title: Comparison of atherosclerotic plaque burden and composition between diabetic and non diabetic patients by non invasive CT angiography.
abstract: Type 2 diabetes mellitus (DM) is associated with a higher risk of cardiovascular disease and atherosclerotic burden. However little data exists in regards to plaque distribution and plaque composition in these patients. To assess for differences in the coronary plaques burden and composition among symptomatic patients with and without type 2 DM using multidetector computed tomography angiography (MDCTA). The 416 symptomatic patients (64% males, mean age: 61 +/- 13 years) with 61 (15%) reporting type 2 DM, who underwent contrast-enhanced MDCTA were studied. Enrolled patients had an intermediate to high pre-test probability of obstructive coronary artery disease. Multivariate analysis was used to correct for differences in age and gender. Patients with type 2 DM were more likely to have significant stenosis >or=70% in at least one coronary segments (33% in type 2 DM vs. 18% in non diabetic, P = 0.013), whereas 11% of both type 2 DM and non diabetics had stenosis of 50-70% (P = NS). Also type 2 DM patients had a higher number of coronary segments with mixed plaques compared to nondiabetic patients (1.67 +/- 2.01 vs. 1.23 +/- 1.61, P = 0.05), whereas no such differences were observed for non-calcified or calcified plaques. Nearly half (43%) of type 2 DM had coronary artery calcium scores (CACS) >or=400 vs. 29% in non diabetic patients (P = 0.03). Patients with type 2 DM tend to have atherosclerotic plaques which are more likely to be mixed in nature. Future studies need to elucidate the prognostic value of differences in plaque characteristics observed according to type 2 diabetic status.
authors.affiliation: Section of Cardiology, Medical College of Georgia, Augusta, GA 30912, USA. ibebuogu@yahoo.com
authors.forename: Uzoma N
authors.initials: UN
authors.lastname: Ibebuogu
authors.forename: Khurram
authors.initials: K
authors.lastname: Nasir
authors.forename: Ambarish
authors.initials: A
authors.lastname: Gopal
authors.forename: Naser
authors.initials: N
authors.lastname: Ahmadi
authors.forename: Song S
authors.initials: SS
authors.lastname: Mao
authors.forename: Emily
authors.initials: E
authors.lastname: Young
authors.forename: Lily
authors.initials: L
authors.lastname: Honoris
authors.forename: Vivek K
authors.initials: VK
authors.lastname: Nuguri
authors.forename: Robert S
authors.initials: RS
authors.lastname: Lee
authors.forename: Nudrat
authors.initials: N
authors.lastname: Usman
authors.forename: Babak
authors.initials: B
authors.lastname: Rostami
authors.forename: Raveen
authors.initials: R
authors.lastname: Pal
authors.forename: Ferdinand
authors.initials: F
authors.lastname: Flores
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Budoff
mesh_terms: D000368:Aged; D002114:Calcinosis / Q000000981:diagnostic imaging* / Q000209:etiology; D003287:Contrast Media; D017023:Coronary Angiography / Q000379:methods*; D023921:Coronary Stenosis / Q000000981:diagnostic imaging* / Q000209:etiology; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000000981:diagnostic imaging; D003925:Diabetic Angiopathies / Q000000981:diagnostic imaging* / Q000209:etiology; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011856:Radiographic Image Enhancement; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed
chemical_list: D003287:Contrast Media