临床实践的潜力。

方法

本研究为横断面研究,使用丹麦药品统计登记册作为检索药物消费数据的来源。

结果

与普通人群相比,糖尿病患者使用抗血栓药物(B01)和心血管药物(C)的患病率显著增加4至6倍,而镇痛药(N02)、精神抑制药和精神兴奋药(N06)的增加幅度略小(2至3倍)。普通人群和糖尿病患者中使用最多的五种PGx药物是泮托拉唑、辛伐他汀、阿托伐他汀、美托洛尔和曲马多。与普通人群相比,糖尿病患者使用所有测量的PGx药物的患病率(患病率比)平均增加2.9倍。此外,糖尿病患者使用PGx药物组合的患病率比普通人群高4.6倍。总之,本研究结果清楚地表明糖尿病患者中有很大一部分人接触到了具有基于CYP2D6、CYP2C19和SLCO1B1的PGx给药指南的药物或药物组合。这进一步支持了在临床决策中不仅要考虑DDI,还要考虑DGI和表型转化的观点,尤其要关注糖尿病患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/490a/8465155/5157cbff9939/pharmaceuticals-14-00899-g001.jpg

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