Analysis of Thrombosis Risk Stratification Models Based on 10 Years Follow up of 237 Essential Thrombocythemia Patients

Abstract

Objective: In our study we analysed thromboembolic (TE) events of ET patients using data from the Hungarian Myeloproliferative Neoplasm (HUMYPRON) registry. We examined possible thrombosis risk factors and compared Landolfi-, IPSET- and R-IPSET risk stratification models. Methods: The HUMYPRON registry was established in 2012 and contains data of patients from 14 Hungarian haematology centres. We analysed clinical and laboratory data of 237 ET (according to 2008 WHO classification) patients to assess possible risk factors of post-diagnostic TE events and to study the applicability of Landolfi-, IPSET- and R-IPSET thrombosis risk stratifications.  Results: 237 ET patients were followed for median 10 years. After diagnosis 76 patients (32.1%) had TE complication. Previous thrombotic episode was found to be the only factor that had significant effect on TE events after diagnosis (p<0.001). On our sample R-IPSET proved to be the strongest model, where the frequency of TE events was 14.3% in the very low and 46% in the high risk patient group.  Conclusions: During the follow-up period of median 10 years, prior TE event was the only factor that had highly significant effect on post-diagnostic thrombosis. Among the risk stratification systems R-IPSET model proved to be the strongest. Keywords: Essential Thrombocythemia | Thrombosis | Humypron Registry | Risk Factors | Thrombosis Risk Models