title: Non-diabetic hyperglycaemia correlates with angiographic coronary artery disease prevalence and severity.
abstract: OBJECTIVE
  The role of glycaemia as a coronary artery disease (CAD) risk factor is controversial, and the optimal glucose level is still a matter of debate. For this reason, we assessed the prevalence and severity of angiographic CAD across hyperglycaemia categories and in relation to haemoglobin A(1c) (HbA(1c)) levels.
  
  
  METHODS
  We studied 273 consecutive patients without prior revascularization undergoing coronary angiography for suspected ischaemic pain. CAD severity was assessed using three angiographic scores: the Gensini's score; extent score; and arbitrary index. Patients were grouped, according to 2003 American Diabetes Association criteria, into those with normal fasting glucose (NFG), impaired fasting glucose (IFG) and diabetes mellitus (DM).
  
  
  RESULTS
  CAD prevalence was 2.5-fold higher in both the IFG and DM groups compared with the NFG group. Deterioration of glycaemic profile was a multivariate predictor of angiographic CAD severity (extent score: P=0.027; arbitrary index: P=0.007). HbA(1c) levels were significantly higher among CAD patients (P=0.016) and in those with two or more diseased vessels (P=0.023) compared with the non-CAD group. HbA(1c) levels remained predictive of CAD prevalence even after adjusting for conventional risk factors, including DM (adjusted OR: 1.853; 95% CI: 1.269-2.704).
  
  
  CONCLUSIONS
  Non-diabetic hyperglycaemia, assessed either categorically by fasting glucose categories or continuously by HbA(1c) levels, correlates with the poorest angiographic outcomes.
authors.affiliation: 1st Cardiology Department, AHEPA University Hospital, Aristotle University Medical School, 1, St. Kyriakidi Street, 54636 Thessaloniki, Greece. dimikon@auth.gr
authors.forename: D M
authors.initials: DM
authors.lastname: Konstantinou
authors.forename: Y S
authors.initials: YS
authors.lastname: Chatzizisis
authors.forename: G E
authors.initials: GE
authors.lastname: Louridas
authors.forename: G E
authors.initials: GE
authors.lastname: Parcharidis
authors.forename: G D
authors.initials: GD
authors.lastname: Giannoglou
mesh_terms: D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D017023:Coronary Angiography; D003327:Coronary Disease / Q000097:blood / Q000000981:diagnostic imaging / Q000453:epidemiology*; D048909:Diabetes Complications / Q000453:epidemiology; D003920:Diabetes Mellitus / Q000097:blood; D005215:Fasting; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D006943:Hyperglycemia / Q000150:complications*; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin; D014280:Triglycerides