Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Hospital Henri Mondor, Paris-Est Créteil University, Créteil, France.
Clin Trials. 2021 Feb;18(1):51-60. doi: 10.1177/1740774520959313. Epub 2020 Oct 1.
Current adverse event reporting practices do not document longitudinal characteristics of adverse effects, and alternative methods are not easily interpretable and have not been employed by clinical trials. Introducing time parameters in the evaluation of safety that are comprehensive yet easily interpretable could allow for a better understanding of treatment quality. In this study, we developed and applied a novel adverse event reporting method based on longitudinal adverse event changes to aid describing, summarizing, and presenting adverse event profile. We termed it the "Adverse Event Load, Onset, and Maximum Grade" method.
We developed two adverse event summary metrics to complement the traditional maximum grade report. Onset time indicates the time period in which the maximum grade for a specific adverse event occurred and was defined as "early" (i.e. maximum grade happened for the first time before 6 weeks) or "late" (i.e. after the 6 week). Adverse event load indicates the overall severity of a specific adverse event over the entire treatment. Higher adverse event load indicates a worse overall experience. These metrics can be calculated for adverse events with different maximum grades, in treatments with planned changes (e.g. dosage changes), using data sets with different number of adverse event data points between treatments (e.g. treatments with longer cycle lengths may have less adverse event data points) and on data sets with different adverse event data availability (e.g. cycle basis and patient-outcome reports). We tested the utility of this method using individual patient data from two major backbone therapies ("Irinotecan" and "Oxaliplatin") from the N9741 trial available in the Fondation ARCAD database (fondationarcad.org). We investigated profiles of diarrhea, neutropenia/leukopenia, and nausea/vomiting.
Our method provided additional information compared to traditional adverse event reports. For example, for nausea/vomiting, while patients in Irinotecan had a higher risk of experiencing maximum grade 3-4 (15.6% vs 7.6%, respectively; p < 0.001), patients in both groups experienced similar severity over time (adverse effect load = 0.102 and 0.096, respectively; p = 0.26), suggesting that patients in Oxaliplatin experienced a lower-grade but more persistent nausea/vomiting. For neutropenia/leukopenia, more patients in Irinotecan experienced their maximum grade for the first time early in the treatment compared to patients in Oxaliplatin (67.9% vs 41.7%; p < 0.001), regardless of maximum grade. Longitudinal information can help compare treatments or guide clinicians on choosing appropriate interventions for low-grade but persistent adverse event or early adverse event onset.
We developed an adverse event reporting method that provides clinically relevant information about treatment toxicity by incorporating two longitudinal adverse event metrics to the traditional maximum grade approach. Future research should establish clinical benchmarks for metrics included in this adverse event reporting method.
目前的不良事件报告实践并未记录不良影响的纵向特征,而替代方法不易解释,且尚未在临床试验中应用。引入评估安全性的时间参数,使其全面且易于解释,可帮助更好地理解治疗质量。在本研究中,我们开发并应用了一种新的基于纵向不良事件变化的不良事件报告方法,以帮助描述、总结和呈现不良事件概况。我们称之为“不良事件负荷、发作和最大等级”方法。
我们开发了两种不良事件总结指标来补充传统的最大等级报告。发作时间表示特定不良事件发生最大等级的时间段,定义为“早期”(即最大等级首次发生在 6 周之前)或“晚期”(即发生在 6 周之后)。不良事件负荷表示特定不良事件在整个治疗过程中的整体严重程度。较高的不良事件负荷表明整体体验较差。这些指标可用于具有不同最大等级的不良事件、具有计划更改(例如剂量更改)的治疗、具有不同不良事件数据点数量的数据集(例如,周期较长的治疗可能具有较少的不良事件数据点)以及具有不同不良事件数据可用性的数据集(例如,周期基础和患者结局报告)。我们使用 Fondation ARCAD 数据库(fondationarcad.org)中 N9741 试验中两种主要骨干疗法(“伊立替康”和“奥沙利铂”)的个体患者数据对此方法的实用性进行了测试。我们研究了腹泻、中性粒细胞减少/白细胞减少和恶心/呕吐的不良事件概况。
与传统不良事件报告相比,我们的方法提供了更多信息。例如,对于恶心/呕吐,尽管伊立替康组患者发生 3-4 级不良事件的风险更高(分别为 15.6%和 7.6%;p<0.001),但两组患者的不良事件严重程度随时间推移相似(不良事件负荷分别为 0.102 和 0.096;p=0.26),表明奥沙利铂组患者经历了较低等级但更持久的恶心/呕吐。对于中性粒细胞减少/白细胞减少,伊立替康组中首次发生最大等级的患者比例高于奥沙利铂组(67.9%和 41.7%;p<0.001),无论最大等级如何。纵向信息可帮助比较治疗方法或指导临床医生为低级别但持续存在的不良事件或早期不良事件发作选择适当的干预措施。
我们开发了一种不良事件报告方法,通过将两个纵向不良事件指标纳入传统最大等级方法,为治疗毒性提供了有临床意义的信息。未来的研究应确定该不良事件报告方法中包含的指标的临床基准。