Predictive value of different glycemic variability indicators for prognosis in critically ill patients: a meta-analysis - Takeaways - MDSpire

Predictive value of different glycemic variability indicators for prognosis in critically ill patients: a meta-analysis

  • By

  • Lingling Wu

  • Jie Zhang

  • Weihong Shen

  • Fanglei Xu

  • June 22, 2026

  • 0 min

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  • 1

    This meta-analysis evaluates the prognostic significance of glycemic variability (GV) metrics in critically ill patients.

  • 2

    A total of 31 studies involving 98,946 patients were included, focusing on the association of GV metrics with clinical outcomes.

  • 3

    Elevated coefficient of variation (CV) and mean amplitude of glycemic excursions (MAGE) were significantly associated with increased all-cause mortality.

  • 4

    MAGE demonstrated the strongest association with 30-day all-cause mortality, with a hazard ratio of 1.50.

  • 5

    The study highlights the need for further investigation into the optimal GV metric for predicting outcomes in critically ill patients.

Original Source(s)

Predictive value of different glycemic variability indicators for prognosis in critically ill patients: a meta-analysis

  • by Lingling Wu, Jie Zhang, Weihong Shen, Fanglei Xu

  • June 22, 2026

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