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.

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Journal
Nutrition and Diabetes
Published
2026-06-17
DOI
https://doi.org/10.1038/s41387-026-00435-9
Primary Topic
Diabetes Management and Research
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article
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article

Reproducibility of continuous glucose monitoring-derived postprandial glucose features and their association with glycemic control in type 2 diabetes

Giuseppina Costabile, Viktor Skantze, Lutgarda Bozzetto, Annalisa Giosuè et al.
Nutrition and Diabetes
Diabetes Management and Research
article

Reproducibility of continuous glucose monitoring-derived postprandial glucose features and their association with glycemic control in type 2 diabetes

Giuseppina Costabile, Viktor Skantze, Lutgarda Bozzetto, Annalisa Giosuè, Roberta Testa, Rikard Landberg, Alessandra Corrado, Giovanna D’Abbronzo, Marilena Vitale, Gabriele Riccardi, Olga Vaccaro
article en

Abstract

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.

Nutrition and Diabetes
Federico II University Hospital (IT), Fraunhofer Chalmers Research Centre for Industrial Mathematics (SE), Chalmers University of Technology (SE), University of Naples Federico II (IT)
Openalex Percentile: Top 8%
Diabetes Management and Research
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