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412: Cloud-based glucose monitoring for pregnancies with diabetes: Implications of testing adherence to perinatal complications

      Objective

      Validated reports of patient adherence to self-glucose monitoring and associated perinatal outcomes are limited. Using cloud based self-glucose monitoring technology, we asked the following questions:
      1. Are there differences in rates of testing adherence based on type of diabetes in pregnancy?
      2. Is adherence to glucose monitoring recommendations associated with perinatal outcomes in pregnancies complicated by diabetes?

      Study Design

      This prospective, single-center, cohort study included women with type 2 diabetes (T2DM) and gestational diabetes (GDM) enrolled in a perinatal diabetes program before 29 weeks gestation between December 2015 and June 2018. All women received a cellular-enabled glucometer that uploaded glucose values to a cloud-based, HIPAA compliant platform in real time. Four glucose checks were advised daily and percent adherence was calculated. The study was powered for the primary outcome of adherence to advised self-glucose monitoring by diabetes type and large for gestational age (LGA) fetuses. Secondary outcomes were preeclampsia, cesarean delivery (CD) and neonatal hypoglycemia.

      Results

      102 eligible women were included in the study. Baseline characteristics differed between groups with women with T2DM having higher HgbA1c and BMI when compared to women with GDM. No differences were noted in age or parity. Adherence was calculated over 20±6 weeks for women with T2DM compared to 9±4 weeks for women with GDM. Overall adherence to glucose monitoring was significantly less for women with T2DM compared to those with GDM. Testing adherence rates were 51%, 66% and 70% for T2DM, GDMA1 and GDMA2 respectively (p=0.016).
      Using logistic regression, the odds of CD, neonatal hypoglycemia and LGA fetuses decreased by 15-20% for every for every 10% increase in adherence (Table 1). There was no association between adherence and rates of preeclampsia.

      Conclusion

      Using a cellular-enabled and cloud-based glucometer that ensures accurate reporting of testing adherence, this study shows that overall adherence to testing recommendations differs by diabetes type and is associated with neonatal outcomes. Improved outcomes with higher adherence may reflect more timely medication adjustments in response to real-time glucose values. Programs aimed at improving adherence could prove beneficial.
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