title: Intravascular ultrasound measures of coronary  atherosclerosis are associated with the Framingham risk  score: an analysis from a global IVUS registry.
abstract: OBJECTIVE
  In addition to an adjunctive imaging platform during coronary angiography, intravascular ultrasound (IVUS) with Virtual Histology (VH) is increasingly being used to quantify coronary atherosclerosis. The relationship between VH-IVUS measures of coronary atherosclerosis and traditional cardiovascular risk factors has not been completely described. The objective of this study was to determine if an association exists between VH-IVUS measures of coronary atherosclerosis and the Framingham risk score in a prospective, multinational registry.
  
  
  RESULTS
  Patients enrolled from 2004-2006 at 37 multinational centres in the prospective VHIVUS Global Registry were analysed. All subjects underwent diagnostic coronary angiography followed by IVUS. A Framingham risk score (FRS) was calculated for each subject, then stratified into three exclusive estimates (<10%, 10-19%, or >or= 20%) for future coronary heart disease (CHD) event risk over 10 years. Among 531 patients, plaque volume of the most diseased 10 mm segment increased with increasing FRS (P=0.006, adjusted for multiple comparisons). Patients with higher FRS estimates of CHD risk had a higher proportion of plaque classified as thin cap fibroatheroma compared with patients in the middle and lower risk score categories (21.4% vs 15.2% and 11.3%, respectively, P=0.008, adjusted for multiple comparisons).
  
  
  CONCLUSIONS
  Using data from a large, multinational VH-IVUS registry we describe an association between the Framingham risk score and VH-IVUS measures of atherosclerosis within the most diseased 10 mm segment, namely plaque volume and the proportion of thin cap fibroatheroma.
authors.affiliation: Mid America Heart Institute, University of Missouri Kansas City, Kansas City, MO 64111, USA. smarso@saint-lukes.org
authors.forename: Steven P
authors.initials: SP
authors.lastname: Marso
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Frutkin
authors.forename: Sameer K
authors.initials: SK
authors.lastname: Mehta
authors.forename: John A
authors.initials: JA
authors.lastname: House
authors.forename: Justin R
authors.initials: JR
authors.lastname: McCrary
authors.forename: Volker
authors.initials: V
authors.lastname: Klauss
authors.forename: Amir
authors.initials: A
authors.lastname: Lerman
authors.forename: Martin B
authors.initials: MB
authors.lastname: Leon
authors.forename: Anuja
authors.initials: A
authors.lastname: Nair
authors.forename: Pauliina
authors.initials: P
authors.lastname: Margolis
authors.forename: Raimund
authors.initials: R
authors.lastname: Erbel
authors.forename: Kenya
authors.initials: K
authors.lastname: Nasu
authors.forename: Francois
authors.initials: F
authors.lastname: Schiele
authors.forename: James
authors.initials: J
authors.lastname: Margolis
mesh_terms: D000368:Aged; D001208:Asia; D016009:Chi-Square Distribution; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D018450:Disease Progression; D005060:Europe; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D012042:Registries; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013997:Time Factors; D018084:Ultrasonography, Interventional; D014481:United States