Table 5 Correlation coefficients and p-values of the multivariate regression model for the identification of predictors of white matter hyperintensities (WMH) number and volume.

From: Relation between characteristics of carotid atherosclerotic plaques and brain white matter hyperintensities in asymptomatic patients

Variable

Coefficients (95% CI)

p

Predictors of WMH number

(Intercept)

āˆ’8.4 (āˆ’107.2; 90.5)

0.86

Age

āˆ’0.2 (āˆ’1.6; 1.2)

0.78

Resistant hypertension

28.4 (0.6; 56.2)

0.04*

Number of segments with plaque

7.0 (āˆ’0.2; 14.2)

0.05

Presence of ulcer

35.5 (5.3; 65.7)

0.02*

Degree of stenosis (Doppler)

18.1 (āˆ’3.5; 39.6)

0.09

Predictors of WMH volume

(Intercept)

āˆ’3351.2 (āˆ’15744.8; 9042.5)

0.59

Age

āˆ’9.8 (āˆ’195.9; 156.4)

0.82

Resistant hypertension

3942.3 (452.6; 7431.9)

0.02*

Number of segments with plaque

743.4 (āˆ’154.6; 1641.4)

0.10

Presence of ulcer

3088.4 (āˆ’701.6; 6879.2)

0.10

Degree of stenosis (Doppler)

2871.2 (162.8; 5579.5)

0.03*

  1. 95% CI = 95% confidence interval. *p < 0.05.