Literature DB >> 23957219

A contrast between children and adolescents with excellent and poor control: the T1D Exchange clinic registry experience.

Meredith S Campbell1, Desmond A Schatz, Vincent Chen, Jenise C Wong, Andrea Steck, William V Tamborlane, Jennifer Smith, Roy W Beck, Eda Cengiz, Lori M Laffel, Kellee M Miller, Michael J Haller.   

Abstract

OBJECTIVES: Optimizing glycemic control in pediatric type 1 diabetes (T1D) is essential to minimizing long-term risk of complications. We used the T1D Exchange database from 58 US diabetes clinics to identify differences in diabetes management characteristics among children categorized as having excellent vs. poor glycemic control.
METHODS: Among registry participants 6-17 yr old with diabetes duration ≥ 2 yr, those with excellent control [(A1c <7%)(53 mmol/mol) (N = 588)] were compared with those with poor control [(A1c ≥ 9% )(75 mmol/mol) (N = 2684)] using logistic regression.
RESULTS: The excellent and poor control groups differed substantially in diabetes management (p < 0.001 for all) with more of the excellent control group using insulin pumps, performing blood glucose monitoring ≥ 5 ×/d, missing fewer boluses, bolusing before meals rather than at the time of or after a meal, using meal-specific insulin:carbohydrate ratios, checking their blood glucose prior to giving meal time insulin, giving insulin for daytime snacks, giving more bolus insulin, and using a lower mean total daily insulin dose than those in poor control. After adjusting for demographic and socioeconomic factors, diabetes management characteristics were still strongly associated with good vs. poor control. Notably, frequency of severe hypoglycemia was similar between the groups while DKA was more common in the poorly controlled group.
CONCLUSIONS: Children with excellent glycemic control tend to exhibit markedly different diabetes self-management techniques than those with poor control. This knowledge may further inform diabetes care providers and patients about specific characteristics and behaviors that can be augmented to potentially improve glycemic control.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  blood glucose self-monitoring; diabetes mellitus; insulin; pediatric; type 1 diabetes mellitus

Mesh:

Substances:

Year:  2013        PMID: 23957219      PMCID: PMC4164957          DOI: 10.1111/pedi.12067

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  10 in total

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3.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

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4.  ISPAD Clinical Practice Consensus Guidelines 2006-2007. Microvascular and macrovascular complications.

Authors:  Kim C Donaghue; Francesco Chiarelli; Daniela Trotta; Jeremy Allgrove; Knut Dahl-Jorgensen
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5.  In pursuit of lower A1c.

Authors:  Michael J Haller; Janet H Silverstein
Journal:  J Pediatr       Date:  2009-08       Impact factor: 4.406

6.  Prediction of adolescents' glycemic control 1 year after diabetes-specific family conflict: the mediating role of blood glucose monitoring adherence.

Authors:  Marisa E Hilliard; Shanna M Guilfoyle; Lawrence M Dolan; Korey K Hood
Journal:  Arch Pediatr Adolesc Med       Date:  2011-07

7.  Depressive symptoms predict change in glycemic control in adolescents with type 1 diabetes: rates, magnitude, and moderators of change.

Authors:  Korey K Hood; Joseph R Rausch; Lawrence M Dolan
Journal:  Pediatr Diabetes       Date:  2011-05-12       Impact factor: 4.866

8.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

9.  Metabolic control as reflected by HbA1c in children, adolescents and young adults with type-1 diabetes mellitus: combined longitudinal analysis including 27,035 patients from 207 centers in Germany and Austria during the last decade.

Authors:  E-M Gerstl; W Rabl; J Rosenbauer; H Gröbe; S E Hofer; U Krause; R W Holl
Journal:  Eur J Pediatr       Date:  2007-10-09       Impact factor: 3.183

10.  Factors predictive of severe hypoglycemia in type 1 diabetes: analysis from the Juvenile Diabetes Research Foundation continuous glucose monitoring randomized control trial dataset.

Authors:  Rosanna Fiallo-Scharer; Jing Cheng; Roy W Beck; Bruce A Buckingham; H Peter Chase; Craig Kollman; Lori Laffel; Jean M Lawrence; Nelly Mauras; William V Tamborlane; Darrell M Wilson; Howard Wolpert
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  10 in total
  28 in total

1.  General Life and Diabetes-Related Stressors in Early Adolescents With Type 1 Diabetes.

Authors:  Ariana M Chao; Karl E Minges; Chorong Park; Susan Dumser; Kathryn M Murphy; Margaret Grey; Robin Whittemore
Journal:  J Pediatr Health Care       Date:  2015-07-30       Impact factor: 1.812

2.  State of Type 1 Diabetes Care in the United States in 2016-2018 from T1D Exchange Registry Data.

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3.  A multivariate model exploring the predictive value of demographic, adolescent, and family factors on glycemic control in adolescents with type 1 diabetes.

Authors:  Shivani Agarwal; Abbas F Jawad; Victoria A Miller
Journal:  Pediatr Diabetes       Date:  2015-10-21       Impact factor: 4.866

4.  Frequency of Missed Insulin Boluses in Type 1 Diabetes and Its Impact on Diabetes Control.

Authors:  Sarah S Jaser; Karishma A Datye
Journal:  Diabetes Technol Ther       Date:  2016-05-20       Impact factor: 6.118

5.  Insulin pump risks and benefits: a clinical appraisal of pump safety standards, adverse event reporting and research needs. A joint statement of the European Association for the Study of Diabetes and the American Diabetes Association Diabetes Technology Working Group.

Authors:  Lutz Heinemann; G Alexander Fleming; John R Petrie; Reinhard W Holl; Richard M Bergenstal; Anne L Peters
Journal:  Diabetologia       Date:  2015-03-18       Impact factor: 10.122

6.  A Web-Delivered Multicomponent Intervention for Adolescents with Poorly Controlled Type 1 Diabetes: A Pilot Randomized Controlled Trial.

Authors:  Catherine Stanger; Amy Hughes Lansing; Emily Scherer; Alan Budney; Ann S Christiano; Samuel J Casella
Journal:  Ann Behav Med       Date:  2018-11-12

Review 7.  Adherence to glycemic monitoring in diabetes.

Authors:  Susana R Patton
Journal:  J Diabetes Sci Technol       Date:  2015-01-14

Review 8.  Big Data Technologies: New Opportunities for Diabetes Management.

Authors:  Riccardo Bellazzi; Arianna Dagliati; Lucia Sacchi; Daniele Segagni
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9.  Contrasting the clinical care and outcomes of 2,622 children with type 1 diabetes less than 6 years of age in the United States T1D Exchange and German/Austrian DPV registries.

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10.  Timing of Meal Insulin and Its Relation to Adherence to Therapy in Type 1 Diabetes.

Authors:  Karishma A Datye; Claire T Boyle; Jill Simmons; Daniel J Moore; Sarah S Jaser; Nicole Sheanon; Julie M Kittelsrud; Stephanie E Woerner; Kellee M Miller
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