title: The association of circulating monocyte count with coronary collateral growth in patients with diabetes mellitus.
abstract: The status of inflammation may affect the collateral development in patients with diabetes mellitus (DM). Monocytes were found to have an important role in collateral growth in animal studies. We aimed to investigate the possible association of circulating monocyte count with collateral development in patients with DM and severe coronary artery disease (CAD). We enrolled 134 consecutive patients with DM who had > or =95 stenosis in at least one major coronary artery and investigated the relationship between circulating monocyte count and collateral growth. When we analyzed the coronary angiograms of eligible patients, we found that 64 of them had good collateral growth and 70 had poor collateral growth according to the Cohen-Rentrop method. The monocyte count was significantly different between good and poor collateral growth groups (643 +/- 184 vs. 479 +/- 143 per mm(3), P < 0.001). In the analysis comparing the Rentrop score with the Gensini score and circulating monocyte count, we found significant correlations (r = 0.293, P = 0.001 and r = 0.455, P < 0.001, respectively). The duration of ischemic symptoms tended to be longer in the good collateral group (1.9 +/- 4.1 vs. 0.8 +/- 1.3 years, P = 0.079). The Gensini score was also correlated with the duration of myocardial ischemic symptoms (r = 0.299, P = 0.004). Multivariate analysis revealed an increased monocyte count in the good collateral group [odds ratio (OR), 5.726; 95% confidence interval (CI), 1.817-18.040, P = 0.003, the cut-off value for monocyte was defined as 550 cell/mm(3)]. The increased circulating monocyte count in diabetic patients was evidently related to good coronary collateral growth. This finding may be potentially important in clinical and basic cardiovascular medicine.
authors.affiliation: Department of Cardiology, Gazi University School of Medicine, Besevler, 06500, Ankara, Turkey. sinanaltan@gmail.com
authors.forename: Sinan Altan
authors.initials: SA
authors.lastname: Kocaman
authors.forename: Asife
authors.initials: A
authors.lastname: Sahinarslan
authors.forename: Ahmet
authors.initials: A
authors.lastname: Akyel
authors.forename: Timur
authors.initials: T
authors.lastname: Timurkaynak
authors.forename: Bulent
authors.initials: B
authors.lastname: Boyaci
authors.forename: Atiye
authors.initials: A
authors.lastname: Cengel
mesh_terms: D000368:Aged; D001772:Blood Cell Count; D002784:Cholesterol / Q000097:blood; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging / Q000235:genetics / Q000503:physiopathology*; D003326:Coronary Circulation / Q000502:physiology; D003331:Coronary Vessels / Q000473:pathology*; D003925:Diabetic Angiopathies / Q000097:blood / Q000000981:diagnostic imaging / Q000503:physiopathology*; D005260:Female; D006801:Humans; D006973:Hypertension / Q000503:physiopathology; D007958:Leukocyte Count; D008297:Male; D008487:Medical History Taking; D008875:Middle Aged; D009000:Monocytes / Q000502:physiology*; D009203:Myocardial Infarction / Q000453:epidemiology; D012907:Smoking / Q000503:physiopathology; D014280:Triglycerides / Q000097:blood
chemical_list: D014280:Triglycerides; D002784:Cholesterol