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Multivariate analysis of vascular risk factors establishes age as the most powerful predictor of IMT in both men and women.

Abstract Information  
Abstract Submitter:
Doctor  Matangi  Murray - This email address is being protected from spambots. You need JavaScript enabled to view it.
Event: EuroPRevent 2011
Status: Accepted
Number: 10339
Title: Multivariate analysis of vascular risk factors establishes age as the most powerful predictor of IMT in both men and women.
Evaluation Topic: 01.11 - Vascular disease (Prevention & Epidemiology)
Acronym Abbreviation:  
Acronym:  
Category: Not Member of EACPR
Options: No Options
 
Abstract Authors    
D. Armstrong1, U. Jurt1, A. Dillon1, D. Brouillard1, M. Matangi1 - (1) Kingston Heart Clinic, Kingston, Canada
 
Abstract Content 100%  
Purpose. To assess using multivariate stepwise linear regression analysis the relative importance of traditional vascular risk factors in predicting common carotid artery (CCA) intimal medial thickness (IMT) in both men and women.
Methods. CARDIOfile, our cardiology database and reporting system was searched for all patients who had blood work, urinalysis, carotid duplex imaging, ankle-brachial index measurement and cardiology consultation within 90 days of each other. Any CCA IMT >1.50mm on either side was excluded, as this constitutes plaque. For simplicity we only assessed the L) CCA IMT as in our database and consistent with published data the L) CCA IMT is on average thicker. All data were entered into our JMP 7 program for statistical analysis. Multivariate analysis was performed using stepwise linear regression. The unpaired t-test was used to assess differences between mean values. A P value of <0.05 was considered significant for either test.
Results. See Table 1. The mean L) CCA IMT for women was 0.91±0.22mm and for men 0.94±0.23, (P=0.3333).
Conclusions. Using multivariate analysis, age was the most powerful predictor of CCA IMT in both men and women (P<0.0001). In men both abdominal girth and fasting blood sugar were significantly associated with L) CCA IMT. Other components of the metabolic syndrome (viz: Systolic BP, Triglycerides and HDL cholesterol) were not found to be significant.
Table 1.
  Males Females Males Females
Number

168

79

MVA SLR MVA SLR
Age

63.5±9.5

64.7±9.9

<0.00001

<0.00001
Abdominal girth

103.5±11.2

96.2±14.9

0.0427

0.2608

Fasting glucose

5.8±1.5

6.1±1.7

0.0417

0.5240

BMI

29.2±4.2

29.7±6.4

0.2942

0.1987

Triglycerides

1.52±0.71

1.38±0.61

0.5975

0.8614

HB A1C 0.060±0.009

0.060±0.008

0.8178

0.5055

ABI

1.13±0.15

1.05±0.18

0.1112

0.1582

Systolic BP

138.2±18.7

138.8±17.5

0.5619

0.5223

LDL Chol

2.91±1.10

2.71±0.95

0.2928

0.3440

HDL Chol

1.29±1.29

1.31±0.38

0.9598

0.7504

Microalbuminuria

28.0±52.0

22.0±37.6

0.7521

0.8969

MVA SLR = multivariate analysis using stepwise linear regression.