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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Dynamic Interference Testing-Unexpected Results Obtained with the Abbott Libre 2 and Dexcom G6 Continuous Glucose

Hendrick Jensch1,2, Steven Setford3, Nicole Thomé1,2

  • 1Pfützner Science & Health Institute, Haifa-Allee 20, 55128 Mainz, Germany.

Sensors (Basel, Switzerland)
|April 12, 2025
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Summary

Continuous glucose monitoring (CGM) sensors like Abbott Libre2 and Dexcom G6 can be affected by various substances. This study identified specific nutritional, pharmaceutical, and endogenous compounds that interfere with CGM sensor accuracy.

Keywords:
Abbott Libre 2Dexcom G6continuous glucose monitoringdynamic interference testinginterferents

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Endocrinology

Background:

  • Continuous glucose monitoring (CGM) is crucial for diabetes management.
  • Limited understanding exists regarding CGM sensor interference from common substances.
  • Previous development of an in vitro dynamic interference testing method.

Purpose of the Study:

  • To evaluate the sensitivity of Abbott Libre2 (L2) and Dexcom G6 (G6) CGM sensors to a wide range of interfering substances.
  • To identify specific nutritional, pharmaceutical, and endogenous compounds affecting CGM sensor performance.

Main Methods:

  • In vitro testing of L2 and G6 sensors exposed to substance gradients.
  • Stable glucose concentration of 200 mg/dL maintained during testing.
  • Interference defined as a mean bias of ±10% from baseline.

Main Results:

  • Both L2 and G6 sensors showed interference with galactose, mannose, dithiothreitol, and N-acetyl-cysteine.
  • Several substances uniquely interfered with L2 (e.g., ascorbic acid, ibuprofen) or G6 (e.g., acetaminophen, ethyl alcohol).
  • G6 sensors experienced calibration issues (fouling) after exposure to certain substances like dithiothreitol and l-cysteine.

Conclusions:

  • A standardized dynamic testing protocol identified numerous substances impacting L2 and G6 CGM sensor signals.
  • Findings highlight potential real-world implications for CGM accuracy in individuals with diabetes.
  • Further clinical trials are recommended to validate these interference effects in routine care settings.