Institute of Pharmaceutical Medicine, University of Basel , Basel , Switzerland.
Leuk Lymphoma. 2013 Nov;54(11):2426-32. doi: 10.3109/10428194.2013.780287. Epub 2013 Apr 17.
Febrile neutropenia (FN) is a common and serious complication of chemotherapy treatment. Clinical risk models may help to identify patients at high risk of FN but must undergo external validation before implementation in medical practice. Therefore, this study externally validated previously published clinical models of FN occurrence during chemotherapy in 240 patients with non-Hodgkin lymphoma by using an independent observational dataset (n = 1829). The models demonstrated predictive ability, and validation criteria for predicting any cycle of FN were partially met but a larger than expected decrease in performance was noted (area under the receiver operating characteristic curve was 0.71 in the validation dataset and 0.83 in the training dataset). Age, weight, baseline white blood cell count and planned chemotherapy parameters were confirmed to predict FN risk. Chemotherapy dose reductions, dose delays and colony-stimulating factor use were confirmed as risk modifiers during treatment. Further work is needed to improve the predictive ability of FN risk models.
发热性中性粒细胞减少症(FN)是化疗治疗中常见且严重的并发症。临床风险模型有助于识别发生 FN 风险较高的患者,但在实际应用前必须进行外部验证。因此,本研究使用独立的观察数据集(n=1829),对 240 例非霍奇金淋巴瘤患者化疗期间 FN 发生的先前发表的临床模型进行了外部验证。这些模型显示出了预测能力,且预测 FN 任何周期的验证标准部分得到满足,但性能下降幅度大于预期(验证数据集中的受试者工作特征曲线下面积为 0.71,训练数据集中为 0.83)。年龄、体重、基线白细胞计数和计划化疗参数被证实可预测 FN 风险。化疗剂量减少、剂量延迟和集落刺激因子的使用在治疗期间被确认为风险调节剂。需要进一步的工作来提高 FN 风险模型的预测能力。