Hematology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hatyai, Songkhla, Thailand.
Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hatyai, Songkhla, Thailand.
Clin Appl Thromb Hemost. 2024 Jan-Dec;30:10760296241263099. doi: 10.1177/10760296241263099.
Essential thrombocythemia (ET) involves the proliferation of megakaryocytes and platelets and is associated with an increased risk of thrombosis. We aimed to evaluate thrombotic risks in patients with epigenetic regulator mutations and generate a model to predict thrombosis in ET.
This cohort study enrolled patients aged > 15 years diagnosed with ET at the Songklanakarind Hospital between January 2002 and December 2019. Twenty-five targeted gene mutations, including somatic driver mutations (), epigenetic regulator mutations (, , , , , , ) and other genes relevant to myeloid neoplasms, were identified using next-generation sequencing. Thrombotic events were confirmed based on clinical condition and imaging findings, and thrombotic risks were analyzed using five survival models with the recurrent event method.
Ninety-six patients were enrolled with a median follow-up of 6.91 years. Of these, 15 patients experienced 17 arterial thrombotic events in total. Patients with mutation and mutation had the highest frequency of thrombotic events with somatic driver mutations (17.3%) and epigenetic regulator mutations (100%). The 10-year thrombosis-free survival rate was 81.3% (95% confidence interval: 72.0-91.8%). mutation was a significant factor for thrombotic risk in the multivariate analysis for all models. The Prentice, William, and Peterson (PWP) gap-time model was the most appropriate prediction model.
The PWP gap-time model was a good predictive model for thrombotic risk in patients with ET. mutation was significant risk factors for thrombosis; however, further studies with a larger sample size should confirm this and provide more insight.
特发性血小板增多症(ET)涉及巨核细胞和血小板的增殖,与血栓形成风险增加有关。我们旨在评估表观遗传调节剂突变患者的血栓形成风险,并建立预测 ET 血栓形成的模型。
本队列研究纳入了 2002 年 1 月至 2019 年 12 月在 Songklanakarind 医院诊断为 ET 的年龄大于 15 岁的患者。使用下一代测序鉴定了 25 个靶向基因突变,包括体细胞驱动突变()、表观遗传调节剂突变(、、、、、、)和与髓系肿瘤相关的其他基因。根据临床情况和影像学检查结果确认血栓形成事件,并使用具有复发性事件方法的五种生存模型分析血栓形成风险。
共纳入 96 例患者,中位随访时间为 6.91 年。其中,15 例患者共发生 17 例动脉血栓形成事件。具有 突变和 突变的患者具有体细胞驱动突变(17.3%)和表观遗传调节剂突变(100%)的最高血栓形成事件发生率。10 年无血栓生存率为 81.3%(95%置信区间:72.0-91.8%)。多变量分析显示, 突变是所有模型中血栓形成风险的显著因素。Prentice、William 和 Peterson(PWP)间隙时间模型是预测 ET 患者血栓形成风险的最佳模型。
PWP 间隙时间模型是预测 ET 患者血栓形成风险的良好预测模型。 突变是血栓形成的显著危险因素;然而,需要进一步的大样本研究来证实这一点并提供更多的见解。