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Brief Title: Biomarkers of Thrombosis as Predictors of Venous Thromboembolism Risk in Cancer Patients
Official Title: FIIT Project - Biomarkers of Thrombosis as Predictors of Venous Thromboembolism Risk in Cancer Patients
Study ID: NCT04301362
Brief Summary: The main venous thromboembolism (VTE) risk prediction model for ambulatory cancer patients is Khorana. Cancer thrombosis is associated with elevated thrombin generation. Its quantification is a promising method for evaluating patient's thrombotic profile. This study aims to develop a predictive model of VTE risk in ambulatory cancer patients, combining thrombosis biomarkers (D-dimers and thrombin generation potential) with the Khorana score. This is a prospective observational study that includes newly diagnosed cancer patients proposed for anti-tumor treatment (chemotherapy, immunotherapy or targeted therapies). Patients with disease progression are allowed if chemotherapy-free for 3 months. A 6-month mean incidence of VTE 6-10% is expected, requiring a sample size of 600 patients. Blood sample is collected at inclusion to analyze thrombosis biomarkers and blood count. The primary endpoint is the occurrence of symptomatic or incidental VTE within 6 months of inclusion. Models will follow a logistic approach with K-fold cross-validation (k=10). Model quality will be assessed with Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Decision for entering predictors in multivariate models will be based on p \<.10 in the univariate analysis.
Detailed Description: The main aims will be the following: * Evaluate the utility of the combination of thrombosis biomarkers (D-dimers and thrombin generation potential) with the Khorana score in order to stratify VTE risk in ambulatory cancer patients; * Determine the potential of this new score in the stratification of cancer patients into high- and low-risk VTE groups, in order to identify patients who would benefit from primary thromboprophylaxis; * Determine the applicability of the thrombin generation test as an independent factor in the stratification of VTE risk in the cancer population under study; * Determine the predictive value of D-dimers in the cancer population under study (high versus low risk discrimination).
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova De Gaia, , Portugal
Name: David Ferreira, MD
Affiliation: Centro Hospitalar Vila Nova de Gaia/Espinho
Role: PRINCIPAL_INVESTIGATOR