Model for calculating the risk of venous thrombosis

Aim. To develop a model for calculating the risk of venous thrombosis, taking into account the presence of known risk factors, comorbidity and congenital thrombophilia.

Material and methods. During the study (2015 to 2017), 79 patients with venous thrombosis were examined (36 men and 43 women, mean age — 56,76±15,570). The control group consisted of 83 patients and healthy volunteers without thrombosis at the moment and in history (35 men and 48 women, average age — 43,95±18,136). All individuals included in the study were analyzed for the presence of G1691A mutations in the factor V gene, G20210A in the prothrombin gene, C677T polymorphism in the 5,10-methylenetetrahydrofolate reductase gene, and polymorphism in the SERPINE1 gene of plasminogen activator inhibitor. Real-time polymerase chain reaction was used to identify mutations. To create a risk calculation model, a linear regression analysis was performed.

Results. We have developed a model for calculating the risk of venous thrombosis. The resulting formula showed high prognostic accuracy (the area under the ROC curve is 95,9%). For patients who do not have data on the presence of these mutations, a short version of the risk calculation model was developed (the area under the ROC curve is 94,6%).

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