Diabetes technology

Imputation Model for Glucose Values Above the Upper Detection Limit for Continuous Glucose Monitors

Diabetes Technol TherPublished Model development and validation study

Authors' conclusion

An imputation model for glucose values above the upper detection limit of CGMs was developed and validated in various populations.

Study context

Population
Inpatients with T2D and outpatients with T1D or T2D using CGM
Participants
85 / 705 / 27
Comparison
Imputed vs uncensored CGM data
  • Hospitalized T2Dn = 85
  • Outpatients T1Dn = 705
  • Outpatients T2Dn = 27
Outcome
Bias, MSE and R2 of mean glucose, SD and CV after imputation vs uncensored CGM data
Methodological detailsBayesian nonparametric latent Gaussian process regression model, intentional right censoring of top 5%, 10%, 20% and 30%
  • Bayesian nonparametric latent Gaussian process regression model
  • Intentional right censoring of top 5%, 10%, 20% and 30%

Performance

As reported in the abstract

Bias after imputation, 5% to 30% right censoring
Test or modelBias on mean glucoseBias on SDBias on coefficient of variation (CV)
Hospitalized T2D−0.012 to 0.362−0.024 to 0.226−0.207 to 1.543
Outpatients T1D−0.018 to 0.485−0.033 to 0.381−0.316 to 2.609
Outpatients T2D−0.008 to 0.130−0.016 to 0.138−0.222 to 1.721

Bias on mean glucose

Hospitalized T2D−0.012 to 0.362
Outpatients T1D−0.018 to 0.485
Outpatients T2D−0.008 to 0.130

Bias on SD

Hospitalized T2D−0.024 to 0.226
Outpatients T1D−0.033 to 0.381
Outpatients T2D−0.016 to 0.138

Bias on coefficient of variation (CV)

Hospitalized T2D−0.207 to 1.543
Outpatients T1D−0.316 to 2.609
Outpatients T2D−0.222 to 1.721

Original publication

Imputation Model for Glucose Values Above the Upper Detection Limit for Continuous Glucose Monitors. Diabetes Technol Ther. Published 21 May 2025. doi:10.1089/dia.2025.0092

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