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首页> 外文期刊>International journal of clinical pharmacology and therapeutics >Search for nutritional and inflammatory marker ratios to predict neutropenia in FEC therapy for breast cancer: A retrospective observational study
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Search for nutritional and inflammatory marker ratios to predict neutropenia in FEC therapy for breast cancer: A retrospective observational study

机译:寻找营养和炎症标志物比率以预测乳腺癌 FEC 治疗中的中性粒细胞减少:一项回顾性观察性研究

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Objective: Nutritional and inflammatory marker ratios are known to predict response to chemotherapy in breast cancer, but whether they predict adverse ef-fects caused by chemotherapy remains un-clear. We investigated whether nutritional and inflammatory marker ratios before starting FEC therapy (5-fluorouracil, epirubi-cin, and cyclophosphamide) predict grade 4 neutropenia as a serious adverse effect. Ma-terials and methods: 61 patients with breast cancer who started FEC therapy for the first time as preoperative or postoperative che-motherapy were studied. Relevant nutri-tional and inflammatory marker ratios were compared between patients who developed grade 4 neutropenia (n = 44) and those who did not (n = 17). Results: In univariate analy-sis, occurrence of neutropenia was related significantly (p < 0.05) to pre-FEC-therapy white blood cell count, platelet count, neu-trophil count, lymphocyte-to-monocyte ra-tio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and modified Glasgow prognostic score. Analysis using cutoff values obtained from receiver operating characteristic curves showed that LMR, NLR, and PLR predicted grade 4 neutropenia. However, multivari-ate logistic regression analysis identified no independent factor associated with grade 4 neutropenia. A post-hoc power analysis revealed an inadequate sample size. Con-clusion: Inflammatory marker ratios, espe-cially PLR, may predict grade 4 neutropenia caused by FEC therapy for breast cancer. Although multivariate analysis identified no independent predictive markers in this study due to inadequate sample size, further prospective large-scale research is needed to examine the usefulness of nutritional and inflammatory marker ratios for predicting adverse effects.
机译:目的:已知营养和炎症标志物比率可预测乳腺癌对化疗的反应,但是否能预测化疗引起的不良影响仍不清楚。我们研究了开始FEC治疗(5-氟尿嘧啶、表柔霉素和环磷酰胺)之前的营养和炎症标志物比率是否预测4级中性粒细胞减少症是一种严重的不良反应。马和方法: 研究了 61 例首次开始 FEC 治疗作为术前或术后化疗的乳腺癌患者。比较发生 4 级中性粒细胞减少症 (n = 44) 和未发生中性粒细胞减少症 (n = 17) 的患者之间的相关营养和炎症标志物比率。结果:在单因素分析中,中性粒细胞减少的发生与FEC治疗前白细胞计数、血小板计数、中性粒细胞计数、淋巴细胞与单核细胞ra-tio(LMR)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和改良格拉斯哥预后评分显著相关(p < 0.05)。使用从受试者工作特征曲线获得的临界值的分析表明,LMR、NLR 和 PLR 预测 4 级中性粒细胞减少症。然而,多因素logistic回归分析未发现与4级中性粒细胞减少相关的独立因素。事后功效分析显示样本量不足。结论:炎症标志物比率,尤其是 PLR,可以预测乳腺癌 FEC 治疗引起的 4 级中性粒细胞减少症。尽管由于样本量不足,多变量分析在本研究中未发现独立的预测标志物,但需要进一步的前瞻性大规模研究来检查营养和炎症标志物比率对预测不良反应的有用性。

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