Quantifying blood glucose (BG) control in gestational diabetes mellitus (GDM) is difficult. Digital systems provide new metrics, yet clinical and research utility is not established. We aimed to determine utility of digital BG metrics as predictors for large for gestational age (LGA).
GDM screening was per 2008 National Institute of Clinical Excellence guidance (75g OGTT, positive if fasting BG >7.0mmol/L or 2 hour >7.8mmol/L) In women diagnosed with GDM, fasting, pre- and 2-hour post-prandial self-monitoring of BG was advised using a smartphone-based digital BG management system with regular clinician review. Mean total, fasting, postprandial BG and proportion of BGs over target were calculated (median duration of monitoring 9 weeks). Birth weight was classified as LGA (> 90th centile for gestation and gender) per INTERGROWTH-21st standards (Villar, 2014). Continuous variables were converted to z scores. Logistic regression was adjusted for parity and height.
Of 41 women, 12 had LGA babies (29%). The odds of LGA increased with every SD increase (0.7 mmol/L) in mean BG (aOR 3.2, 95% CI 1.1-9.6) and SD increase (0.9) in post-prandial BG (aOR 3.7,1.2-11.2), but not fasting BG (aOR 1.9, 0.8-4.7), SD (0.7). BG weekly moving averages were higher for LGA babies for the duration of monitoring. These associations justify further studies to validate potential uses for digital BG metrics.