Clinical Oncology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Department of Oncology, Tom Baker Cancer Centre, University of Calgary, Calgary, Alberta, T2N4N1, Canada.
Int J Colorectal Dis. 2019 Apr;34(4):675-680. doi: 10.1007/s00384-019-03252-y. Epub 2019 Jan 24.
To evaluate the predictors of toxicity-related hospitalization associated with various chemotherapy regimens among metastatic colorectal cancer patients METHODS: This pooled analysis includes patient-level datasets from four randomized clinical studies (NCT00272051; NCT00305188; NCT00115765; NCT00364013). Through univariate and multivariate logistic regression analyses, factors predicting the development of serious adverse events, fatal adverse events, and toxicity-related hospitalizations were determined.
A total of 2533 patients were included in the current study. A total of 1010 patients (39.9%) experienced one or more episodes of serious adverse events. These include 914 patients (36.1%) who were hospitalized at least once and 148 patients (5.8%) who suffered from a fatal adverse event. Within multivariate logistic regression analysis, older age (P < 0.001), higher ECOG score (P < 0.001), bevacizumab-containing chemotherapy (P < 0.001), and panitumumab-containing chemotherapy (P < 0.001) were predictive of hospitalization. Similarly, older age (P < 0.001), higher ECOG score (P < 0.001), and panitumumab-containing chemotherapy (P = 0.003) were predictive of fatal adverse events in multivariate logistic regression analysis. Moreover, in a multivariate Cox regression analysis, hospitalization was predictive of worse overall survival (P < 0.001) and progression-free survival (P < 0.001).
Older age, poorer performance status, and bevacizumab- and panitumumab-containing regimens are associated with a higher risk of hospitalization. Moreover, hospitalization is predictive of worse overall and progression-free survival.
评估转移性结直肠癌患者接受各种化疗方案时与毒性相关的住院治疗的预测因素。
本汇总分析纳入了四项随机临床试验(NCT00272051;NCT00305188;NCT00115765;NCT00364013)的患者水平数据集。通过单变量和多变量逻辑回归分析,确定了预测严重不良事件、致命不良事件和毒性相关住院的因素。
本研究共纳入 2533 例患者。共有 1010 例患者(39.9%)经历了一次或多次严重不良事件。这些事件包括 914 例(36.1%)至少住院一次的患者和 148 例(5.8%)发生致命不良事件的患者。在多变量逻辑回归分析中,年龄较大(P<0.001)、ECOG 评分较高(P<0.001)、贝伐珠单抗联合化疗(P<0.001)和帕尼单抗联合化疗(P<0.001)是住院的预测因素。同样,在多变量逻辑回归分析中,年龄较大(P<0.001)、ECOG 评分较高(P<0.001)和帕尼单抗联合化疗(P=0.003)是致命不良事件的预测因素。此外,在多变量 Cox 回归分析中,住院与更差的总生存(P<0.001)和无进展生存(P<0.001)相关。
年龄较大、体能状态较差以及贝伐珠单抗和帕尼单抗联合化疗方案与住院风险增加相关。此外,住院与更差的总生存和无进展生存相关。