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Using clinical trial data and linked administrative health data to reduce the risk of adverse events associated with the uptake of newly released drugs by older Australians: a model process

机译:使用临床试验数据和链接的行政健康数据来减少与年长澳大利亚人摄取新释放药物有关的不良事件的风险:一个模型过程

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摘要

BACKGROUND: The study was undertaken to evaluate the contribution of a process which uses clinical trial data plus linked de-identified administrative health data to forecast potential risk of adverse events associated with the use of newly released drugs by older Australian patients. METHODS: The study uses publicly available data from the clinical trials of a newly released drug to ascertain which patient age groups, gender, comorbidities and co-medications were excluded in the trials. It then uses linked de-identified hospital morbidity and medications dispensing data to investigate the comorbidities and co-medications of patients who suffer from the target morbidity of the new drug and who are the likely target population for the drug. The clinical trial information and the linked morbidity and medication data are compared to assess which patient groups could potentially be at risk of an adverse event associated with use of the new drug. RESULTS: Applying the model in a retrospective real-world scenario identified that the majority of the sample group of Australian patients aged 65 years and over with the target morbidity of the newly released COX-2-selective NSAID rofecoxib also suffered from a major morbidity excluded in the trials of that drug, indicating a substantial potential risk of adverse events amongst those patients. This risk was borne out in post-release morbidity and mortality associated with use of that drug. CONCLUSIONS: Clinical trial data and linked administrative health data can together support a prospective assessment of patient groups who could be at risk of an adverse event if they are prescribed a newly released drug in the context of their age, gender, comorbidities and/or co-medications. Communication of this independent risk information to prescribers has the potential to reduce adverse events in the period after the release of the new drug, which is when the risk is greatest.Note: The terms \u27adverse drug reaction\u27 and \u27adverse drug event\u27 have come to be used interchangeably in the current literature. For consistency, the authors have chosen to use the wider term \u27adverse drug event\u27 (ADE).
机译:背景:这项研究旨在评估使用临床试验数据加上链接的身份不明的行政健康数据来预测与澳大利亚老年患者使用新释放药物有关的不良事件的潜在风险的过程的贡献。方法:该研究使用了新药物临床试验的公开数据,以确定试验中排除了哪些患者年龄组,性别,合并症和联合用药。然后,它使用链接的身份不明的医院发病率和药物分配数据来调查患有新药目标发病率且可能是该药物目标人群的患者的合并症和联合用药。比较临床试验信息以及相关的发病率和用药数据,以评估哪些患者组可能存在与使用新药相关的不良事件的风险。结果:在回顾性现实世界中应用该模型后,发现年龄在65岁以上且新发布的COX-2选择性NSAID罗非考昔的目标发病率是目标发病率的澳大利亚患者样本组中,大多数患者也患有严重发病在该药物的试验中,表明这些患者中存在重大潜在不良事件风险。这种风险在与使用该药物有关的释放后发病率和死亡率中得到证实。结论:临床试验数据和相关的行政健康数据可以共同支持对年龄,性别,合并症和/或合并症患者开具新发布药物的可能发生不良事件风险的患者群体的前瞻性评估。 -药物。在开具新药后的那个时期,即风险最大时,将这种独立的风险信息传达给处方者有可能减少不良事件。注意:术语“药物不良反应”和“药物不良事件” u27在当前文献中已经可以互换使用。为了保持一致,作者选择使用更广泛的术语“不良药品事件”(ADE)。

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