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Copyright (c) 2025 Veronique Di Costanzo, Pauline Scheapelynck, Vincent Gardan, Sophie Lafond, Jean Noel Gouze
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.An early prediction of postprandial glycemia evolution using the MD001 algorithm: a muticentre prospective trial
Corresponding Author(s) : Jean Noel Gouze
Cellular and Molecular Biology,
Vol. 71 No. 8: Issue 8
Abstract
To date, the closed-loop system represents the best commercialized management of type 1 diabetes. However, mealtimes still require carbohydrate estimation and are often associated with postprandial hyperglycemia which may contribute to poor metabolic control and long -term complications. A multicentre, prospective, non-interventional clinical trial was designed to determine the effectiveness of a novel algorithm to predict changes in blood glucose levels two hours after a usual meal. Forty patients were included, and 765 meals were analyzed of which 278 were followed by a postprandial hyperglycemic event i.e. value > 160 mg/dL two hours after the start of the meal. The developed algorithm correctly predicts the postprandial hyperglycemia risk or absence of risk in 87% of cases. The results suggest that early prediction of the glycemic evolution within a few minutes after the end of a meal can considerably improve the postprandial hyperglycemia management and thus reduce the associated emotional burden. The study was supported by M-DT1 SAS, France.
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