Circulation Journal
Online ISSN : 1347-4820
Print ISSN : 1346-9843
ISSN-L : 1346-9843
Ischemic Heart Disease
Prognostic Value of Combination of Plasma D-Dimer Concentration and Estimated Glomerular Filtration Rate in Predicting Long-Term Mortality of Patients With Stable Coronary Artery Disease
Hiroyuki NaruseJunnichi IshiiHiroshi TakahashiFumihiko KitagawaRyuunosuke OkuyamaHideki KawaiTakashi MuramatsuMasahide HaradaAkira YamadaSadako MotoyamaShigeru MatsuiMutsuharu HayashiMasayoshi SaraiEiichi WatanabeHideo IzawaYukio Ozaki
Author information

2017 Volume 81 Issue 10 Pages 1506-1513


Background:A modestly elevated circulating D-dimer level may be relevant to coronary artery disease (CAD), but its prognostic value, both independently and in combination with estimated glomerular filtration rate (eGFR), for long-term death has not been fully evaluated in stable CAD patients.

Methods and Results:Baseline plasma D-dimer levels and eGFR were measured in 1,341 outpatients (mean age: 65 years) with prior myocardial infarction (MI), coronary revascularization, and/or angiographic evidence of a significant stenosis (>50%) for at least one of the major coronary arteries. Among these patients, 43% had prior MI, 47% had prior coronary revascularization, 41% had multivessel CAD, 14% had paroxysmal or persistent atrial fibrillation, 32% had diabetes, and 32% had chronic kidney disease (eGFR <60 mL/min/1.73 m2). D-dimer levels weakly correlated with eGFR (r=−0.25; P<0.0001). During a mean follow-up period of 73 months, there were 124 deaths, including 61 cardiovascular deaths. Multivariate Cox regression analysis identified D-dimer levels (P=0.001) and eGFR (P=0.006) as independent predictors of all-cause death. Adding both D-dimer and eGFR to a baseline model with established risk factors improved the net reclassification (P<0.005) and integrated discrimination improvement (P<0.05) greater than that of any single biomarker or baseline model alone.

Conclusions:The combinatorial value of assessing D-dimer levels and eGFR may provide useful insight regarding stable CAD patients’ long-term risk stratification.

Information related to the author
Previous article Next article