Table_4_Prognostic significance of β2-microglobulin decline index in multiple myeloma.docx

PurposeTo assess the prognostic significance of β2-microglobulin decline index (β2M DI) in multiple myeloma (MM).
Methods150 MM patients diagnosed with MM were enrolled in this study. Cox proportional hazards model was used to analyze the uni- and multivariate prognosis in training cohort (n=105). A new combined prognostic model containing β2M DI was built up based on the data in training cohort. The validation group was used to verify the model.
Resultsβ2M DI showed significant correlation with prognosis in both uni- and multivariate analyses and had a good correlation with complete response (CR) rate and deep remission rate. The ROC and calibration curves in validation cohort (n=45) indicated a good predictive performance of the new model. Based on the median risk score of the training group, we classified patients into high- and low- risk groups. In both training and validation groups, patients in the low-risk group had longer overall survival (OS) time than that in the high-risk group (p<0.05).
Conclusionβ2M DI is a good predictive index for predicting treatment response and survival time in MM patients. The prognostic model added with β2M DI showed a better correlation with OS.

研究目的：评估β2-微球蛋白下降指数（β2-microglobulin decline index, β2M DI）对多发性骨髓瘤（multiple myeloma, MM）的预后价值。
研究方法：本研究纳入150例确诊为多发性骨髓瘤的患者。以训练队列（n=105）的数据为基础，采用Cox比例风险模型（Cox proportional hazards model）开展单因素及多因素预后分析；基于训练队列数据构建包含β2M DI的新型联合预后模型，并通过验证队列对该模型进行验证。
研究结果：β2M DI在单因素及多因素分析中均与预后存在显著相关性，且与完全缓解（complete response, CR）率及深度缓解率呈现良好相关性。验证队列（n=45）的受试者工作特征（Receiver Operating Characteristic, ROC）曲线与校准曲线结果显示，该新型模型具备良好的预测性能。基于训练队列的中位风险评分将患者划分为高风险组与低风险组：无论在训练队列还是验证队列中，低风险组患者的总生存期（overall survival, OS）均显著长于高风险组（p<0.05）。
研究结论：β2M DI可作为预测多发性骨髓瘤患者治疗应答与生存时间的优良指标；纳入β2M DI的预后模型与患者总生存期的相关性更优。