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CGM-Based Glycemic Metrics Support Estimating Nutritional Risk After Total Pancreatectomy: An Exploratory
Ryoma Nakamura1, Miyuki Yanagimachi1, Kento Mitsuhashi1
1Department of Endocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan.
Journal of Clinical Medicine
|October 16, 2025
Summary
After total pancreatectomy, patients with higher blood glucose and less time in range (TIR) showed worsening malnutrition risk. Continuous glucose monitoring (CGM) metrics may identify at-risk patients post-surgery.
Area of Science:
- Endocrinology
- Metabolic Disorders
- Surgical Outcomes
Background:
- Total pancreatectomy leads to pancreatogenic diabetes, causing glycemic variability and malnutrition risk.
- Malnutrition can occur despite adequate intake and pancreatic enzyme replacement therapy (PERT).
Purpose of the Study:
- To investigate the association between glycemic variability and nutritional decline after total pancreatectomy.
- To determine if continuous glucose monitoring (CGM) metrics can predict malnutrition risk.
Main Methods:
- Retrospective analysis of 14 patients post-total pancreatectomy using CGM.
- Nutritional status assessed via Geriatric Nutritional Risk Index (GNRI).
- Comparison of glycemic indices, dietary intake, and PERT between malnutrition-risk progression and nutrition-maintaining groups.
Main Results:
- The malnutrition-risk progression group had higher mean glucose and time above range, and lower time in range (TIR).
- Lower TIR was inversely associated with malnutrition-risk progression, independent of dietary intake or PERT.
- Hyperglycemia and reduced TIR correlated with worsening GNRI.
Conclusions:
- Reduced TIR and hyperglycemia are linked to worsening nutritional status after total pancreatectomy.
- CGM-derived glycemic metrics can identify patients at risk of malnutrition.
- These findings may guide postoperative management strategies.

