COMPASS-CAT versus Khorana risk assessment model for predicting venous thromboembolic events in patients with non-small cell lung cancer on active treatment with chemotherapy and/or immunotherapy, the CK-RAM study.

Cancer patients are at higher risk for venous thromboembolism (VTE). Several risk assessment models (RAM), including the Khorana and COMPASS-CAT, were developed to help predict the occurrence of VTE in cancer patients on active anti-cancer therapy. We aim to study the prevalence and predictors of VTE among patients with non-small cell lung cancer (NSCLC) and compare both RAMs in predicting VTE in patients with NSCLC were retrospectively reviewed. Variables known to increase the risk of VTE were collected and risk of VTE was assessed using both Khorana and COMPASS-CAT RAM. A total of 508 patients (mean age ± SD, 58.4 ± 12.2 years) were enrolled. Most (n = 357, 70.3%) patients had adenocarcinoma, and 333 (65.6%) patients had metastatic disease. VTE were confirmed in 76 (15.0%) patients. Rates were higher among patients with metastatic disease (19.8%, p < 0.001), adenocarcinoma (17.4%, p = 0.01) and those treated with immunotherapy (23.5%, p = 0.014). VTE rates were 21.2%, 14.1% and 13.9% among those with high (n = 66), intermediate (n = 341) and low (n = 101) Khorana risk scores, respectively (p = 0.126). On the other hand, 190 (37.4%) were classified as high risk by the COMPASS-CAT RAM; 52 (27.4%) of them had VTE compared to 24 (7.5%) of the remaining 318 (62.6%) classified as Low/Intermediate risk level, p < 0.001. In conclusion, patients with NSCLC are at high risk for VTE, especially those with adenocarcinoma, metastatic disease and when treated with immunotherapy. Compared to Khorana RAM, COMPASS-CAT RAM was better in identifying more patients in high-risk group, with higher VTE rate.

The Application of the ThroLy Risk Assessment Model to Predict Venous Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma.

BACKGROUND: Patients with aggressive lymphomas are at higher risk for venous thromboembolism (VTE). ThroLy is a risk assessment model (RAM) derived to predict the occurrence of VTE in various types of lymphomas. In this study, we assess the clinical application of ThroLy RAM in a unified group of patients with diffuse large B-cell lymphoma (DLBCL). METHODS: Hospital databases were searched for patients with DLBCL and radiologically-confirmed VTE. Items in the ThroLy RAM, including prior VTE, reduced mobility, obesity, extranodal disease, mediastinal involvement, neutropenia and hemoglobin < 10.0 g/dL, were retrospectively reviewed. RESULTS: A total of 524 patients, median age 49 (range: 18-90) years were included. Patients had high disease burden; 57.3% with stage III/IV and 34.0% with bulky disease. All were treated on unified guidelines; 63 (12.0%) had primary refractory disease. Venous thromboembolic events were reported in 71 (13.5%) patients. Among 121 patients with high (> 3) ThroLy score, 22.3% developed VTE compared to 8.4% and 12.4% in those with low and intermediate risk scores, respectively (P = .014). Simplifying the ThroLy model into two risk groups; high-risk (score ≥ 3) and low risk (score < 3) can still segregate patients; VTE developed in 44 (17.2%) high-risk patients (n = 256) compared to 27 (10.1%) in the low-risk group (n = 268), P = .038. Neutropenia, a component of the ThroLy, was encountered in only 14 (2.7%) patients. CONCLUSIONS: ThroLy RAM can identify patients with DLBCL at high risk for VTE. Model can be modified by dividing patients into two, rather than three risk groups, and further simplified by omitting neutropenia.