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The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age

BACKGROUND: A maturity-onset diabetes of the young (MODY) calculator has been described and validated for use in European Caucasians. This study evaluated its performance in Brazilians diagnosed with diabetes mellitus (DM) before 35 years of age. METHODS: The electronic records of 391 individuals we...

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Autores principales: Santomauro, Augusto Cezar, Magalhães, Áurea Luiza Fernandes, Motta, Flávia Tedesco, de Santana, Lucas Santos, Franco, Pedro Campos, de Freitas, Silvia Maria, Sanchez, Jeniffer Johana Duarte, Costa-Riquetto, Aline Dantas, Teles, Milena G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900997/
https://www.ncbi.nlm.nih.gov/pubmed/36747290
http://dx.doi.org/10.1186/s13098-023-00985-3
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author Santomauro, Augusto Cezar
Magalhães, Áurea Luiza Fernandes
Motta, Flávia Tedesco
de Santana, Lucas Santos
Franco, Pedro Campos
de Freitas, Silvia Maria
Sanchez, Jeniffer Johana Duarte
Costa-Riquetto, Aline Dantas
Teles, Milena G.
author_facet Santomauro, Augusto Cezar
Magalhães, Áurea Luiza Fernandes
Motta, Flávia Tedesco
de Santana, Lucas Santos
Franco, Pedro Campos
de Freitas, Silvia Maria
Sanchez, Jeniffer Johana Duarte
Costa-Riquetto, Aline Dantas
Teles, Milena G.
author_sort Santomauro, Augusto Cezar
collection PubMed
description BACKGROUND: A maturity-onset diabetes of the young (MODY) calculator has been described and validated for use in European Caucasians. This study evaluated its performance in Brazilians diagnosed with diabetes mellitus (DM) before 35 years of age. METHODS: The electronic records of 391 individuals were reviewed in 2020 at the diabetes clinic of a quaternary hospital in São Paulo were analyzed: 231 with type 1 DM (T1DM), 46 with type 2 (T2DM) and 114 with MODY. The MODY calculator was applied to the three groups. A receiver operating characteristic curve was calculated to obtain cut-off points for this population. RESULTS: The principal differences between the MODY and the T1DM and T2DM groups were body mass index, a positive family history of diabetes and mean HbA1c level. Age at diagnosis in the MODY group was only significantly different compared to the T2DM group. Specificity and sensitivity were good for the cut-off points of 40%, 50% and 60%, with the accuracy of the model for any of these cut-off points being > 95%. CONCLUSION: The capacity of the calculator to identify Brazilian patients with MODY was good. Values ≥ 60% proved useful for selecting candidates for MODY genetic testing, with good sensitivity and specificity.
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spelling pubmed-99009972023-02-07 The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age Santomauro, Augusto Cezar Magalhães, Áurea Luiza Fernandes Motta, Flávia Tedesco de Santana, Lucas Santos Franco, Pedro Campos de Freitas, Silvia Maria Sanchez, Jeniffer Johana Duarte Costa-Riquetto, Aline Dantas Teles, Milena G. Diabetol Metab Syndr Research BACKGROUND: A maturity-onset diabetes of the young (MODY) calculator has been described and validated for use in European Caucasians. This study evaluated its performance in Brazilians diagnosed with diabetes mellitus (DM) before 35 years of age. METHODS: The electronic records of 391 individuals were reviewed in 2020 at the diabetes clinic of a quaternary hospital in São Paulo were analyzed: 231 with type 1 DM (T1DM), 46 with type 2 (T2DM) and 114 with MODY. The MODY calculator was applied to the three groups. A receiver operating characteristic curve was calculated to obtain cut-off points for this population. RESULTS: The principal differences between the MODY and the T1DM and T2DM groups were body mass index, a positive family history of diabetes and mean HbA1c level. Age at diagnosis in the MODY group was only significantly different compared to the T2DM group. Specificity and sensitivity were good for the cut-off points of 40%, 50% and 60%, with the accuracy of the model for any of these cut-off points being > 95%. CONCLUSION: The capacity of the calculator to identify Brazilian patients with MODY was good. Values ≥ 60% proved useful for selecting candidates for MODY genetic testing, with good sensitivity and specificity. BioMed Central 2023-02-06 /pmc/articles/PMC9900997/ /pubmed/36747290 http://dx.doi.org/10.1186/s13098-023-00985-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Santomauro, Augusto Cezar
Magalhães, Áurea Luiza Fernandes
Motta, Flávia Tedesco
de Santana, Lucas Santos
Franco, Pedro Campos
de Freitas, Silvia Maria
Sanchez, Jeniffer Johana Duarte
Costa-Riquetto, Aline Dantas
Teles, Milena G.
The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
title The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
title_full The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
title_fullStr The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
title_full_unstemmed The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
title_short The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
title_sort performance of the mody calculator in a non-caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900997/
https://www.ncbi.nlm.nih.gov/pubmed/36747290
http://dx.doi.org/10.1186/s13098-023-00985-3
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