Use of Automated Insulin Delivery in Pregnancies Complicated by Type 1 Diabetes

<b>Background:</b> Diabetes during pregnancy is associated with significant maternal and foetal health risks. Insulin requirements also change during pregnancy. This necessitates careful and effective management of diabetes. Although commonly used in clinical practice, the US Food and Drug Administration (FDA)-approved algorithms for automated insulin delivery (AID) systems do not have pregnancy-specific glycaemic targets. This review aims to evaluate the safety and efficacy of AID systems in reaching glycaemic targets in pregnant women with type 1 diabetes (T1D). <b>Methods:</b> In this retrospective case review, six pregnant women with T1D used three types of AID systems. Two patients used Omnipod 5, two patients used Control-I Q and two patients used Do-I t-Yourself (DIY) Loop. <b>Results:</b> Across trimesters, the two patients using Omnipod 5 had an average time in range (TIR) of 68 and 82%. Patients using Control-I Q had an average TIR of 77 and 69%. Both the patients using DIY Loop had an average TIR of 85%. Hypoglycaemia occurrence was minimal. Additionally, four of the six patients had uncomplicated vaginal deliveries in their third trimester, and four of the six patients achieved guideline-r ecommended TIR targets. Birth complications for the other two patients were resolved shortly after birth. Throughout the pregnancies, insulin needs approximately doubled. <b>Conclusions:</b> AID systems can achieve near-desired glycaemic targets with minimal hypoglycaemia in pregnant women with T1D. Randomized controlled trials are needed to confirm these findings and to win FDA indications in pregnancy.

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Publication Details

Journal
touchREVIEWS in Endocrinology
Published
2024-10-31
DOI
https://doi.org/10.17925/ee.2024.20.2.14
Citations
9
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
3.22
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article

Use of Automated Insulin Delivery in Pregnancies Complicated by Type 1 Diabetes

Diana M. Isaacs, Natalie J. Bellini, Jennifer A. Smith, Elaine Young et al.
9 citations
touchREVIEWS in Endocrinology
Diabetes Management and Research
3.22
article

Use of Automated Insulin Delivery in Pregnancies Complicated by Type 1 Diabetes

Diana M. Isaacs, Natalie J. Bellini, Jennifer A. Smith, Elaine Young, Mahima Chillakanti, April Hopcroft
article en
9 citations

Abstract

<b>Background:</b> Diabetes during pregnancy is associated with significant maternal and foetal health risks. Insulin requirements also change during pregnancy. This necessitates careful and effective management of diabetes. Although commonly used in clinical practice, the US Food and Drug Administration (FDA)-approved algorithms for automated insulin delivery (AID) systems do not have pregnancy-specific glycaemic targets. This review aims to evaluate the safety and efficacy of AID systems in reaching glycaemic targets in pregnant women with type 1 diabetes (T1D). <b>Methods:</b> In this retrospective case review, six pregnant women with T1D used three types of AID systems. Two patients used Omnipod 5, two patients used Control-I Q and two patients used Do-I t-Yourself (DIY) Loop. <b>Results:</b> Across trimesters, the two patients using Omnipod 5 had an average time in range (TIR) of 68 and 82%. Patients using Control-I Q had an average TIR of 77 and 69%. Both the patients using DIY Loop had an average TIR of 85%. Hypoglycaemia occurrence was minimal. Additionally, four of the six patients had uncomplicated vaginal deliveries in their third trimester, and four of the six patients achieved guideline-r ecommended TIR targets. Birth complications for the other two patients were resolved shortly after birth. Throughout the pregnancies, insulin needs approximately doubled. <b>Conclusions:</b> AID systems can achieve near-desired glycaemic targets with minimal hypoglycaemia in pregnant women with T1D. Randomized controlled trials are needed to confirm these findings and to win FDA indications in pregnancy.

touchREVIEWS in EndocrinologyVol. 20(2)
Cleveland Clinic (US), University of California, Los Angeles (US), University Hospitals of Cleveland (US), San Francisco Foundation (US), Close Concerns (United States) (US)
Zero hunger
Openalex Percentile: Top 7%
Diabetes Management and Research
3.22
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