title: Combined use of apolipoprotein B/apolipoprotein A1 ratio and non-high-density lipoprotein cholesterol before routine clinical lipid measurement in predicting coronary heart disease.
abstract: OBJECTIVE
  Our aim was to examine whether the combined use of apolipoprotein B (apoB)/apolipoprotein A1 (apoA1) and non-high-density lipoprotein cholesterol (non-HDL-C) was useful before routine clinical lipid measurement in predicting coronary heart disease (CHD).
  
  
  METHODS
  In total, 826 patients were enrolled and they were classified into a CHD group (532 cases) and a normal group (294 cases) according to the results of coronary angiography. Laboratory data including fasting lipid profile were obtained after an overnight fast. Serum apoB/apoA1 ratio and non-HDL-C were calculated. Logistic regression was applied to estimate the cross-sectional association between the apoB/apoA1 ratio, non-HDL-C, and CHD. Receiver operating characteristics curve analysis was used to determine the value of apoB/apoA1 ratio and non-HDL-C in the diagnosis of CHD.
  
  
  RESULTS
  The associations with an increased risk of CHD were much stronger for the apoB/apoA1 ratio [odds ratio (OR)=8.941, 95% confidence interval (CI) 4.363-18.323] than for non-HDL-C (OR=1.373, 95% CI 1.163-1.622). The patients in the top quartile of the apoB/apoA1 distribution had an OR of 7.321 (95% CI 3.891-13.771) compared with those in the bottom quartile. Patients with combined high levels of apoB/apoA1 and non-HDL-C (N=92, 79.31%) had the highest risk of CHD. The combined use of apoB/apoA1 ratio and non-HDL-C (0.762; 95% CI 0.677-0.847) showed greater receiver operating characteristics area than its individual components or other lipid profiles.
  
  
  CONCLUSIONS
  The combination of apoB/apoA1 and non-HDL-C had even greater predictive value than its individual components or other lipid profiles.
authors.affiliation: Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
authors.forename: Liting
authors.initials: L
authors.lastname: Pan
authors.forename: Guoping
authors.initials: G
authors.lastname: Lu
authors.forename: Zhenyue
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016632:Apolipoprotein A-I / Q000097:blood*; D053299:Apolipoprotein B-100 / Q000097:blood*; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D016009:Chi-Square Distribution; D002784:Cholesterol / Q000097:blood*; D017023:Coronary Angiography; D003327:Coronary Disease / Q000097:blood* / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011379:Prognosis; D012372:ROC Curve; D012189:Retrospective Studies; D012307:Risk Factors; D015854:Up-Regulation
chemical_list: C505693:APOA1 protein, human; C569471:APOB protein, human; D016632:Apolipoprotein A-I; D053299:Apolipoprotein B-100; D015415:Biomarkers; D002784:Cholesterol