4.7 Article

Validity of continuous glucose monitoring for categorizing glycemic responses to diet: implications for use in personalized nutrition

期刊

AMERICAN JOURNAL OF CLINICAL NUTRITION
卷 115, 期 6, 页码 1569-1576

出版社

ELSEVIER SCIENCE INC
DOI: 10.1093/ajcn/nqac026

关键词

continuous glucose monitoring; precision nutrition; meal responses; diet; glycemic variability

资金

  1. Zoe Ltd
  2. Wellcome Trust
  3. Medical Research Council
  4. Versus Arthritis
  5. European Union
  6. Chronic Disease Research Foundation (CDRF)
  7. Zoe Global Ltd
  8. National Institute for Health Research (NIHR) Clinical Research Network (CRN)
  9. National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust
  10. King's College London
  11. Biotechnology and Biological Sciences Research Council [BB/NO12739/1]
  12. Stuart and Suzanne Steele MGH Research Scholar Award
  13. European Research Council [CoG-2015_681742_NASCENT]
  14. Swedish Research Council
  15. Novo Nordisk Foundation
  16. Swedish Foundation for Strategic Research IRC award
  17. National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre
  18. MRC
  19. ChronicDisease Research Foundation
  20. NIHR
  21. American Diabetes Association [7-21-JDFM-005]
  22. NIH [P30 DK40561]
  23. [R35 CA253185]

向作者/读者索取更多资源

This study aimed to evaluate the concordance of two simultaneously worn continuous glucose monitor (CGM) devices in measuring postprandial glycemic responses. The results showed a strong concordance between the two devices in measuring postprandial glycemic responses, suggesting their potential use in personalized nutrition.
Background Continuous glucose monitor (CGM) devices enable characterization of individuals' glycemic variation. However, there are concerns about their reliability for categorizing glycemic responses to foods that would limit their potential application in personalized nutrition recommendations. Objectives We aimed to evaluate the concordance of 2 simultaneously worn CGM devices in measuring postprandial glycemic responses. Methods Within ZOE PREDICT (Personalised Responses to Dietary Composition Trial) 1, 394 participants wore 2 CGM devices simultaneously [n = 360 participants with 2 Abbott Freestyle Libre Pro (FSL) devices; n = 34 participants with both FSL and Dexcom G6] for <= 14 d while consuming standardized (n = 4457) and ad libitum (n = 5738) meals. We examined the CV and correlation of the incremental area under the glucose curve at 2 h (glucose(iAUC0-2 h)). Within-subject meal ranking was assessed using Kendall tau rank correlation. Concordance between paired devices in time in range according to the American Diabetes Association cutoffs (TIRADA) and glucose variability (glucose CV) was also investigated. Results The CV of glucose(iAUC0-2 h) for standardized meals was 3.7% (IQR: 1.7%-7.1%) for intrabrand device and 12.5% (IQR: 5.1%-24.8%) for interbrand device comparisons. Similar estimates were observed for ad libitum meals, with intrabrand and interbrand device CVs of glucose(iAUC0-2 h) of 4.1% (IQR: 1.8%-7.1%) and 16.6% (IQR: 5.5%-30.7%), respectively. Kendall tau rank correlation showed glucose(iAUC0-2h)-derived meal rankings were agreeable between paired CGM devices (intrabrand: 0.9; IQR: 0.8-0.9; interbrand: 0.7; IQR: 0.5-0.8). Paired CGMs also showed strong concordance for TIRADA with a intrabrand device CV of 4.8% (IQR: 1.9%-9.8%) and an interbrand device CV of 3.2% (IQR: 1.1%-6.2%). Conclusions Our data demonstrate strong concordance of CGM devices in monitoring glycemic responses and suggest their potential use in personalized nutrition. This trial was registered at clinicaltrials.gov as NCT03479866.

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