The Application of Existing Risk Assessment Models (RAMS) to Predict the Occurrence of Venous Thromboembolic Events among Patients with Classic Hodgkin Lymphoma.

Background: A majority of patients included in risk assessment models (RAMs) developed to predict venous thromboembolic events (VTE) in lymphoma were non-Hodgkin lymphoma. Our study aims to evaluate the incidence and predictors of VTE, utilizing different RAMs, in patients with classic Hodgkin lymphoma (cHL) treated with adriamycin, bleomycin, vinblastine, and dacarbazine (ABVD). Methods: Adult patients with cHL, treated and followed at our center, were included. Correlations between different variables, Khorana score, and thrombosis in lymphoma (ThroLy) RAMs with VTE were examined using Fisher's exact test and logistic regression analysis. Results: A total of 321 patients were included, with a median age of 29 (range: 18-83) years. Of them, 169 (52.6%) had advanced-stage disease. Combined modality treatment was given to 169 (52.6%) patients. A total of 52 (16.2%) patients had relapsed or refractory disease. VTE were reported in 15 (4.7%) patients and were mostly during the administration of first-line (n = 8, 53.3%), or salvage chemotherapy (n = 6, 40.0%). There was no correlation between a Khorana score > 2 (p = 0.689) or ThroLy score > 3 (p = 0.335) and VTE. Older age (p = 0.014) and relapsed or refractory disease (p = 0.003) significantly correlated with VTE. Conclusions: VTE are uncommon in cHL. The commonly used RAMs failed to predict VTE. However, older age and relapsed or refractory disease significantly increased this risk.

Mean platelet volume as a predictive marker for venous thromboembolism in patients treated for Hodgkin lymphoma.

Mean platelet volume (MPV) is reported to be associated with the risk of venous thromboembolism (VTE) and mortality in patients with cancer. We sought to determine the association of MPV with symptomatic VTE occurrence in patients treated for newly diagnosed Hodgkin lymphoma (HL) and their outcomes. We retrospectively studied 167 consecutive adult patients treated with HL. During first-line treatment 12 (7.2%) patients developed VTE and 14 (8%) died within the observation period. The pre-chemotherapy values of MPV were significantly lower in VTE patients than those without (p=0.0343). Patients with MPV≤25th percentile (6.8 fl) had an increased risk of VTE occurrence (p=0.0244). In multivariate analysis, MPV≤25th percentile (OR 2.21; 95%CI 1.07-4.57, p=0.033), advanced stage (OR 2.08; 95%CI 1.06-4.07, p=0.033) and bulky disease (OR 2.23; 95%CI 1.16-4.31, p=0.016) were significant factors for developing VTE. Only the impact of MPV≤25th percentile on VTE-free survival rates was found. VTE occurred in 43% (n=3) of the high-risk patients of the Thrombosis Lymphoma (ThroLy) score and in 17% (n=2) of the high-risk of the Khorana Risk Score (KRS). Neither the KRS nor the ThroLy score could identify patients at a high risk of VTE with a high degree of accuracy. We expanded the ThroLy score with the addition of the MPV≤25th percentile to more accurately identify HL patients with a higher risk of VTE. Our study indicates that the pre-chemotherapy MPV value, while of no use as an overall prognosis predictor, may still represent a useful prognostic marker for a significant VTE risk especially when incorporated into VTE-risk assessment models.