Literature DB >> 17924142

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.

E-M Gerstl1, W Rabl, J Rosenbauer, H Gröbe, S E Hofer, U Krause, R W Holl.   

Abstract

INTRODUCTION: While the central role of HbA1c levels for the prediction of micro- and macrovascular complications in patients with type 1 diabetes is generally accepted; recommendations in current guidelines and the level of metabolic control actually achieved during routine care differ widely. Limited information is available on factors that influence metabolic control in the pediatric age group and during the transition from pediatric to adult diabetes care. In a large prospective multicenter database (DPV-Wiss), 338,330 individual HbA1c measurements from 27,035 patients with type-1 diabetes (94,074 observation years) were recorded between 1995 and 2005. Data were anonymously transmitted from 207 institutions. HbA1c values were mathematically standardized to the DCCT normal range (4.05-6.05%). The SAS 9.1 software was used for statistical analysis using nonparametric statistics. Median HbA1c for all measurements was 7.8%, with a strong effect of diabetes duration: median HbA1c at onset was 9.1%, during the first 2 years of diabetes 7.1% with a subsequent increase to 7.9% in patients beyond the remission phase (>2 years, 20,314 patients); a strong age dependency was present. HbA1c above the recommended guidelines was found in 23%. For all age groups, girls/women had higher HbA1c values compared to boys (mean difference 0.1%, p<0.0001). Seasonal variation was remarkably small with the lowest HbA1c values in September (mean: 7.86%) and highest values in January (8.08%; p<0.0001). Some improvement in HbA1c was observed comparing three periods: 1995-1997, 1998-2000 and 2001-2005; after remission the median HbA1c decreases from 8.5% to 7.6%. In a multivariate model, a significant influence on HbA1c was detected for age (p<0001), duration of diabetes (p<0.0001), gender (p<0.02), minority status (p<0.0001), season (p<0.0001), treatment period (p<0.0001), insulin therapy (p<0.0001) and center effect (p<0.0001).
CONCLUSIONS: Both patient-related and treatment-related variables have a strong influence on metabolic control achieved in pediatric and young adult patients with T1DM. In contrast to wide-spread belief, metabolic control is only marginally better in summer compared to winter. Some improvement in metabolic control was observed during the last 10 years.

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Year:  2007        PMID: 17924142     DOI: 10.1007/s00431-007-0586-9

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


  21 in total

1.  Incidence of childhood Type I diabetes mellitus is increasing at all ages in Germany.

Authors:  J Rosenbauer; A Icks; D Schmitter; G Giani
Journal:  Diabetologia       Date:  2002-03       Impact factor: 10.122

2.  Predictors of glucose control in children and adolescents with type 1 diabetes mellitus.

Authors:  Stacey L Urbach; Stephen LaFranchi; Lori Lambert; Jodi A Lapidus; Denis Daneman; Thomas M Becker
Journal:  Pediatr Diabetes       Date:  2005-06       Impact factor: 4.866

3.  Glycaemic control and severe hypoglycaemia following training in flexible, intensive insulin therapy to enable dietary freedom in people with type 1 diabetes: a prospective implementation study.

Authors:  A Sämann; I Mühlhauser; R Bender; Ch Kloos; U A Müller
Journal:  Diabetologia       Date:  2005-08-18       Impact factor: 10.122

4.  Insulin management and metabolic control of type 1 diabetes mellitus in childhood and adolescence in 18 countries. Hvidøre Study Group on Childhood Diabetes.

Authors:  H B Mortensen; K J Robertson; H J Aanstoot; T Danne; R W Holl; P Hougaard; J A Atchison; F Chiarelli; D Daneman; B Dinesen; H Dorchy; P Garandeau; S Greene; H Hoey; E A Kaprio; M Kocova; P Martul; N Matsuura; E J Schoenle; O Søvik; P G Swift; R M Tsou; M Vanelli; J Aman
Journal:  Diabet Med       Date:  1998-09       Impact factor: 4.359

5.  Predictors of glycemic control and short-term adverse outcomes in youth with type 1 diabetes.

Authors:  B S Levine; B J Anderson; D A Butler; J E Antisdel; J Brackett; L M Laffel
Journal:  J Pediatr       Date:  2001-08       Impact factor: 4.406

6.  Consequences of irregular versus continuous medical follow-up in children and adolescents with insulin-dependent diabetes mellitus.

Authors:  A M Jacobson; S T Hauser; J Willett; J I Wolfsdorf; L Herman
Journal:  J Pediatr       Date:  1997-11       Impact factor: 4.406

7.  Pubertal adolescent male-female differences in insulin sensitivity and glucose effectiveness determined by the one compartment minimal model.

Authors:  R P Hoffman; P Vicini; W I Sivitz; C Cobelli
Journal:  Pediatr Res       Date:  2000-09       Impact factor: 3.756

8.  Glycated hemoglobin and related factors in diabetic children and adolescents under 18 years of age: a Belgian experience.

