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A proposed modification to Hy's law and Edish criteria in oncology clinical trials using aggregated historical data

机译:使用汇总的历史数据对海氏定律和Edish标准进行肿瘤临床试验的拟议修改

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Purpose: Identifying drug-induced liver injury is a critical task in drug development and postapproval real-world care. Severe liver injury is identified by the liver chemistry threshold of alanine aminotransferase (ALT) >3× upper limit of normal (ULN) and bilirubin >2× ULN, termed Hy's law by the Food and Drug Administration. These thresholds require discontinuation of the causative drug and are seldom exceeded in most patient populations. However, because maintenance of therapy is critical in the treatment of advanced cancer, customized thresholds may be useful in oncology patient populations, particularly for those with baseline liver chemistries elevations. Methods: Liver chemistry data from 31 aggregated oncology clinical trials were modeled through a truncated robust multivariate outlier detection (TRMOD) method to develop the decision boundary or threshold for examining liver injury in oncology clinical trials. Results: The boundary of TRMOD identified outliers with an ALT limit 5.0× ULN and total bilirubin limit 2.7× ULN. In addition, TRMOD was applied to the aggregated oncology data to examine fold-baseline ALT and total bilirubin, revealing limits of ALT 6.9× baseline and bilirubin 6.5× baseline. Similar ALT and bilirubin threshold limits were observed for oncology patients both with and without liver metastases. Conclusions: These higher liver chemistry thresholds examining fold-ULN and fold-baseline data may be valuable in identifying potential severe liver injury and detecting liver safety signals of clinical concern in oncology clinical trials and postapproval settings while helping to avoid premature discontinuation of curative therapy.
机译:目的:识别药物引起的肝损伤是药物开发和批准后现实护理中的关键任务。严重的肝损伤通过丙氨酸氨基转移酶(ALT)>正常上限(ULN)上限的3倍,胆红素> 2倍正常上限的肝化学阈值来确定,被食品药品管理局称为Hy's定律。这些阈值需要终止致病药物,并且在大多数患者人群中很少超过。但是,由于维持治疗对晚期癌症的治疗至关重要,因此定制的阈值在肿瘤科患者人群中可能有用,尤其是对于那些基线肝化学指标升高的患者。方法:通过截断的稳健多变量离群值检测(TRMOD)方法对来自31项肿瘤综合临床试验的肝化学数据进行建模,以制定用于检查肿瘤临床试验中肝损伤的决策边界或阈值。结果:TRMOD的边界确定了ALT极限为5.0倍ULN,总胆红素极限为2.7x ULN的异常值。此外,将TRMOD应用于汇总的肿瘤学数据以检查基线倍数ALT和总胆红素,揭示ALT 6.9基线和胆红素6.5基线的极限。对于有或没有肝转移的肿瘤患者,观察到相似的ALT和胆红素阈值限值。结论:检查fold-ULN和fold-baseline数据的这些较高的肝化学阈值,对于识别潜在的严重肝损伤并检测肿瘤学临床试验和批准后设置中临床关注的肝安全信号,同时有助于避免过早停止治疗性疗法,可能是有价值的。

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