School of Pharmacy, Pharmacy Australia Centre of Excellence, The University of Queensland, 20 Cornwall Street, BrisbaneWoolloongabba, Brisbane, QLD, 4102, Australia.
Faculty of Medicine, Centre for Health Services Research, The University of Queensland, Brisbane, QLD, 4102, Australia.
Eur J Clin Pharmacol. 2022 Apr;78(4):679-686. doi: 10.1007/s00228-021-03271-1. Epub 2022 Jan 18.
To externally evaluate the performance of two European risk prediction models, for identifying patients at high-risk of medication harm, in an Australian hospital setting.
This was a secondary analysis of a pre-existing cohort study described in a recently published study by Falconer et al. (Br J Clin Pharmacol 87(3):1512-1524, 2021) describing the development of a predictive risk model for inpatient medication harm. We retrospectively extracted relevant variables using the electronic health records of general medical and geriatric patients admitted to a quaternary hospital, in Brisbane, over 6 months from July to December 2017. This dataset was used to externally evaluate the two European models, The Brighton Adverse Drug Reaction Risk (BADRI) model by Tangiisuran et al. and a risk model developed by Trivalle et al. The variables were entered into both models and the patients' risk of medication harm was calculated, and compared with actual patient outcomes. Predictive performance was evaluated by measuring area under the receiver operative characteristic (AuROC) curves.
The Australian patient cohort included 1982 patients (median age 74 years), of which 136 (7%) patients experienced ≥ 1 medication harm event(s). External evaluation of the two European models identified that both the BADRI and the Trivalle models had reduced predictive performance in an Australian patient cohort, compared with their original studies (AuROC of 0.63 [95% CI: 0.58-0.68] and 0.60 [95% CI: 0.55-0.65], respectively).
Neither model demonstrated sufficient discrimination to warrant further evaluation in our local setting. This is likely a result of variations between the development and the validation cohorts, and the change in healthcare systems over time, and highlights the need for an up-to-date and context-specific risk prediction model.
在澳大利亚医院环境中,对外评估两种欧洲风险预测模型在识别药物伤害高风险患者方面的性能。
这是 Falconer 等人最近发表的一项研究中描述的一项现有队列研究的二次分析,该研究描述了一种用于预测住院药物伤害风险的预测风险模型的开发。我们使用 2017 年 7 月至 12 月在布里斯班的一家四等医院住院的普通内科和老年患者的电子健康记录,回顾性地提取了相关变量。该数据集用于外部评估两种欧洲模型,即 Tangiisuran 等人的布莱顿药物不良反应风险(BADRI)模型和 Trivalle 等人开发的风险模型。将变量输入到两个模型中,计算患者发生药物伤害的风险,并与实际患者结局进行比较。通过测量接受者操作特征(ROC)曲线下的面积(AuROC)来评估预测性能。
澳大利亚患者队列包括 1982 名患者(中位年龄 74 岁),其中 136 名(7%)患者经历了≥1 次药物伤害事件。对两种欧洲模型的外部评估表明,与原始研究相比,BADRI 和 Trivalle 模型在澳大利亚患者队列中的预测性能均有所下降(AuROC 分别为 0.63 [95%CI:0.58-0.68]和 0.60 [95%CI:0.55-0.65])。
这两个模型都没有表现出足够的区分度,因此在我们的本地环境中不需要进一步评估。这可能是由于开发和验证队列之间的差异,以及随着时间的推移医疗保健系统的变化,这突出了需要一个最新的、特定于上下文的风险预测模型。