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Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications
Classifying diabetes at diagnosis is crucial for disease management but increasingly difficult due to overlaps in characteristics between the commonly encountered diabetes types. We evaluated the prevalence and characteristics of youth with diabetes type that was unknown at diagnosis or was revised...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246228/ https://www.ncbi.nlm.nih.gov/pubmed/37293006 http://dx.doi.org/10.21203/rs.3.rs-2958200/v1 |
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author | Tosur, Mustafa Huang, Xiaofan Inglis, Audrey S Aguirre, Rebecca Schneider Redondo, Maria J |
author_facet | Tosur, Mustafa Huang, Xiaofan Inglis, Audrey S Aguirre, Rebecca Schneider Redondo, Maria J |
author_sort | Tosur, Mustafa |
collection | PubMed |
description | Classifying diabetes at diagnosis is crucial for disease management but increasingly difficult due to overlaps in characteristics between the commonly encountered diabetes types. We evaluated the prevalence and characteristics of youth with diabetes type that was unknown at diagnosis or was revised over time. We studied 2073 youth with new-onset diabetes (median age [IQR]=11.4 [6.2] years; 50% male; 75% White, 21% Black, 4% other race; overall, 37% Hispanic) and compared youth with unknown versus known diabetes type, per pediatric endocrinologist diagnosis. In a longitudinal subcohort of patients with data for ≥3 years post-diabetes diagnosis (n=1019), we compared youth with unchanged versus changed diabetes classification. In the entire cohort, after adjustment for confounders, diabetes type was unknown in 62 youth (3%), associated with older age, negative IA-2 autoantibody, lower C-peptide, and no diabetic ketoacidosis (all, p<0.05). In the longitudinal subcohort, diabetes classification changed in 35 youth (3.4%); this was not statistically associated with any single characteristic. Having unknown or revised diabetes type was associated with less continuous glucose monitor use on follow-up (both, p<0.004). In sum, among racially/ethnically diverse youth with diabetes, 6.5% had imprecise diabetes classification at diagnosis. Further research is warranted to improve accurate diagnosis of pediatric diabetes type. |
format | Online Article Text |
id | pubmed-10246228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-102462282023-06-08 Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications Tosur, Mustafa Huang, Xiaofan Inglis, Audrey S Aguirre, Rebecca Schneider Redondo, Maria J Res Sq Article Classifying diabetes at diagnosis is crucial for disease management but increasingly difficult due to overlaps in characteristics between the commonly encountered diabetes types. We evaluated the prevalence and characteristics of youth with diabetes type that was unknown at diagnosis or was revised over time. We studied 2073 youth with new-onset diabetes (median age [IQR]=11.4 [6.2] years; 50% male; 75% White, 21% Black, 4% other race; overall, 37% Hispanic) and compared youth with unknown versus known diabetes type, per pediatric endocrinologist diagnosis. In a longitudinal subcohort of patients with data for ≥3 years post-diabetes diagnosis (n=1019), we compared youth with unchanged versus changed diabetes classification. In the entire cohort, after adjustment for confounders, diabetes type was unknown in 62 youth (3%), associated with older age, negative IA-2 autoantibody, lower C-peptide, and no diabetic ketoacidosis (all, p<0.05). In the longitudinal subcohort, diabetes classification changed in 35 youth (3.4%); this was not statistically associated with any single characteristic. Having unknown or revised diabetes type was associated with less continuous glucose monitor use on follow-up (both, p<0.004). In sum, among racially/ethnically diverse youth with diabetes, 6.5% had imprecise diabetes classification at diagnosis. Further research is warranted to improve accurate diagnosis of pediatric diabetes type. American Journal Experts 2023-05-25 /pmc/articles/PMC10246228/ /pubmed/37293006 http://dx.doi.org/10.21203/rs.3.rs-2958200/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Tosur, Mustafa Huang, Xiaofan Inglis, Audrey S Aguirre, Rebecca Schneider Redondo, Maria J Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications |
title | Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications |
title_full | Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications |
title_fullStr | Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications |
title_full_unstemmed | Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications |
title_short | Imprecise Diagnosis of Diabetes Type in Youth: Prevalence, Characteristics, and Implications |
title_sort | imprecise diagnosis of diabetes type in youth: prevalence, characteristics, and implications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246228/ https://www.ncbi.nlm.nih.gov/pubmed/37293006 http://dx.doi.org/10.21203/rs.3.rs-2958200/v1 |
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