药物不良事件风险因素的分类与关联分析

Categorization and association analysis of risk factors for adverse drug events.

作者信息

Zhou Lina, Rupa Anamika Paul

机构信息

University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.

出版信息

Eur J Clin Pharmacol. 2018 Apr;74(4):389-404. doi: 10.1007/s00228-017-2373-5. Epub 2017 Dec 8.

Abstract

PURPOSE

Adverse drug events (ADE) are among the leading causes of morbidity and hospitalization. This review analyzes risk factors for ADE, particularly their categorizations and association patterns, the prevalence, severity, and preventability of ADE, and method characteristics of reviewed studies.

METHODS

Literature search was conducted via PubMed, Science Direct, CINAHL, and MEDLINE. A review was conducted of research articles that reported original data about specific risk factors for ADE since 2000. Data analyses were performed using Excel and R.

RESULTS

We summarized 211 risk factors for ADE, and grouped them into five main categories: patient-, disease-, medication-, health service-, and genetics-related. Among them, medication- and disease-related risk factors were most frequently studied. We further classified risk factors within each main category into subtypes. Among them, polypharmacy, age, gender, central nervous system agents, comorbidity, service utilization, inappropriate use/change use of drugs, cardiovascular agents, and anti-infectives were most studied subtypes. An association analysis of risk factors uncovered many interesting patterns. The median prevalence, preventability, and severity rate of reported ADE was 19.5% (0.29%86.2%), 36.2% (2.63%91%), and 16% (0.01%~47.4%), respectively.

CONCLUSIONS

This review introduced new categories and subtypes of risk factors for ADE. The broad and in-depth coverage of risk factors and their association patterns elucidate the complexity of risk factor analysis. Managing risk factors for ADE is crucial for improving patient safety, particularly for the elderly, comorbid, and polypharmacy patients. Some under-explored risk factors such as genetics, mental health and wellness, education, lifestyle, and physical environment invite future research.

摘要

目的

药物不良事件(ADE)是发病和住院的主要原因之一。本综述分析了ADE的危险因素,特别是其分类和关联模式、ADE的患病率、严重程度和可预防性,以及所综述研究的方法特征。

方法

通过PubMed、Science Direct、CINAHL和MEDLINE进行文献检索。对2000年以来报告有关ADE特定危险因素原始数据的研究文章进行综述。使用Excel和R进行数据分析。

结果

我们总结了211个ADE的危险因素,并将它们分为五个主要类别:与患者、疾病、药物、医疗服务和遗传学相关的因素。其中,与药物和疾病相关的危险因素研究最为频繁。我们进一步将每个主要类别中的危险因素细分为子类型。其中,多重用药、年龄、性别、中枢神经系统药物、合并症、服务利用、药物使用不当/改变用药、心血管药物和抗感染药物是研究最多的子类型。危险因素的关联分析发现了许多有趣的模式。报告的ADE的中位患病率、可预防性和严重率分别为19.5%(0.29%86.2%)、36.2%(2.63%91%)和16%(0.01%~47.4%)。

结论

本综述介绍了ADE危险因素的新类别和子类型。对危险因素及其关联模式的广泛深入覆盖阐明了危险因素分析的复杂性。管理ADE的危险因素对于提高患者安全至关重要,特别是对于老年人、合并症患者和多重用药患者。一些尚未充分探索的危险因素,如遗传学、心理健康和健康状况、教育、生活方式和物理环境,有待未来研究。

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