Significance of Lymphocyte-to-Monocyte Ratio and Corrected Levels of Serum Calcium as Prognostic Markers in Patients with Newly Diagnosed Multiple Myeloma.
10.19746/j.cnki.issn.1009-2137.2022.01.025
- Author:
Qian-Ya PENG
1
;
Rui-Juan MA
1
;
Rui-Na GUO
1
;
Feng ZHANG
2
;
Yu LI
1
;
Deng-Ming HU
2
;
Jin YAO
3
,
4
Author Information
1. Department of Hematology,The Second Affiliated Hospital of Kunming Medical University，Kunming 650101，Yunnan Province, China.
2. Department of Hematology，The First Hospital of Kunming, Kunming 650021，Yunnan Province, China.
3. Department of Hematology,The Second Affiliated Hospital of Kunming Medical University，Kunming 650101，Yunnan Province, China,E-mail: kmyaojin@
4. com.
- Publication Type:Journal Article
- Keywords:
corrected level of serum calcium;
lymphocyte to monocyte ratio;
multiple myeloma;
prognosis
- MeSH:
Calcium;
Humans;
Lymphocytes;
Monocytes;
Multiple Myeloma;
Prognosis;
Retrospective Studies
- From:
Journal of Experimental Hematology
2022;30(1):152-157
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To investigate the significance of peripheral blood lymphocyte to monocyte ratio (LMR) and corrected levels of serum calcium (cCa) as prognostic markers for the newly diagnosed multiple myeloma (MM) patients.
METHODS:The clinical data of 114 newly diagnosed MM patients in the Second Affiliated Hospital of Kunming Medical University from January 2013 to March 2020 were retrospectively analyzed. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cutoff value, and the patients were divided into high LMR group and low LMR group (LMR≥3.35 and LMR < 3.35). Moreover, the patients were divided into four groups according to initial diagnosis LMR and LMR after four courses of treatment (LMR4): Group A (LMR≥3.35, LMR4≥3.35), Group B (LMR≥3.35, LMR4 < 3.35), Group C (LMR < 3.35, LMR4≥3.35), and group D (LMR < 3.35, LMR4 < 3.35). The simple prognosis model was established by combined with LMR and cCa, the patients were divided into Group a (no risk factor), group b (1 risk factor) and Group c (2 risk factors). Independent sample T-test, Pearson Chi-square test or Mann-Whitney U test were used to evaluate the differences between various parameters, and Kaplan-Meier method and Cox regression were used for survival analysis.
RESULTS:The median follow-up time was 13.05（0.1-72.5）months. Survival analysis showed that the patients with low LMR predicted poor prognosis, the overall survival (OS) time of the patients with low LMR was significantly shorter (17 vs 50.5 months, P=0.006) than the patients with high LMR, the difference was also significant between group A and Group D (56.5 vs 30.5 months, P=0.043). The OS of the patients was also significantly shorter in the high cCa group (≥2.75 mmol/L) compared with normal group (8.5 vs 34 months, P=0.006). Multivariate survival analysis showed that LMR < 3.35 (P=0.028) and cCa≥2.75 mmol/L (P=0.036) were the independent risk factors affecting prognosis of MM patients. The comparison of risk factors showed that the median OS of Group a, b and c was 50, 20, and 8.5 months, respectively. The prognosis of the patients without risk factors was better than that of patients with 1-2 risk factors (Group a vs Group b, P < 0.0001; Group a vs Group c, P=0.002).
CONCLUSION:LMR and cCa are the independent risk factors affecting the prognosis of newly diagnosed MM patients, and the development of a simple prognosis system combining them can quickly identify the prognosis of newly diagnosed MM patients.
