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Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)

BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication of pregnancy associated with serious adverse outcomes for mothers and their offspring. Achieving glycaemic targets is the mainstream in the treatment of GDM in order to improve pregnancy outcomes. As GDM is usually diagnosed in...

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Autores principales: Popova, Polina, Anopova, Anna, Vasukova, Elena, Isakov, Artem, Eriskovskaya, Angelina, Degilevich, Andrey, Pustozerov, Evgenii, Tkachuk, Alexandra, Pashkova, Kristina, Krasnova, Natalia, Kokina, Maria, Nemykina, Irina, Pervunina, Tatiana, Li, Olga, Grineva, Elena, Shlyakhto, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290190/
https://www.ncbi.nlm.nih.gov/pubmed/37361536
http://dx.doi.org/10.3389/fendo.2023.1168688
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author Popova, Polina
Anopova, Anna
Vasukova, Elena
Isakov, Artem
Eriskovskaya, Angelina
Degilevich, Andrey
Pustozerov, Evgenii
Tkachuk, Alexandra
Pashkova, Kristina
Krasnova, Natalia
Kokina, Maria
Nemykina, Irina
Pervunina, Tatiana
Li, Olga
Grineva, Elena
Shlyakhto, Evgeny
author_facet Popova, Polina
Anopova, Anna
Vasukova, Elena
Isakov, Artem
Eriskovskaya, Angelina
Degilevich, Andrey
Pustozerov, Evgenii
Tkachuk, Alexandra
Pashkova, Kristina
Krasnova, Natalia
Kokina, Maria
Nemykina, Irina
Pervunina, Tatiana
Li, Olga
Grineva, Elena
Shlyakhto, Evgeny
author_sort Popova, Polina
collection PubMed
description BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication of pregnancy associated with serious adverse outcomes for mothers and their offspring. Achieving glycaemic targets is the mainstream in the treatment of GDM in order to improve pregnancy outcomes. As GDM is usually diagnosed in the third trimester of pregnancy, the time frame for the intervention is very narrow. Women need to get new knowledge and change their diet very quickly. Usually, these patients require additional frequent visits to healthcare professionals. Recommender systems based on artificial intelligence could partially substitute healthcare professionals in the process of educating and controlling women with GDM, thus reducing the burden on the women and healthcare systems. We have developed a mobile-based personalized recommendation system DiaCompanion I with data-driven real time personal recommendations focused primarily on postprandial glycaemic response prediction. The study aims to clarify the effect of using DiaCompanion I on glycaemic levels and pregnancy outcomes in women with GDM. METHODS: Women with GDM are randomized to 2 treatment groups: utilizing and not utilizing DiaCompanion I. The app provides women in the intervention group the resulting data-driven prognosis of 1-hour postprandial glucose level every time they input their meal data. Based on the predicted glucose level, they can adjust their current meal so that the predicted glucose level falls within the recommended range below 7 mmol/L. The app also provides reminders and recommendations on diet and lifestyle to the participants of the intervention group. All the participants are required to perform 6 blood glucose measurements a day. Capillary glucose values are retrieved from the glucose meter and if not available, from the woman’s diary. Additionally, data on glycaemic levels during the study and consumption of major macro- and micronutrients will be collected using the mobile app with electronic report forms in the intervention group. Women from the control group receive standard care without the mobile app. All participants are prescribed with insulin therapy if needed and modifications in their lifestyle. A total of 216 women will be recruited. The primary outcome is the percentage of postprandial capillary glucose values above target (>7.0 mmol/L). Secondary outcomes include the percentage of patients requiring insulin therapy during pregnancy, maternal and neonatal outcomes, glycaemic control using glycated hemoglobin (HbA1c), continuous glucose monitoring data and other blood glucose metrics, the number of patient visits to endocrinologists and acceptance/satisfaction of the two strategies assessed using a questionnaire. DISCUSSION: We believe that the approach including DiaCompanion I will be more effective in patients with GDM for improving glycaemic levels and pregnancy outcomes. We also expect that the use of the app will help reduce the number of clinic visits. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, Identifier NCT05179798.
