Table 3.
Model adjusted for | Men
|
Women
|
---|---|---|
Tobit Ratio (95% CI) | Tobit Ratio (95% CI) | |
(A) Non-diabetic subjects | ||
Age and race | 1.02 (0.85–1.23), p=0.85 | 1.12 (0.86–1.45), p=0.41 |
Age, race, meds, exercise, FRS, Metsyn, and CRP | 1.10 (0.91–1.32), p=0.33 | 1.11 (0.87–1.43), p=0.40 |
(B) Type-2 diabetic subjects | ||
Age and race | 0.97 (0.78–1.21), p=0.77 | 2.76 (1.73–4.40), p<0.001 |
Age, race, meds, exercise, FRS, Metsyn, and CRP | 0.88 (0.67–1.14), p=0.32 | 2.40 (1.41–4.07), p<0.001 |
Age, race, meds, exercise, FRS, Metsyn, CRP, BMI, and HbA1c | 0.90 (0.69–1.17), p=0.42 | 2.25 (1.34–3.79), p=0.002 |
Results of Tobit regression are presented as the ratio of increase in coronary artery calcification score for a natural log fold increase in Lp(a) levels. Metsyn=Metabolic Syndrome, Meds include aspirin, statin, niacin and ace inhibitor use, FRS=Framingham Risk Score, BMI=body mass index.