Diabetes
Poster Session 1
Stephanie A. Fisher, MD, MPH (she/her/hers)
Assistant Professor of Obstetrics and Gynecology
Northwestern University Feinberg School of Medicine
Chicago, IL, United States
Emily Kobayashi, BS
UC San Diego
La Jolla, CA, United States
Natalie Conboy, BA
Northwestern University Feinberg School of Medicine
Chicago, IL, United States
Jingtong Huang, BA
Digital Health Administrator
Diabetes Technology Society
Burlingame, CA, United States
Charlotte M. Niznik, RN
Northwestern University
Chicago, IL, United States
Amit Majithia, MD
University of California, San Diego School of Medicine
San Diego, CA, United States
David C. Klonoff, MD
President
Diabetes Technology Society
Burlingame, CA, United States
Lynn M. Yee, MD, MPH (she/her/hers)
Associate Professor
Northwestern University
Chicago, IL, United States
To examine the discriminatory ability of continuous glucose monitoring (CGM) metrics (time-in-range, TIR; time-above-range, TAR; time-below-range, TBR; glycemic variability, GV) across gestation and hemoglobin A1c (HbA1c), for adverse perinatal outcomes (APOs) in pregnant people with type 1 diabetes (T1DM).
Study Design: This is a retrospective study (2019-22) of gravidas with T1DM using CGM with target range 70-140 mg/dl. Exposures were average TIR, TAR, TBR, GV, and HbA1c per trimester. Primary maternal and neonatal outcomes were hypertensive disorders of pregnancy (HDP) and large-for-gestational age neonate (LGA, birthweight ≥ 90%ile). Secondary neonatal outcomes were neonatal intensive care unit (NICU) admission, neonatal hypoglycemia (NH, glucose ≤ 40 mg/dl in first 24 hours), and jaundice (requiring phototherapy). The Mann-Whitney U test compared median CGM metrics and HbA1c by outcome each trimester. Receiver operating characteristic (ROC) analysis determined the optimal cut-point with the greatest sensitivity and specificity and area under the curve (AUC) for each metric.
Results:
Among 92 patients using CGM for T1DM, the majority were multiparous (58%) and used insulin pumps (60%). Pregnancies with HDP, NICU admission, and jaundice had lower TIR each trimester (p ≤ 0.01); lower TIR was associated with LGA only in the first trimester (p=0.01). Pregnancies with (vs. without) HDP (41% vs. 28%), LGA (36% vs. 27%), NICU admission (46% vs. 30%), and jaundice (46% vs. 29%) had higher median TAR in the first trimester (p ≤ 0.01), with similar findings in the 2nd and 3rd trimester (p < 0.05). Median HbA1c was also higher every trimester for those with HDP, LGA, NICU admission, and jaundice (p < 0.05). For NH, we did not identify a difference in CGM metrics or HbA1c. Among CGM metrics, TAR had the greatest discriminatory ability for APOs (AUC 0.63-0.90, Table), but its discriminatory ability was similar to that of HbA1c for HDP, LGA and NICU across gestation.
Conclusion:
TIR is inversely associated with APOs in people with T1DM, but has poor discriminatory ability for APOs compared to TAR and HbA1c.