Improved metabolic control in children and adolescents with type 1 diabetes: a trend analysis using prospective multicenter data from Germany and Austria

Joachim Rosenbauer, Axel Dost, Beate Karges, Andreas Hungele, Anna Stahl, Christina Bächle, Eva Maria Gerstl, Christian Kastendieck, Sabine E Hofer, Reinhard W Holl, DPV Initiative and the German BMBF Competence Network Diabetes Mellitus, Joachim Rosenbauer, Axel Dost, Beate Karges, Andreas Hungele, Anna Stahl, Christina Bächle, Eva Maria Gerstl, Christian Kastendieck, Sabine E Hofer, Reinhard W Holl, DPV Initiative and the German BMBF Competence Network Diabetes Mellitus

Abstract

Objective: To investigate the temporal trend of metabolic control and potential predictors in German and Austrian children and adolescents with type 1 diabetes.

Research design and methods: This study is based on a large, multicenter database for prospective longitudinal documentation of diabetes care in Germany and Austria. Data from 30,708 patients documented in 305 diabetes centers between 1995 and 2009 were analyzed. Generalized linear mixed regression models were used to adjust trend analysis for relevant confounders.

Results: Unadjusted mean HbA(1c) decreased from 8.7 ± 1.8% in 1995 to 8.1 ± 1.5% in 2009. In multiple regression analysis, treatment year, age, sex, diabetes duration, migration background, BMI-SDS, and daily insulin dose were significant predictors of metabolic control (P < 0.001). After multiple adjustment, mean HbA(1c) decreased significantly by 0.038% per year (95% CI 0.032-0.043%), average odds ratio (OR) per year for HbA(1c) >7.5% (>9.0%) was 0.969 (95% CI 0.961-0.977) (0.948, 95% CI 0.941-0.956). Intensified insulin regimen was associated with lower frequency of poor metabolic control (HbA(1c) >9%; P = 0.005) but not with average HbA(1c) (P = 0.797). Rate of severe hypoglycemia and hypoglycemic coma decreased significantly (relative risk [RR] per year 0.948, 95% CI 0.918-0.979; RR 0.917, 95% CI 0.885-0.950) over the study period. Diabetic ketoacidosis rate showed no significant variation over time.

Conclusions: This study showed a significant improvement in metabolic control in children and adolescents with type 1 diabetes during the past decade and a simultaneous decrease in hypoglycemic events. The improvement was not completely explained by changes in the mode of insulin treatment. Other factors such as improved patient education may have accounted for the observed trend.

Figures

Figure 1
Figure 1
Time trends of metabolic control and acute diabetes complications. Multiple adjusted estimates of mean HbA1c (A), proportion of patients with HbA1c >7.5% (B) or HbA1c >9.0% (C), and rates of severe hypoglycemia (D), hypoglycemic coma (E), and DKA (F) by year of treatment. Estimates are derived from multiple (generalized) linear mixed models including year of treatment, age at follow-up, sex, diabetes duration, migration background, BMI-SDS, mode of therapy (CT, MDI, or CSII), insulin dose per kg body weight and day, and size and type of diabetes center as fixed independent variables and diabetes center as random independent variable. Analyses for metabolic control and DKA are based on 30,021 patients because of missing values for BMI-SDS and/or daily insulin dose (n = 687), and analyses for hypoglycemic events are based on 27,586 patients because of missing values for hypoglycemic events (n = 2,748) and BMI-SDS and/or insulin dose (n = 374). Time trends in dependent variables (represented by solid lines) and estimates of average changes per year (absolute decrease, OR, and RR) were derived from multiple (generalized) linear mixed models by including a linear trend term for calendar year. Vertical whiskers represent 95% CIs.

