Validation of a Biomathematical Model to Help Identify the Parameters of Flexible Insulin Therapy
NCT ID: NCT04572009
Last Updated: 2022-10-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
37 participants
INTERVENTIONAL
2021-01-12
2022-10-04
Brief Summary
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The Laboratory of Digital Sciences of Nantes has developed a new bio-mathematical model describing the glucose-insulin dynamics, closer to the physiological reality of patients with type 1 diabetes. This model allows firstly to identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios).
The objective of this study is to test the relevance of this bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios).
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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Augmented physician
Medical decision assisted by the bio-mathematical model to define the parameters of flexible insulin therapy based on data from a continuous glucose measurement record.
Bio-mathematical model
bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios)
Control
Unassisted medical decision to define the parameters of flexible insulin therapy based on data from a continuous glucose measurement record.
Without bio-mathematical model
No bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios)
Interventions
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Bio-mathematical model
bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios)
Without bio-mathematical model
No bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios)
Eligibility Criteria
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Inclusion Criteria
2. Patient patient with at least 6 months of external insulin pump therapy and using the Medtronic 640G pump with or without the Enlite® System.
3. Patient having at least 6 months experience of flexible insulin therapy,
4. Patient with HbA1c \<10% (less than 4 months' duration of testing in a medical laboratory or equivalent),
5. Patient who has been wearing a Continuous Glucose Monitoring device for at least 3 months,
6. Adult patient,
7. Patient affiliated to a Social Security or equivalent,
8. Patient who has signed Informed Consent Form.
Exclusion Criteria
2. Patient with any serious medical condition that may affect participation in the study,
3. Patient benefiting from a legal protection measure,
4. Woman who is pregnant or likely to become pregnant during the course of the study, i.e., a lack of effective contraception in women of childbearing age,
5. Breastfeeding,
6. Psychological and/or physical condition that may affect the proper monitoring of study procedures,
7. Severe hypoglycemia leading to convulsions or loss of consciousness within the last 12 months,
8. Decreased hypoglycemic feelings (as judged by the clinician),
9. Impaired renal function (creatinine clearance calculated by CKD-EPI \< 30mL/min),
10. Patient who has had a pancreas transplant or pancreatic islets,
11. Persons with severe uncorrected hearing and/or visual acuity problems,
12. Insulin resistance defined by daily insulin requirements \> 1 U/kg/day in the week prior to inclusion,
13. Patient treated with oral corticosteroid therapy.
18 Years
ALL
No
Sponsors
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Nantes University Hospital
OTHER
Responsible Party
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Principal Investigators
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Lucy CHAILLOUS, Dr
Role: PRINCIPAL_INVESTIGATOR
Nantes University Hospital
Locations
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CHU de Nantes
Nantes, , France
Countries
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References
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Scharbarg E, Greck J, Le Carpentier E, Chaillous L, Moog CH. A metamodel-based flexible insulin therapy for type 1 diabetes patients subjected to aerobic physical activity. Sci Rep. 2022 May 16;12(1):8017. doi: 10.1038/s41598-022-11772-x.
Other Identifiers
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RC20_0278
Identifier Type: -
Identifier Source: org_study_id
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