Literature DB >> 32634109

Continuous glucose monitoring reduces pubertal hyperglycemia of type 1 diabetes.

Benjamin Udoka Nwosu1, Shamima Yeasmin2, Sanaa Ayyoub2, Shwetha Rupendu1, Tony R Villalobos-Ortiz1, Gabrielle Jasmin1, Sadichchha Parajuli1, Bita Zahedi2, Emily Zitek-Morrison3, Laura C Alonso4, Bruce A Barton3.   

Abstract

Background Physiologic hyperglycemia of puberty is a major contributor to poor glycemic control in youth with type 1 diabetes (T1D). This study's aim was to determine the effectiveness of continuous glucose monitoring (CGM) to improve glycemic control in pubertal youth with T1D compared to a non-CGM cohort after controlling for age, sex, BMI, duration, and insulin delivery methodology. The hypothesis is that consistent CGM use in puberty improves compliance with diabetes management, leading to increased percentage (%) time in range (TIR70-180 mg/dL) of glycemia, and lowering of HbA1c. Methods A longitudinal, retrospective, case-controlled study of 105 subjects consisting of 51 T1D controls (60.8% male) age 11.5 ± 3.8 y; and 54 T1D subjects (48.1% male) age 11.1 ± 5.0 y with confirmed CGM use for 12 months. Pubertal status was determined by Tanner staging. Results were adjusted for baseline HbA1c and diabetes duration. Results HbA1c was similar between the controls and the CGM group at baseline: 8.2 ± 1.1% vs 8.3 ± 1.2%, p=0.48 respectively; but was significantly lower in the CGM group 12 months later, 8.2 ± 1.1% vs. 8.7 ± 1.4%, p=0.035. Longitudinal change in HbA1c was similar in the prepubertal cohort between the control- and CGM groups: -0.17 ± 0.98% vs. 0.38 ± 1.5%, p=0.17. In contrast, HbA1c increased with advancing age and pubertal status in the pubertal controls but not in the pubertal CGM group: 0.55 ± 1.4 vs -0.22 ± 1.1%, p=0.020. Percent TIR was inversely related to HbA1c in the CGM group, r=-0.6, p=0.0004, for both prepubertal and pubertal subjects. Conclusions CGM use significantly improved glycemic control in pubertal youth with T1D compared to non-CGM users.

Entities:  

Keywords:  children; continuous glucose monitoring; hemoglobin A1c; puberty; type 1 diabetes

Mesh:

Substances:

Year:  2020        PMID: 32634109      PMCID: PMC9064487          DOI: 10.1515/jpem-2020-0057

Source DB:  PubMed          Journal:  J Pediatr Endocrinol Metab        ISSN: 0334-018X            Impact factor:   1.520


  38 in total

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3.  Hemoglobin A1c (HbA1c) changes over time among adolescent and young adult participants in the T1D exchange clinic registry.

Authors:  Mark A Clements; Nicole C Foster; David M Maahs; Desmond A Schatz; Beth A Olson; Eva Tsalikian; Joyce M Lee; Christine M Burt-Solorzano; William V Tamborlane; Vincent Chen; Kellee M Miller; Roy W Beck
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4.  Racial-ethnic disparities in management and outcomes among children with type 1 diabetes.

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5.  The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c.

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7.  The effect of continuous glucose monitoring in well-controlled type 1 diabetes.

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8.  Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes.

Authors:  Roy W Beck; Bruce Buckingham; Kellee Miller; Howard Wolpert; Dongyuan Xing; Jennifer M Block; H Peter Chase; Irl Hirsch; Craig Kollman; Lori Laffel; Jean M Lawrence; Kerry Milaszewski; Katrina J Ruedy; William V Tamborlane
Journal:  Diabetes Care       Date:  2009-08-12       Impact factor: 19.112

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10.  A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes.

Authors:  Katherine R Marino; Rachel L Lundberg; Aastha Jasrotia; Louise S Maranda; Michael J Thompson; Bruce A Barton; Laura C Alonso; Benjamin Udoka Nwosu
Journal:  PLoS One       Date:  2017-05-01       Impact factor: 3.752

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  2 in total

1.  COVID-19 Pandemic and Pediatric Type 1 Diabetes: No Significant Change in Glycemic Control During The Pandemic Lockdown of 2020.

Authors:  Benjamin Udoka Nwosu; Layana Al-Halbouni; Sadichchha Parajuli; Gabrielle Jasmin; Emily Zitek-Morrison; Bruce A Barton
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-10       Impact factor: 6.055

2.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03
  2 in total

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