Ranković Anica, Milentijevic Iva, Jankovic Slobodan
Pharmacology and Toxicology Department, University of Kragujevac Faculty of Medicine, Kragujevac, Serbia
Department of Psychiatry, University of Kragujevac Faculty of Medicine, Kragujevac, Serbia.
Eur J Hosp Pharm. 2024 Feb 22;31(2):127-134. doi: 10.1136/ejhpharm-2022-003262.
The aim of this study was to investigate the prevalence and severity of potential drug-drug interactions (pDDIs) in hospitalised patients with major psychiatric disorders and to identify factors associated with their occurrence.
The research was designed as an observational, cross-sectional study conducted at the Clinic for Mental Disorders (CMD) 'Dr. Laza Lazarevic', Belgrade, Serbia. Medscape, Epocrates and Lexicomp bases were used to detect potential drug interactions among inpatients. Multivariate regression analysis was used to reveal risk and protective factors associated with the number of pDDIs.
The study included 511 patients, average age 44.63±11.81 years. The average number of pDDIs per patient ranged from 5.9±4.7 (Medscape) to 8.2±5.4 (Epocrates) and 8.5±5.1 (Lexicomp). The following risk factors were identified by all three interaction checkers used: C-reactive protein, number of pharmacological subgroups, number of prescribed drugs, antibiotics, antacids, vitamins, number of associated comorbidities, route, form and dose of the drug.
When making clinical decisions to reduce drug problems, including DDIs, one should consult several interaction databases, which should be reviewed by a multidisciplinary team consisting of an experienced clinical pharmacist, physician, nurse, and so on.
本研究旨在调查重度精神障碍住院患者中潜在药物相互作用(pDDIs)的发生率和严重程度,并确定与其发生相关的因素。
该研究设计为在塞尔维亚贝尔格莱德“拉扎尔·拉扎列维奇博士”精神障碍诊所进行的一项观察性横断面研究。使用Medscape、Epocrates和Lexicomp数据库检测住院患者中的潜在药物相互作用。采用多变量回归分析揭示与pDDIs数量相关的风险和保护因素。
该研究纳入了511例患者,平均年龄44.63±11.81岁。每位患者的pDDIs平均数量在5.9±4.7(Medscape)至8.2±5.4(Epocrates)以及8.5±5.1(Lexicomp)之间。所有三种相互作用检查工具均识别出以下风险因素:C反应蛋白、药理亚组数量、处方药数量、抗生素、抗酸剂、维生素、合并症数量、药物的给药途径、剂型和剂量。
在做出减少包括药物相互作用在内的药物问题的临床决策时,应参考多个相互作用数据库,应由经验丰富的临床药师、医生、护士等组成的多学科团队对这些数据库进行审查。