Multidisciplinar Institute of Health, Federal University of Bahia, Vitória da Conquista, Brazil.
J Pharm Pharm Sci. 2009;12(3):266-72. doi: 10.18433/j35c7z.
To evaluate the prevalence of drug-drug interactions (DDI) in prescriptions of hospitalized patients and to identify risk factors associated.
A retrospective cross-sectional analysis of prescription data and medical records from a public hospital in Brazil was conducted to identify potential DDI. An inappropriate drug combination was identified and classified with a standard drug interaction source. The main diagnoses were classified with Charlson Comorbidity Index (CCI). Sex, age, polypharmacy and length of stay, among other variables, were correlated with the frequency of potential DDI.
The study included 589 patients and 3,585 prescriptions. Thirty-seven percent of the patients were exposed to at least one potential interaction during their stay in the hospital. The most frequent interacting pair was Digoxin+Furosemide (11%). In univariate analysis, several variables were associated with DDI, including sex, age, number of prescribed drugs, length and cost of hospitalization and CCI. Multivariate analysis showed that the adjusted odds of being prescribed a potential DDI among patients in polypharmacy was almost five-fold that of patients taking less than five drugs. Further, length of stay, CCI and cost of hospitalization were independently associated with DDI.
Analysis of prescription data found that a substantial number of potential DDI were identified. Results of this study indicate that DDI is associated with number of prescribed drugs, increased duration of stay in the hospital and cost, which suggest that DDI are a significant clinical and economic problem. Potential damage to patients could be avoided.
评估住院患者处方中药物-药物相互作用(DDI)的发生率,并确定相关的危险因素。
对巴西一家公立医院的处方数据和病历进行回顾性横断面分析,以确定潜在的药物相互作用。通过标准药物相互作用源识别和分类不适当的药物组合。主要诊断采用 Charlson 合并症指数(CCI)进行分类。性别、年龄、多种药物治疗和住院时间等变量与潜在药物相互作用的频率相关。
该研究纳入了 589 名患者和 3585 张处方。37%的患者在住院期间至少接触过一种潜在的相互作用。最常见的相互作用对是地高辛+呋塞米(11%)。在单因素分析中,性别、年龄、开处方药物的数量、住院时间和费用以及 CCI 等多个变量与 DDI 相关。多因素分析显示,接受多种药物治疗的患者发生潜在药物相互作用的调整后比值比为接受少于五种药物治疗的患者的近五倍。此外,住院时间、CCI 和住院费用与 DDI 独立相关。
处方数据分析发现,大量潜在的药物相互作用被确定。本研究结果表明,DDI 与开处方药物的数量、住院时间延长和费用增加有关,这表明 DDI 是一个重大的临床和经济问题。可以避免对患者造成潜在损害。