August 7, 2025

Continuous Glucose Monitoring Metrics Predict All-cause Mortality in Diabetes, A Real-world Long-term Study

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Real-world analysis shows continuous glucose monitoring metrics predict mortality in diabetes, indicating the importance of glucose control.

Elevated mean glucose, time-above-range, coefficient of variation, and glycemic risk index correlated with increased all-cause mortality in diabetes.
Lower time-in-range during the 6-month period was linked to higher mortality risk, highlighting its importance in diabetes management.
The study analyzed data from 2,752 adults with diabetes over a five-year period to assess mortality related to CGM metrics.
Findings support the relevance of continuous glucose monitoring in understanding long-term risks beyond traditional metrics like HbA1c.

Okuno et al. (2025) studied this question.

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August 7, 2025

View Full Paper

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Authors

Real-world analysis shows continuous glucose monitoring metrics predict mortality in diabetes, indicating the importance of glucose control.

Elevated mean glucose, time-above-range, coefficient of variation, and glycemic risk index correlated with increased all-cause mortality in diabetes.
Lower time-in-range during the 6-month period was linked to higher mortality risk, highlighting its importance in diabetes management.
The study analyzed data from 2,752 adults with diabetes over a five-year period to assess mortality related to CGM metrics.
Findings support the relevance of continuous glucose monitoring in understanding long-term risks beyond traditional metrics like HbA1c.

Okuno et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark