AIM: To report C-peptide results in newly diagnosed patients and the relation to clinical diagnosis of diabetes. METHODS: A nation-wide cohort, the Better Diabetes Diagnosis study was used to determine serum C-peptide at diagnosis in 2734 children and adolescents. Clinical data were collected at diagnosis and follow-up. C-peptide was determined in a validated and controlled time-resolved fluoroimmunoassay. RESULTS: The clinical classification of diabetes, before any information on human leukocyte antigen, islet autoantibodies, or C-peptide was received, was type 1 diabetes (T1D) in 93%, type 2 diabetes (T2D) in 1.9%, maturity onset diabetes of the young (MODY) in 0.8%, secondary diabetes (0.6%), while 3.3% could not be classified. In a random, non-fasting serum sample at diagnosis, 56% of the patients had a C-peptide value >0.2 nmol/L. Children classified as T2D had the highest mean C-peptide (1.83 + 1.23 nmol/L) followed by MODY (1.04 ± 0.71 nmol/L) and T1D (0.28 ± 0.25 nmol/L). Only 1/1037 children who had C-peptide <0.2 nmol/L at diagnosis was classified with a type of diabetes other than T1D. Predictive value of C-peptide >1.0 nmol/L for the classification of either T2D or MODY was 0.46 [confidence interval 0.37-0.58]. CONCLUSIONS: More than half of children with newly diagnosed diabetes have clinically important residual beta-cell function. As the clinical diagnosis is not always straightforward, a random C-peptide taken at diagnosis may help to classify diabetes. There is an obvious use for C-peptide determinations to evaluate beta-cell function in children with diabetes.
AIM: To report C-peptide results in newly diagnosed patients and the relation to clinical diagnosis of diabetes. METHODS: A nation-wide cohort, the Better Diabetes Diagnosis study was used to determine serum C-peptide at diagnosis in 2734 children and adolescents. Clinical data were collected at diagnosis and follow-up. C-peptide was determined in a validated and controlled time-resolved fluoroimmunoassay. RESULTS: The clinical classification of diabetes, before any information on human leukocyte antigen, islet autoantibodies, or C-peptide was received, was type 1 diabetes (T1D) in 93%, type 2 diabetes (T2D) in 1.9%, maturity onset diabetes of the young (MODY) in 0.8%, secondary diabetes (0.6%), while 3.3% could not be classified. In a random, non-fasting serum sample at diagnosis, 56% of the patients had a C-peptide value >0.2 nmol/L. Children classified as T2D had the highest mean C-peptide (1.83 + 1.23 nmol/L) followed by MODY (1.04 ± 0.71 nmol/L) and T1D (0.28 ± 0.25 nmol/L). Only 1/1037 children who had C-peptide <0.2 nmol/L at diagnosis was classified with a type of diabetes other than T1D. Predictive value of C-peptide >1.0 nmol/L for the classification of either T2D or MODY was 0.46 [confidence interval 0.37-0.58]. CONCLUSIONS: More than half of children with newly diagnosed diabetes have clinically important residual beta-cell function. As the clinical diagnosis is not always straightforward, a random C-peptide taken at diagnosis may help to classify diabetes. There is an obvious use for C-peptide determinations to evaluate beta-cell function in children with diabetes.
Authors: Shideh Majidi; Alexandra Fouts; Laura Pyle; Christina Chambers; Taylor Armstrong; Zhenyuan Wang; Sat Dev Batish; Georgeanna Klingensmith; Andrea K Steck Journal: Diabetes Technol Ther Date: 2018-02 Impact factor: 6.118
Authors: Tonia C Carter; Dietrich Rein; Inken Padberg; Erik Peter; Ulrike Rennefahrt; Donna E David; Valerie McManus; Elisha Stefanski; Silke Martin; Philipp Schatz; Steven J Schrodi Journal: Metabolism Date: 2016-06-26 Impact factor: 8.694
Authors: N Bansal; C S Hampe; L Rodriguez; E O'Brian Smith; J Kushner; A Balasubramanyam; M J Redondo Journal: Diabet Med Date: 2016-02-12 Impact factor: 4.359
Authors: Kaziwe Mollazadegan; Michael Fored; Sigrid Lundberg; Johnny Ludvigsson; Anders Ekbom; Scott M Montgomery; Jonas F Ludvigsson Journal: Diabetologia Date: 2014-03-25 Impact factor: 10.122
Authors: Norelle R Reilly; Benjamin Lebwohl; Kaziwe Mollazadegan; Karl Michaëlsson; Peter H R Green; Jonas F Ludvigsson Journal: J Pediatr Date: 2015-11-14 Impact factor: 4.406
Authors: Christina Chambers; Alexandra Fouts; Fran Dong; Kevin Colclough; Zhenyuan Wang; Sat Dev Batish; Malgorzata Jaremko; Sian Ellard; Andrew T Hattersley; Georgeanna Klingensmith; Andrea K Steck Journal: Pediatr Diabetes Date: 2015-06-08 Impact factor: 4.866
Authors: U Samuelsson; B Lindblad; A Carlsson; G Forsander; S Ivarsson; I Kockum; Å Lernmark; C Marcus; J Ludvigsson Journal: Diabetes Metab Res Rev Date: 2013-01 Impact factor: 4.876
Authors: Min Jung Cho; Min Sun Kim; Chan Jong Kim; Eun Young Kim; Jong Duk Kim; Eun Young Kim; Dae-Yeol Lee Journal: Ann Pediatr Endocrinol Metab Date: 2014-06-30