Suppr超能文献

易获取的药物信息是否有价值?一项关于增加跌倒风险的不良反应的病例对照研究。

Fall-risk-increasing adverse reactions-is there value in easily accessible drug information? A case-control study.

机构信息

Institute of Pharmacy, Department of Clinical Pharmacy and Drug Safety Center, Leipzig University and University Hospital of Leipzig, Bruederstraße 32, 04103, Leipzig, Germany.

Pharmacy Department, Military Hospital, Lesserstraße 180, 22049, Hamburg, Germany.

出版信息

Eur J Clin Pharmacol. 2019 Jun;75(6):849-857. doi: 10.1007/s00228-019-02628-x. Epub 2019 Feb 13.

Abstract

PURPOSE

The individual fall risk of a patient is often multifactorial. Polymedication contributes to an additional risk of fall-risk-increasing adverse reactions (FRIARs). Previous studies have not sufficiently investigated the complexity facing prescribers when balancing the therapeutic benefits of individual drugs against their potential fall risk.

METHODS

An expert panel identified drugs with FRIARs based on the Summary of Product Characteristics (SmPC). These FRIARs and other parameters (such as the total number of drugs, dosage, dose adjustments, and drug changes) were then analyzed for their impact on falls in a case-control study using logistic regression.

RESULTS

During a 1-year period, 112 (1%) of 11,481 hospital patients experienced at least one fall event. Complete data was available for evaluation from 87 of them (case group). We matched these patients to another 87 patients who had no fall events (control group). FRIAR drugs were more frequently prescribed in the case group (4.26 (Q25-Q75, 3.75-4.78) per patient; p = 0.033) than in the control group (3.48 (2.97-3.99)). Drugs with FRIARs (β = 0.137; p = 0.035) and the total number of FRIARs (β = 0.033; p = 0.031) increased the fall risk. The total number of drugs, dosage, dose adjustments, and drug changes showed no influence.

CONCLUSIONS

FRIARs were associated with a higher number of falls. To consider FRIARs offers a chance to address the complexity of the individual medication. This data can support future computerized physician order entries with clinical decision support.

摘要

目的

患者的个体跌倒风险通常是多因素的。药物的多重使用会增加跌倒风险增加的不良反应(FRIARs)的风险。以前的研究并没有充分调查医生在权衡药物的治疗效益和潜在跌倒风险时所面临的复杂性。

方法

一个专家小组根据产品特性摘要(SmPC)确定了具有 FRIARs 的药物。然后,使用逻辑回归分析这些 FRIARs 以及其他参数(如药物总数、剂量、剂量调整和药物变化)对病例对照研究中跌倒的影响。

结果

在一年期间,11481 名住院患者中有 112 人(1%)经历了至少一次跌倒事件。从其中 87 人(病例组)获得了完整的数据评估。我们将这些患者与另外 87 名没有跌倒事件的患者进行匹配(对照组)。病例组中 FRIAR 药物的处方更为频繁(4.26(25%至 75%,3.75-4.78)/患者;p=0.033)比对照组(3.48(2.97-3.99))。具有 FRIARs 的药物(β=0.137;p=0.035)和 FRIARs 的总数(β=0.033;p=0.031)增加了跌倒风险。药物总数、剂量、剂量调整和药物变化没有影响。

结论

FRIARs 与更多的跌倒有关。考虑 FRIARs 提供了一个解决个体药物复杂性的机会。这些数据可以支持未来具有临床决策支持的计算机化医嘱录入。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验