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Discrepancies between current displayed and auto-logged glucose values in FreeStyle Libre 3: Implications for
Lilian Witthauer1,2, Camilo Mendez1,2,3, José Garcia-Tirado1,2
1Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Discrepancies between auto-logged (AL) and current displayed (CUR) glucose values from the FreeStyle Libre 3 system are small but systematic. These differences are more pronounced during hypoglycemia and rapid glucose changes, impacting clinical interpretation.
Area of Science:
- Diabetes Technology
- Endocrinology
- Biomedical Engineering
Background:
- The FreeStyle Libre 3 (FSL3) continuous glucose monitoring (CGM) system offers both auto-logged (AL) and current displayed (CUR) glucose values.
- These values are often treated as interchangeable, but potential discrepancies and their clinical significance require thorough investigation.
Purpose of the Study:
- To compare AL and CUR glucose values from the FSL3 system.
- To investigate the clinical relevance of any observed discrepancies, particularly in critical glycemic situations.
Main Methods:
- Analysis of 15-day FSL3 data from 24 participants, including in-clinic sessions with controlled glycemic excursions.
- Paired AL and CUR readings were compared using descriptive statistics, Wilcoxon signed-rank tests, and MARD calculations.
- Display errors were analyzed for associations with glucose level and rate of change (RoC).
Main Results:
- CUR values were generally comparable to AL (mean difference: -1.2 ± 6.4 mg/dL), with slight underestimation in hypoglycemia.
- Approximately 10% of readings showed discrepancies exceeding ±10 mg/dL.
- Mean Absolute Relative Difference (MARD) was similar for AL (9.7%) and CUR (10.1%), with increased deviation during hypoglycemia.
- Display errors (3.9%) were more frequent at high glucose levels and during rapid RoC (p < 0.001).
Conclusions:
- While generally small, differences between AL and CUR glucose values are systematic and amplified during hypoglycemia and rapid glucose fluctuations.
- These discrepancies can influence the reclassification of readings across clinical thresholds, potentially affecting patient-clinician alignment.
- Understanding these patterns is crucial for accurate CGM data interpretation and optimizing automated diabetes management systems.
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