Medical Oncology Department, Santa Creu i Sant Pau Hospital, Barcelona, Spain.
Eur J Cancer Care (Engl). 2010 Sep;19(5):648-55. doi: 10.1111/j.1365-2354.2009.01121.x. Epub 2010 Jan 19.
Chemotherapy-induced neutropenia, the major dose-limiting toxicity of chemotherapy, is directly associated with concomitant morbidity, mortality and health-care costs. The use of prophylactic granulocyte colony-stimulating factors may reduce the incidence and duration of chemotherapy-induced neutropenia, and is recommended in high-risk patients. The objective of this study was to develop a model to predict first-cycle chemotherapy-induced neutropenia (defined as neutropenia grade>or=3, with or without body temperature>or=38 degrees C) in patients with solid tumours. A total of 1194 patients [56% women; mean age 58+/-12 years; 94% Eastern Cooperative Oncology Group (ECOG) status<or=1] with solid tumours were included in a multi-centre non-interventional prospective cohort study. A predictive logistic regression model was developed. Several factors were found to influence chemotherapy-induced neutropenia. Higher ECOG status values increased toxicity (ECOG 2 vs. 0, P=0.003; odds ratio 3.12), whereas baseline lymphocyte (P=0.011; odds ratio 0.67) and neutrophil counts (P=0.026; odds ratio 0.90) were inversely related to neutropenia occurrence. Sex and treatment intention also significantly influenced chemotherapy-induced neutropenia (P=0.012). The sensitivity and specificity of the model were 63% and 67% respectively, and the positive and negative predictive values were 17% and 94% respectively. Once validated, this model should be a useful tool for clinical decision making.
化疗引起的中性粒细胞减少症是化疗的主要剂量限制毒性,与伴随的发病率、死亡率和医疗保健成本直接相关。预防性使用粒细胞集落刺激因子可能会降低化疗引起的中性粒细胞减少症的发生率和持续时间,并且在高危患者中推荐使用。本研究的目的是开发一种模型,以预测实体瘤患者首次化疗引起的中性粒细胞减少症(定义为中性粒细胞减少症等级>或=3,伴有或不伴有体温>或=38°C)。共有 1194 名患有实体瘤的患者[56%为女性;平均年龄 58+/-12 岁;94%的东部肿瘤协作组(ECOG)状态<或=1]被纳入一项多中心非干预性前瞻性队列研究。建立了一个预测逻辑回归模型。发现了一些影响化疗引起的中性粒细胞减少症的因素。更高的 ECOG 状态值增加了毒性(ECOG 2 与 0 相比,P=0.003;比值比 3.12),而基线淋巴细胞(P=0.011;比值比 0.67)和中性粒细胞计数(P=0.026;比值比 0.90)与中性粒细胞减少症的发生呈反比。性别和治疗意图也显著影响化疗引起的中性粒细胞减少症(P=0.012)。该模型的敏感性和特异性分别为 63%和 67%,阳性和阴性预测值分别为 17%和 94%。一旦验证,该模型应该是临床决策的有用工具。
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