Veronique Di Costanzo, Pauline Scheapelynck, Vincent Gardan, Sophie Lafond, Jean Noel Gouze
{"title":"An early prediction of postprandial glycemia evolution using the MD001 algorithm: a muticentre prospective trial.","authors":"Veronique Di Costanzo, Pauline Scheapelynck, Vincent Gardan, Sophie Lafond, Jean Noel Gouze","doi":"10.14715/cmb/2025.71.8.3","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":520584,"journal":{"name":"Cellular and molecular biology (Noisy-le-Grand, France)","volume":"71 8","pages":"14-21"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cellular and molecular biology (Noisy-le-Grand, France)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14715/cmb/2025.71.8.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.