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d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model

BACKGROUND: Patients with unprovoked venous thromboembolism (VTE) can be stratified according to their recurrence risk based on their sex, the VTE location, and d‐dimer measured 3 weeks after anticoagulation by the Vienna Prediction Model. We aimed to expand the model to also assess the recurrence r...

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Autores principales: Eichinger, Sabine, Heinze, Georg, Kyrle, Paul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959721/
https://www.ncbi.nlm.nih.gov/pubmed/24385451
http://dx.doi.org/10.1161/JAHA.113.000467
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author Eichinger, Sabine
Heinze, Georg
Kyrle, Paul A.
author_facet Eichinger, Sabine
Heinze, Georg
Kyrle, Paul A.
author_sort Eichinger, Sabine
collection PubMed
description BACKGROUND: Patients with unprovoked venous thromboembolism (VTE) can be stratified according to their recurrence risk based on their sex, the VTE location, and d‐dimer measured 3 weeks after anticoagulation by the Vienna Prediction Model. We aimed to expand the model to also assess the recurrence risk from later points on. METHODS AND RESULTS: Five hundred and fifty‐three patients with a first VTE were followed for a median of 68 months. We excluded patients with VTE provoked by a transient risk factor or female hormone intake, with a natural inhibitor deficiency, the lupus anticoagulant, or cancer. The study end point was recurrent VTE, which occurred in 150 patients. d‐Dimer levels did not substantially increase over time. Subdistribution hazard ratios (95% confidence intervals) dynamically changed from 2.43 (1.57 to 3.77) at 3 weeks to 2.27 (1.48 to 3.48), 1.98 (1.30 to 3.02) , and 1.73 (1.11 to 2.69) at 3, 9, and 15 months in men versus women, from 1.84 (1.00 to 3.43) to 1.68 (0.91 to 3.10), 1.49 (0.79 to 2.81) , and 1.44 (0.76 to 2.72) in patients with proximal deep vein thrombosis or pulmonary embolism compared with calf vein thrombosis, and from 1.30 (1.07 to 1.58) to 1.27 (1.06 to 1.51), 1.20 (1.02 to 1.41), and 1.13 (0.95 to 1.36) per doubling d‐dimer. Using a dynamic landmark competing risks regression approach, we generated nomograms and a web‐based calculator to calculate risk scores and recurrence rates from multiple times after anticoagulation. CONCLUSIONS: Risk of recurrent VTE after discontinuation of anticoagulation can be predicted from multiple random time points by integrating the patient's sex, location of first VTE, and serial d‐dimer measurements.
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spelling pubmed-39597212014-03-20 d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model Eichinger, Sabine Heinze, Georg Kyrle, Paul A. J Am Heart Assoc Original Research BACKGROUND: Patients with unprovoked venous thromboembolism (VTE) can be stratified according to their recurrence risk based on their sex, the VTE location, and d‐dimer measured 3 weeks after anticoagulation by the Vienna Prediction Model. We aimed to expand the model to also assess the recurrence risk from later points on. METHODS AND RESULTS: Five hundred and fifty‐three patients with a first VTE were followed for a median of 68 months. We excluded patients with VTE provoked by a transient risk factor or female hormone intake, with a natural inhibitor deficiency, the lupus anticoagulant, or cancer. The study end point was recurrent VTE, which occurred in 150 patients. d‐Dimer levels did not substantially increase over time. Subdistribution hazard ratios (95% confidence intervals) dynamically changed from 2.43 (1.57 to 3.77) at 3 weeks to 2.27 (1.48 to 3.48), 1.98 (1.30 to 3.02) , and 1.73 (1.11 to 2.69) at 3, 9, and 15 months in men versus women, from 1.84 (1.00 to 3.43) to 1.68 (0.91 to 3.10), 1.49 (0.79 to 2.81) , and 1.44 (0.76 to 2.72) in patients with proximal deep vein thrombosis or pulmonary embolism compared with calf vein thrombosis, and from 1.30 (1.07 to 1.58) to 1.27 (1.06 to 1.51), 1.20 (1.02 to 1.41), and 1.13 (0.95 to 1.36) per doubling d‐dimer. Using a dynamic landmark competing risks regression approach, we generated nomograms and a web‐based calculator to calculate risk scores and recurrence rates from multiple times after anticoagulation. CONCLUSIONS: Risk of recurrent VTE after discontinuation of anticoagulation can be predicted from multiple random time points by integrating the patient's sex, location of first VTE, and serial d‐dimer measurements. Blackwell Publishing Ltd 2014-02-28 /pmc/articles/PMC3959721/ /pubmed/24385451 http://dx.doi.org/10.1161/JAHA.113.000467 Text en © 2013 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Eichinger, Sabine
Heinze, Georg
Kyrle, Paul A.
d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model
title d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model
title_full d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model
title_fullStr d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model
title_full_unstemmed d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model
title_short d‐Dimer Levels Over Time and the Risk of Recurrent Venous Thromboembolism: An Update of the Vienna Prediction Model
title_sort d‐dimer levels over time and the risk of recurrent venous thromboembolism: an update of the vienna prediction model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959721/
https://www.ncbi.nlm.nih.gov/pubmed/24385451
http://dx.doi.org/10.1161/JAHA.113.000467
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