CGM Boosted by Artificial Intelligence for Better Glycaemic Control in T2 Diabetes
NCT ID: NCT07064499
Last Updated: 2025-08-11
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
440 participants
OBSERVATIONAL
2023-12-15
2027-07-31
Brief Summary
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Background: In Belgium, since May 2023, reimbursement for continuous glucose monitoring systems has been extended to people with type 2 diabetes taking multiple injections of insulin. Despite the results of previous studies, the impact of this technology in terms of glycaemic control and patient-reported outcomes (PROMs) in real life for patients with type 2 diabetes is still unclear.
Objective: To evaluate the impact of the CGMs on glycemic control and PROMs in people living with type 2 diabetes under real-life conditions.
Methods and analysis: In a multicenter real-world observational study, more than 440 people with type 2 diabetes under multiple daily injection therapy who start to be monitored by a CGM in one of the 13 participating Belgian centers, will be followed for a period of 24 months.
Outcomes: The primary and secondary endpoint are respectively the evolution of time spent in range (defined as a sensor glucose value between 70 and 180 mg/dL) and HbA1c from before start to 12 months after start of the CGM.
Exploratory objectives will be studied using artificial intelligence (AI) to study glucose profiles to characterize the heterogeneity of type 2 diabetes.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Treatment that raises blood sugar levels (corticosteroids, etc.)
* Secondary and type 1 diabetes
* Patient not able to sign the Informed Consent
18 Years
ALL
No
Sponsors
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Erasme University Hospital
OTHER
Responsible Party
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Locations
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HUB-Hôpital ERASME
Brussels, , Belgium
Countries
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References
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Zaccardi F, Khunti K. Glucose dysregulation phenotypes - time to improve outcomes. Nat Rev Endocrinol. 2018 Nov;14(11):632-633. doi: 10.1038/s41574-018-0092-3. No abstract available.
Hall H, Perelman D, Breschi A, Limcaoco P, Kellogg R, McLaughlin T, Snyder M. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul.
Slieker RC, Donnelly LA, Fitipaldi H, Bouland GA, Giordano GN, Akerlund M, Gerl MJ, Ahlqvist E, Ali A, Dragan I, Festa A, Hansen MK, Mansour Aly D, Kim M, Kuznetsov D, Mehl F, Klose C, Simons K, Pavo I, Pullen TJ, Suvitaival T, Wretlind A, Rossing P, Lyssenko V, Legido-Quigley C, Groop L, Thorens B, Franks PW, Ibberson M, Rutter GA, Beulens JWJ, 't Hart LM, Pearson ER. Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study. Diabetologia. 2021 Sep;64(9):1982-1989. doi: 10.1007/s00125-021-05490-8. Epub 2021 Jun 10.
Ahlqvist E, Storm P, Karajamaki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P, Wessman Y, Shaat N, Spegel P, Mulder H, Lindholm E, Melander O, Hansson O, Malmqvist U, Lernmark A, Lahti K, Forsen T, Tuomi T, Rosengren AH, Groop L. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018 May;6(5):361-369. doi: 10.1016/S2213-8587(18)30051-2. Epub 2018 Mar 5.
Haak T, Hanaire H, Ajjan R, Hermanns N, Riveline JP, Rayman G. Flash Glucose-Sensing Technology as a Replacement for Blood Glucose Monitoring for the Management of Insulin-Treated Type 2 Diabetes: a Multicenter, Open-Label Randomized Controlled Trial. Diabetes Ther. 2017 Feb;8(1):55-73. doi: 10.1007/s13300-016-0223-6. Epub 2016 Dec 20.
McGill JB, Ahmann A. Continuous Glucose Monitoring with Multiple Daily Insulin Treatment: Outcome Studies. Diabetes Technol Ther. 2017 Jun;19(S3):S3-S12. doi: 10.1089/dia.2017.0090.
Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ 3rd, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Norgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care. 2019 Aug;42(8):1593-1603. doi: 10.2337/dci19-0028. Epub 2019 Jun 8.
Other Identifiers
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SRB2021470
Identifier Type: -
Identifier Source: org_study_id
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