Warrer Pernille, Jensen Peter Bjødstrup, Aagaard Lise, Jensen Lars Juhl, Brunak Søren, Krag Malene Hammer, Rossing Peter, Almdal Thomas, Andersen Henrik Ullits, Hansen Ebba Holme
Department of Pharmacy, Section for Social and Clinical Pharmacy, University of Copenhagen, Copenhagen, Denmark.
Novo Nordisk Foundation Centre for Protein Research, University of Copenhagen, Copenhagen, Denmark.
J Res Pharm Pract. 2015 Apr-Jun;4(2):64-72. doi: 10.4103/2279-042X.155753.
Through manual review of clinical notes for patients with type 2 diabetes mellitus attending a Danish diabetes center, the aim of the study was to identify adverse drug reactions (ADRs) associated with three classes of glucose-lowering medicines: "Combinations of oral blood-glucose lowering medicines" (A10BD), "dipeptidyl peptidase-4 (DDP-4) inhibitors" (A10BH), and "other blood glucose lowering medicines" (A10BX). Specifically, we aimed to describe the potential of clinical notes to identify new ADRs and to evaluate if sufficient information can be obtained for causality assessment.
For observed adverse events (AEs) we extracted time to onset, outcome, and suspected medicine(s). AEs were assessed according to World Health Organization-Uppsala Monitoring Centre causality criteria and analyzed with respect to suspected medicines, type of ADR (system organ class), seriousness and labeling status.
A total of 207 patients were included in the study leading to the identification of 163 AEs. 14% were categorized as certain, 60% as probable/likely, and 26% as possible. 15 (9%) ADRs were unlabeled of which two were serious: peripheral edema associated with sitagliptin and stomach ulcer associated with liraglutide. Of the unlabeled ADRs, 13 (87%) were associated with "other blood glucose lowering medications," the remaining 2 (13%) with "DDP-4 inhibitors."
Clinical notes could potentially reveal unlabeled ADRs associated with prescribed medicines and sufficient information is generally available for causality assessment. However, manual review of clinical notes is too time-consuming for routine use and hence there is a need for developing information technology (IT) tools for automatic screening of patient records with the purpose to detect information about potentially serious and unlabeled ADRs.
通过人工查阅丹麦一家糖尿病中心2型糖尿病患者的临床记录,本研究旨在识别与三类降糖药物相关的药物不良反应(ADR):“口服降糖药物组合”(A10BD)、“二肽基肽酶-4(DDP-4)抑制剂”(A10BH)和“其他降糖药物”(A10BX)。具体而言,我们旨在描述临床记录识别新的ADR的潜力,并评估是否能够获取足够信息进行因果关系评估。
对于观察到的不良事件(AE),我们提取了发病时间、结局和可疑药物。根据世界卫生组织-乌普萨拉监测中心因果关系标准对AE进行评估,并就可疑药物、ADR类型(系统器官分类)、严重程度和标签状态进行分析。
共有207名患者纳入本研究,共识别出163例AE。14%被归类为肯定,60%为很可能/可能,26%为可能。15例(9%)ADR未标注,其中2例为严重ADR:与西他列汀相关的外周水肿和与利拉鲁肽相关的胃溃疡。在未标注的ADR中,13例(87%)与“其他降糖药物”相关,其余2例(13%)与“DDP-4抑制剂”相关。
临床记录可能揭示与处方药相关的未标注ADR,并且通常可获取足够信息进行因果关系评估。然而,人工查阅临床记录用于日常工作过于耗时,因此需要开发信息技术(IT)工具自动筛查患者记录,以检测有关潜在严重和未标注ADR的信息。