Table 4.
Multivariable model for loss of glycemic control during 2004-2014 using baseline (randomization) predictors identified via backward stepwise elimination
| Multivariable model with baseline risk factors | OR | 95% CI | Wald chi-square | P value |
|---|---|---|---|---|
| C-peptide index (ng/mL per mg/dL) | 0.48 | 0.35-0.66 | 21.5 | < 0.0001 |
| HbA1c (%) | 1.89 | 1.30-2.75 | 11.0 | 0.0009 |
| Proinsulin to insulin ratio (pM/µU) | 1.52 | 1.15-2.02 | 8.5 | 0.003 |
| Maternal history of diabetes | 1.51 | 1.00-2.31 | 3.7 | 0.05 |
Odds ratios (95% CI) from multivariable logistic regression model. Variables entered in the model: duration of diabetes, maternal history of diabetes, maternal diabetes during pregnancy, HbA1c, proinsulin to insulin ratio, C-peptide index, and C-peptide oDI. The significant covariates (P < 0.05) remaining after the backward stepwise elimination are shown in the table. Covariates are listed in order of significance as indicated by the Wald chi-square value. There were no multicollinearity issues identified (all VIF values < 10).