Table 4.
Statistical analysis using multivariable linear regression modeling to determine independent association between cardiovascular risk parameters and both Framingham and SCORE predictive risk estimations. Variables entered into the stepwise regression model included monocyte count, BMI, and waist circumference
Parameter | Framingham | SCORE | ||||
---|---|---|---|---|---|---|
β | t value | p value | β | t value | p value | |
Monocytes | 0.014 | 0.528 | 0.598 | 0.064 | 2.474 | 0.013 |
BMI | −0.073 | −1.734 | 0.083 | −0.181 | −4.491 | <0.0005 |
Waist circumference | 0.252 | 5.954 | <0.0005 | 0.436 | 10.709 | <0.0005 |
Abbreviations: β, Beta coefficient; BMI, body mass index; t value, t value for beta coefficient.