Literature DB >> 33334807

A Randomized Clinical Trial Assessing Continuous Glucose Monitoring (CGM) Use With Standardized Education With or Without a Family Behavioral Intervention Compared With Fingerstick Blood Glucose Monitoring in Very Young Children With Type 1 Diabetes.

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Abstract

OBJECTIVE: This study evaluated the effects of continuous glucose monitoring (CGM) combined with family behavioral intervention (CGM+FBI) and CGM alone (Standard-CGM) on glycemic outcomes and parental quality of life compared with blood glucose monitoring (BGM) in children ages 2 to <8 years with type 1 diabetes. RESEARCH DESIGN AND METHODS: This was a multicenter (N = 14), 6-month, randomized controlled trial including 143 youth 2 to <8 years of age with type 1 diabetes. Primary analysis included treatment group comparisons of percent time in range (TIR) (70-180 mg/dL) across follow-up visits.
RESULTS: Approximately 90% of participants in the CGM groups used CGM ≥6 days/week at 6 months. Between-group TIR comparisons showed no significant changes: CGM+FBI vs. BGM 3.2% (95% CI -0.5, 7.0), Standard-CGM vs. BGM 0.5% (-2.6 to 3.6), CGM+FBI vs. Standard-CGM 2.7% (-0.6, 6.1). Mean time with glucose level <70 mg/dL was reduced from baseline to follow-up in the CGM+FBI (from 5.2% to 2.6%) and Standard-CGM (5.8% to 2.5%) groups, compared with 5.4% to 5.8% with BGM (CGM+FBI vs. BGM, P < 0.001, and Standard-CGM vs. BGM, P < 0.001). No severe hypoglycemic events occurred in the CGM+FBI group, one occurred in the Standard-CGM group, and five occurred in the BGM group. CGM+FBI parents reported greater reductions in diabetes burden and fear of hypoglycemia compared with Standard-CGM (P = 0.008 and 0.04) and BGM (P = 0.02 and 0.002).
CONCLUSIONS: CGM used consistently over a 6-month period in young children with type 1 diabetes did not improve TIR but did significantly reduce time in hypoglycemia. The FBI benefited parental well-being.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 33334807      PMCID: PMC9162100          DOI: 10.2337/dc20-1060

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


  6 in total

1.  Nighttime is the worst time: Parental fear of hypoglycemia in young children with type 1 diabetes.

Authors:  Michelle A Van Name; Marisa E Hilliard; Claire T Boyle; Kellee M Miller; Daniel J DeSalvo; Barbara J Anderson; Lori M Laffel; Stephanie E Woerner; Linda A DiMeglio; William V Tamborlane
Journal:  Pediatr Diabetes       Date:  2017-04-21       Impact factor: 4.866

2.  State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016-2018.

Authors:  Nicole C Foster; Roy W Beck; Kellee M Miller; Mark A Clements; Michael R Rickels; Linda A DiMeglio; David M Maahs; William V Tamborlane; Richard Bergenstal; Elizabeth Smith; Beth A Olson; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2019-01-18       Impact factor: 6.118

3.  A randomized clinical trial to assess the efficacy and safety of real-time continuous glucose monitoring in the management of type 1 diabetes in young children aged 4 to <10 years.

Authors:  Nelly Mauras; Roy Beck; Dongyuan Xing; Katrina Ruedy; Bruce Buckingham; Michael Tansey; Neil H White; Stuart A Weinzimer; William Tamborlane; Craig Kollman
Journal:  Diabetes Care       Date:  2011-12-30       Impact factor: 19.112

4.  Alterations in white matter structure in young children with type 1 diabetes.

Authors:  Naama Barnea-Goraly; Mira Raman; Paul Mazaika; Matthew Marzelli; Tamara Hershey; Stuart A Weinzimer; Tandy Aye; Bruce Buckingham; Nelly Mauras; Neil H White; Larry A Fox; Michael Tansey; Roy W Beck; Katrina J Ruedy; Craig Kollman; Peiyao Cheng; Allan L Reiss
Journal:  Diabetes Care       Date:  2013-12-06       Impact factor: 19.112

5.  Neuroanatomical correlates of dysglycemia in young children with type 1 diabetes.

Authors:  Matthew J Marzelli; Paul K Mazaika; Naama Barnea-Goraly; Tamara Hershey; Eva Tsalikian; William Tamborlane; Nelly Mauras; Neil H White; Bruce Buckingham; Roy W Beck; Katrina J Ruedy; Craig Kollman; Peiyao Cheng; Allan L Reiss
Journal:  Diabetes       Date:  2013-10-29       Impact factor: 9.461

