» Articles » PMID: 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

Overview
Journal Eur J Pediatr
Specialty Pediatrics
Date 2007 Oct 10
PMID 17924142
Citations 77
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Long-term tracking of glycosylated hemoglobin levels across the lifespan in type 1 diabetes: from infants to young adults.

Kim S, Kim S, Cho K, Song K, Lee M, Suh J Ann Pediatr Endocrinol Metab. 2024; 29(4):242-249.

PMID: 39231485 PMC: 11374514. DOI: 10.6065/apem.2346180.090.


Consequences of Data Loss on Clinical Decision-Making in Continuous Glucose Monitoring: Retrospective Cohort Study.

den Braber N, Braem C, Vollenbroek-Hutten M, Hermens H, Urgert T, Yavuz U Interact J Med Res. 2024; 13:e50849.

PMID: 39083801 PMC: 11325125. DOI: 10.2196/50849.


Seasonal variation of HbA1c levels in diabetic and non-diabetic patients.

Ahuja S, Sugandha S, Kumar R, Zaheer S, Singh M Pract Lab Med. 2024; 40:e00396.

PMID: 38711868 PMC: 11070616. DOI: 10.1016/j.plabm.2024.e00396.


Risk factors for suboptimal glycemic control in pediatrics with type 1 diabetes mellitus: a cross-sectional study.

Ghazaiean M, Najafi B, Zamanfar D, Alipour M Sci Rep. 2024; 14(1):7492.

PMID: 38553464 PMC: 10980686. DOI: 10.1038/s41598-024-57205-9.


Serum Mg Isotopic Composition Reveals That Mg Dyshomeostasis Remains in Type 1 Diabetes despite the Resolution of Hypomagnesemia.

Sullivan K, Assantuh Y, Grigoryan R, Costas-Rodriguez M, Bolea-Fernandez E, Lapauw B Int J Mol Sci. 2023; 24(21).

PMID: 37958667 PMC: 10647222. DOI: 10.3390/ijms242115683.


References
1.
Grabert M, Schweiggert F, Holl R . A framework for diabetes documentation and quality management in Germany: 10 years of experience with DPV. Comput Methods Programs Biomed. 2002; 69(2):115-21. DOI: 10.1016/s0169-2607(02)00035-4. View

2.
OVERSTREET S, Holmes C, Dunlap W, Frentz J . Sociodemographic risk factors to disease control in children with diabetes. Diabet Med. 1997; 14(2):153-7. DOI: 10.1002/(SICI)1096-9136(199702)14:2<153::AID-DIA318>3.0.CO;2-K. View

3.
Rosilio M, COTTON J, Wieliczko M, Gendrault B, Carel J, Couvaras O . Factors associated with glycemic control. A cross-sectional nationwide study in 2,579 French children with type 1 diabetes. The French Pediatric Diabetes Group. Diabetes Care. 1998; 21(7):1146-53. DOI: 10.2337/diacare.21.7.1146. View

4.
Levine B, Anderson B, Butler D, Antisdel J, Brackett J, Laffel L . Predictors of glycemic control and short-term adverse outcomes in youth with type 1 diabetes. J Pediatr. 2001; 139(2):197-203. DOI: 10.1067/mpd.2001.116283. View

5.
Urbach S, LaFranchi S, Lambert L, Lapidus J, Daneman D, Becker T . Predictors of glucose control in children and adolescents with type 1 diabetes mellitus. Pediatr Diabetes. 2005; 6(2):69-74. DOI: 10.1111/j.1399-543X.2005.00104.x. View