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Home Data Analysis

A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Str

globalresearchsyndicate by globalresearchsyndicate
December 3, 2019
in Data Analysis
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Yanxia Jin,1,2 Yufeng Shang,1 Hailing Liu,3 Lu Ding,1 Xiqin Tong,1 Honglei Tu,1 Guolin Yuan,4 Fuling Zhou1,5

1Department of Hematology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430071, People’s Republic of China; 2Hubei Key Laboratory of Edible Wild Plants Conservation and Utilization, Hubei Normal University, Huangshi, Hubei 435002, People’s Republic of China; 3Department of Clinical Hematology, Second Affiliated Hospital, Medical School of Xi’an Jiaotong University, Xi’an, Shaanxi 710004, People’s Republic of China; 4Department of Hematology, Xiangyang Central Hospital, The Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei 441021, People’s Republic of China; 5Key Laboratory of Tumor Biological Behavior of Hubei Province, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430071, People’s Republic of China

Correspondence: Fuling Zhou
Department of Hematology, Zhongnan Hospital, Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan 430071, People’s Republic of China
Tel +8618986265580
Email zhoufuling@whu.edu.cn

Objective: Multiple myeloma (MM) patients with bone destruction are difficult to restore, so it is of great clinical significance to further explore the factors affecting MM bone destruction.
Methods and results: This study retrospectively analyzed 419 cases with MM. Multiple linear regression analysis showed that those MM patients with a higher concentration of Ca2+ in serum, higher positive rate of CD138 immuno-phenotype and advanced in stage with 13q34 deletion in cytogenetics would be more prone to bone destruction, while total bile acid (TBA) and kappa chain isotope negatively correlated with bone destruction in MM patients. The Kaplan–Meier analysis indicated that Ca2+, serum β2-microglobulin (β2-MG), hemoglobin (HGB), creatinine (CREA), uric acid (UA) and age correlated with the survival of bone destruction in MM patients. Cox regression analysis further showed that the independent prognostic factors of β2-MG and CREA had a higher risk for early mortality in bone destruction patients. Moreover, an index was calculated based on β2-MG and globulin (GLB) to white blood cell (WBC) ratio to predict the poor survival of bone destruction patients.
Conclusion: We provide a novel marker to predict the prognosis of myeloma patients using routine examination method instead of bone marrow aspiration, and provide a reference for clinical evaluation.

Keywords: multiple myeloma, bone destruction, prediction index, prognosis


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