Díaz-Soto G, Bahíllo-Curieses MP, Jimenez R, Nieto MDLO, Gomez E, Torres B, López Gomez JJ, de Luis D. The relationship between glycosylated hemoglobin, time-in-range and glycemic variability in type 1 diabetes patients under flash glucose monitoring.
ENDOCRINOL DIAB NUTR 2021;
68:465-471. [PMID:
34863411 DOI:
10.1016/j.endien.2021.11.006]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 09/23/2020] [Indexed: 06/13/2023]
Abstract
OBJECTIVES
Flash glucose monitoring in patients with type 1 diabetes provides new glucometric data that allow for the assessment of glycemic control beyond HbA1c. The objective of the study was to evaluate the relationship between HbA1c, time-in-range (TIR) and glycemic variability in a cohort of paediatric and adult patients with type 1 diabetes and treatment with flash glucose monitoring.
MATERIAL AND METHODS
This was a cross-sectional study in 195 patients with type 1 diabetes (42.6% females, 70 paediatric, 26.2% continuous subcutaneous insulin infusion, 28.7% coefficient of variation [CV]≤36%) in intensive treatment and flash glucose monitoring. Clinical, analytical and glucometric data were evaluated.
RESULTS
The relationship between the TIR and HbA1c showed a strong negative linear correlation (R=-0.746; R2=0.557; P<.001), modified in those patients with CV≤36% (R=-0.852; R2=0.836) compared to CV>36% (R=-0.703; R2=0.551). A similar correlation was found when evaluating the TIR and the Glucose Management Indicator (R=-0.846; R2=0.715; P<.001); in patients with CV≤36% (R=-0.980; R2=0.960) versus CV>36% (R=-0.837; R2=0.701); P<.001. Both correlations remained stable in the paediatric population (R=-0.724; R2=0.525; P<.001) and adults (R=-0.706; R2=0.498; P<.001) and by type of treatment: multiple doses of insulin (R=-0.747; R2=0.558; P<.001) and continuous subcutaneous insulin infusion (R=-0.711; R2=0.506; P<.001). In a multiple regression analysis evaluating HbA1c as dependent variable, the only parameters that maintained statistical significance were the TIR (β=-0,031; P<.001), CV (β=0.843; P<.05) and TIR-CV interaction (β=-0.017; P<.01).
CONCLUSIONS
The glycemic variability defined by the CV modifies the relationship between the TIR and HbA1c/Glucose Management Indicator and should be taken into account when individualising TIR targets, regardless of age or the type of treatment used.
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