title: Estimation of plasma apolipoprotein B concentration using routinely measured lipid biochemical tests in apparently healthy Asian adults.
abstract: BACKGROUND
  Increased low-density lipoprotein cholesterol (LDL) concentration is associated with increased risk of coronary heart disease (CHD) but a substantial risk of cardiovascular disease often remains after LDL concentrations have been treated to target. Apolipoprotein B (apo B) is the major apolipoprotein contained within atherogenic lipoproteins such as LDL, and apo B is a more reliable indicator of cardiovascular risk than LDL concentration.
  
  
  OBJECTIVE
  Our aim was to develop a formula for calculating apo B using lipid biochemistry measurements that are commonly available in clinical practice. We examined the clinical and laboratory data from 73,047 Koreans who underwent a medical health check that included apolipoprotein B concentration. The study sample was randomly divided into a training set for prediction model building and a validation set of equal size. Multivariable linear regression analysis was used to develop a prediction model equation for estimating apo B and to validate the developed model.
  
  
  RESULTS
  The best results for estimating apo B were derived from an equation utilising LDL and triglyceride (TG) concentrations [ApoB = -33.12 + 0.675*LDL + 11.95*ln(tg)]. This equation predicted the apo B result with a concordance correlation coefficient (CCC and 95%CIs) = 0.936 (0.935,0.937)).
  
  
  CONCLUSIONS
  Our equation for predicting apo B concentrations from routine analytical lipid biochemistry provides a simple method for obtaining precise information about an important cardiovascular risk marker.
authors.affiliation: Division of Cardiology, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, #108, Pyung Dong, Seoul, Jongro-Ku 110-746, Republic of Korea.
authors.forename: Dong-Sik
authors.initials: DS
authors.lastname: Cho
authors.forename: Sookyoung
authors.initials: S
authors.lastname: Woo
authors.forename: Seonwoo
authors.initials: S
authors.lastname: Kim
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Byrne
authors.forename: Joon-Hyuk
authors.initials: JH
authors.lastname: Kong
authors.forename: Ki-Chul
authors.initials: KC
authors.lastname: Sung
mesh_terms: D000328:Adult; D000465:Algorithms; D053299:Apolipoprotein B-100 / Q000097:blood*; D044466:Asian People; D015415:Biomarkers / Q000097:blood; D001774:Blood Chemical Analysis; D015992:Body Mass Index; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood*; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D012016:Reference Values; D015203:Reproducibility of Results; D056910:Republic of Korea; D014280:Triglycerides / Q000097:blood*
chemical_list: D053299:Apolipoprotein B-100; D015415:Biomarkers; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D014280:Triglycerides; D002784:Cholesterol