| Objective:To discuss the correlation between neutrophil count/lymphocyte count(NLR),platelet count/lymphocyte count(PLR),systemic immunoinflammatory index(SII)and prognosis of newly diagnosed multiple myeloma(MM)patients.Methods:59 newly diagnosed MM patients admitted to the Department of Hematology of our hospital from January 2013 to December 2021 were included in the study,including 37 male patients and 22 female patients.Patients were divided into remission group(n=34)and non-remission group(n=25)according to the outcome of six months after admission.The differences of underlying diseases,age and gender between the two groups were compared to determine whether they were statistically significant.The relationship between serum calcium concentration,creatinine,NLR,PLR,SII and the outcome of MM patients was discussed.The independent risk factors for MM prognosis were discussed by logistic regression analysis,and the ROC curve was drawn to evaluate the prognostic value of MM patients.Results:There were no significant differences in PLR,underlying diseases,age,sex,blood calcium concentration and creatinine between the remission group and the non-remission group(P > 0.05).NLR and SII in remission group were lower than those in non-remission group,and there was a significant correlation(P < 0.01).Multivariate logistic regression analysis showed that high level of SII was an independent risk factor for MM prognosis(OR=1.005,P < 0.05).ROC curve evaluated the survival prediction of NLR and SII.The results indicated that the area under the curve(AUC)of NLR was 0.722,the specificity was 79.4%,and the sensitivity was 64.0%.The area under the curve of SII was 0.754,the specificity was85.3%,and the sensitivity was 64.0%.Conclusion:NLR and SII can be used to evaluate the prognosis of MM.This study calculated the sensitivity and specificity of the two factors to the prognosis assessment of MM,and proved that the prognostic value of SII is better than that of NLR.It is expected to provide help for prognosis prediction of MM patients. |