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spelling pubmed-102901902023-06-25 Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I) Popova, Polina Anopova, Anna Vasukova, Elena Isakov, Artem Eriskovskaya, Angelina Degilevich, Andrey Pustozerov, Evgenii Tkachuk, Alexandra Pashkova, Kristina Krasnova, Natalia Kokina, Maria Nemykina, Irina Pervunina, Tatiana Li, Olga Grineva, Elena Shlyakhto, Evgeny Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication of pregnancy associated with serious adverse outcomes for mothers and their offspring. Achieving glycaemic targets is the mainstream in the treatment of GDM in order to improve pregnancy outcomes. As GDM is usually diagnosed in the third trimester of pregnancy, the time frame for the intervention is very narrow. Women need to get new knowledge and change their diet very quickly. Usually, these patients require additional frequent visits to healthcare professionals. Recommender systems based on artificial intelligence could partially substitute healthcare professionals in the process of educating and controlling women with GDM, thus reducing the burden on the women and healthcare systems. We have developed a mobile-based personalized recommendation system DiaCompanion I with data-driven real time personal recommendations focused primarily on postprandial glycaemic response prediction. The study aims to clarify the effect of using DiaCompanion I on glycaemic levels and pregnancy outcomes in women with GDM. METHODS: Women with GDM are randomized to 2 treatment groups: utilizing and not utilizing DiaCompanion I. The app provides women in the intervention group the resulting data-driven prognosis of 1-hour postprandial glucose level every time they input their meal data. Based on the predicted glucose level, they can adjust their current meal so that the predicted glucose level falls within the recommended range below 7 mmol/L. The app also provides reminders and recommendations on diet and lifestyle to the participants of the intervention group. All the participants are required to perform 6 blood glucose measurements a day. Capillary glucose values are retrieved from the glucose meter and if not available, from the woman’s diary. Additionally, data on glycaemic levels during the study and consumption of major macro- and micronutrients will be collected using the mobile app with electronic report forms in the intervention group. Women from the control group receive standard care without the mobile app. All participants are prescribed with insulin therapy if needed and modifications in their lifestyle. A total of 216 women will be recruited. The primary outcome is the percentage of postprandial capillary glucose values above target (>7.0 mmol/L). Secondary outcomes include the percentage of patients requiring insulin therapy during pregnancy, maternal and neonatal outcomes, glycaemic control using glycated hemoglobin (HbA1c), continuous glucose monitoring data and other blood glucose metrics, the number of patient visits to endocrinologists and acceptance/satisfaction of the two strategies assessed using a questionnaire. DISCUSSION: We believe that the approach including DiaCompanion I will be more effective in patients with GDM for improving glycaemic levels and pregnancy outcomes. We also expect that the use of the app will help reduce the number of clinic visits. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, Identifier NCT05179798. Frontiers Media S.A. 2023-06-07 /pmc/articles/PMC10290190/ /pubmed/37361536 http://dx.doi.org/10.3389/fendo.2023.1168688 Text en Copyright © 2023 Popova, Anopova, Vasukova, Isakov, Eriskovskaya, Degilevich, Pustozerov, Tkachuk, Pashkova, Krasnova, Kokina, Nemykina, Pervunina, Li, Grineva and Shlyakhto https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Popova, Polina
Anopova, Anna
Vasukova, Elena
Isakov, Artem
Eriskovskaya, Angelina
Degilevich, Andrey
Pustozerov, Evgenii
Tkachuk, Alexandra
Pashkova, Kristina
Krasnova, Natalia
Kokina, Maria
Nemykina, Irina
Pervunina, Tatiana
Li, Olga
Grineva, Elena
Shlyakhto, Evgeny
Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)
title Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)
title_full Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)
title_fullStr Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)
title_full_unstemmed Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)
title_short Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I)
title_sort trial protocol for the study of recommendation system diacompanion with personalized dietary recommendations for women with gestational diabetes mellitus (diacompanion i)
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290190/
https://www.ncbi.nlm.nih.gov/pubmed/37361536
http://dx.doi.org/10.3389/fendo.2023.1168688
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