title: PROCAM Study: risk prediction for myocardial infarction using microfluidic high-density lipoprotein (HDL) subfractionation is independent of HDL cholesterol.
abstract: BACKGROUND
  High-density lipoprotein (HDL) subfractions are among the new emerging risk factors for atherosclerosis. In particular, HDL 2b has been shown to be linked to cardiovascular risk. This study uses a novel microfluidics-based method to establish HDL 2b clinical utility using samples from the Prospective Cardiovascular Muenster (PROCAM) Study.
  
  
  METHODS
  Method performance was established by measuring accuracy, precision, linearity and inter-site precision. Serum samples from 503 individuals collected in the context of the PROCAM study were analyzed by electrophoresis on a microfluidics system. Of these, 251 were male survivors of myocardial infarction (cases), while 252 individuals were matched healthy controls. HDL cholesterol, HDL 2b concentration and HDL 2b percentage were analyzed.
  
  
  RESULTS
  This novel method showed satisfactory assay performance with an inter-site coefficient of variance of <10% for HDL 2b percentage. Parallel patient testing on 52 samples between two sites resulted in a correlation coefficient of r=0.95. Significant differences were observed in the HDL 2b subfraction between cases and controls independent of other risk factors. Including HDL 2b percentage in logistic regression reduced the number of false positives from 64 to 39 and the number of false negative cases from 48 to 45, in the context of this study.
  
  
  CONCLUSIONS
  The novel method showed satisfactory assay performance in addition to drastically reduced analysis times and improved ease of use as compared to other methods. Clinical utility of HDL 2b was demonstrated supporting the findings of previous studies.
authors.affiliation: Agilent Technologies Inc., Santa Clara, CA 95051, USA. odilo_mueller@agilent.com
authors.forename: Odilo
authors.initials: O
authors.lastname: Mueller
authors.forename: Elaine
authors.initials: E
authors.lastname: Chang
authors.forename: David
authors.initials: D
authors.lastname: Deng
authors.forename: Torsten
authors.initials: T
authors.lastname: Franz
authors.forename: Debra
authors.initials: D
authors.lastname: Jing
authors.forename: Robert
authors.initials: R
authors.lastname: Kincaid
authors.forename: Yves
authors.initials: Y
authors.lastname: Konigshofer
authors.forename: Martin
authors.initials: M
authors.lastname: Kratzmeier
authors.forename: Michael
authors.initials: M
authors.lastname: McNulty
authors.forename: Hao
authors.initials: H
authors.lastname: Qian
authors.forename: Juergen
authors.initials: J
authors.lastname: Schneider
authors.forename: Helmut
authors.initials: H
authors.lastname: Schulte
authors.forename: Udo
authors.initials: U
authors.lastname: Seedorf
authors.forename: Xioadan
authors.initials: X
authors.lastname: Tian
authors.forename: Mark
authors.initials: M
authors.lastname: Van Cleve
authors.forename: Dorothy
authors.initials: D
authors.lastname: Yang
authors.forename: Gerd
authors.initials: G
authors.lastname: Assmann
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D001774:Blood Chemical Analysis / Q000379:methods*; D008076:Cholesterol, HDL / Q000097:blood*; D015331:Cohort Studies; D006801:Humans; D008297:Male; D046210:Microfluidic Analytical Techniques; D008875:Middle Aged; D009203:Myocardial Infarction / Q000097:blood* / Q000175:diagnosis*; D015203:Reproducibility of Results; D012306:Risk; D013347:Subcellular Fractions
chemical_list: D008076:Cholesterol, HDL