Evaluation of Soluble P-Selectin as a Marker for the Diagnosis of Deep Venous Thrombosis
Objective: The combination of D-dimer and Wells score can exclude, but not confirm, the diagnosis of deep venous thrombosis (DVT). Since thrombosis and inflammation are interrelated, we evaluated the combination of soluble P-selectin (sPsel) with other inflammatory biomarkers for the diagnosis of DV...
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Published in | Clinical and applied thrombosis/hemostasis Vol. 17; no. 4; pp. 425 - 431 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.08.2011
SAGE PUBLICATIONS, INC |
Subjects | |
Online Access | Get full text |
ISSN | 1076-0296 1938-2723 1938-2723 |
DOI | 10.1177/1076029611405032 |
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Summary: | Objective: The combination of D-dimer and Wells score can exclude, but not confirm, the diagnosis of deep venous thrombosis (DVT). Since thrombosis and inflammation are interrelated, we evaluated the combination of soluble P-selectin (sPsel) with other inflammatory biomarkers for the diagnosis of DVT. Methods: Sixty-two positive and one hundred and sixteen patients with negative DVT, by duplex scan, were prospectively evaluated for sPsel, D-dimer, C-reactive protein (CRP), microparticles (MPs; total, leukocyte, and platelet-derived and tissue factor positive microparticles), and clinical Wells score. Results: Biomarkers and clinical scores that differentiated DVT positives from negatives were sPsel (87.3 vs 53.4 ng/mL, P < .0001), D-dimer (5.8 vs 2.1 mg/ L, P < .0001), CRP (2.1 vs 0.8 μg/mL, P < .0005), and Wells score (3.2 vs 2.0, P < .0001). For MP analysis, platelet-derived MPs were found to differentiate DVT from negatives. Using multivariable logistic regression, a combination of sPsel and Wells score could establish the diagnosis of DVT (cut point ≥90 ng/mL + Wells ≥2), with a specificity of 96% and positive predictive value (PPV) of 100%, and could exclude DVT diagnosis (cut point ≤60 ng/mL and Wells <2) with a sensitivity of 99%, a specificity of 33%, and a negative predictive value (NPV) of 96%. Conclusion: This study establishes a biomarker and clinical profile combination that can both confirm and exclude the diagnosis of DVT. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1076-0296 1938-2723 1938-2723 |
DOI: | 10.1177/1076029611405032 |