Literature DB >> 31557351

The Transatlantic HbA1c gap: differences in glycaemic control across the lifespan between people included in the US T1D Exchange Registry and those included in the German/Austrian DPV registry.

J M Hermann1,2, K M Miller3, S E Hofer4, M A Clements5, W Karges6, N C Foster3, E Fröhlich-Reiterer7, M R Rickels8, J Rosenbauer2,9, D J DeSalvo10, R W Holl1,2, D M Maahs11,12.   

Abstract

AIM: To compare HbA1c levels across the lifespan in people with type 1 diabetes in the USA with those in Germany/Austria, and to examine potential differences in HbA1c levels between sexes, insulin delivery methods and minority status.
METHODS: Data were extracted from the US T1D Exchange Registry (n=18 381 participants from 73 sites) and from the German/Austrian Prospective Diabetes Follow-up Registry, the DPV (n=32 643 participants from 362 sites). Mean HbA1c was calculated for each year of age for individuals aged ≤25 years, and at 2-year age intervals for individuals aged >25 years. Curves for mean HbA1c by age were estimated using locally weighted scatterplot smoothing. HbA1c differences between registries, sexes, insulin delivery methods, and minority status were assessed by age group using multiple linear regression.
RESULTS: In both registries, mean HbA1c increased by ~11 mmol/mol (1.0%) between the ages of 9 and 18 years, although at quite different absolute levels: from 66 mmol/mol (8.2%) to 77 mmol/mol (9.2%) in the T1D Exchange Registry, and from 56 mmol/mol (7.3%) to 66 mmol/mol (8.2%) in the DPV. Sex differences were observed in the DPV only. In the T1D Exchange Registry, injection users had higher mean HbA1c than pump users across the lifespan, whereas in the DPV higher HbA1c levels in injection users were observed in the age groups 6 to <12 years, 12 to <18 years, and 30 to <50 years (P < 0.001). Minority status was significantly associated with higher HbA1c in most age groups in both registries.
CONCLUSIONS: Significant differences in HbA1c were noted between the USA and Germany/Austria, with disparities more pronounced in early childhood through to young adulthood. Further studies should identify causes for these disparities.
© 2019 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.

Entities:  

Year:  2019        PMID: 31557351     DOI: 10.1111/dme.14148

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  9 in total

1.  Evaluating implementation of Diabetes Self-Management Education in Maryland County, Liberia: protocol for a pilot prospective cohort study.

Authors:  Celina Trujillo; Gina Ferrari; Gedeon Ngoga; Amy McLaughlin; Joe Davies; Anthony Tucker; Cyrus Randolph; Rebecca Cook; Paul H Park; Gene Bukhman; Alma J Adler; Jacquelin Pierre
Journal:  BMJ Open       Date:  2022-10-17       Impact factor: 3.006

2.  Diabetes Technology Use in Remote Pediatric Patients with Type 1 Diabetes Using Clinic-to-Clinic Telemedicine.

Authors:  Erin C Cobry; Tyler Reznick-Lipina; Laura Pyle; Robert Slover; John F Thomas; Guy Todd Alonso; Raj Paul Wadwa
Journal:  Diabetes Technol Ther       Date:  2022-01       Impact factor: 6.118

3.  Size matters: Influence of center size on quality of diabetes control in children and adolescents with type 1 diabetes-A longitudinal analysis of the DPV cohort.

Authors:  Lukas Hackl; Walter Bonfig; Susanne Bechtold-Dalla Pozza; Stefanie Lanzinger; Nicole Treptau; Klemens Raile; Ulf Elpel; Karl-Heinz Ludwig; Gebhard Buchal; Reinhard W Holl
Journal:  Pediatr Diabetes       Date:  2021-11-23       Impact factor: 3.409

4.  Fear of hypoglycemia and quality of life in young people with type 1 diabetes and their parents in the era of sensor glucose monitoring.

Authors:  Vivien Glocker; Sara Bachmann; Melanie Hess; Gabor Szinnai; Marie-Anne Burckhardt
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-28       Impact factor: 6.055

5.  Comparison of MiniMed 780G system performance in users aged younger and older than 15 years: Evidence from 12 870 real-world users.

Authors:  Arcelia Arrieta; Tadej Battelino; Andrea E Scaramuzza; Julien Da Silva; Javier Castañeda; Toni L Cordero; John Shin; Ohad Cohen
Journal:  Diabetes Obes Metab       Date:  2022-05-12       Impact factor: 6.408

6.  Type 1 diabetes in Laos, 2016-2021.

Authors:  Ngee Lek; Amphayvanh Manivong; Khaysy Rassavong; Daoheuang Phommachack; Charles Toomey; Sze May Ng
Journal:  Pediatr Diabetes       Date:  2022-06-06       Impact factor: 3.409

7.  Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study.

Authors:  Guido Di Dalmazi; Giulio Maltoni; Claudio Bongiorno; Lorenzo Tucci; Valeria Di Natale; Simona Moscatiello; Gilberto Laffi; Andrea Pession; Stefano Zucchini; Uberto Pagotto
Journal:  BMJ Open Diabetes Res Care       Date:  2020-10

8.  Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp.

Authors:  Katrin Nagl; Gabriele Berger; Felix Aberer; Haris Ziko; Katharina Weimann; Ina Bozic; Birgit Rami-Merhar; Julia K Mader
Journal:  Pediatr Diabetes       Date:  2020-12-04       Impact factor: 4.866

9.  Benchmarking care outcomes for young adults with type 1 diabetes in Australia after transition to adult care.

Authors:  Phidias Rueter; Kaye Farrell; Helen Phelan; Peter Colman; Maria E Craig; Jenny Gunton; D Jane Holmes-Walker
Journal:  Endocrinol Diabetes Metab       Date:  2021-09-09
  9 in total

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