Reproducibility of continuous glucose monitoring-derived postprandial glucose features and their association with glycemic control in type 2 diabetes
BACKGROUND/OBJECTIVES: Targeting postprandial glucose response (PPGR) is more effective than lowering fasting plasma glucose in improving glycemic control and reducing cardiovascular risk in individuals with type 2 diabetes (T2D). Continuous glucose monitoring (CGM) has the potential to uncover time-related features of PPGR. This study evaluates the within-subject reproducibility of dynamic PPGR parameters obtained by CGM and explores their potential as independent predictors of glycemic control in T2D. SUBJECTS/METHODS: A total of 102 individuals with T2D underwent a 7-day CGM and consumed a standardized breakfast twice to assess the 4-h glucose response, described by the following parameters: glucose peak-the highest glucose value; time to peak-time of peak occurrence; delta glucose max-the difference between the peak and fasting glucose; nadir-the lowest post-peak glucose value; incremental area under the glucose curve; mean postprandial glucose-the average interstitial glucose concentration. Intraclass correlation coefficients (ICCs) for both single and average measurements with their 95% confidence intervals (CIs), were calculated for PPGR parameters to estimate their within-subject reproducibility. Multivariable linear regression models assessed the independent predictive contribution of PPGR parameters, fasting glucose, and 2-h postprandial glucose on 7-day CGM metrics and HbA1c. RESULTS: Moderate to good reproducibility for single measurements was observed for mean glucose (ICC: 0.78, 95%CI 0.69-0.84), glucose peak (ICC: 0.69, 95% CI 0.57-0.78), and nadir (0.74, 95% CI 0.64-0.82). Mean postprandial glucose was the strongest predictor of 7-day time in range (β = -0.772, p < 0.001), 7-day mean glucose (β = 0.800, p < 0.001) and HbA1c (β = 0.434, p < 0.001), whereas the glucose peak was the main predictor of short-term glycemic variability, as reflected by the 7-day coefficient of variation (β = 0.258, p = 0.006) and mean amplitude of glucose excursions (β = 0.613, p < 0.001). CONCLUSION: In individuals with T2D, CGM-derived parameters of PPGR are reproducible and could represent a practical tool to uncover meaningful information about glucose control, which 2-h postprandial glucose fails to predict.
Authors
- Giuseppina Costabile (ORCID: https://orcid.org/0000-0001-5761-8002)
- Viktor Skantze (ORCID: https://orcid.org/0000-0003-1350-1165)
- Lutgarda Bozzetto (ORCID: https://orcid.org/0000-0001-6549-4476)
- Annalisa Giosuè (ORCID: https://orcid.org/0000-0002-5799-1744)
- Roberta Testa
- Rikard Landberg (ORCID: https://orcid.org/0000-0002-6399-7608)
- Alessandra Corrado (ORCID: https://orcid.org/0000-0002-5493-3549)
- Giovanna D’Abbronzo
- Marilena Vitale (ORCID: https://orcid.org/0000-0002-3566-4363)
- Gabriele Riccardi
- Olga Vaccaro
Institutions
- Federico II University Hospital (IT)
- Fraunhofer Chalmers Research Centre for Industrial Mathematics (SE)
- Chalmers University of Technology (SE)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Nutrition and Diabetes
- Published
- 2026-06-17
- DOI
- https://doi.org/10.1038/s41387-026-00435-9
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00