AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol

Lee, Tara T. M. ORCID: https://orcid.org/0000-0001-6591-6421, Collett, Corinne, Man, Mei-See ORCID: https://orcid.org/0000-0003-4948-5670, Hammond, Matt, Shepstone, Lee, Hartnell, Sara, Gurnell, Eleanor, Byrne, Caroline, Scott, Eleanor M., Lindsay, Robert S., Morris, Damian, Brackenridge, Anna, Dover, Anna R., Reynolds, Rebecca M., Hunt, Katharine F., McCance, David R., Barnard-Kelly, Katharine, Rankin, David, Lawton, Julia, Bocchino, Laura E., Sibayan, Judy, Kollman, Craig, Wilinska, Malgorzata E., Hovorka, Roman and Murphy, Helen R. and AiDAPT Collaborative Group (2022) AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol. BMC Pregnancy and Childbirth, 22. ISSN 1471-2393

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Abstract

Background: Pregnant women with type 1 diabetes strive for tight glucose targets (3.5-7.8 mmol/L) to minimise the risks of obstetric and neonatal complications. Despite using diabetes technologies including continuous glucose monitoring (CGM), insulin pumps and contemporary insulin analogues, most women struggle to achieve and maintain the recommended pregnancy glucose targets. This study aims to evaluate whether the use of automated closed-loop insulin delivery improves antenatal glucose levels in pregnant women with type 1 diabetes. Methods/design: A multicentre, open label, randomized, controlled trial of pregnant women with type 1 diabetes and a HbA1c of ≥48 mmol/mol (6.5%) at pregnancy confirmation and ≤ 86 mmol/mol (10%) at randomization. Participants who provide written informed consent before 13 weeks 6 days gestation will be entered into a run-in phase to collect 96 h (24 h overnight) of CGM glucose values. Eligible participants will be randomized on a 1:1 basis to CGM (Dexcom G6) with usual insulin delivery (control) or closed-loop (intervention). The closed-loop system includes a model predictive control algorithm (CamAPS FX application), hosted on an android smartphone that communicates wirelessly with the insulin pump (Dana Diabecare RS) and CGM transmitter. Research visits and device training will be provided virtually or face-to-face in conjunction with 4-weekly antenatal clinic visits where possible. Randomization will stratify for clinic site. One hundred twenty-four participants will be recruited. This takes into account 10% attrition and 10% who experience miscarriage or pregnancy loss. Analyses will be performed according to intention to treat. The primary analysis will evaluate the change in the time spent in the target glucose range (3.5-7.8 mmol/l) between the intervention and control group from 16 weeks gestation until delivery. Secondary outcomes include overnight time in target, time above target (> 7.8 mmol/l), standard CGM metrics, HbA1c and psychosocial functioning and health economic measures. Safety outcomes include the number and severity of ketoacidosis, severe hypoglycaemia and adverse device events. Discussion: This will be the largest randomized controlled trial to evaluate the impact of closed-loop insulin delivery during type 1 diabetes pregnancy.

Item Type: Article
Uncontrolled Keywords: obstetrics and gynaecology,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2700/2729
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Faculty of Medicine and Health Sciences > School of Health Sciences
UEA Research Groups: Faculty of Science > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health
Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care
Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit
Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health
Faculty of Medicine and Health Sciences > Research Centres > Population Health
Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
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Depositing User: LivePure Connector
Date Deposited: 06 May 2022 03:58
Last Modified: 29 Oct 2024 00:49
URI: https://ueaeprints.uea.ac.uk/id/eprint/84896
DOI: 10.1186/s12884-022-04543-z

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