Literature DB >> 33609109

Diagnostic performance of D-dimer in predicting venous thromboembolism and acute aortic dissection.

Vitali Koch, Moritz Biener, Matthias Müller-Hennessen, Mershad Vafaie, Ingo Staudacher, Hugo A Katus, Evangelos Giannitsis.   

Abstract

BACKGROUND: D-dimer is elevated in a variety of conditions. The purpose of this study was to assess the positive predictive value of D-dimer to rule in patients with confirmed pulmonary embolism, deep vein thrombosis, acute aortic dissection or thrombosis of the upper extremity in comparison to patients with elevated D-dimer for other reasons. METHODS AND
RESULTS: We studied 1334 patients presenting to the emergency department with pulmonary embolism (n=193), deep vein thrombosis (n=73), acute aortic dissection (n=22), thrombosis of the upper extremity (n=8) and 1038 controls. The positive predictive value was increased with higher D-dimer concentrations improving the ability to identify diseases with high thrombus burden. Patients with venous thromboembolism, acute aortic dissection and thrombosis of the upper extremity showed a maximum positive predictive value of 85.2% at a D-dimer level of 7.8 mg/L (95% confidence interval (CI) 78.1 to 90.4). The maximum positive predictive value was lower in cancer patients with venous thromboembolism, acute aortic dissection and thrombosis of the upper extremity, reaching 68.9% at a D-dimer level of 7.5 mg/L (95% CI 57.4 to 78.4). The positive likelihood ratio was very consistent with the positive predictive value. Using a cut-off level of 0.5 mg/L, D-dimer showed a high sensitivity of at least 93%, but a very low specificity of nearly 0%. Conversely, an optimised cut-off value of 4.6 mg/L increased specificity to 95% for the detection of life-threatening venous thromboembolism, acute aortic dissection or thrombosis of the upper extremity at the costs of moderate sensitivities (58% for pulmonary embolism, 41% for deep vein thrombosis, 65% for pulmonary embolism with co-existent deep vein thrombosis, 50% for acute aortic dissection and 13% for thrombosis of the upper extremity). Using the same cut-off in cancer patients, higher values were observed for sensitivity at a specificity level of more than 95%. The area under the curve for the discrimination of venous thromboembolism/acute aortic dissection/thrombosis of the upper extremity from controls was significantly higher in cancer versus non-cancer patients (area under the curve 0.905 in cancer patients, 95% CI 0.89 to 0.92, vs. area under the curve 0.857 in non-cancer patients, 95% CI 0.84 to 0.88; P=0.0349).
CONCLUSION: D-dimers are useful not only to rule out but also to rule in venous thromboembolism and acute aortic dissection with an at least moderate discriminatory ability, both in patients with and without cancer. © The European Society of Cardiology 2020.

Entities:  

Keywords:  D-dimer; diagnostic performance; positive predictive value; pulmonary embolism; specificity; venous thromboembolism

Year:  2020        PMID: 33609109     DOI: 10.1177/2048872620907322

Source DB:  PubMed          Journal:  Eur Heart J Acute Cardiovasc Care        ISSN: 2048-8726


  3 in total

1.  Cardiopulmonary Exercise Testing and Cardiac Biomarker Measurements in Young Football Players: A Pilot Study.

Authors:  Alexandru-Dan Costache; Mihai Roca; Cezar Honceriu; Irina-Iuliana Costache; Maria-Magdalena Leon-Constantin; Ovidiu Mitu; Radu-Ștefan Miftode; Alexandra Maștaleru; Dan Iliescu-Halițchi; Codruța-Olimpiada Halițchi-Iliescu; Adriana Ion; Ștefania-Teodora Duca; Delia-Melania Popa; Beatrice Abălasei; Veronica Mocanu; Florin Mitu
Journal:  J Clin Med       Date:  2022-05-14       Impact factor: 4.964

2.  PaCO2-EtCO2 Gradient and D-dimer in the Diagnosis of Suspected Pulmonary Embolism.

Authors:  Sayed Hamed Khajebashi; Maryam Mottaghi; Mohsen Forghani
Journal:  Adv Biomed Res       Date:  2021-11-26

3.  A Novel Serum Biomarker Model to Discriminate Aortic Dissection from Coronary Artery Disease.

Authors:  Peijiang Lu; Xin Feng; Rui Li; Peng Deng; Shiliang Li; Jiewen Xiao; Jing Fang; Xingyu Wang; Chang Liu; Qiuxia Zhu; Jing Wang; Zemin Fang; Lu Gao; Sen Guo; Xue-Jun Jiang; Xue-Hai Zhu; Tingting Qin; Xiang Wei; Xin Yi; Ding-Sheng Jiang
Journal:  Dis Markers       Date:  2022-07-20       Impact factor: 3.464

  3 in total

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