There are no risk models available yet that accurately predict a person's risk for developing venous thrombosis. Our aim was therefore to explore whether inclusion of established thrombosisassociated single nucleotide polymorphisms (SNPs) in a venous thrombosis risk model improves the risk prediction. We calculated genetic risk scores by counting risk-increasing alleles from 31 venous thrombosis-associated SNPs for subjects of a large case-control study,

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Summary.  Venous thrombosis of the upper extremity is a rare disease. Therefore, not as much is known about risk factors, treatment and the risk of recurrence as for venous thrombosis of the leg. Only central venous catheters and strenuous exercise are commonly known risk factors for an upper extremity venous thrombosis. In this review an overview of the different risk factors, possible treatments and the complications for patients with a venous thrombosis of the upper extremity is given.

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To cite this article: Tick LW, Doggen CJM, Rosendaal FR, Faber WR, Bousema MT, Mackaay AJC, van Balen P, Kramer MHH. Predictors of the post-thrombotic syndrome with non-invasive venous examinations in patients 6 weeks after a first episode of deep vein thrombosis. J Thromb Haemost 2010; 8: 2685-92.Summary. Background: Post-thrombotic syndrome (PTS) is a chronic complication of deep vein thrombosis (DVT) affecting a large number of patients. Because of its potential debilitating effects, identification of patients at high risk for the development of this syndrome is relevant, and only a few predictors are known. Objectives: To assess the incidence and potential predictors of PTS. Methods: We prospectively followed 111 consecutive patients for 2 years after a first episode of objectively documented DVT of the leg. With non-invasive venous examinations, residual thrombosis, valvular reflux, calf muscle pump function and venous outflow resistance were assessed at 6 weeks, 3 months, 6 months, 1 year, and 2 years. The Clinical, Etiologic, Anatomic, and Pathophysiologi classification was used to record the occurrence and severity of PTS. Regression analysis with area under the receiver operating characteristic (ROC) curve was performed to identify potential predictors. Results: The cumulative incidence of PTS was 46% after 3 months, and the incidence and severity did not increase further. Men appeared to be at increased risk as compared with women (risk ratio [RR] 1.4, 95% confidence interval [CI] 0.9-2.2), as were patients over 50 years as compared with younger patients (RR 1.4%, 95% CI 0.9-2