Artificial Intelligence and Gestacional Diabetes
Artificial Intelligence in Education and Monitoring Women With Gestational Diabetes
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
São Paulo
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São José do Rio Preto, São Paulo, Brazil, 15090-000
- Fundação Faculdade Regional de Medicina de São José do Rio Preto
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Gestacional diabetes women with gestational age of up to 28 weeks and 6 days
- Gestacional diabetes women who sign the free and informed consent form
Exclusion Criteria:
- Gestational age greater than 28 completed weeks at the first consultation
- Participants with overt DM (fasting glucose > 126 mg/dl or postprandial > 200 mg/dl)
- Unknown outcome.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Device group: Case group (AI model use)
Case group - Device group.
AI model to monitor glucose control and send education to treat women with gestacional diabetes in insulin treatment.
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Artificial Intelligence modell through WhatsApp® to remote monitoring gestacional diabetes in insulin treatment, focusing on disease education, glycemic control monitoring, and therapeutic interventions.
Other Names:
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No Intervention: Control group (no use of AI model)
No device group: Control group - women with gestacional diabetes in insulin treatment under conventional treatment, without the AI model use.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
fetal death
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy)
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Fetal death resulting from metabolic changes caused by gestational diabetes
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From the moment of randomization to delivery (until 40 weeks of pregnancy)
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Fetal birth weight
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy)
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Fetal weight at birth assessed using a precision scale.
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From the moment of randomization to delivery (until 40 weeks of pregnancy)
|
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neonatal hypoglycemia
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy), and Assessment of neonatal blood glucose levels from birth up to 48 hours post-birth.
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Neonatal hypoglycemia is the abnormal reduction of glucose in the newborn's blood to levels considered insufficient to meet the metabolic needs of the brain and other tissues. Plasma glucose parameters: < 40 mg/dL in the first 4 hours of life, < 45 mg/dL between 4 and 24 hours of life, After 24 hours, values < 50-60 mg/dL |
From the moment of randomization to delivery (until 40 weeks of pregnancy), and Assessment of neonatal blood glucose levels from birth up to 48 hours post-birth.
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glycemic control
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy)
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Glycemic control will be evaluated according to capillary glucose measurements that are taken 6 times a day: fasting, before and 1 hour after meals, following the target ranges of 70 to 95 mg/dL fasting; 70 ton 100 mg/dL pre-prandial; and 100 to 140 mg/dL post-prandial.
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From the moment of randomization to delivery (until 40 weeks of pregnancy)
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
admission of the newborn to the intensive care unit
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy), and from birth to 48 hours postpartum
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The need for the newborn to be admitted to an intensive care unit due to metabolic disorders associated with poor maternal glycemic control.
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From the moment of randomization to delivery (until 40 weeks of pregnancy), and from birth to 48 hours postpartum
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mother weight gain
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy).
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Maternal weight gain assessed during the gestational follow-up period up to delivery.
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From the moment of randomization to delivery (until 40 weeks of pregnancy).
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gestational age at delivery
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy).
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Gestational age at the time of natural childbirth or cesarean section in weeks
|
From the moment of randomization to delivery (until 40 weeks of pregnancy).
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route of delivery
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy).
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Description of whether it was a natural birth or a cesarean section.
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From the moment of randomization to delivery (until 40 weeks of pregnancy).
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Blood pressure
Time Frame: From the moment of randomization to delivery (until 40 weeks of pregnancy).
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Evaluate if hypertension is present and assess blood pressure levels during pregnancy and up to delivery.
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From the moment of randomization to delivery (until 40 weeks of pregnancy).
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: José F Vilela-Martin, MD, PhD, Hospital de Base
- Principal Investigator: Vanessa V Goulart, MD, MSc, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
- Study Chair: Ligia C Junqueira, MD, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
- Study Chair: Amanda T Lotierzo, MD, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
- Study Chair: Carolina C Amorim, MD, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
- Study Chair: Maria Amalia BC Cançado, MD, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
- Study Chair: Leticia A Mantoani, student, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
- Study Chair: Rodrigo F Zancaner, Chamoudr company
- Study Chair: Rafael Beolchi, Chamoudr company
- Study Chair: Lucas F Queiroz, Chamoudr company
- Study Chair: Luciana N Cosenso-Martin, MD, PhD, Hospital de Base, Sao Jose do Rio Preto, Sao Paulo, Brazil
Publications and helpful links
General Publications
- HAPO Study Cooperative Research Group; Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, Hadden DR, McCance DR, Hod M, McIntyre HD, Oats JJ, Persson B, Rogers MS, Sacks DA. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008 May 8;358(19):1991-2002. doi: 10.1056/NEJMoa0707943.
- Sweeting A, Wong J, Murphy HR, Ross GP. A Clinical Update on Gestational Diabetes Mellitus. Endocr Rev. 2022 Sep 26;43(5):763-793. doi: 10.1210/endrev/bnac003.
- Grunebaum A, Chervenak J, Pollet SL, Katz A, Chervenak FA. The exciting potential for ChatGPT in obstetrics and gynecology. Am J Obstet Gynecol. 2023 Jun;228(6):696-705. doi: 10.1016/j.ajog.2023.03.009. Epub 2023 Mar 15.
- Ye W, Luo C, Huang J, Li C, Liu Z, Liu F. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ. 2022 May 25;377:e067946. doi: 10.1136/bmj-2021-067946.
- Dhombres F, Bonnard J, Bailly K, Maurice P, Papageorghiou AT, Jouannic JM. Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review. J Med Internet Res. 2022 Apr 20;24(4):e35465. doi: 10.2196/35465.
- Akazawa M, Hashimoto K. Artificial intelligence in gynecologic cancers: Current status and future challenges - A systematic review. Artif Intell Med. 2021 Oct;120:102164. doi: 10.1016/j.artmed.2021.102164. Epub 2021 Sep 3.
- Mistry SK, Das Gupta R, Alam S, Kaur K, Shamim AA, Puthussery S. Gestational diabetes mellitus (GDM) and adverse pregnancy outcome in South Asia: A systematic review. Endocrinol Diabetes Metab. 2021 Oct;4(4):e00285. doi: 10.1002/edm2.285. Epub 2021 Jul 3.
- Ugwudike B, Kwok M. Update on gestational diabetes and adverse pregnancy outcomes. Curr Opin Obstet Gynecol. 2023 Oct 1;35(5):453-459. doi: 10.1097/GCO.0000000000000901. Epub 2023 Aug 9.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Endocrine System Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Metabolic Diseases
- Body Weight
- Pregnancy Complications
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Fetal Diseases
- Diabetes Complications
- Pregnancy in Diabetics
- Birth Weight
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Diabetes, Gestational
- Fetal Macrosomia
- Algorithms
- Mathematical Concepts
- Artificial Intelligence
Other Study ID Numbers
Other Study ID Numbers
- 78204024.6.0000.5415.
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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