The prognostic impact of comorbidity, nutritional and performance status on patients with diffuse large B cell lymphoma.

Background: The aim of the study was to investigate the impact of nutritional status, comorbidity, and performance status on patients with diffuse large B-cell lymphoma (DLBCL). Methods: A retrospective study was conducted on 112 DLBCL patients who were diagnosed at our center between 2009 and 2018. Demographic and disease characteristics and laboratory test results were recorded. Assessments were made using the age-adjusted Charlson comorbidity index (CCI-A) for comorbidity, albumin level for nutritional status, and Eastern Cooperative Oncology Group (ECOG) score for performance status. Results: The mean age of the patients was found to be 62.63 ± 15.16 years. The ECOG score of 65 patients (69.1%) was in the range of 0-1. The mean follow-up time of the patients was determined to be 25.24 ± 25.11 months, and at the end of the follow-up period, 64 patients (57.1%) were survivors. The progression-free survival (PFS), overall survival (OS), and 5-year OS rates of those with CCI-A > 4 were found to be significantly lower than those with CCI-A score ≤4 (P < 0.05). As a result of the Cox-Regression (Backward: LR method) analysis, ECOG and albumin levels were found to be independent risk factors for both OS and PFS (P < 0.05). Conclusion: This study demonstrated that CCI-A, ECOG, and nutritional status are independent prognostic markers for DLBCL patients. Initial evaluation of these patients should include all these parameters, which are easily available at the time of diagnosis.

The utility of CONUT score in indolent lymphoma patients.

Background and Aim: Similar to the uncertainties in the treatment criteria for indolent non-Hodgkin lymphoma (iNHL), the prognostic criteria have not been fully clarified. The Controlled Nutritional Status (CONUT) score is not only used as a predictor of malnutrition but also indicates prognosis in many chronic or malignant diseases. The aim of this study is to investigate the predictive and prognostic significance of the CONUT score in patients with iNHL. Patients and Methods: A retrospective evaluation was made of 109 patients with iNHL. The CONUT scores of the patients were compared between those with an indication for treatment and those followed without treatment. The same analysis was performed between patients who developed relapse after treatment. Survival analysis was performed on all patients, and associations between survival and the CONUT score were examined. Results: The median CONUT score was found to be higher in those who had treatment indications compared to those who did not (2 vs 1; P = 0.014). In the regression model, a CONUT absolute value above 5 was found as an independent risk factor predicting relapse. In the whole study population, a CONUT absolute value >2 predicted the risk of mortality with 53.9% sensitivity and 68.7% specificity (AUC ± SE = 0.639 ± 0.07; +PV = 35%; -PV = 82.6%; P = 0.034). Conclusion: CONUT score is a predictive and prognostic factor for patients with iNHL. The development of simple, low-budget prognostic and predictive biomarkers is critical not only for determining the course of the disease but also for follow-up and treatment management.

The prognostic significance of blood counts in patients with hodgkin lymphoma.

Background and Aim: The aim of the study was to examine the demographic, clinical features, treatment responses, and outcomes of Hodgkin lymphoma (HL) patients and to investigate the factors affecting their survival. Patients and Methods: A retrospective analysis was made of patients diagnosed with HL in our department between 2009 and 2019. Treatment regimen, treatment response, and follow-up times were recorded for all patients. Using these data, complete response (CR) rates, overall survival (OS), and progression-free survival (PFS) were calculated. The effects of parameters on survival were investigated with Cox regression analysis. Results: Evaluation was made of 60 patients with a median age of 33.5 years [18.0-80.0] and mean follow-up duration of 29.34 ± 23.64 months. Median OS and PFS could not be reached with a mean OS of 85.6 months, and PFS of 71.7 months at the final visit. Only initial leukocyte and neurophil count were determined to have a statistically significant impact on survival (OR = 1.004; P = 0.031 vs OR = 0.996; P = 0.036). Conclusion: In HL patients, in addition to the many prognostic scoring systems, leukocyte and neutrophil count can be used as an independent prognostic parameter. Patients with higher leukocyte and lower neutrophil counts at the time of diagnosis should be managed more carefully.