Literature DB >> 34850024

Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Type 1 Diabetes: the Pilot 4T Study.

Priya Prahalad1,2, Victoria Y Ding3, Dessi P Zaharieva1, Ananta Addala1, Ramesh Johari2,4, David Scheinker1,2,4,5, Manisha Desai3, Korey Hood1,2, David M Maahs1,2,6.   

Abstract

CONTEXT: Youth with type 1 diabetes (T1D) do not meet glycated hemoglobin A1c (HbA1c) targets.
OBJECTIVE: This work aimed to assess HbA1c outcomes in children with new-onset T1D enrolled in the Teamwork, Targets, Technology and Tight Control (4T) Study.
METHODS: HbA1c levels were compared between the 4T and historical cohorts. HbA1c differences between cohorts were estimated using locally estimated scatter plot smoothing (LOESS). The change from nadir HbA1c (month 4) to 12 months post diagnosis was estimated by cohort using a piecewise mixed-effects regression model accounting for age at diagnosis, sex, ethnicity, and insurance type. We recruited 135 youth with newly diagnosed T1D at Stanford Children's Health. Starting July 2018, all youth within the first month of T1D diagnosis were offered continuous glucose monitoring (CGM) initiation and remote CGM data review was added in March 2019. The main outcomes measure was HbA1c.
RESULTS: HbA1c at 6, 9, and 12 months post diagnosis was lower in the 4T cohort than in the historic cohort (-0.54% to -0.52%, and -0.58%, respectively). Within the 4T cohort, HbA1c at 6, 9, and 12 months post diagnosis was lower in those patients with remote monitoring than those without (-0.14%, -0.18% to -0.14%, respectively). Multivariable regression analysis showed that the 4T cohort experienced a significantly lower increase in HbA1c between months 4 and 12 (P < .001).
CONCLUSION: A technology-enabled, team-based approach to intensified new-onset education involving target setting, CGM initiation, and remote data review statistically significantly decreased HbA1c in youth with T1D 12 months post diagnosis.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  continuous glucose monitoring; diabetes technology; glycemic control; new diagnosis; pediatrics; type 1 diabetes

Mesh:

Substances:

Year:  2022        PMID: 34850024      PMCID: PMC8947228          DOI: 10.1210/clinem/dgab859

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  44 in total

1.  Racial and Socioeconomic Disparities in Pediatric Type 1 Diabetes: Time for a Paradigm Shift in Approach.

Authors:  Terri H Lipman; Colin P Hawkes
Journal:  Diabetes Care       Date:  2021-01       Impact factor: 19.112

2.  Hemoglobin A1c Trajectory in Pediatric Patients with Newly Diagnosed Type 1 Diabetes.

Authors:  Priya Prahalad; Jaden Yang; David Scheinker; Manisha Desai; Korey Hood; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2019-06-10       Impact factor: 6.118

3.  CGM Initiation Soon After Type 1 Diabetes Diagnosis Results in Sustained CGM Use and Wear Time.

Authors:  Priya Prahalad; Ananta Addala; David Scheinker; Korey K Hood; David M Maahs
Journal:  Diabetes Care       Date:  2019-09-26       Impact factor: 19.112

Review 4.  12. Children and Adolescents: Standards of Medical Care in Diabetes-2018.

Authors: 
Journal:  Diabetes Care       Date:  2018-01       Impact factor: 19.112

5.  Childhood diabetes in the Nordic countries: a comparison of quality registries.

Authors:  Lena Hanberger; Niels Birkebaek; Ragnar Bjarnason; Ann Kristin Drivvoll; Anders Johansen; Torild Skrivarhaug; Arni V Thorsson; Ulf Samuelsson
Journal:  J Diabetes Sci Technol       Date:  2014-04-17

6.  'I was ready for it at the beginning': Parent experiences with early introduction of continuous glucose monitoring following their child's Type 1 diabetes diagnosis.

Authors:  Molly L Tanenbaum; Dessi P Zaharieva; Ananta Addala; Jessica Ngo; Priya Prahalad; Brianna Leverenz; Christin New; David M Maahs; Korey K Hood
Journal:  Diabet Med       Date:  2021-04-21       Impact factor: 4.359

7.  Attitudes and barriers to exercise in adults with type 1 diabetes (T1DM) and how best to address them: a qualitative study.

Authors:  Nadia Lascar; Amy Kennedy; Beverley Hancock; David Jenkins; Robert C Andrews; Sheila Greenfield; Parth Narendran
Journal:  PLoS One       Date:  2014-09-19       Impact factor: 3.240

8.  Automated integration of continuous glucose monitor data in the electronic health record using consumer technology.

Authors:  Rajiv B Kumar; Nira D Goren; David E Stark; Dennis P Wall; Christopher A Longhurst
Journal:  J Am Med Inform Assoc       Date:  2016-03-27       Impact factor: 4.497

9.  The SWEET Project 10-Year Benchmarking in 19 Countries Worldwide Is Associated with Improved HbA1c and Increased Use of Diabetes Technology in Youth with Type 1 Diabetes.

Authors:  Peter Gerhardsson; Anke Schwandt; Michael Witsch; Olga Kordonouri; Jannet Svensson; Gun Forsander; Tadej Battelino; Henk Veeze; Thomas Danne
Journal:  Diabetes Technol Ther       Date:  2021-02-26       Impact factor: 6.118

10.  Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring.

Authors:  Richard M Bergenstal; Roy W Beck; Kelly L Close; George Grunberger; David B Sacks; Aaron Kowalski; Adam S Brown; Lutz Heinemann; Grazia Aleppo; Donna B Ryan; Tonya D Riddlesworth; William T Cefalu
Journal:  Diabetes Care       Date:  2018-09-17       Impact factor: 19.112

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  4 in total

1.  Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Type 1 Diabetes: the Pilot 4T Study.

Authors:  Priya Prahalad; Victoria Y Ding; Dessi P Zaharieva; Ananta Addala; Ramesh Johari; David Scheinker; Manisha Desai; Korey Hood; David M Maahs
Journal:  J Clin Endocrinol Metab       Date:  2022-03-24       Impact factor: 5.958

Review 2.  Advancements and future directions in the teamwork, targets, technology, and tight control-the 4T study: improving clinical outcomes in newly diagnosed pediatric type 1 diabetes.

Authors:  Dessi P Zaharieva; Franziska K Bishop; David M Maahs
Journal:  Curr Opin Pediatr       Date:  2022-08-01       Impact factor: 2.893

3.  '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 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

  4 in total

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