THE EFFECT OF COMORBIDITY AND BODY MASS INDEX ON SURVIVAL IN PATIENTS WITH MARGINAL ZONE LYMPHOMA

Abstract

Objective: Marginal zone lymphoma is a biologically and clinically heterogeneous group of indolent lymphoproliferative diseases, constituting 5-15% of all NHLs (Non-Hodgkin Lymphoma) 1. By the World Health Organization; subgroups as extranodal marginal zone lymphoma (ENMZL, MALT lymphoma, Maltoma), nodal marginal zone lymphoma (NMZL), splenic marginal zone lymphoma (SMZL) constitute 70%, 20%, 10% of MZL (Marginal Zone Lymphoma) cases, respectively. Methodology: A total of 50 patients with a diagnosis of MZL who applied to our hospital between 2013 and 2021 were included in this retrospective study. All analyzes were performed on SPSS v21. The Kolmogorov-Smirnov test was used for normality control. Data are given as mean ± standard deviation for continuous variables and frequency for categorical variables. Survival times were calculated using the Kaplan Meier method. Cox regression analysis (enter method) was performed to identify important prognostic factors. p<0.05 values were accepted as statistically significant results. Results: The mean age of 50 people in the study group was 62.88 ± 11.50 years and ranged from 34 to 84 years. 50% of the participants were male and 50% were female . The mean follow-up period of the patients was 51.80 ± 27.47 months. It was observed that none of the parameters measured in the study, such as age, gender, body mass index, diabetes, heart disease, thyroid diseases, non-hematological malignancies, chemotherapy, and radiotherapy intake, had an effect on survival. Conclusion: Age at diagnosis should be considered in risk assessment of patients with marginal zone lymphoma. It is thought that the fact that the patients are predominantly in the advanced stage MZL group, and the relatively short follow-up period compared to the indolen lymphoma group, has an effect on the absence of a determining effect of comorbid diseases on mortality. Prognostic markers determined by multicenter and detailed studies are needed to provide a better prediction.