title: Association of NT-proBNP and multiple biomarkers with severity of angiographic coronary artery disease in diabetic and pre-diabetic Chinese patients.
abstract: BACKGROUND
  Little is known about the plasma levels of N-terminal pro-brain natriuretic peptide (NT-proBNP), and the relationship between the severity of coronary heart disease (CHD) with NT-proBNP and multiple biomarkers in diabetic and pre-diabetic patients, compared to individuals with normal glucose levels.
  
  
  METHODS
  Four hundred and fifteen consecutive Chinese patients of both sexes were assigned to three groups on the basis of the new hemoglobin (Hb) A1c (HbA1c) cut-off points for diagnosis of diabetes and pre-diabetes. The three groups were divided into tertiles according to NT-proBNP, hs-CRP, cystatin C, and troponin T levels. Gensini scores were compared among the three groups and biomarker tertiles. Receiver operating characteristic (ROC) curves were used to obtain the angiographic CHD cut-off points for each biomarker. Stepwise multivariate linear correlation analysis was applied to examine the association between the severity of CHD and biomarker levels.
  
  
  RESULTS
  Gensini scores increased with increasing biomarker tertile levels and HbA1c. Gensini scores were significantly different in the middle and upper NT-proBNP tertiles of the diabetic, pre-diabetic and control groups. NT-proBNP had the highest positive and negative predictive values and area under the curve for CHD. Only NT-proBNP was identified as an independent variable for Gensini score.
  
  
  CONCLUSIONS
  Plasma NT-proBNP may be an important biomarker to evaluate the severity of CHD and screen for CHD in diabetic or pre-diabetic patients.
authors.affiliation: Institute of Endocrinology and Diabeteology, Shanghai, China.
authors.forename: Zhou
authors.initials: Z
authors.lastname: Fang
authors.forename: Linuo
authors.initials: L
authors.lastname: Zhou
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Bao
authors.forename: Wei
authors.initials: W
authors.lastname: Ding
authors.forename: Haiming
authors.initials: H
authors.lastname: Shi
authors.forename: Xinping
authors.initials: X
authors.lastname: Luo
authors.forename: Renming
authors.initials: R
authors.lastname: Hu
mesh_terms: D000368:Aged; D044466:Asian People; D015415:Biomarkers / Q000097:blood*; D002097:C-Reactive Protein / Q000378:metabolism; D002681:China; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000097:blood* / Q000175:diagnosis / Q000000981:diagnostic imaging; D055316:Cystatin C / Q000097:blood; D003920:Diabetes Mellitus / Q000097:blood* / Q000208:ethnology; D005260:Female; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D020097:Natriuretic Peptide, Brain / Q000097:blood*; D010446:Peptide Fragments / Q000097:blood*; D011236:Prediabetic State / Q000097:blood / Q000208:ethnology; D012372:ROC Curve; D012720:Severity of Illness Index; D020107:Troponin T / Q000097:blood
chemical_list: D015415:Biomarkers; D002097:C-Reactive Protein; D055316:Cystatin C; D006442:Glycated Hemoglobin; D020097:Natriuretic Peptide, Brain; D010446:Peptide Fragments; D020107:Troponin T; C109794:pro-brain natriuretic peptide (1-76)