title: The Association Between the Cardio-ankle Vascular Index and Other Parameters of Vascular Structure and Function in Caucasian Adults: MARK Study.
abstract: OBJECTIVE
  We assessed whether there is an association between the cardio-ankle vascular index (CAVI) score and the carotid intima media thickness (IMT), the pulse wave velocity (PWV) and the central augmentation index (CAIx) that is independent of the subject's cardiovascular risk and pharmacological treatment.
  
  
  METHODS
  The CAVI score was measured in 500 subjects using a VaSera device and the brachial ankle PWV (ba-PWV) was calculated. A carotid ultrasound was used to measure the IMT. A Mobil-O-Graph device was used to measure the carotid femoral PWV (cf-PWV) and the CAIx. The Framingham-D'Agostino and SCORE scales were used to measure the subject's cardiovascular risk.
  
  
  RESULTS
  The mean value of the CAVI score was 8.59 ± 1.1. IMT, CAIx and PWV maintained a positive association with the CAVI score (p ＜ 0.01) in a multiple linear regression analysis, after adjusting for the subject's cardiovascular risk, body mass index and pharmacological treatment. The cut-off level that gave the maxima sensitivity and specificity to detect a mean IMT of ＞ 0.90 mm was 8.95 (AUC=0.67) for the CAVI score, 8.85 (AUC=0.66) for cf-PWV and 15.10 (AUC=0.66) for ba-PWV. The cut-off to detect a maxima IMT of ＞ 0.90 mm was 8.60 (AUC=0.62) for the CAVI score, 8.85 (AUC=0.64) for cf-PWV and 15.75 (AUC=0.70) for ba-PWV.
  
  
  CONCLUSIONS
  There was a positive association of the CAVI score with vascular structure and function parameters that was independent of cardiovascular risk and any medications being used by the subject. The ability of the CAVI score to predict carotid atherosclerosis is similar to that of cf-PWV and ba-PWV in Caucasian adults.
authors.affiliation: Primary Care Research Unit, the Alamedilla Health Center.
authors.forename: Leticia
authors.initials: L
authors.lastname: Gomez-Sanchez
authors.forename: Luis
authors.initials: L
authors.lastname: Garcia-Ortiz
authors.forename: Maria C
authors.initials: MC
authors.lastname: Patino-Alonso
authors.forename: José I
authors.initials: JI
authors.lastname: Recio-Rodriguez
authors.forename: Guillermo
authors.initials: G
authors.lastname: Frontera
authors.forename: Rafel
authors.initials: R
authors.lastname: Ramos
authors.forename: Ruth
authors.initials: R
authors.lastname: Martí
authors.forename: Cristina
authors.initials: C
authors.lastname: Agudo-Conde
authors.forename: Emiliano
authors.initials: E
authors.lastname: Rodriguez-Sanchez
authors.forename: Jose A
authors.initials: JA
authors.lastname: Maderuelo-Fernández
authors.forename: Manuel A
authors.initials: MA
authors.lastname: Gomez-Marcos
mesh_terms: D000328:Adult; D000368:Aged; D000842:Ankle / Q000098:blood supply; D055109:Ankle Brachial Index; D000886:Anthropometry; D019540:Area Under Curve; D001794:Blood Pressure; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000473:pathology; D002339:Carotid Arteries / Q000473:pathology; D002340:Carotid Artery Diseases / Q000175:diagnosis*; D059168:Carotid Intima-Media Thickness; D003430:Cross-Sectional Studies; D005260:Female; D005263:Femoral Artery / Q000473:pathology; D020022:Genetic Predisposition to Disease; D006801:Humans; D016014:Linear Models; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D063177:Pulse Wave Analysis; D012044:Regression Analysis; D018570:Risk Assessment; D012308:Risk Management; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D044465:White People