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Background/objectives <p>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.</p> Subjects/methods <p>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.</p> Results <p>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 (<i>β</i> = −0.772, <i>p</i> &lt; 0.001), 7-day mean glucose (<i>β</i> = 0.800, <i>p</i> &lt; 0.001) and HbA1c (<i>β</i> = 0.434, <i>p</i> &lt; 0.001), whereas the glucose peak was the main predictor of short-term glycemic variability, as reflected by the 7-day coefficient of variation (<i>β</i> = 0.258, <i>p</i> = 0.006) and mean amplitude of glucose excursions (<i>β</i> = 0.613, <i>p</i> &lt; 0.001).</p> Conclusion <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月17日

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

摘要

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.