Work

Neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and systemic immune-inflammation index as predictors of venous thromboembolism in patients with diffuse large B-cell lymphoma

Year: 2026

Type: article

Abstract: BACKGROUND: Neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) have been linked to venous thromboembolism (VTE) across various cancer types; however, their relationship with diffuse large B-cell lymphoma (DLBCL) remains largely unexplored. This study aimed to investigate the role of these inflammatory markers in predicting the risk of VTE in patients with DLBCL. METHOD: A retrospective cohort study was conducted to analyze NLR, PLR, and SII in 224 DLBCL patients prior to chemotherapy. Of them, 31 (13.8%) patients were diagnosed with VTE, while the remaining 193 patients were considered as the control group. RESULTS: The median age was 55 (30) years, with men representing 57% of the patients. The majority of VTE events occurred during active treatment (58%), however; 42% of VTE cases were diagnosed prior to the initiation of treatment. NLR, PLR, and SII were significantly higher in DLBCL patients who developed VTE compared with the control (P = 0.003, P = 0.015, and P = 0.027, respectively). The optimal cut-off values were > 2.41 for NLR (P = 0.003, with a sensitivity of 68% and specificity of 63%), > 185 for PLR (P = 0.016, with a sensitivity of 71% and specificity of 67%), and > 656 for SII (P = 0.027, with a sensitivity of 64% and specificity of 55%). Area under the curve values were 66% for NLR, 63% for PLR, and 62% for SII. The multivariate logistic regression model showed that NLR (ORa 3.750, P = 0.001) and PLR (ORa 5.211, P < 0.001) were independent predictors of VTE in DLBCL patients. CONCLUSIONS: NLR and PLR could be beneficial predictors of potential VTE in DLBCL patients without additional costs to the healthcare systems.

Source: Thrombosis Journal

DOI: 10.1186/s12959-026-00875-4

Authors: Waad Almalki, Atheer Alenezi, Rawan Almutairi, Anfal Alsadhan

Institutions: King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center

Language: English

Topic: Inflammatory Biomarkers in Disease Prognosis

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,090