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。

Veronique Di Costanzo, Pauline Scheapelynck, Vincent Gardan, Sophie Lafond, Jean Noel Gouze
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引用次数: 0

摘要

迄今为止,闭环系统代表了1型糖尿病的最佳商业化管理。然而,进餐时间仍然需要碳水化合物估算,并且经常与餐后高血糖有关,这可能导致代谢控制不良和长期并发症。一项多中心、前瞻性、非介入性临床试验旨在确定一种预测正常用餐后两小时血糖水平变化的新算法的有效性。纳入40例患者,分析765餐,其中278餐后出现餐后高血糖事件,即餐后两小时血糖值> 160 mg/dL。开发的算法正确预测餐后高血糖风险或在87%的情况下没有风险。结果表明,在餐后几分钟内早期预测血糖演变可以显著改善餐后高血糖的管理,从而减少相关的情绪负担。这项研究得到了法国M-DT1 SAS公司的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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