首页> 外文期刊>JCO clinical cancer informatics. >TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma
【24h】

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma

机译:步道评分:一个简单的模型,可预测弥漫性大B细胞淋巴瘤患者的免疫化学疗法耐受性

获取原文
获取原文并翻译 | 示例
           

摘要

PURPOSE Rituximab with cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) represents the standard of care for first-line treatment of diffuse large B-cell lymphoma (DLBCL). However, many patients are unable to tolerate R-CHOP and have inferior outcomes. This study aimed to develop a practical tool to help physicians identify patients with newly diagnosed DLBCL unlikely to tolerate a full course of R-CHOP. METHODS We developed a predictive model (Tolerability of R-CHOP in Aggressive Lymphoma [TRAIL]) on the basis of a training data set from the phase III GOYA trial (obinutuzumab with CHOP v R-CHOP in 1L DLBCL) using a composite binary end point, identifying patients who prematurely stopped or required reductions of R-CHOP. Candidate predictive variables were selected on the basis of known baseline characteristics that contribute to patient frailty, comorbidity, and/or chemotherapy toxicity. TRAIL was developed using an iterative trial-and-error modeling process to fit a logistic regression model. The final model was evaluated for robustness using a GOYA holdout data set and the phase III MAIN (R-CHOP with or without bevacizumab in 1L DLBCL) R-CHOP-21 data set as external validation. RESULTS TRAIL includes four simple predictors available in the routine clinical setting: Charlson Comorbidity Index, presence of cardiovascular disease or diabetes, serum albumin, and creatinine clearance. Model generalization performance estimated by the area under the curve was around or above 0.70 across GOYA training, GOYA holdout, and MAIN data sets. Classifying patients into low-, intermediate- and high-risk categories, the proportion of patients experiencing a tolerability event was 3.3%, 12.4%, and 32.9%, respectively, in GOYA holdout, and 9.7%, 9.7%, and 34.2%, respectively, in MAIN. CONCLUSION TRAIL may be useful as a clinical decision support tool for treatment decisions in patients with DLBCL who may not tolerate standard chemoimmunotherapies.
机译:用环磷酰胺,阿霉素,长春新碱和泼尼松龙(R-CHOP)的目的利妥昔单抗代表了弥漫性大型B细胞淋巴瘤(DLBCL)一线治疗的护理标准。但是,许多患者无法忍受R-Chop,并且有劣质的预后。这项研究旨在开发一种实用的工具,以帮助医生识别有新诊断的DLBCL的患者,不太可能忍受完整的R-Chop。方法我们根据使用复合二进制的二进制二进制末端的训练数据集(III阶段GOYA试验(obinutuzumab at cop v r-chop in 1l dlbcl)中的训练数据集(obinutuzumab),我们开发了一种预测模型(R-CHOP在侵袭性淋巴瘤[TRAIL])中的可耐受性(TRAIL])。点,确定过早停止或需要减少R-Chop的患者。根据已知的基线特征选择候选预测变量,这些变量有助于患者脆弱,合并症和/或化学疗法毒性。使用迭代试验模型过程开发了TRAIL,以拟合逻辑回归模型。最终模型使用GOYA Holdout数据集评估了鲁棒性,而III阶段主(在1L DLBCL中具有或不带有bevacizumab的R-Chop)R-Chop-21数据集作为外部验证。结果步道包括常规临床环境中可用的四个简单预测因素:查尔森合并症指数,心血管疾病或糖尿病的存在,血清白蛋白和肌酐清除率。在曲线下估计的模型概括性能在Goya培训,Goya Holdout和主要数据集中大约或高于0.70。将患者分为低风险和高风险类别,耐受性事件的患者比例分别为3.3%,12.4%和32.9%,在Goya Holdout中分别为9.7%,9.7%和34.2%分别为主要。结论TRAIL可能是用于DLBCL患者的治疗决策的临床决策支持工具,这些DLBCL患者可能不耐受标准的化学免疫疗法。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号