Table 2.
Regression analysis of covariate effects on change in uric acid in insulin initiators
Model | β | 95% CI | P value |
---|---|---|---|
A Crude Model: Insulin + UA1 | 1.29 | 0.15, 2.44 | 0.03 |
B Model A + age + Length of time between UA1 & UA2 | 1.25 | 0.16, 2.34 | 0.03 |
C Model B + HbA1c | 1.47 | −0.06, 3.00 | 0.06 |
D Model C + Creatinine + BMI | 1.33 | −0.28, 2.94 | 0.1 |
E Insulin+UA1+Length of time between UA1 & UA2 | 1.25 | 0.18, 2.33 | 0.02 |
Medication Use | β | 95% CI | P value |
---|---|---|---|
F Model D + Allopurinol | 1.36 | −0.12, 2.84 | 0.07 |
G Model D + Hydrochlorothiazide | 1.41 | −0.17, 2.99 | 0.08 |
H Model D + Losartan | 1.45 | −0.07, 2.96 | 0.06 |
I Model D + Tacrolimus | 1.48 | −0.04, 3.00 | 0.06 |
J Model D + Cyclosporine | 1.61 | 0.03, 3.20 | 0.05 |
β= beta co-efficient, covariate effect on change in uric acid; 95% CI=95% confidence interval; HbA1c= Hemoglobin A1C; BMI= body mass index; UA1=first uric acid measurement; UA2= second uric acid measurement.