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首页> 外文期刊>Blood: The Journal of the American Society of Hematology >Predicting recurrence after unprovoked venous thromboembolism: prospective validation of the updated Vienna Prediction Model
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Predicting recurrence after unprovoked venous thromboembolism: prospective validation of the updated Vienna Prediction Model

机译:无缘无故静脉血栓栓塞后的复发预测:更新的维也纳预测模型的前瞻性验证

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The updated Vienna Prediction Model for estimating recurrence risk after an unprovoked venous thromboembolism (VTE) has been developed to identify individuals at low risk for VTE recurrence in whom anticoagulation (AC) therapy may be stopped after 3 months. We externally validated the accuracy of the model to predict recurrent VTE in a prospective multicenter cohort of 156 patients aged >= 65 years with acute symptomatic unprovoked VTE who had received 3 to 12 months of AC. Patients with a predicted 12-month risk within the lowest quartile based on the updated Vienna Prediction Model were classified as low risk. The risk of recurrent VTE did not differ between low-vs higher-risk patients at 12 months (13% vs 10%; P = .77) and 24 months (15% vs 17%; P = 1.0). The area under the receiver operating characteristic curve for predicting VTE recurrence was 0.39 (95% confidence interval [CI], 0.25-0.52) at 12 months and 0.43 (95% CI, 0.31-0.54) at 24 months. In conclusion, in elderly patients with unprovoked VTE who have stopped AC, the updated Vienna Prediction Model does not discriminate between patients who develop recurrent VTE and those who do not. This study was registered at www.clinicaltrials.gov as #NCT00973596.
机译:已开发出更新后的维也纳预测模型,用于评估无故静脉血栓栓塞(VTE)后的复发风险,以识别出VTE复发风险低的个体,其中可以在3个月后停止抗凝(AC)治疗。我们从外部验证了模型的准确性,该模型在156名年龄≥65岁,接受无症状VTE的急性症状性VTE且接受了3到12个月AC的前瞻性多中心队列中进行了预测。根据更新的维也纳预测模型,在最低四分位数内具有预计12个月风险的患者被分类为低风险。低vs高危患者在12个月(13%vs 10%; P = 0.77)和24个月(15%vs 17%; P = 1.0)之间,再次发生VTE的风险没有差异。用于预测VTE复发的受试者工作特征曲线下的面积在12个月时为0.39(95%置信区间[CI],0.25-0.52),在24个月时为0.43(95%CI,0.31-0.54)。总之,对于停止使用AC的无缘无故的VTE的老年患者,更新的Vienna Prediction Model不能区分发展为复发性VTE的患者和没有复发的VTE。该研究已在www.clinicaltrials.gov上注册为#NCT00973596。

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