The ONKOTEV score significantly improved the prediction of venous thromboembolism compared to the Khorana model at 6 months (AUC 75.4% vs. 58.6%, p<0.001).
Cohort (n=843)
Does the ONKOTEV risk model improve the prediction of venous thromboembolism compared to the Khorana score in ambulatory cancer patients?
The ONKOTEV score significantly improves the prediction of venous thromboembolism in ambulatory cancer patients compared to the Khorana score, offering a promising tool to guide primary thromboprophylaxis.
Absolute Event Rate: 75.4% vs 58.6%
p-value: p=<0.001
Abstract Background The efficacy of risk model scores to predict venous thromboembolism (VTE) in ambulatory cancer patients is under investigation, aiming to stratify on an individual risk basis the subset of the cancer population that could mostly benefit from primary thromboprophylaxis. Materials and Methods We prospectively assessed 843 patients with active cancers, collecting clinical and laboratory data. We screened all the patients with a duplex ultrasound (B-mode imaging and Doppler waveform analysis) of the upper and lower limbs to evaluate the right incidence of VTE (both asymptomatic and symptomatic). The efficacy of the existing Khorana risk model in preventing VTE was also explored in our population. Several risk factors associated with VTE were analyzed, leading to the construction of a risk model. The Fine and Gray model was used to account for death as a competing risk in the derivation of the new model. Results The risk factors significantly associated with VTE at univariate analysis and further confirmed in the multivariate analysis, after bootstrap validation, were the presence of metastatic disease, the compression of vascular/lymphatic structures by tumor, a history of previous VTE, and a Khorana score 2. Time-dependent receiving operating characteristic (ROC) curve analysis showed a significant improvement in the area under the curve of the new score over the Khorana model at 3 months (71.9% vs. 57.9%, p = .001), 6 months (75.4% vs. 58.6%, p .001), and 12 months (69.8% vs. 58.3%, p = .014). Conclusion ONKOTEV score steps into history of cancer-related-VTE as a promising tool to drive the decision about primary prophylaxis in cancer outpatients. The validation represents the goal of the prospective ONKOTEV-2 study, endorsed and approved by the European Organization for Research and Treatment of Cancer Young Investigators Program.
Cella et al. (Wed,) conducted a cohort in Active cancers (n=843). ONKOTEV score vs. Khorana risk model was evaluated on Area under the curve for predicting venous thromboembolism at 6 months (p=<0.001). The ONKOTEV score significantly improved the prediction of venous thromboembolism compared to the Khorana model at 6 months (AUC 75.4% vs. 58.6%, p<0.001).