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

Author:

van Staa Tjeerd Pieter1ORCID,Pirmohamed Munir2ORCID,Sharma Anita3,Ashcroft Darren M.4,Buchan Iain5

Affiliation:

1. 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

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

3. Chadderton South Health Centre Chadderton UK

4. Centre for Pharmacoepidemiology and Drug Safety, NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health The University of Manchester Manchester UK

5. Institute of Population Health, NIHR Applied Research Collaboration North West Coast University of Liverpool Liverpool UK

Abstract

AbstractBackgroundAdverse 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.MethodsThis 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).ResultsThe 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 RelevanceThere 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.

Funder

National Institute for Health and Care Research

Health Data Research UK

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Reference41 articles.

1. World Health Organization.Medication without harm. Accessed March 31 2022.https://www.who.int/initiatives/medication-without-harm.

2. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients

3. Emergency Hospitalizations for Adverse Drug Events in Older Americans

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3