title: Comparing Arterial Function Parameters for the Prediction of Coronary Heart Disease Events: The Multi-Ethnic Study of Atherosclerosis (MESA).
abstract: Arterial dysfunction has been linked to decline in cardiac function and increased risk of cardiovascular disease events. We calculated the value of arterial function, measured at baseline (2000-2002), in predicting time to first coronary heart disease (CHD) event (median follow-up, 10.2 years) among participants in the Multi-Ethnic Study of Atherosclerosis (MESA). Measures included the following: C1and C2, derived from diastolic pulse contour analysis from the radial artery blood pressure waveform obtained by tonometry (n = 6,336); carotid distensibility and Young's elastic modulus at the carotid artery, derived from carotid artery ultrasonography (n = 6,531 and 6,528); and aortic distensibility, measured using cardiac magnetic resonance imaging (n = 3,677). After adjustment, the hazard ratio for a CHD event per standard-deviation increment in arterial function was 0.97 (95% confidence interval (CI): 0.86, 1.10) for C1, 0.73 (95% CI: 0.63, 0.86) for C2, 0.98 (95% CI: 0.86, 1.11) for carotid distensibility, 0.99 (95% CI: 0.90, 1.09) for Young's modulus, and 0.90 (95% CI: 0.74, 1.10) for aortic distensibility. We examined the area under the receiver operating characteristic curve for the model with full adjustment plus the addition of each measure individually. C2provided additional discrimination for the prediction of CHD (area under the curve = 0.736 vs. 0.743; P = 0.04). Lower C2was associated with a higher risk of future CHD events.
authors.forename: Elizabeth K
authors.initials: EK
authors.lastname: Hom
authors.forename: Daniel A
authors.initials: DA
authors.lastname: Duprez
authors.forename: David R
authors.initials: DR
authors.lastname: Jacobs
authors.forename: David A
authors.initials: DA
authors.lastname: Bluemke
authors.forename: Lyndia C
authors.initials: LC
authors.lastname: Brumback
authors.forename: Joseph F
authors.initials: JF
authors.lastname: Polak
authors.forename: Carmen A
authors.initials: CA
authors.lastname: Peralta
authors.forename: Philip
authors.initials: P
authors.lastname: Greenland
authors.forename: Sheryl L
authors.initials: SL
authors.lastname: Magzamen
authors.forename: João A C
authors.initials: JA
authors.lastname: Lima
authors.forename: Alban
authors.initials: A
authors.lastname: Redheuil
authors.forename: David M
authors.initials: DM
authors.lastname: Herrington
authors.forename: James H
authors.initials: JH
authors.lastname: Stein
authors.forename: Dhananjay
authors.initials: D
authors.lastname: Vaidya
authors.forename: Pamela
authors.initials: P
authors.lastname: Ouyang
authors.forename: Joel D
authors.initials: JD
authors.lastname: Kaufman
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001018:Aortic Diseases / Q000000981:diagnostic imaging*; D062186:Arterial Pressure / Q000502:physiology*; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000032:analysis; D002114:Calcinosis / Q000000981:diagnostic imaging; D002339:Carotid Arteries / Q000000981:diagnostic imaging*; D002784:Cholesterol / Q000097:blood; D003327:Coronary Disease / Q000453:epidemiology* / Q000473:pathology / Q000503:physiopathology; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D015337:Multicenter Studies as Topic; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D012307:Risk Factors; D014463:Ultrasonography; D014481:United States / Q000453:epidemiology; D059289:Vascular Stiffness / Q000502:physiology*
chemical_list: D001786:Blood Glucose; D002097:C-Reactive Protein; D002784:Cholesterol
keywords: arteries; coronary disease; vascular stiffness