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药物不良反应与住院:利用英国初级保健和医院数据进行的 65-100 岁患者大型病例对照研究。

Adverse drug reactions and hospital admissions: Large case-control study of patients aged 65-100 years using linked English primary care and hospital data.

机构信息

Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.

Centre for Drug Safety Science, Institute of Systems, Molecular and Integrative Biology (ISMIB) University of Liverpool Block A: Waterhouse Building, Liverpool, UK.

出版信息

Pharmacoepidemiol Drug Saf. 2024 Jan;33(1):e5681. doi: 10.1002/pds.5681. Epub 2023 Aug 23.

Abstract

BACKGROUND

Adverse drug reactions (ADRs) are common and a leading cause of injury. However, information on ADR risks of individual medicines is often limited. The aim of this hypothesis-generating study was to assess the relative importance of ADR-related and emergency hospital admission for large group of medication classes.

METHODS

This study was a propensity-matched case-control study in English primary care. Data sources were Clinical Practice Research Databank and Aurum with longitudinal, anonymized, patient level electronic health records (EHRs) from English general practices linked to hospital records. Cases aged 65-100 with ADR-related or emergency hospital admission were matched to up to six controls by age, sex, morbidity and propensity scores for hospital admission risk. Medication groups with systemic administration as listed in the British National Formulary (used by prescribers for medication advice). Prescribing in the 84 days before the index date was assessed. Only medication groups with 50+ cases exposed were analysed. The outcomes of interest were ADR-related and emergency hospital admissions. Conditional logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CI).

RESULTS

The overall population included 121 546 cases with an ADR-related and 849 769 cases with emergency hospital admission. The percentage of hospitalizations with an ADR-related code for admission diagnosis was 1.83% and 6.58% with an ADR-related code at any time during hospitalization. A total of 137 medication groups was included in the main ADR analyses. Of these, 13 (9.5%) had statistically non-significant adjusted ORs, 58 (42.3%) statistically significant ORs between 1.0 and 1.5, 37 (27.0%) between 1.5-2.0, 18 (13.1%) between 2.0-3.0 and 11 (8.0%) 3.0 or higher. Several classes of antibiotics (including penicillins) were among medicines with largest ORs. Evaluating the 14 medications most often associated with ADRs, a strong association was found between the number of these medicines and the risk of ADR-related hospital admission (adjusted OR of 7.53 (95% CI 7.15-7.93) for those exposed to 6+ of these medicines).

CONCLUSIONS AND RELEVANCE

There is a need for a regular systematic assessment of the harm-benefit ratio of medicines, harvesting the information in large healthcare databases and combining it with causality assessment of individual case histories.

摘要

背景

药物不良反应(ADR)很常见,也是导致伤害的主要原因之一。然而,关于个别药物 ADR 风险的信息通常是有限的。本假设生成研究旨在评估与 ADR 相关的风险和紧急住院治疗对大量药物类别的相对重要性。

方法

这是一项在英国初级保健中进行的倾向匹配病例对照研究。数据来源是临床实践研究数据库和 Aurum,这些数据库通过纵向、匿名的、患者级别的电子健康记录(EHR)与医院记录相链接,来自英国普通诊所。年龄在 65-100 岁之间的病例,根据与医院入院风险相关的年龄、性别、发病率和倾向得分进行匹配,与最多 6 名对照相匹配。按英国国家处方集(供处方者提供药物建议)列出的全身给药的药物组。评估索引日期前 84 天的药物治疗情况。仅分析有 50+暴露病例的药物组。感兴趣的结局是与 ADR 相关的和紧急的医院入院。条件逻辑回归估计比值比(OR)和 95%置信区间(CI)。

结果

总体人群包括 121546 例与 ADR 相关的病例和 849769 例与紧急住院治疗相关的病例。因 ADR 相关代码而入院诊断的住院率为 1.83%,因 ADR 相关代码而在任何时间住院的住院率为 6.58%。主要 ADR 分析中包括 137 个药物组。其中,13 个(9.5%)的调整 OR 无统计学意义,58 个(42.3%)的 OR 在 1.0-1.5 之间有统计学意义,37 个(27.0%)的 OR 在 1.5-2.0 之间,18 个(13.1%)在 2.0-3.0 之间,11 个(8.0%)在 3.0 或更高。几类抗生素(包括青霉素)都属于 OR 最大的药物之列。评估与 ADR 最常相关的 14 种药物,发现这些药物的数量与与 ADR 相关的住院治疗风险之间存在很强的关联(暴露于这些药物中的 6 种或更多药物的调整 OR 为 7.53(95%CI 7.15-7.93))。

结论和相关性

需要定期对药物的危害-效益比进行系统评估,从大型医疗保健数据库中收集信息,并将其与个体病例的因果关系评估相结合。

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