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含顺铂化疗治疗非小细胞肺癌时骨髓抑制的决定因素

Determinants of myelosuppression in the treatment of non-small cell lung cancer with cisplatin-containing chemotherapy.

作者信息

Matsui K, Masuda N, Uchida Y, Fukuoka M, Negoro S, Yana T, Kusunoki Y, Kudoh S, Kawase I, Kawahara M, Ogawara M, Kodama N, Kubota K, Furuse K

机构信息

2nd Department of Internal Medicine, Osaka Prefectural Habikino Hospital, Osaka.

出版信息

Jpn J Cancer Res. 1996 Jul;87(7):781-6. doi: 10.1111/j.1349-7006.1996.tb00292.x.

Abstract

Data on 16 potential risk factors for myelosuppression were assessed in 134 patients who received either vindesine and cisplatin (VP) or mitomycin C, vindesine and cisplatin (MVP) for inoperable stage III or IV non-small cell lung cancer in a randomized trial. Determinant factors for myelosuppression were evaluated by using univariate analysis and the logistic regression model. Recursive partitioning and amalgamation (RPA) was also used to define patient subgroups frequently suffering from severe bone marrow toxicity. Overall, 33 (25%) of 134 patients experienced at least one episode of grade 4 leukopenia. In univariate analysis, age, body surface area, serum creatinine, and pretreatment hemoglobin concentration were associated with severe leukopenia. A multivariate analysis using the logistic regression method showed that only raised creatinine level was an independent predictor for grade 4 leukopenia (P = 0.049). The RPA model generated three distinct subgroups based on age, body surface area and regimen. The three subgroups were distinguished by the frequency of severe (grade 4) leukopenia (50%, 25%, and 2.4%, respectively) (P < 0.001). Grade 4 leukopenia occurred more frequently in patients in class 3 (age > or = 65 years and treatment with MVP). The RPA model was useful in identifying the risk factors for myelosuppression induced by cisplatin-based chemotherapy, and in defining patient subgroups with elevated risk of toxicity.

摘要

在一项随机试验中,对134例无法手术的III期或IV期非小细胞肺癌患者进行了评估,这些患者接受了长春地辛和顺铂(VP)或丝裂霉素C、长春地辛和顺铂(MVP)治疗,评估了16种骨髓抑制潜在风险因素的数据。通过单因素分析和逻辑回归模型评估骨髓抑制的决定因素。还使用递归划分与合并(RPA)来定义经常遭受严重骨髓毒性的患者亚组。总体而言,134例患者中有33例(25%)经历了至少一次4级白细胞减少。在单因素分析中,年龄、体表面积、血清肌酐和预处理血红蛋白浓度与严重白细胞减少有关。使用逻辑回归方法进行的多因素分析表明,只有肌酐水平升高是4级白细胞减少的独立预测因素(P = 0.049)。RPA模型根据年龄、体表面积和治疗方案生成了三个不同的亚组。这三个亚组的严重(4级)白细胞减少频率不同(分别为50%、25%和2.4%)(P < 0.001)。4级白细胞减少在3类患者(年龄≥65岁且接受MVP治疗)中更频繁发生。RPA模型有助于识别基于顺铂化疗引起的骨髓抑制风险因素,并定义毒性风险升高的患者亚组。

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