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. 2018 Oct-Dec;41(4):766–774. doi: 10.1590/1678-4685-GMB-2017-0173

Table 2. Logistic Regression * model for CAD in subgroups of Framingham 10-year risk (< 10; 10-20%;>20%) and in total population.

Variables FRS<10% FRS 10%-20% FRS>20% Total
OR p-value OR p-value OR p-value OR p-value
(95% CI) (95% CI) (95% CI) (95% CI)
Hypertension 3.25 (2.52 - 4.18) <0.0001 1.88 (1.39 - 2.56) <0.0001 --- --- 2.10 (1.77 - 2.48) <0.0001
Diabetes 2.93 (1.90 - 4.52) <0.0001 4.34 (3.14 - 6) <0.0001 3.56 (2.34 - 5.4) <0.0001 3.19 (2.61 - 3.91) <0.0001
Dyslipidemia 1.71 (1.28 - 2.29) <0.0001 --- --- --- --- 1.30 (1.03 - 1.65) 0.030
Smoking status 4.92 (3.66 - 6.62) <0.0001 3.57 (2.65 - 4.8) <0.0001 3.11 (2.04 - 4.73) <0.0001 3.44 (2.89 - 4.1) <0.0001
GRS 1.76 (1.41 - 2.2) <0.0001 1.86 (1.39 - 2.49) <0.0001 2.49 (1.54 - 4.05) <0.0001 1.87 (1.58 - 2.21) <0.0001
Constant 0.16 <0.0001 0.24 <0.0001 0.342 <0.0001 0.21 <0.0001
*

Using Forward Wald Conditional Regression method (SPSS v. 19.0). FRS, Framingham risk score; OR, Odds ratio; CI, Confidence interval; GRS, Genetic risk score; Dashed points represent co-variables not significant after adjusted multivariate analysis; Statistically significant for p<0.05.