Potential drug–drug interactions of frequently prescribed medications in long COVID detected by two electronic databases

Author:

Meakleartmongkol Theejutha,Tangpanithandee SupawitORCID,Vanavivit Natcha,Jiso Apisada,Pongchaikul Pisut,Kirdlarp SuppachokORCID,Khemawoot PhisitORCID,Nathisuwan SurakitORCID

Abstract

Infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leads to a wide range of acute and chronic complications including long COVID, a well-known chronic sequela. Long COVID often necessitates long-term treatment, which may lead to an increased potential for drug–drug interactions (DDIs). The objective of this study was to assess potential DDIs among frequently prescribed medications in long COVID by using two electronic databases. Sixty frequently prescribed agents were selected from Thailand’s National List of Essential Medicine 2022 for potential DDI analysis by Micromedex and Drugs.com. From these databases, 488 potential DDIs were identified. There were 271 and 434 DDI pairs based on Micromedex and Drugs.com, respectively. Among these DDIs, 77 pairs were labeled as contraindicated or major by both databases. The most common mechanisms for these serious interactions are cytochrome P450 (CYP) inhibition (45%), CYP induction (19%), and QT interval prolongation (7.8%). Based on Fleiss’ kappa (0.073), there was only slight agreement of the DDI severity classifications between these two databases. In conclusion, a large number of potential DDIs were detected among frequently prescribed medications for long COVID. Health care providers should be aware of these DDIs, particularly those that are deemed as contraindicated or major. These DDIs are most likely to cause significant adverse events in patients with long COVID because polypharmacy is common.

Funder

Faculty of Medicine Ramathibodi Hospital, Mahidol University

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference31 articles.

1. World Health Organization. Origin of SARS-CoV-2 [Internet]. [cited 2022 Aug 13]. https://apps.who.int/iris/bitstream/handle/10665/332197/WHO-2019-nCoV-FAQ-Virus_origin-2020.1-eng.pdf

2. World Health Organization WHO Coronavirus (COVID-19) Dashboard [Internet]. [cited 2023 August 7]. https://covid19.who.int/

3. National Health Service. Symptoms of coronavirus (COVID-19) [Internet]. [cited 2022 Aug 13]. https://www.nhs.uk/conditions/coronavirus-covid-19/symptoms/main-symptoms/

4. National Health Service. Long-term effects of coronavirus (long COVID) [Internet]. [cited 2022 Aug 13]. https://www.nhs.uk/conditions/coronavirus-covid-19/long-term-effects-of-coronavirus-long-covid/

5. Global prevalence of post-coronavirus disease 2019 (COVID-19) condition or long COVID: a meta-analysis and systematic review;C Chen;J Infect Dis,2022

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3