Type 1 diabetes

Personalized Hemoglobin A1c (A1c) Shows Better Correlation with Mean Glucose than Laboratory Hemoglobin A1c in Ugandan Youth with Type 1 Diabetes, but Mean Glucose Is Not Clinically Useful in This Population Due to Extreme Glucose Variability

Diabetes Technol TherPublished Observational study

Authors' conclusion

Neither the measured A1c nor the calculated pA1c provided reliable guidance for insulin adjustment in this population. No matter how accurately MG is measured or estimated, it is just an average, with limited clinical application in individuals with wide glycemic variation.

Study context

Population
Ugandan youth aged 4–26 years with T1D
Exposure
Personalized HbA1c vs laboratory HbA1c for estimating mean glucose
Outcome
Relationship with mean glucose (MG)
Methodological detailsblinded continuous glucose monitoring (CGM) sensor wears, CGM data averaged across three blinded sensor wears (31-41 days)
  • Blinded CGM sensor wears
  • CGM data averaged across three blinded sensor wears (31-41 days)

Main finding

As reported in the abstract

GroupR2R
Personalized A1c (pA1c)0.840.92
A1c0.400.63

R2

Personalized A1c (pA1c)0.84
A1c0.40

R

Personalized A1c (pA1c)0.92
A1c0.63

Observational data: associations, not effects.

Further findings

Glycaemic variability

Average CV
44%
Mean glucose (MG) >250 mg/dL (13.9 mmol/L)
50% of participants
≥4% time with glucose <70 mg/dL (3.9 mmol/L)
55% of participants

Clinical factors influencing red blood cell (RBC) lifespan

Clinical factors did not impact the A1c-MG relationship

Original publication

Personalized Hemoglobin A1c Shows Better Correlation with Mean Glucose than Laboratory Hemoglobin A1c in Ugandan Youth with Type 1 Diabetes, but Mean Glucose Is Not Clinically Useful in This Population Due to Extreme Glucose Variability. Diabetes Technol Ther. Published 20 March 2025. doi:10.1089/dia.2024.0537

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

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