Statistical analysis
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The study was powered to detect an increase in TIR from 94 ± 8% to 98 ± 8%. Considering a p 20% drop-out rate, we needed a total of 154 participants (77 in both groups) (alpha-error.025; beta-error.20; one-sided test).Data were expressed as the mean ± standard deviation or the median with the interquartile range. Normally distributed continuous variables were compared by Student’s t test, while nonnormally distributed continuous variables were analyzed by the Mann−Whitney U test. The HbA1c and GA levels before delivery were analyzed according to the analysis of covariance method, adjusting baseline levels. Categorical variables were analyzed by the chi-square test, resulting in a relative risk (RR) with an accompanying 95% confidence interval (CI). Statistical significance was set at 