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Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps

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 characteri...

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Autores principales: Nieto, Teresa, Castillo, Beatriz, Nieto, Jacobo, Redondo, Maria J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Pediatric Endocrinology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260368/
https://www.ncbi.nlm.nih.gov/pubmed/34634866
http://dx.doi.org/10.6065/apem.2142170.085
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author Nieto, Teresa
Castillo, Beatriz
Nieto, Jacobo
Redondo, Maria J.
author_facet Nieto, Teresa
Castillo, Beatriz
Nieto, Jacobo
Redondo, Maria J.
author_sort Nieto, Teresa
collection PubMed
description 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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spelling pubmed-92603682022-07-20 Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps Nieto, Teresa Castillo, Beatriz Nieto, Jacobo Redondo, Maria J. Ann Pediatr Endocrinol Metab Original Article 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. Korean Society of Pediatric Endocrinology 2022-06 2021-10-12 /pmc/articles/PMC9260368/ /pubmed/34634866 http://dx.doi.org/10.6065/apem.2142170.085 Text en © 2022 Annals of Pediatric Endocrinology & Metabolism https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Nieto, Teresa
Castillo, Beatriz
Nieto, Jacobo
Redondo, Maria J.
Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
title Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
title_full Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
title_fullStr Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
title_full_unstemmed Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
title_short Demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
title_sort demographic and diagnostic markers in new onset pediatric type 1 and type 2 diabetes: differences and overlaps
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260368/
https://www.ncbi.nlm.nih.gov/pubmed/34634866
http://dx.doi.org/10.6065/apem.2142170.085
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