arrow
Return

Continuous Glucose Monitoring and Maternal and Neonatal Morbidity in Pregnant People With Type 1 Diabetes

delete2025-11-04
delete0
PRE
AI
S
Stephanie A. Fisher
J
Jacopo Pavan
M
María F. Villa-Tamayo
C
Chiara Fabris
N
Natalie Conboy
C
Charlotte M. Niznik
L
Lynn M. Yee
M
Marcela Moscoso-Vásquez
A
Annanda Fernandes Moura B. Batista
M
Michael A. Kohn
E
Emily Kobayashi
A
Amit R. Majithia
J
Jingtong Huang
T
Tiffany Tian
R
Rachel E. Aaron
D
David C. Klonoff
DOI:10.1177/19322968251388119delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
<jats:sec> <jats:title>Introduction:</jats:title> <jats:p>Prior studies have not identified if continuous glucose monitoring (CGM) metrics at a critical gestational age window can discriminate risk of adverse pregnancy outcomes. We evaluated late second- and third-trimester CGM metrics by gestational age associated with pregnancy outcomes in gravidas with type 1 diabetes (T1DM).</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p> Dexcom G6 CGM data from a retrospective cohort of singleton gestations with T1DM (2018-2022) at an academic medical center were analyzed. Time in, above, and below range 63 to 140 mg/dL (TIR, TAR, TBR), glycemic variability, and mean glucose concentration were computed in two-week CGM intervals from 24 <jats:sup>0</jats:sup> to 39 <jats:sup>6</jats:sup> weeks <jats:sup>days</jats:sup> . Adverse pregnancy outcomes were hypertensive disorders of pregnancy (HDP), large-for-gestational age (LGA), and neonatal hypoglycemia. Linear mixed-effects models were fitted on CGM metrics computed from two-week CGM intervals, with gestational age, adverse pregnancy outcomes (i.e. presence/absence of HDP, LGA, and/or neonatal hypoglycemia), and their interaction as fixed effects. </jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p> In 87 gravidas with preconception median hemoglobin A1c 6.5% (IQR 6.0, 7.1) and maternal body mass index 24.8 kg/m <jats:sup>2</jats:sup> (IQR 21.9, 27.1), 71% had at least one adverse pregnancy outcome. Between weeks 24 <jats:sup>0</jats:sup> and 37 <jats:sup>6</jats:sup> , gravidas with HDP had higher TAR and mean glucose and lower TIR ( <jats:italic toggle="yes">P</jats:italic> &lt; .05). Gravidas with LGA had lower TBR between weeks 24 <jats:sup>0</jats:sup> and 35 <jats:sup>6</jats:sup> . TIR, TAR, and mean glucose evolution differed by HDP status, with greatest divergence between groups at 28 <jats:sup>0</jats:sup> to 29 <jats:sup>6</jats:sup> weeks’ gestation ( <jats:italic toggle="yes">P</jats:italic> ≤ .001). </jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion:</jats:title> <jats:p>CGM metrics in the late second to early third trimester, a period of peak insulin resistance, may help to distinguish risk of HDP and LGA in gravidas with T1DM.</jats:p> </jats:sec>

Journal

Journal of Diabetes Science and Technology cover
Journal of Diabetes Science and Technology
IF:
3.7
Papers:
1.5K
Citations:
6.8K

Organization

D
diabetes technology society, burlingame, ca, usa
Scholars:
7
Papers: 7
Citations: 0
researcher View more organizations