Bethi Yugandhar, Shewade Deepak Gopal, Dutta Tarun Kumar, Gitanjali Batmanabane
Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Department of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Eur J Hosp Pharm. 2018 Nov;25(6):317-321. doi: 10.1136/ejhpharm-2017-001272. Epub 2017 Jul 19.
Drug-drug interactions are a major source of adverse drug events (ADEs). Polypharmacy, age and the number of comorbid conditions are important predictors of adverse drug interactions. ADEs account for up to 5% of hospital admissions per year and an increase in the length of hospital stay.
To find the prevalence and predictors of potential drug-drug interactions (pDDIs) in patients admitted to the wards of an internal medicine department of a tertiary care hospital.
Patients admitted to internal medicine wards with prescriptions having more than one drug were selected. Demographic details including age, gender, number of comorbid conditions, number of drugs prescribed and the disease for which the patient was admitted were recorded in a case record form. Interactions were checked using Micromedex DrugReax software.
A total of 939 patients were recruited for this study based on inclusion criteria. 433 prescriptions (46%) had one or more pDDIs, with a range of 1-13 drug interactions per prescription. A total of 1395 drug interactions were found, with 866 moderate drug interactions (62%), 435 major interactions (31.1%) and 89 minor interactions (6.3%). During the study period only three contraindicated drug combinations (0.2%) were recorded. A significant association (p<0.01) was found between the number of pDDIs and predictors, age and number of drugs.
A total of 433 prescriptions (46%) had one or more pDDIs. Older patients and those prescribed >6 drugs are at major risk for occurrence of pDDIs. Moderate severity interactions were the highest number followed by major severity interactions.
药物相互作用是药物不良事件(ADEs)的主要来源。多重用药、年龄和共病情况的数量是药物不良相互作用的重要预测因素。药物不良事件每年占住院人数的5%,并导致住院时间延长。
确定三级护理医院内科病房住院患者中潜在药物相互作用(pDDIs)的发生率及预测因素。
选取内科病房中开具了一种以上药物处方的患者。在病例记录表中记录人口统计学细节,包括年龄、性别、共病情况数量、所开药物数量以及患者入院所患疾病。使用Micromedex DrugReax软件检查相互作用。
根据纳入标准,本研究共招募了939名患者。433份处方(46%)存在一种或多种潜在药物相互作用,每份处方的药物相互作用范围为1至13种。共发现1395次药物相互作用,其中866次为中度药物相互作用(62%),435次为重度相互作用(31.1%),89次为轻度相互作用(6.3%)。在研究期间,仅记录到三种禁忌药物组合(0.2%)。发现潜在药物相互作用的数量与预测因素、年龄和药物数量之间存在显著关联(p<0.01)。
共有433份处方(46%)存在一种或多种潜在药物相互作用。老年患者和开具超过6种药物的患者发生潜在药物相互作用的风险较高。中度严重程度的相互作用数量最多,其次是重度严重程度的相互作用。