2015
DOI: 10.1182/blood-2015-04-641225
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Predicting recurrence after unprovoked venous thromboembolism: prospective validation of the updated Vienna Prediction Model

Abstract: Key Points• The updated Vienna Prediction Model was developed to identify patients with unprovoked VTE who are at low risk of recurrence.• In elderly patients with unprovoked VTE, the model does not discriminate between patients who develop recurrent VTE and those who do not.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 stopp… Show more

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Cited by 42 publications
(37 citation statements)
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“…In the DULCIS management study, patients aged > 70 years had a four‐fold higher risk of recurrent VTE than younger patients. The Vienna prediction rule has been demonstrated to perform poorly when applied to an elderly population (> 65 years) . Our study further confirms and reinforces the low discriminative ability of prediction models in patients aged > 65 years.…”
Section: Discussionsupporting
confidence: 78%
“…In the DULCIS management study, patients aged > 70 years had a four‐fold higher risk of recurrent VTE than younger patients. The Vienna prediction rule has been demonstrated to perform poorly when applied to an elderly population (> 65 years) . Our study further confirms and reinforces the low discriminative ability of prediction models in patients aged > 65 years.…”
Section: Discussionsupporting
confidence: 78%
“…Recurrence prediction using available prediction models in elderly patients could be especially important because of higher risk of bleeding related to prolonged anticoagulation. 27 Strengths of this study include the prospective investigation of PE with assessment of several fibrin clot variables. This study is unique in its exploration of whether the plasma fibrin clot phenotype may affect the PE recurrence risk estimation.…”
Section: Discussionmentioning
confidence: 99%
“…53 Recently, the accuracy of the updated VPM has been challenged by a relatively small multicenter cohort study including only elderly patients with unprovoked VTE. 54 In this study, the risk of recurrent VTE did not differ between low-and higher-risk patients at 12 months and the area under the receiver-operator characteristic (ROC) curve for predicting VTE recurrence was just 0.39. It should be remembered that the mean age in the derivation cohort of the VPM was significantly lower, suggesting that predicting relapses in elderly patients may prove difficult.…”
Section: Vpm Score (Vienna Prediction Model)mentioning
confidence: 59%
“…47 Caution should be exercised, however, because the VPM may underestimate recurrence rates. 53,54 The DASH model might provide different results in our patient, giving some support for therapy discontinuation (especially considering the bleeding history) if D-dimer levels were below 250 ng/mL, while strongly indicating therapy continuation for higher D-dimer levels, as for the HERDOO2 prediction model. We should also consider additional limitations.…”
Section: Use and Limitations Of Available Prediction Modelsmentioning
confidence: 86%