Student Research Committee, Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Radiation Oncology, Shohada-e-Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Shahrdari St, Tajrish Sq, Tehran, 1989934148, Iran.
Support Care Cancer. 2020 Jan;28(1):155-161. doi: 10.1007/s00520-019-04780-7. Epub 2019 Apr 16.
Chemotherapy-induced anemia is a frequent complication of systemic chemotherapy and is associated with decreased functional capacity and quality of life. The objective of this study was to identify the candidate variables most likely to be associated with chemotherapy-induced severe anemia (hemoglobin < 8 g/dL) in patients treated with cytotoxic chemotherapy.
A total of 14 clinical and laboratory covariates were prospectively evaluated at baseline in a cohort of consecutive cancer patients receiving cytotoxic chemotherapy. The anemia risk category for each chemotherapy regimen used was determined based on pivotal trials published in the literature. All regimens were classified to three categories (high risk, intermediate risk, and low risk). Logistic regression analysis adjusted for the regimen risk was used to determine the candidate risk factors associated with chemotherapy-induced anemia.
A total of 305 patients were included in the study. Administration of high-risk regimens (i.e., regimens with ≥ 20% risk of anemia in a pivotal trial) was demonstrated to be a novel independent predictive factor for severe anemia (odds ratio 3.33, p = 0.005). Considering regimen risk as an adjustment factor, 5 readily available predictors including low hemoglobin, body mass index (BMI) less than 23 kg/m, low hematocrit, high haptoglobin, and high ferritin were associated with the outcome.
The application of these candidate predictors would be helpful in classifying patients at risk for severe anemia, who might be appropriate candidates for prophylactic erythropoietin. Multivariable models including such promising candidate predictors need to be developed.
化疗引起的贫血是全身化疗的常见并发症,与功能能力下降和生活质量降低有关。本研究的目的是确定与接受细胞毒性化疗的患者的化疗引起的严重贫血(血红蛋白<8g/dL)最相关的候选变量。
在接受细胞毒性化疗的连续癌症患者队列中,前瞻性地评估了 14 项临床和实验室协变量基线。根据文献中发表的关键性试验确定了每个使用的化疗方案的贫血风险类别。所有方案均分为三类(高风险、中风险和低风险)。使用调整方案风险的逻辑回归分析来确定与化疗引起的贫血相关的候选危险因素。
共有 305 名患者纳入研究。高风险方案的给药(即在关键性试验中具有≥20%贫血风险的方案)被证明是严重贫血的新的独立预测因素(比值比 3.33,p=0.005)。考虑到方案风险作为调整因素,包括低血红蛋白、体重指数(BMI)<23kg/m、低血细胞比容、高触珠蛋白和高铁蛋白在内的 5 个易于获得的预测因素与该结果相关。
应用这些候选预测因素将有助于对严重贫血风险患者进行分类,这些患者可能是预防性促红细胞生成素的合适候选者。需要开发包括这些有前途的候选预测因素的多变量模型。