6.  Acute Hyperglycemia and Spatial Working Memory in Adolescents With Type 1 Diabetes.

Authors:  Jasna Šuput Omladič; Anka Slana Ozimič; Andrej Vovk; Dušan Šuput; Grega Repovš; Klemen Dovc; Nataša Bratina; Magdalena Avbelj Stefanija; Tadej Battelino
Journal:  Diabetes Care       Date:  2020-05-29       Impact factor: 19.112

  6 in total
  11 in total

1.  Psychological Characteristics and Goals of Caregivers Choosing Continuous Glucose Monitoring for Children With Type 1 Diabetes.

Authors:  Lina Alkhaled; MaryAnn O'Riordan; Sarah MacLeish; Rebecca Hazen; Jamie R Wood
Journal:  Diabetes Spectr       Date:  2022-02-08

2.  'Much more convenient, just as effective': Experiences of starting continuous glucose monitoring remotely following Type 1 diabetes diagnosis.

Authors:  Molly L Tanenbaum; Dessi P Zaharieva; Ananta Addala; Priya Prahalad; Julie A Hooper; Brianna Leverenz; Ana L Cortes; Nora Arrizon-Ruiz; Erica Pang; Franziska Bishop; David M Maahs
Journal:  Diabet Med       Date:  2022-08-08       Impact factor: 4.213

Review 3.  Current Status and Emerging Options for Automated Insulin Delivery Systems.

Authors:  Gregory P Forlenza; Rayhan A Lal
Journal:  Diabetes Technol Ther       Date:  2022-03-14       Impact factor: 7.337

Review 4.  Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes.

Authors:  Molly L Tanenbaum; Persis V Commissariat
Journal:  Curr Diab Rep       Date:  2022-05-06       Impact factor: 5.430

Review 5.  Young Children with Type 1 Diabetes: Recent Advances in Behavioral Research.

Authors:  Maureen Monaghan; Breana L Bryant; Hailey Inverso; Hailey R Moore; Randi Streisand
Journal:  Curr Diab Rep       Date:  2022-04-18       Impact factor: 5.430

6.  Continuous glucose monitoring use and glucose variability in very young children with type 1 diabetes (VibRate): A multinational prospective observational real-world cohort study.

Authors:  Klemen Dovc; Michelle Van Name; Barbara Jenko Bizjan; Ewa Rusak; Claudia Piona; Gul Yesiltepe-Mutlu; Rosaline Mentink; Giulio Frontino; Maddalena Macedoni; Sofia Helena Ferreira; Joana Serra-Caetano; Júlia Galhardo; Julie Pelicand; Francesca Silvestri; Jennifer Sherr; Agata Chobot; Torben Biester
Journal:  Diabetes Obes Metab       Date:  2021-12-27       Impact factor: 6.408

7.  The effect of do-it-yourself real-time continuous glucose monitoring on psychological and glycemic variables in children with type 1 diabetes: A randomized crossover trial.

Authors:  Mona M Elbalshy; Sara Styles; Jillian J Haszard; Barbara C Galland; Hamish Crocket; Craig Jefferies; Esko Wiltshire; Paul Tomlinson; Martin I de Bock; Benjamin J Wheeler
Journal:  Pediatr Diabetes       Date:  2022-03-13       Impact factor: 3.409

8.  Non-adjunctive continuous glucose monitoring for control of hypoglycaemia (COACH): Results of a post-approval observational study.

Authors:  Stayce E Beck; Colleen Kelly; David A Price
Journal:  Diabet Med       Date:  2021-11-23       Impact factor: 4.213

Review 9.  Effect of divergent continuous glucose monitoring technologies on glycaemic control in type 1 diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials.

Authors:  Mona Elbalshy; Jillian Haszard; Hazel Smith; Sarahmarie Kuroko; Barbara Galland; Nick Oliver; Viral Shah; Martin I de Bock; Benjamin J Wheeler
Journal:  Diabet Med       Date:  2022-04-25       Impact factor: 4.213

10.  Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.

Authors:  Iman Al-Gadi; Sruthi Menon; Sarah K Lyons; Daniel J DeSalvo
Journal:  Diabetes Spectr       Date:  2021-05-25
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