Suppr超能文献

药物使用调查以确定重要的药物-药物相互作用,并评估三级护理医院门诊环境中的临床重要性。

Drug use survey to identify significant drug-drug interactions and assess clinical importance in the outpatient setting of a tertiary care hospital.

机构信息

Department of Pharmacology, R G Kar Medical College, Kolkata, India.

Department of Pharmacology, IPGME and R, Kolkata, India.

出版信息

Indian J Pharmacol. 2024 May 1;56(3):172-177. doi: 10.4103/ijp.ijp_483_23. Epub 2024 Jul 5.

Abstract

OBJECTIVES

Drug-drug interactions (DDIs) are a common problem in pharmacotherapy, particularly in situations where multiple disorders must be treated at the same time. We conducted a drug use survey in the general medicine outpatient department of a tertiary care hospital with the objective of assessing the potential for DDI in individual prescriptions for adult patients.

MATERIALS AND METHODS

Drugs prescribed in the current physician-patient encounter were considered in conjunction with medicines already being received by the patient as well as those discontinued in the past 1 month. Free online DDI checkers (available at https://www.drugs.com/drug_interactions.html and https://reference.medscape.com/) were used to identify potential DDI and categorize them into mild, moderate, and severe categories. We did not consider food, alcohol, or smoking-related interactions.

RESULTS

A total of 153 prescriptions, having two or more drugs, were collected, and they accounted for 1052 prescribed drugs. Among them, 613 (58.27%) were prescribed in index visits, and the rest 438 (41.63%) were preexisting medication. The number of drugs prescribed in index visits ranged from 1 to 9 (mean ± standard deviation [SD] 4.0 ± 1.86; median 4). Potential DDIs were identified in 103 (67.32%) instances. The total number of interactions identified was 412. Of these, 19.66% had minor, 77.67% moderate, and 7.19% major clinical implications. Potential DDI count in each prescription was found from 0 to 13 in number (mean ± SD 2.7 ± 3.12; median 2.0). This number correlated strongly with the number of drugs being received by individual subjects (Rho 0.744; P < 0.001).

CONCLUSIONS

Potential DDIs are a reality in day to day prescribing practice. Substantial proportion of these DDIs may have significant clinical implications. Prescribers need to be sensitized to this issue. Combining human expertise with technological solutions such as automated drug interaction alerts can help rectify the situation. Similar surveys are needed on a periodic basis to improve medication safety for patients.

摘要

目的

药物-药物相互作用(DDI)是药物治疗中的常见问题,尤其是在同时治疗多种疾病的情况下。我们在一家三级医院的普通内科门诊进行了一项药物使用调查,旨在评估成人患者个体处方中的 DDI 潜在风险。

材料与方法

将当前医患接触中开出的药物与患者正在服用的药物以及过去 1 个月内停用的药物结合起来考虑。我们使用了免费的在线 DDI 检查器(可在 https://www.drugs.com/drug_interactions.htmlhttps://reference.medscape.com/ 上获得)来识别潜在的 DDI,并将其分为轻度、中度和重度类别。我们没有考虑食物、酒精或吸烟相关的相互作用。

结果

共收集了 153 份有两种或两种以上药物的处方,共计 1052 种处方药物。其中,613 种(58.27%)在就诊时开具,其余 438 种(41.63%)为预先存在的药物。就诊时开具的药物数量从 1 种到 9 种不等(均值±标准差 4.0±1.86;中位数 4)。在 103 例(67.32%)中发现了潜在的 DDI。共确定了 412 个相互作用。其中,19.66%为轻度,77.67%为中度,7.19%为重度,有临床意义。在每个处方中发现潜在 DDI 的数量从 0 到 13 不等(均值±标准差 2.7±3.12;中位数 2.0)。这个数字与个体接受的药物数量密切相关(Rho 0.744;P<0.001)。

结论

潜在的 DDI 在日常处方实践中是一个现实问题。其中相当一部分 DDI 可能具有显著的临床意义。需要让医生对此问题保持敏感。将人工专业知识与自动化药物相互作用警报等技术解决方案相结合,可以帮助纠正这种情况。需要定期进行类似的调查,以提高患者的用药安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/525f/11286091/fe75d1e0badb/IJPharm-56-172-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验