Myeloma prognostic index at diagnosis might be a prognostic marker in patients newly diagnosed with multiple myeloma.
- Author:
Dae Sik KIM
1
;
Eun Sang YU
;
Ka Won KANG
;
Se Ryeon LEE
;
Yong PARK
;
Hwa Jung SUNG
;
Chul Won CHOI
;
Byung Soo KIM
Author Information
- Publication Type:Original Article
- Keywords: Multiple myeloma; Prognosis; Neutrophil-lymphocyte ratio; Platelet count; C-reactive protein
- MeSH: C-Reactive Protein; Diagnosis*; Humans; Multiple Myeloma*; Multivariate Analysis; Platelet Count; Prognosis
- From:The Korean Journal of Internal Medicine 2017;32(4):711-721
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND/AIMS: The aims of this study were to identify the value of inflammatory markers as pretreatment prognostic factors for patients with multiple myeloma (MM) and to estimate the value of a prognostic index including these markers at diagnosis. METHODS: A total of 273 newly diagnosed MM patients undergoing active treatment were analyzed in this study. The prognostic values for survival of the pretreatment inflammatory markers were investigated. A myeloma prognostic index (MPI) was derived using prognostic factors determined to be independently significant on multivariate analysis. RESULTS: A high pretreatment neutrophil-lymphocyte ratio (NLR), low platelet count, and high C-reactive protein (CRP) level had independently unfavorable significance for overall survival (OS). The MPI was derived based on these factors. Per the MPI, 1 point each was assigned to high NLR, low platelet count, and high CRP. Risk categories were stratified into low- (score 0), intermediate- (score 1), and high-risk (score 2 or 3) groups. The MPI demonstrated independent statistical significance for OS on multivariate analysis ([intermediate: hazard ratio (HR), 1.91; 95% confidence interval (CI), 1.12 to 3.24] and [high: HR, 3.37; 95% CI, 2.00 to 5.69]; p < 0.001). Moreover, this significance could be observed regardless of age, renal function, and exposure to novel agents. In addition, the International Staging System risk group could be further significantly stratified using the MPI. CONCLUSIONS: The MPI, consisting of pretreatment inflammatory markers, NLR, platelet count, and CRP, might be effective in predicting the survival of newly diagnosed MM patients undergoing active treatment.
