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. 2022 Apr 29;107(8):e3384–e3394. doi: 10.1210/clinem/dgac254

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).