Literature DB >> 20516654

Incidence of childhood diabetes in children aged less than 15 years and its clinical and metabolic characteristics at the time of diagnosis: data from the Childhood Diabetes Registry of Saxony, Germany.

Angela Galler1, Thoralf Stange, Gabriele Müller, Andrea Näke, Christian Vogel, Thomas Kapellen, Heike Bartelt, Hildebrand Kunath, Rainer Koch, Wieland Kiess, Ulrike Rothe.   

Abstract

AIMS: The Childhood Diabetes Registry in Saxony, Germany, examined the incidence and metabolic characteristics of childhood diabetes.
METHODS: In the federal state of Saxony, newly diagnosed cases of diabetes in children and adolescents aged less than 15 years were registered continuously from 1999 until 2008. Family history, date of diagnosis, clinical and laboratory parameters were obtained. Reported cases were ascertained by public health departments as an independent data source and verified using the capture- recapture method.
RESULTS: A total of 865 children and adolescents with newly diagnosed diabetes were registered in Saxony. About 96% of them were classified as having type 1 diabetes, 0.6% had type 2 diabetes, 2.4% had maturity-onset diabetes of the young (MODY), and 1.4% had other types of diabetes. The age-standardized incidence rate of type 1 diabetes was estimated at 17.5 per 100,000 children per year. Completeness of ascertainment as calculated by the capture-recapture method amounted to 93.6%. At the time of diagnosis, 27.1% of children with type 1 diabetes had ketoacidosis, 1.5% had a blood pH <7.0, and 1.1% were unconscious.
CONCLUSION: The registry provided data about the incidence rates and clinical presentation of childhood diabetes in a defined German population. We observed higher incidence rates compared to previous surveys.
Copyright © 2010 S. Karger AG, Basel.

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Year:  2010        PMID: 20516654     DOI: 10.1159/000303141

Source DB:  PubMed          Journal:  Horm Res Paediatr        ISSN: 1663-2818            Impact factor:   2.852


  16 in total

1.  German new onset diabetes in the young incident cohort study: DiMelli study design and first-year results.

Authors:  Leonore Thümer; Kerstin Adler; Ezio Bonifacio; Frank Hofmann; Manfred Keller; Christine Milz; Axel Munte; Anette-Gabriele Ziegler
Journal:  Rev Diabet Stud       Date:  2010-11-10

Review 2.  Meta-analysis of HNF1A-MODY3 variants among human population.

Authors:  Rachna Behl; Nishtha Malhotra; Vinay Joshi; Shruti Poojary; Sanniya Middha; Shalini Gupta; Arinola B Olaonipekun; Ikechukwu Okoye; Bhushan Wagh; Dibyendu Biswas; Chukwuemelie Aginah; Bhavya Saini; Chinaza Nwanya; Sopuluchukwu Ugwu; Modupe M Anthony; Xuanyu S Fang; Ogunfile Foluso; Abdulrahman Tudu Ibrahim
Journal:  J Diabetes Metab Disord       Date:  2022-02-02

3.  Prevalence, characteristics and clinical diagnosis of maturity onset diabetes of the young due to mutations in HNF1A, HNF4A, and glucokinase: results from the SEARCH for Diabetes in Youth.

Authors:  Catherine Pihoker; Lisa K Gilliam; Sian Ellard; Dana Dabelea; Cralen Davis; Lawrence M Dolan; Carla J Greenbaum; Giuseppina Imperatore; Jean M Lawrence; Santica M Marcovina; Elizabeth Mayer-Davis; Beatriz L Rodriguez; Andrea K Steck; Desmond E Williams; Andrew T Hattersley
Journal:  J Clin Endocrinol Metab       Date:  2013-06-14       Impact factor: 5.958

4.  Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes.

Authors:  Maggie Shepherd; Beverley Shields; Suzanne Hammersley; Michelle Hudson; Timothy J McDonald; Kevin Colclough; Richard A Oram; Bridget Knight; Christopher Hyde; Julian Cox; Katherine Mallam; Christopher Moudiotis; Rebecca Smith; Barbara Fraser; Simon Robertson; Stephen Greene; Sian Ellard; Ewan R Pearson; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2016-06-06       Impact factor: 19.112

5.  The development and validation of a clinical prediction model to determine the probability of MODY in patients with young-onset diabetes.

Authors:  B M Shields; T J McDonald; S Ellard; M J Campbell; C Hyde; A T Hattersley
Journal:  Diabetologia       Date:  2012-01-05       Impact factor: 10.122

6.  Hypoglycemia in non-diabetic in-patients: clinical or criminal?

Authors:  Krishnarajah Nirantharakumar; Tom Marshall; James Hodson; Parth Narendran; Jon Deeks; Jamie J Coleman; Robin E Ferner
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

7.  Trends in Incidence Rates during 1999-2008 and Prevalence in 2008 of Childhood Type 1 Diabetes Mellitus in Germany--Model-Based National Estimates.

Authors:  Alexander Bendas; Ulrike Rothe; Wieland Kiess; Thomas Michael Kapellen; Thoralf Stange; Ulf Manuwald; Eckhard Salzsieder; Reinhard Walter Holl; Olaf Schoffer; Anna Stahl-Pehe; Guido Giani; Stefan Ehehalt; Andreas Neu; Joachim Rosenbauer
Journal:  PLoS One       Date:  2015-07-16       Impact factor: 3.240

8.  Does diabetes appear in distinct phenotypes in young people? Results of the diabetes mellitus incidence Cohort Registry (DiMelli).

Authors:  Katharina Warncke; Miriam Krasmann; Ramona Puff; Desirée Dunstheimer; Anette-Gabriele Ziegler; Andreas Beyerlein
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

9.  High Frequency of Diabetic Ketoacidosis in Children with Newly Diagnosed Type 1 Diabetes.

Authors:  Agnieszka Szypowska; Anna Ramotowska; Monika Grzechnik-Gryziak; Wojciech Szypowski; Anna Pasierb; Katarzyna Piechowiak
Journal:  J Diabetes Res       Date:  2015-12-13       Impact factor: 4.011

10.  Incidence trends of type 1 diabetes before and after the reunification in children up to 14 years of age in Saxony, Eastern Germany.

Authors:  Ulf Manuwald; Peter Heinke; Eckhard Salzsieder; Janice Hegewald; Olaf Schoffer; Joachim Kugler; Thomas M Kapellen; Wieland Kiess; Ulrike Rothe
Journal:  PLoS One       Date:  2017-09-07       Impact factor: 3.240

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