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

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 w...

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Autores principales: Lee, Tara T. M., Collett, Corinne, Man, Mei-See, 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, Murphy, Helen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982306/
https://www.ncbi.nlm.nih.gov/pubmed/35382796
http://dx.doi.org/10.1186/s12884-022-04543-z
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author Lee, Tara T. M.
Collett, Corinne
Man, Mei-See
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
Murphy, Helen R.
author_facet Lee, Tara T. M.
Collett, Corinne
Man, Mei-See
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
Murphy, Helen R.
author_sort Lee, Tara T. M.
collection PubMed
description 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. TRIAL REGISTRATION: ISRCTN 56898625 Registration Date: 10 April, 2018.
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spelling pubmed-89823062022-04-06 AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol Lee, Tara T. M. Collett, Corinne Man, Mei-See 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 Murphy, Helen R. BMC Pregnancy Childbirth Study Protocol 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. TRIAL REGISTRATION: ISRCTN 56898625 Registration Date: 10 April, 2018. BioMed Central 2022-04-05 /pmc/articles/PMC8982306/ /pubmed/35382796 http://dx.doi.org/10.1186/s12884-022-04543-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Lee, Tara T. M.
Collett, Corinne
Man, Mei-See
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
Murphy, Helen R.
AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
title AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
title_full AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
title_fullStr AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
title_full_unstemmed AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
title_short AiDAPT: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
title_sort aidapt: automated insulin delivery amongst pregnant women with type 1 diabetes: a multicentre randomized controlled trial – study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982306/
https://www.ncbi.nlm.nih.gov/pubmed/35382796
http://dx.doi.org/10.1186/s12884-022-04543-z
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