Division of Gastroenterology, University of California, San Diego, La Jolla, California.
Division of Gastroenterology, University of California, San Diego, La Jolla, California.
Clin Gastroenterol Hepatol. 2020 Dec;18(13):2952-2961.e8. doi: 10.1016/j.cgh.2020.02.010. Epub 2020 Feb 13.
BACKGROUND & AIMS: We created and validated a clinical decision support tool (CDST) to predict outcomes of vedolizumab therapy for ulcerative colitis (UC).
We performed logistic regression analyses of data from the GEMINI 1 trial, from 620 patients with UC who received vedolizumab induction and maintenance therapy (derivation cohort), to identify factors associated with corticosteroid-free remission (full Mayo score of 2 or less, no subscore above 1). We used these factors to develop a model to predict outcomes of treatment, which we called the vedolizumab CDST. We evaluated the correlation between exposure and efficacy. We validated the CDST in using data from 199 patients treated with vedolizumab in routine practice in the United States from May 2014 through December 2017.
Absence of exposure to a tumor necrosis factor (TNF) antagonist (+3 points), disease duration of 2 y or more (+3 points), baseline endoscopic activity (moderate vs severe) (+2 points), and baseline albumin concentration (+0.65 points per 1 g/L) were independently associated with corticosteroid-free remission during vedolizumab therapy. Patients in the derivation and validation cohorts were assigned to groups of low (CDST score, 26 points or less), intermediate (CDST score, 27-32 points), or high (CDST score, 33 points or more) probability of vedolizumab response. We observed a statistically significant linear relationship between probability group and efficacy (area under the receiver operating characteristic curve, 0.65), as well as drug exposure (P < .001) in the derivation cohort. In the validation cohort, a cutoff value of 26 points identified patients who did not respond to vedolizumab with high sensitivity (93%); only the low and intermediate probability groups benefited from reducing intervals of vedolizumab administration due to lack of response (P = .02). The vedolizumab CDST did not identify patients with corticosteroid-free remission during TNF antagonist therapy.
We used data from a trial of patients with UC to develop a scoring system, called the CDST, which identified patients most likely to enter corticosteroid-free remission during vedolizumab therapy, but not anti-TNF therapy. We validated the vedolizumab CDST in a separate cohort of patients in clinical practice. The CDST identified patients most likely to benefited from reducing intervals of vedolizumab administration due to lack of initial response. ClinicalTrials.gov no: NCT00783718.
我们开发并验证了一种临床决策支持工具(CDST),用于预测溃疡性结肠炎(UC)患者接受维得利珠单抗治疗的结局。
我们对 GEMINI 1 试验中的 620 例接受维得利珠单抗诱导和维持治疗的 UC 患者的数据进行了逻辑回归分析(推导队列),以确定与皮质类固醇缓解(完整 Mayo 评分 2 分或更低,无任何单项评分高于 1 分)相关的因素。我们使用这些因素来建立一个预测治疗结局的模型,我们称之为维得利珠单抗 CDST。我们评估了暴露与疗效之间的相关性。我们使用 2014 年 5 月至 2017 年 12 月期间在美国接受维得利珠单抗常规治疗的 199 例患者的数据验证了 CDST。
未使用肿瘤坏死因子(TNF)拮抗剂(+3 分)、疾病病程 2 年或更长时间(+3 分)、基线内镜活动(中度与重度)(+2 分)和基线白蛋白浓度(每增加 1 g/L 增加 0.65 分)与维得利珠单抗治疗期间的皮质类固醇缓解独立相关。推导和验证队列中的患者被分配到低(CDST 评分 26 分或更低)、中(CDST 评分 27-32 分)或高(CDST 评分 33 分或更高)的维得利珠单抗反应概率组。我们观察到概率组与疗效(接受者操作特征曲线下面积,0.65)之间存在统计学上显著的线性关系,以及在推导队列中药物暴露(P<.001)之间存在统计学上显著的线性关系。在验证队列中,26 分的截断值可识别出对维得利珠单抗无反应的患者,其具有高灵敏度(93%);只有低和中概率组因缺乏反应而减少维得利珠单抗给药间隔而获益(P=0.02)。维得利珠单抗 CDST 未识别出在 TNF 拮抗剂治疗期间皮质类固醇缓解的患者。
我们使用 UC 患者的试验数据开发了一种评分系统,称为 CDST,该系统确定了最有可能在维得利珠单抗治疗期间进入皮质类固醇缓解的患者,但不能确定在抗 TNF 治疗期间进入皮质类固醇缓解的患者。我们在另一组临床实践中的患者中验证了维得利珠单抗 CDST。CDST 识别出最有可能因初始反应缺乏而受益于减少维得利珠单抗给药间隔的患者。ClinicalTrials.gov 编号:NCT00783718。