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Validation of a Biomathematical Model to Help Identify the Parameters of Flexible Insulin Therapy

Validation of a Biomathematical Model to Help Identify the Parameters of Flexible Insulin Therapy: Monocentric, Controlled, Randomized and Prospective Pilot Clinical Study in Patients With Type 1 Diabetes.

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04572009
Acronym
ModIF
Enrollment
37
Registered
2020-10-01
Start date
2021-01-12
Completion date
2022-10-04
Last updated
2026-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 Diabetes

Keywords

Type 1 diabetes mellitus, biomathematical model, Flexible insulin therapy

Brief summary

Type 1 diabetes is an autoimmune disease that requires daily treatment with insulin. The use of subcutaneous pumps for continuous insulin delivery has been an important advance for diabetic patients. The evolution of technologies through the miniaturization of insulin pumps and the advent of continuous glucose sensors has made it possible to understand the development of the artificial pancreas. Several teams are working on the development of an artificial pancreas with considerable progress in closed-loop insulin delivery, particularly during the night. 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).

Detailed description

This is an open randomized pilot clinical study, comparing the effectiveness of medical decision assisted by this bio-mathematical model ("augmented physician") versus unassisted medical decision, to define the parameters of flexible insulin therapy based on data from a continuous glucose measurement record for 7 days.

Interventions

OTHERBio-mathematical model

bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios)

OTHERWithout bio-mathematical model

No bio-mathematical model to help the physician identify the parameters of flexible insulin therapy (basal rate, insulin sensitivity, carbohydrate ratios)

Sponsors

Nantes University Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Patient with type 1 diabetes for at least two years with an indication for sensor placement, 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

1. Patient with type 2 diabetes or secondary diabetes 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.

Design outcomes

Primary

MeasureTime frameDescription
percentage of time in glycemic target4 weekspercentage of time in glycemic target (70-180 mg/dL) during the four weeks following medical consultation where the parameters of flexible insulin therapy are estimated by the physician, either conventionally or with the help of the bio-mathematical model, and parameterized in the insulin pump.

Secondary

MeasureTime frameDescription
Coefficient of variation of glucose75 daysHypoglycemic readings \< 0.7 g/L, Time below 0.7 g/L, Time above 1.8 g/L
Frequency of severe hypoglycemia75 daysFrequency of severe hypoglycemia (requiring the intervention of a third party)
Robustness of the model75 daysfor each glycemic holter, identification of the model from the first 3 days of recording and comparison during the last 3 days of the predicted results with the observed glucose levels. And comparison, in the "delayed modelling" arm, of the doses estimated by the diabetologist and the doses estimated from the model.
assessment of patient compliance75 daysevaluation of the difference between the theoretical doses recommended following modelling and the actual doses given by the patient
assessment of patient acceptance75 daysQuality of life questionnaire SF36
the average time of medical consultation in each group.75 daysDuration of the consultation
changes in heart rate over time75 days
changes in activity over time75 days

Countries

France

Contacts

PRINCIPAL_INVESTIGATORLucy CHAILLOUS, Dr

Nantes University Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 15, 2026