Management of Automated Insulin Delivery Systems in Pregnant Individuals With Type 1 Diabetes: Practical Tips and System-Specific Workarounds.
BACKGROUND: Automated insulin delivery (AID) systems are increasingly used off-label in pregnancy for type 1 diabetes management, yet most current algorithms were not designed for the unique metabolic demands of gestation.
Evidence label explains the kind of source behind this article (for example peer-reviewed literature vs community video). It is not medical advice.
Key takeaways
- BACKGROUND: Automated insulin delivery (AID) systems are increasingly used off-label in pregnancy for type 1 diabetes management, yet most current algorithms were not designed for the unique metabolic demands of gestation.
- This guide provides practical, evidence-based, and system-specific workarounds to safely optimise the six major commercial and open-source AID systems for use in pregnancy.
- METHODS: This narrative review synthesises recommendations from major clinical practice guidelines (American Diabetes Association, Diabetes Canada), the 2026 international consensus statement on continuous glucose monitoring and AID use in pregnancy, and key findings from landmark clinical trials (CRISTAL, CIRCUIT, and AiDAPT).
What the research looked at
BACKGROUND: Automated insulin delivery (AID) systems are increasingly used off-label in pregnancy for type 1 diabetes management, yet most current algorithms were not designed for the unique metabolic demands of gestation.
This guide provides practical, evidence-based, and system-specific workarounds to safely optimise the six major commercial and open-source AID systems for use in pregnancy.
METHODS: This narrative review synthesises recommendations from major clinical practice guidelines (American Diabetes Association, Diabetes Canada), the 2026 international consensus statement on continuous glucose monitoring and AID use in pregnancy, and key findings from landmark clinical trials (CRISTAL, CIRCUIT, and AiDAPT).
A targeted literature search of PubMed, Embase, and Cochrane Library (January 2018-February 2026) was performed using keywords, including 'automated insulin delivery', 'closed-loop', 'type 1 diabetes', and 'pregnancy'.
What it reported
Tips were derived from peer-reviewed studies, consensus guidelines, and clinical experience of the authors; the source of each tip is identified throughout the text.
RESULTS: A comprehensive set of 43 practical tips is presented, covering preconception optimisation, trimester-specific insulin adjustments, prandial management strategies, system-specific workarounds for Tandem Control-IQ, Medtronic 780G, Omnipod 5, twiist, CamAPS FX, and Do-It-Yourself Loop, and protocols for special situations including antenatal corticosteroid administration, labour and delivery, and the postpartum period.
CONCLUSION: By combining a deep understanding of AID system limitations with proactive, data-driven clinical strategies, clinicians can help individuals living with type 1 diabetes safely navigate the complexities of pregnancy, improve glycaemic levels, and…
What it means for the Type 1 community
This is pubmed indexed literature and is shared for information, not as medical advice. One study is a data point, not a verdict, so read it alongside the broader body of evidence and your own care team's guidance.
Evidence label
Source: Journal of diabetes science and technology. Evidence type: PubMed indexed literature. Type1Cure is an information and intelligence hub, not a medical advice service. This article summarizes published research and does not provide diagnosis, treatment, or personal medical guidance. Always talk to your own care team before changing anything about your Type 1 diabetes management.
Type1Cure is an information and intelligence hub, not a medical advice service. This article summarizes published research and does not provide diagnosis, treatment, or personal medical guidance. Always talk to your own care team before changing anything about your Type 1 diabetes management.
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