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COX模型对多发性骨髓瘤的预后因素的分析

Analysis of Prognostic Factors of Multiple Myeloma with COX Model

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【作者】 左学兰谢燕韩定芬曾宪昌

【Author】 Zuo Xuelan, Xie Yan, Han Dingfen, et alDepartment of Hematology, Zhongnan Hospital, Wuhan University, Wuhan 430071,China

【机构】 武汉大学中南医院武汉大学人民医院武汉大学公共卫生学院统计学教研室武汉大学中南医院 武汉430071武汉430060武汉430071武汉430071

【摘要】 目的 :探讨多发性骨髓瘤的预后因素。方法 :用COX模型分析多发性骨髓瘤的预后因素。结果 :选用6 2例多发性骨髓瘤患者 18个变量中 ,用单因素COX模型分析显示临床分期、生活自理程度、血浆钙离子浓度、尿素氮 (BUN)、肌酐 (Cr)和本周氏蛋白是影响预后因素的重要因素 ;多因素COX模型分析显示Cr和生活自理程度是影响多发性骨髓瘤预后的高危因素。A组 (Cr≥ 177μmol·L-1)和B组 (Cr<177μmol·L-1)之间的生存期分别为 8个月和 2 4个月 ,两者间有非常显著性意义。结论 :多发性骨髓的肾损害指标是简便而实用的预后因素。

【Abstract】 Objective: To evaluate the prognostic factors of multiple myeloma. Methods: The prognostic factors of multiple myeloma were analysed with the COX proportional hazards regression procedure. Results: The data of 62 patients were collected. There were 18 variates used for univariate and multivariate analysis. The result of univariate analysis showed that Durie-Salmon stage, performance status, calcium levels, blood urea nitrogen, creatinine and Bence-Jones protein were important prognostic factors of multiple myeloma. The result of multivariate analysis showed that creatinine and performance status were significant prognostic factors. Median survival in Group A(Cr≥177 μmol·L -1 , n=20 ) was much shorter than that in Group B(Cr<177 μmol·L -1 , n=42 ) (8 months vs 24 months). The survival difference was highly significant. Conclusion: The indexes of renal function destruction are simply and practical prognostic factors for multiple myeloma.

【关键词】 多发性骨髓瘤COX模型预后因素
【Key words】 multiple myelomaCOX regression modelprognosis
  • 【文献出处】 武汉大学学报(医学版) ,Journal of Hubei Medical University , 编辑部邮箱 ,2004年05期
  • 【分类号】R733.3
  • 【被引频次】3
  • 【下载频次】137
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