Diabetes technology

Dermal Glucose Sensing has a Shorter Time Lag Relative to Blood Glucose: Implications for Hypoglycemia Detection and Time in Range

J Diabetes Sci TechnolPublished Clinical study with in silico simulation

Authors' conclusion

Dermal sensing has a time lag close to 0. Individuals with DM can have lower glucose targets with a system that eliminates fear of hypoglycemia, resulting in higher TIR and better control of DM.

Study context

Population
Subjects with T1D at two US-based clinical centers
Participants
55 subjects
Comparison
Dermal continuous glucose monitors (CGM) vs commercial CGMs
Outcome
Sensor time lag (τ) vs YSI-glucose analyzer
Methodological detailstwo US-based clinical centers, YSI-glucose analyzer reference, two-compartment model, in silico proportional-integral-derivative (PID) controller (UVA type 1 diabetes simulator)
  • Two US-based clinical centers
  • YSI-glucose analyzer reference
  • Two-compartment model
  • In silico PID controller (UVA type 1 diabetes simulator)

Main finding

As reported in the abstract

Time lag (τ)
GroupValueSensors with τ of 0-2 minutesVarying distribution of τ
Dermal CGM (Laxmi)93%93%
Commercial CGMs−10 to 10+ minutes

Value

Dermal CGM (Laxmi)93%
Commercial CGMs— not stated in the abstract

Sensors with τ of 0-2 minutes

Dermal CGM (Laxmi)93%
Commercial CGMs— not stated in the abstract

Varying distribution of τ

Dermal CGM (Laxmi)— not stated in the abstract
Commercial CGMs−10 to 10+ minutes
Reduction in τ
10 minutes

Further findings

Effect of τ on time in range (TIR) (in silico PID controller, UVA type 1 diabetes simulator)

τ greatly affects TIR and the distribution of the time out of range parameters
Reduction in τ has profound effects on errors in insulin administration in open-loop and PID model of automated insulin delivery (AID)

Original publication

Dermal Glucose Sensing has a Shorter Time Lag Relative to Blood Glucose: Implications for Hypoglycemia Detection and Time in Range. J Diabetes Sci Technol. Published 8 December 2025. doi:10.1177/19322968251389630

Composed by AI from the published abstract and checked against it. How Briefs are made →

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