Two-week continuous glucose monitoring-derived metrics and degree of hepatic steatosis: a cross-sectional study among Chinese middle-aged and elderly participants
Authors' conclusion
Higher CGM-derived mean glucose and glycemic variability were linked with higher steatosis degree. CGM-derived metrics during nighttime and daytime provided distinct and complementary insights into hepatic steatosis.
Study context
- Population
- Chinese middle-aged and elderly participants, Guangzhou Nutrition and Health Study
- Participants
- 1,180 participants
- Exposure
- Continuous glucose monitoring (CGM) metrics vs hepatic steatosis degree
- Healthyn = 698reference
- Mild steatosisn = 242
- Moderate/severe steatosisn = 240
- Outcome
- Associations of CGM metrics with degree of hepatic steatosis (MRI proton density fat fraction)
Methodological detailspopulation-based, multivariate ordinal logistic regression, machine learning prediction models
- Population-based
- Multivariate ordinal logistic regression
- Machine learning prediction models
Main finding
As reported in the abstract
Mean blood glucose, OR
1.35 (1.17, 1.56) (95% CI)
Coefficient of variation (CV) of glucose, OR
1.21 (1.06, 1.39) (95% CI)
Mean amplitude of glucose excursions (MAGE), OR
1.37 (1.19, 1.57) (95% CI)
Mean of daily differences (MODD), OR
1.35 (1.17, 1.56) (95% CI)
Observational data: associations, not effects.
Further findings
Time in range (TIR) by period and steatosis degree
- Lower daytime TIR associated with higher steatosis degree, OR
- 0.83 (0.73, 0.95) (95% CI)
- Higher nighttime TIR associated with higher steatosis degree, OR
- 1.16 (1.00, 1.33) (95% CI)
Prediction of moderate/severe steatosis (vs healthy), average AUC
- Nighttime metrics
- 0.69
- Daytime metrics
- 0.66
- All-day metrics
- 0.63
- Nighttime + daytime combined (highest; nighttime MODD most important predictor)
- 0.73
- Nighttime and daytime higher than all-day, P < 0.001 for all comparisons
Original publication
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