References

    1. The Diabetes Control and Complications Trial Research Group The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 1993;329:977–986
    1. The Diabetes Control and Complications Trial Research Group Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus: Diabetes Control and Complications Trial. J Pediatr 1994;125:177–188
    1. White NH, Sun W, Cleary PA, et al. ; DCCT-EDIC Research Group Effect of prior intensive therapy in type 1 diabetes on 10-year progression of retinopathy in the DCCT/EDIC: comparison of adults and adolescents. Diabetes 2010;59:1244–1253
    1. Bulsara MK, Holman CD, Davis EA, Jones TW. The impact of a decade of changing treatment on rates of severe hypoglycemia in a population-based cohort of children with type 1 diabetes. Diabetes Care 2004;27:2293–2298
    1. Svoren BM, Volkening LK, Butler DA, Moreland EC, Anderson BJ, Laffel LM. Temporal trends in the treatment of pediatric type 1 diabetes and impact on acute outcomes. J Pediatr 2007;150:279–285
    1. Mortensen HB, Hougaard P; The Hvidøre Study Group on Childhood Diabetes Comparison of metabolic control in a cross-sectional study of 2,873 children and adolescents with IDDM from 18 countries. Diabetes Care 1997;20:714–720
    1. Danne T, Mortensen HB, Hougaard P, et al. ; Hvidøre Study Group on Childhood Diabetes Persistent differences among centers over 3 years in glycemic control and hypoglycemia in a study of 3,805 children and adolescents with type 1 diabetes from the Hvidøre Study Group. Diabetes Care 2001;24:1342–1347
    1. de Beaufort CE, Swift PG, Skinner CT, et al. ; Hvidoere Study Group on Childhood Diabetes 2005 Continuing stability of center differences in pediatric diabetes care: do advances in diabetes treatment improve outcome? The Hvidoere Study Group on Childhood Diabetes. Diabetes Care 2007;30:2245–2250
    1. Wagner VM, Rosenbauer J, Grabert M, Holl RW; German Initiative on Quality Control in Pediatric Diabetology Severe hypoglycemia, metabolic control, and diabetes management in young children with type 1 diabetes using insulin analogues—a follow-up report of a large multicenter database. Eur J Pediatr 2007;167:241–242
    1. Svensson J, Johannesen J, Mortensen HB, Nordly S; Danish Childhood Diabetes Registry Improved metabolic outcome in a Danish diabetic paediatric population aged 0-18 yr: results from a nationwide continuous registration. Pediatr Diabetes 2009;10:461–467
    1. Margeirsdottir HD, Larsen JR, Kummernes SJ, Brunborg C, Dahl-Jørgensen K; Norwegian Study Group for Childhood Diabetes. The establishment of a new national network leads to quality improvement in childhood diabetes: implementation of the ISPAD guidelines. Pediatr Diabetes 2010;11:88–95
    1. Ziegler R, Heidtmann B, Hilgard D, Hofer S, Rosenbauer J, Holl R; DPV-Wiss-Initiative Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes. Pediatr Diabetes 2011;12:11–17
    1. Gerstl EM, Rabl W, Rosenbauer J, et al. 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. Eur J Pediatr 2008;167:447–453
    1. Levine BS, Anderson BJ, Butler DA, Antisdel JE, Brackett J, Laffel LM. Predictors of glycemic control and short-term adverse outcomes in youth with type 1 diabetes. J Pediatr 2001;139:197–203
    1. Rosilio M, Cotton JB, Wieliczko MC, et al. ; French Pediatric Diabetes Group Factors associated with glycemic control. A cross-sectional nationwide study in 2,579 French children with type 1 diabetes. Diabetes Care 1998;21:1146–1153
    1. Craig ME, Handelsman P, Donaghue KC, et al. ; NSW/ACT HbA(1c) Study Group Predictors of glycaemic control and hypoglycaemia in children and adolescents with type 1 diabetes from NSW and the ACT. Med J Aust 2002;177:235–238
    1. Kromeyer-Hauschild K, Wabitsch M, Kunze D, et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschr Kinderheilkd 2001;149:807–818
    1. Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med 1992;11:1305–1319
    1. Rewers M, Pihoker C, Donaghue K, Hanas R, Swift P, Klingensmith GJ. Assessment and monitoring of glycemic control in children and adolescents with diabetes. Pediatr Diabetes 2009;10(Suppl. 12):71–81
    1. Clarke W, Jones T, Rewers A, Dunger D, Klingensmith GJ. Assessment and management of hypoglycemia in children and adolescents with diabetes. Pediatr Diabetes 2009;10(Suppl. 12):134–145
    1. Scottish Study Group for the Care of the Young Diabetic Factors influencing glycemic control in young people with type 1 diabetes in Scotland: a population-based study (DIABAUD2). Diabetes Care 2001;24:239–244
    1. The Hvidoere Study Group on Childhood Diabetes Continuing stability of center differences in pediatric diabetes care: do advances in diabetes treatment improve outcome? The Hvidoere Study Group on Childhood Diabetes. Response to Chalew. Diabetes Care 2008;31:e28
    1. Hanberger L, Samuelsson U, Lindblad B, Ludvigsson J; Swedish Childhood Diabetes Registry SWEDIABKIDS A1C in children and adolescents with diabetes in relation to certain clinical parameters: the Swedish Childhood Diabetes Registry SWEDIABKIDS. Diabetes Care 2008;31:927–929
    1. Petitti DB, Klingensmith GJ, Bell RA, et al. ; SEARCH for Diabetes in Youth Study Group Glycemic control in youth with diabetes: the SEARCH for diabetes in Youth Study. J Pediatr 2009;155:668–672, e1–e3
    1. Cardwell CR, Patterson CC, Allen M, Carson DJ; Northern Ireland Paediatric Diabetes Study Group Diabetes care provision and glycaemic control in Northern Ireland: a UK regional audit. Arch Dis Child 2005;90:468–473

Source: PubMed

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