Prediction of recurrent venous thrombosis in all patients with a first venous thrombotic event: The Leiden Thrombosis Recurrence Risk Prediction model (L-TRRiP)

• Main Authors: Jasmijn F Timp, Sigrid K Braekkan, Willem M Lijfering, Astrid van Hylckama Vlieg, John-Bjarne Hansen, Frits R Rosendaal, Saskia le Cessie, Suzanne C Cannegieter
• Format: Article in Journal/Newspaper
• Language: unknown
• Subjects: Norway; Tromsø; Meier
• Online Access: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002883; https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1002883&type=printable

Background: Recurrent venous thromboembolism (VTE) is common. Current guidelines suggest that patients with unprovoked VTE should continue anticoagulants unless they have a high bleeding risk, whereas all others can stop. Prediction models may refine this dichotomous distinction, but existing models apply only to patients with unprovoked first thrombosis. We aimed to develop a prediction model for all patients with first VTE, either provoked or unprovoked. Methods and findings: Data were used from two population-based cohorts of patients with first VTE from the Netherlands (Multiple Environment and Genetic Assessment of Risk Factors for Venous Thrombosis [MEGA] follow-up study, performed from 1994 to 2009; model derivation; n = 3,750) and from Norway (Tromsø study, performed from 1999 to 2016; model validation; n = 663). Four versions of a VTE prediction model were developed: model A (clinical, laboratory, and genetic variables), model B (clinical variables and fewer laboratory markers), model C (clinical and genetic factors), and model D (clinical variables only). The outcome measure was recurrent VTE. To determine the discriminatory power, Harrell’s C-statistic was calculated. A prognostic score was assessed for each patient. Kaplan-Meier plots for the observed recurrence risks were created in quintiles of the prognostic scores. For each patient, the 2-year predicted recurrence risk was calculated. Models C and D were validated in the Tromsø study. Conclusions: The prediction model we propose applies to patients with provoked or unprovoked first VTE—except for patients with (a history of) cancer—allows refined risk stratification, and is easily usable. For optimal individualized treatment, a management study in which bleeding risks are also taken into account is necessary. Suzanne C. Cannegieter and colleagues present a model for predicting repeat venous thromboembolism.Why was this study done?: What did the researchers do and find?: What do these findings mean?: