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老年癌症患者化疗耐受性的预测因素:一项前瞻性试点研究。

Predictors of tolerance to chemotherapy in older cancer patients: a prospective pilot study.

作者信息

Extermann M, Chen H, Cantor A B, Corcoran M B, Meyer J, Grendys E, Cavanaugh D, Antonek S, Camarata A, Haley W E, Balducci L

机构信息

H. Lee Moffitt Cancer Center, University of South Florida, 12902 Magnolia Drive, Tampa, FL 33612, USA.

出版信息

Eur J Cancer. 2002 Jul;38(11):1466-73. doi: 10.1016/s0959-8049(02)00090-4.

Abstract

Few data are available to help predict which older cancer patient is at risk of developing chemotherapy-related toxicity. This study was a pilot for a project designing a predictive risk score. Chemotherapy patients aged 70 years and older were prospectively enrolled. Chemotherapies were adjusted for their published toxicity. 60 patients were enrolled, 59 were evaluable. Mean dose-intensity was 90.3%, range 33.3-129.0%. 47% of the patients experienced grade 4 haematological and/or grade 3-4 non-haematological toxicity. Published toxicity (MAX2), diastolic blood pressure, marrow invasion and lactate dehydrogenase (LDH) were all associated with toxicity (P<0.1); Body Mass Index, previous chemotherapy, red blood cells, platelets, polymedication with dose-intensity; and polymedication with FACT-G change. After adjustment for the published toxicity, the variables retained their significance, except for LDH and polymedication (for dose-intensity). Although the size of this pilot study imposes a cautious interpretation, patient-related and chemotherapy-related variables correlated independently with toxicity. Designing a composite predictive score to use in assessing the toxicity of multiple chemotherapy regimens therefore appears to be a valid undertaking.

摘要

几乎没有数据可用于帮助预测哪些老年癌症患者有发生化疗相关毒性的风险。本研究是一个设计预测风险评分项目的试点。前瞻性纳入了70岁及以上的化疗患者。根据已公布的毒性对化疗进行调整。共纳入60例患者,59例可评估。平均剂量强度为90.3%,范围为33.3 - 129.0%。47%的患者出现4级血液学和/或3 - 4级非血液学毒性。已公布的毒性(MAX2)、舒张压、骨髓浸润和乳酸脱氢酶(LDH)均与毒性相关(P<0.1);体重指数、既往化疗、红细胞、血小板、合并用药与剂量强度;以及合并用药与FACT - G变化。在对已公布的毒性进行调整后,除LDH和合并用药(对于剂量强度)外,这些变量仍具有显著性。尽管这项试点研究的规模需要谨慎解读,但与患者相关和与化疗相关的变量均独立与毒性相关。因此,设计一个综合预测评分用于评估多种化疗方案的毒性似乎是一项有效的工作。

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