Diabetes technology

Validation of the UVA Simulation Replay Methodology Using Clinical Data: Reproducing a Randomized Clinical Trial

Diabetes Technol TherPublished Simulation validation study

Authors' conclusion

Clinical trial data confirm the prior in silico validation of the UVA replay method in predicting the glycemic impact of modified insulin treatments.

Study context

Population
People with T1D in a randomized crossover trial comparing hybrid closed loop (HCL) and fully closed loop (FCL) automated insulin delivery (AID)64 subject/modality pairs
Comparison
Simulated vs observed glycaemic outcomes of HCL and FCL AID modalities
Outcome
Equivalence of simulated vs observed TIR, TBR, TAR, HBGI and LBGI, with equivalence margins corresponding to clinical significance
Methodological detailsreplay methodology, equivalence tests, data from randomized crossover clinical trial
  • Replay methodology
  • Equivalence tests
  • Data from randomized crossover clinical trial

Performance

As reported in the abstract

Equivalence of simulated vs observed glycaemic outcomes
  • TIR, TAR, LBGI and HBGI showed statistical and clinical equivalence between original and simulated data
  • TBR failed the equivalence test

Further findings

TIR, HCL mode · equivalence test

(CI −3.96 to 2.79) · P = 0.0170

TIR, FCL mode · equivalence test

(CI −2.54 to 4.20) · P = 0.0222

Original publication

Validation of the UVA Simulation Replay Methodology Using Clinical Data: Reproducing a Randomized Clinical Trial. Diabetes Technol Ther. Published 30 April 2024. doi:10.1089/dia.2023.0595

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

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