医学
毒性
不良事件通用术语标准
接收机工作特性
内科学
逻辑回归
癌症
曲线下面积
撞车
计算机科学
程序设计语言
作者
Imke Ortland,Monique Mendel Ott,Michael Kowar,Christoph Sippel,Ulrich Jaehde,Andreas H. Jacobs,Yon-Dschun Ko
标识
DOI:10.1016/j.jgo.2019.12.016
摘要
Abstract
Objectives
To compare the CARG (Cancer and Aging Research Group) and CRASH (Chemotherapy Risk Assessment Scale for High-Age Patients) score regarding the predictive performance for severe toxicity in older patients with cancer. Methods
We recruited patients ≥70 years and applied the CARG and CRASH score before the start of systemic cancer treatment. The CARG predicts severe overall toxicity; the CRASH additionally predicts hematologic and nonhematologic toxicity. We captured ≥ grade 3 toxicity according to Common Terminology Criteria for Adverse Events (CTCAE) from medical records. Predictive performance was assessed using logistic regression and the area under the receiver operating characteristic curve (ROC-AUC). Results
The study cohort comprised 120 patients (50% female, mean age 77.2 years, 57% solid tumors). The median of the CARG (range 0–23) and the combined CRASH (range 0–12) were 9 and 8, respectively. 81% of patients experienced toxicity; 67% showed hematologic toxicity. The predictive performance of the CARG and the combined CRASH was similar for overall toxicity (CARG: Odds ratio per unit increase (OR) 1.266, P = .015; ROC-AUC 0.681, P = .010; combined CRASH: OR 1.337, P = .029; ROC-AUC 0.650, P = .032). For hematologic toxicity, the hematologic CRASH was a significant predictor and showed numerically a higher ROC-AUC than the CARG which was not statistically different (CARG: OR 1.048, P = .462; ROC-AUC 0.564, P = .271; hematologic CRASH: OR 1.602, P = .007; ROC-AUC 0.665, P = .005). Conclusion
Both scores exhibited similar predictive performance for toxicity in older patients with cancer.
科研通智能强力驱动
Strongly Powered by AbleSci AI