Veronique Di Costanzo, Pauline Scheapelynck, Vincent Gardan, Sophie Lafond, Jean Noel Gouze
{"title":"使用MD001算法早期预测餐后血糖演变:一项多中心前瞻性试验。","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":"{\"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}","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}
An early prediction of postprandial glycemia evolution using the MD001 algorithm: a muticentre prospective trial.
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.