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Comparisons of school-day glycemia in different settings for children with type 1 diabetes using continuous glucose monitoring.
March, Christine A; Nanni, Michelle; Lutz, James; Kavanaugh, Madison; Jeong, Kwonho; Siminerio, Linda M; Rothenberger, Scott; Miller, Elizabeth; Libman, Ingrid M.
Afiliação
  • March CA; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA.
  • Nanni M; School of Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Lutz J; School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA.
  • Kavanaugh M; Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA.
  • Jeong K; Center for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA.
  • Siminerio LM; Department of Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Rothenberger S; Center for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA.
  • Miller E; Department of Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Libman IM; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA.
Pediatr Diabetes ; 20232023.
Article em En | MEDLINE | ID: mdl-37929231
Objective: Using continuous glucose monitoring (CGM), we examined patterns in glycemia during school hours for children with type 1 diabetes, exploring differences between school and non-school time. Methods: We conducted a retrospective analysis of CGM metrics in children 7-12 years (n=217, diabetes duration 3.5±2.5 years, hemoglobin A1c 7.5±0.8%). Metrics were obtained for weekday school hours (8 AM to 3 PM) during four weeks in fall 2019. Two comparison settings included weekend (fall 2019) and weekday (spring 2020) data when children had transitioned to virtual school due to COVID-19. We used multilevel mixed models to examine factors associated with time in range (TIR) and compare glycemia between in-school, weekends, and virtual school. Results: Though CGM metrics were clinically similar across settings, TIR was statistically higher, and time above range (TAR), mean glucose, and standard deviation (SD) lower, for weekends and virtual school (p<0.001). Hour and setting exhibited a significant interaction for several metrics (p<0.001). TIR in-school improved from a mean of 40.9% at the start of the school day to 58.0% later in school, with a corresponding decrease in TAR. TIR decreased on weekends (60.8 to 50.7%) and virtual school (62.2 to 47.8%) during the same interval. Mean glucose exhibited a similar pattern, though there was little change in SD. Younger age (p=0.006), lower hemoglobin A1c (p<0.001), and insulin pump use (p=0.02) were associated with higher TIR in-school. Conclusion: Although TIR was higher for weekends and virtual school, glycemic metrics improve while in-school, possibly related to beneficial school day routines.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article