Plasma d-Dimer as a Useful Marker Predicts Severity of Atherosclerotic Lesion and Short-Term Outcome in Patients With Coronary Artery Disease

• Published in: Clinical and applied thrombosis/hemostasis 2016-10, Vol.22 (7), p.633-640
• Main Authors: Gong, Ping, Yang, Sheng-Hua, Li, Sha, Luo, Song-Hui, Zeng, Rui-Xiang, Zhang, Yan, Guo, Yuan-Lin, Zhu, Cheng-Gang, Xu, Rui-Xia, Li, Jian-Jun
• Format: Article
• Language: English
• Subjects: Atherosclerosis; Biomarkers - blood; Cardiovascular disease; Coronary Artery Disease - blood; Coronary vessels; Female; Fibrin Fibrinogen Degradation Products - therapeutic use; Health risk assessment; Humans; Male; Prospective Studies; Risk Factors; Severity of Illness Index
• ISSN: 1076-0296; 1938-2723
• DOI: 10.1177/1076029616634885

Increased d-dimer is indicative of a hypercoagulable state and found to be associated with acute coronary syndromes. The present study aimed to evaluate whether plasma d-dimer levels could predict subsequent major clinical events in patients with coronary artery disease (CAD). First, 2209 angiographic-proven patients with CAD were consecutively enrolled. Then, all patients were subjected to follow up for an average of 18 months (ranged from 14 to 1037 days). The relationships of the plasma d-dimer with the severity of CAD and future clinical outcomes were evaluated. We found that plasma d-dimer was higher in patients with prior myocardial infarction (MI) than that in patients with nonprior MI (P = .006). Multivariate linear regression analysis suggested that the plasma d-dimer was linked to the severity of CAD assessed by Gensini score (β = 0.052, 95% confidence interval [CI]: 1.20-6.84, P = .005) even after adjusting for confounding factors. During the follow-up, 42 patients underwent prespecified outcomes. After adjustment for multiple variables in the Cox regression model, the d-dimer levels remained to be a potential predictor of total outcome (hazard ratio = 1.22, 95% CI: 1.09-1.37, P = .001). Therefore, plasma d-dimer levels appeared to be a useful predictor for the severity of CAD and the subsequent major clinical events.