Journal of diabetes and its complications · 2026
The role of CGM sensor wear-time on the relationship between time-in-range and HbA1c.
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Johnson Adam, Straton Emma, Maya Giselle, White Sydney, Barber John, Majidi Shideh, Perkins Amanda, Streisand Randi
Аннотация
BACKGROUND: Continuous Glucose Monitor (CGM) Time-in-Range (TIR) is a valuable glycemic metric, with TIR >70% linked to lower HbA1c. Less is known about TIR reliability with lower CGM wear-time.
METHOD: This study examined the TIR-HbA1c association in 60 youth with type 1 diabetes (T1D) with ≥70% vs. <70% CGM wear-time. Pearson correlations between TIR and HbA1c were calculated within each wear-time group and compared using a Fisher r-to-z transformation.
RESULTS: Correlations between TIR and HbA1c were significant in both wear time groups (≥70% r = -0.800, p < .001; <70% r = -0.404, p < .001), with the ≥70% group having a significantly stronger association (z = 3.15, p = .0016).
CONCLUSION: Although the association was weaker among those with <70% wear-time, statistical significance suggests there may be utility in relying on lower wear-time data when needed.
METHOD: This study examined the TIR-HbA1c association in 60 youth with type 1 diabetes (T1D) with ≥70% vs. <70% CGM wear-time. Pearson correlations between TIR and HbA1c were calculated within each wear-time group and compared using a Fisher r-to-z transformation.
RESULTS: Correlations between TIR and HbA1c were significant in both wear time groups (≥70% r = -0.800, p < .001; <70% r = -0.404, p < .001), with the ≥70% group having a significantly stronger association (z = 3.15, p = .0016).
CONCLUSION: Although the association was weaker among those with <70% wear-time, statistical significance suggests there may be utility in relying on lower wear-time data when needed.