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KMID : 1036920220270020121
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Annals of Pediatric Endocrinology & Metabolism
2022 Volume.27 No. 2 p.121 ~ p.125
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Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
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Nieto Teresa
Castillo Beatriz
Nieto Jacobo
Redondo Maria J.
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Abstract
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Purpose: Type 1 diabetes (T1D) is the most common type of diabetes in children, but the frequency of type 2 diabetes (T2D) is increasing rapidly. Classification of diabetes is based on a constellation of features that vary by type. We aimed to compare demographic, clinical, and laboratory characteristics at diagnosis of pediatric T1D and T2D.
Methods: We studied children who visited a large academic hospital in Houston, Texas (USA) with a new diagnosis of T2D (n=753) or T1D (n=758). We compared age, sex, race/ethnicity, presence of obesity, glucose, hemoglobin A1c, islet autoantibody positivity, C-peptide, and presence of diabetic ketoacidosis (DKA) at diabetes diagnosis.
Results: At diagnosis, children with T2D, compared with those with T1D, were older (13.6 years vs. 9.7 years), more likely female (63.2% vs. 47.8%), of racial/ethnic minority (91.1% vs. 42.3%), and obese (90.9% vs. 19.4%) and were less likely to have DKA (7.8% vs. 35.0%) and diabetes autoantibodies (5.5% vs. 95.4%). Children with T2D also had significantly lower glucose, lower hemoglobin A1c and lower C-peptide level (all comparisons, P<0.0001). In multiple logistic regression analysis, older age, racial/ethnic minority, obesity, higher C-peptide, and negative islet autoantibodies were independently associated with T2D (all, P<0.05), while sex, glucose, hemoglobin A1c, and DKA were not (model P<0.0001).
Conclusions: There are important demographic, clinical, and laboratory differences between T1D and T2D in children. However, none of the characteristics were unique to either diabetes type, which poses challenges to diabetes classification at diagnosis.
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KEYWORD
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Type 1 diabetes, Type 2 diabetes, Pediatric, Diagnosis, Overlap, Classification, Autoimmunity, Metabolic, Demographic, Heterogeneity
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