COX模型对多发性骨髓瘤的预后因素的分析

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。

Analysis of Prognostic Factors of Multiple Myeloma with COX Model

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.