Authors:  H Dorchy; M P Roggemans; D Willems
Journal:  Diabetes Care       Date:  1997-01       Impact factor: 19.112

9.  A nation-wide cross-sectional study of glycosylated haemoglobin in Danish children with type 1 diabetes.

Authors:  H B Mortensen; S G Hartling; K E Petersen
Journal:  Diabet Med       Date:  1988-12       Impact factor: 4.359

10.  Predictors of glycaemic control and hypoglycaemia in children and adolescents with type 1 diabetes from NSW and the ACT.

Authors:  Maria E Craig; Penny Handelsman; Kim C Donaghue; Albert Chan; Barbara Blades; Rosetta Laina; Darna Bradford; Angela Middlehurst; Geoffrey Ambler; Charles F Verge; Patricia Crock; Patrick Moore; Martin Silink
Journal:  Med J Aust       Date:  2002-09-02       Impact factor: 7.738

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  68 in total

1.  Glycemic control in Iranian children with type 1 diabetes mellitus: effect of gender.

Authors:  Aria Setoodeh; Fereydoun Mostafavi; Tina Hedayat
Journal:  Indian J Pediatr       Date:  2011-12-03       Impact factor: 1.967

Review 2.  Does familial clustering of risk factors for long-term diabetic complications leave any place for genes that act independently?

Authors:  Andrew D Paterson; Shelley B Bull
Journal:  J Cardiovasc Transl Res       Date:  2012-06-23       Impact factor: 4.132

3.  Exploring Variation in Glycemic Control Across and Within Eight High-Income Countries: A Cross-sectional Analysis of 64,666 Children and Adolescents With Type 1 Diabetes.

Authors:  Dimitrios Charalampopoulos; Julia M Hermann; Jannet Svensson; Torild Skrivarhaug; David M Maahs; Karin Akesson; Justin T Warner; Reinhard W Holl; Niels H Birkebæk; Ann K Drivvoll; Kellee M Miller; Ann-Marie Svensson; Terence Stephenson; Sabine E Hofer; Siri Fredheim; Siv J Kummernes; Nicole Foster; Lena Hanberger; Rakesh Amin; Birgit Rami-Merhar; Anders Johansen; Knut Dahl-Jørgensen; Mark Clements; Ragnar Hanas
Journal:  Diabetes Care       Date:  2018-04-12       Impact factor: 19.112

4.  Delay discounting and parental monitoring in adolescents with poorly controlled type 1 diabetes.

Authors:  Amy Hughes Lansing; Catherine Stanger; Rebecca Crochiere; Ann Carracher; Alan Budney
Journal:  J Behav Med       Date:  2017-05-12

5.  Severe hypoglycemia rates are not associated with HbA1c: a cross-sectional analysis of 3 contemporary pediatric diabetes registry databases.

Authors:  Aveni Haynes; Julia M Hermann; Kellee M Miller; Sabine E Hofer; Timothy W Jones; Roy W Beck; David M Maahs; Elizabeth A Davis; Reinhard W Holl
Journal:  Pediatr Diabetes       Date:  2016-11-23       Impact factor: 4.866

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

Authors:  Meredith S Campbell; 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
Journal:  Pediatr Diabetes       Date:  2013-08-19       Impact factor: 4.866

7.  Persistently high glucose levels in young children with type 1 diabetes.

Authors:  M Tansey; R Beck; K Ruedy; W Tamborlane; P Cheng; C Kollman; L Fox; S Weinzimer; N Mauras; N H White; E Tsalikian
Journal:  Pediatr Diabetes       Date:  2014-12-11       Impact factor: 4.866

8.  Internet-based incentives increase blood glucose testing with a non-adherent, diverse sample of teens with type 1 diabetes mellitus: a randomized controlled Trial.

Authors:  Bethany R Raiff; Victoria B Barrry; Ty A Ridenour; Natinee Jitnarin
Journal:  Transl Behav Med       Date:  2016-06       Impact factor: 3.046

9.  Sex-specific differences in long-term glycemic control and cardiometabolic parameters in patients with type 1 diabetes treated at a tertiary care centre: gender aspects in type 1 diabetes.

Authors:  Christian S Göbl; Latife Bozkurt; Johannes Lueck; Mona El-Samahi; Peter Grösser; Martin Clodi; Anton Luger; Alexandra Kautzky-Willer
Journal:  Wien Klin Wochenschr       Date:  2012-10-16       Impact factor: 1.704

10.  A genome-wide association study identifies a novel major locus for glycemic control in type 1 diabetes, as measured by both A1C and glucose.

Authors:  Andrew D Paterson; Daryl Waggott; Andrew P Boright; S Mohsen Hosseini; Enqing Shen; Marie-Pierre Sylvestre; Isidro Wong; Bhupinder Bharaj; Patricia A Cleary; John M Lachin; Jennifer E Below; Dan Nicolae; Nancy J Cox; Angelo J Canty; Lei Sun; Shelley B Bull
Journal:  Diabetes       Date:  2009-10-29       Impact factor: 9.461

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