title: Aortic pulse wave velocity and carotid-femoral pulse wave velocity: similarities and discrepancies.
abstract: The objectives of this study were to determine the relationship between carotid-femoral (cfPWV) and aortic pulse wave velocity (aPWV) and to compare their modulators and association with coronary artery disease (CAD). We studied 107 consecutive patients (68 men) with a mean age of 60.49+/-8.31 years who had stable angina and had been referred for coronary angiography. cfPWV and aPWV were measured simultaneously during cardiac catheterization using the Complior device and aortic pressure waveform recordings, respectively. Based on the presence or absence of significant coronary artery stenosis (CAS) patients were subdivided into a CAS+ or CAS- group. The mean values of cfPWV and aPWV were 10.65+/-2.29 m/s and 8.78+/-2.24 m/s, respectively. They were significantly higher in the CAS+ (n=71) compared with the CAS- (n=36) group and predicted significant CAS independently of cardiovascular risk factors and mean or systolic aortic blood pressure. aPWV and cfPWV were significantly correlated (r=0.70; p<0.001) but the degree of correlation differed significantly (p<0.03) between the CAS+ (r=0.74, p<0.001) and CAS- group (r=0.46, p=0.003). Age and mean aortic blood pressure were independent predictors for aPWV as well as cfPWV. In the receiver operating characteristic (ROC) analysis, aPWV and cfPWV had similar accuracy in identification of significant CAS (AUC [area under the ROC curve]=0.76 and 0.69, respectively; p=0.13). However, neither cfPWV nor aPWV was effective at differentiating the extent of CAD. In conclusion, aPWV and cfPWV are highly correlated parameters with similar determinants and comparable accuracy in predicting significant CAS. The strength of correlation between these two indices differed significantly between subjects with and those without CAS.
authors.affiliation: Department of Cardiac and Vascular Diseases, Jagiellonian University, Collegium Medicum, Kraków, Poland.
authors.forename: Piotr
authors.initials: P
authors.lastname: Podolec
authors.forename: Grzegorz
authors.initials: G
authors.lastname: Kopeć
authors.forename: Jakub
authors.initials: J
authors.lastname: Podolec
authors.forename: Piotr
authors.initials: P
authors.lastname: Wilkołek
authors.forename: Marek
authors.initials: M
authors.lastname: Krochin
authors.forename: Paweł
authors.initials: P
authors.lastname: Rubiś
authors.forename: Marcin
authors.initials: M
authors.lastname: Cwynar
authors.forename: Tomasz
authors.initials: T
authors.lastname: Grodzicki
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Zmudka
authors.forename: Wiesława
authors.initials: W
authors.lastname: Tracz
mesh_terms: D000368:Aged; D001011:Aorta / Q000503:physiopathology*; D001794:Blood Pressure / Q000502:physiology; D002339:Carotid Arteries / Q000503:physiopathology*; D003324:Coronary Artery Disease / Q000175:diagnosis / Q000209:etiology / Q000503:physiopathology; D005260:Female; D005263:Femoral Artery / Q000503:physiopathology*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012039:Regional Blood Flow / Q000502:physiology; D012044:Regression Analysis; D012307:Risk Factors