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. 2022 Jan 8;22:5. doi: 10.1186/s12872-021-02451-2

Table 4.

Multivariate analysis of risk factors related to maximum CIMT

Maximum CIMT Females Males
Parameter OR p value 95% CI OR p value 95% CI
Lower Upper Lower Upper
Age 1.008 < 0.001* 1.32 2.68 1.009 < 0.001* 1.006 1.013
AOPPs 1.184 0.347 0.833 1.683 2.038 < 0.001* 1.441 2.883
Smoker 1.034 0.3 0.97 1.102 1.013 0.714 0.944 1.088
Hypertension 1.019 0.505 0.964 1.078 0.988 0.759 0.918 1.088
Dyslipidemia 0.972 0.288 0.921 1.025 0.927 0.004* 0.88 0.976
Diabetes 1.043 0.307 0.962 1.13 1.081 0.036* 1.005 1.162
BMI 1 0.935 0.995 1.004 1.008 0.021* 1.001 1.015
HDL-C 0.957 0.124 0.906 1.012 1.002 0.413 0.970 1.078
LDL-C 0.987 0.268 0.963 1.011 1.034 0.003* 1.011 1.057
HbA1c 0.958 0.089 0.911 1.007 1.038 0.134 0.989 1.089
ARB therapy 0.949 0.322 0.855 1.053 0.953 0.166 0.890 1.02

We have performed a multivariate analysis with carotid plaque as a dependent variable adjusted for age and AOPPs for both genders. In these models, AOPPs were not significantly associated with carotid atherosclerosis