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Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities

Background and Objectives: Diagnostic delay is common in attenuated Mucopolysaccharidosis Type I (MPS Ia) due to the rarity of the disease and the variability of clinical presentation. Short stature and impaired growth velocity are frequent findings in MPS Ia, but they rarely raise suspicion as paed...

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Autores principales: Baronio, Federico, Zucchini, Stefano, Zulian, Francesco, Salerno, Mariacarolina, Parini, Rossella, Cattoni, Alessandro, Deodato, Federica, Gaeta, Alberto, Bizzarri, Carla, Gasperini, Serena, Pession, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780542/
https://www.ncbi.nlm.nih.gov/pubmed/35056405
http://dx.doi.org/10.3390/medicina58010097
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author Baronio, Federico
Zucchini, Stefano
Zulian, Francesco
Salerno, Mariacarolina
Parini, Rossella
Cattoni, Alessandro
Deodato, Federica
Gaeta, Alberto
Bizzarri, Carla
Gasperini, Serena
Pession, Andrea
author_facet Baronio, Federico
Zucchini, Stefano
Zulian, Francesco
Salerno, Mariacarolina
Parini, Rossella
Cattoni, Alessandro
Deodato, Federica
Gaeta, Alberto
Bizzarri, Carla
Gasperini, Serena
Pession, Andrea
author_sort Baronio, Federico
collection PubMed
description Background and Objectives: Diagnostic delay is common in attenuated Mucopolysaccharidosis Type I (MPS Ia) due to the rarity of the disease and the variability of clinical presentation. Short stature and impaired growth velocity are frequent findings in MPS Ia, but they rarely raise suspicion as paediatric endocrinologists are generally poorly trained to detect earlier and milder clinical signs of this condition. Materials and Methods: Following a consensus-based methodology, a multidisciplinary panel including paediatric endocrinologists, paediatricians with expertise in metabolic disorders, radiologists, and rheumatologists shared their experience on a possible clinical approach to the diagnosis of MPS Ia in children with short stature or stunted growth. Results: The result was the formation of an algorithm that illustrates how to raise the suspicion of MPS Ia in a patient older than 5 years with short stature and suggestive clinical signs. Conclusion: The proposed algorithm may represent a useful tool to improve the awareness of paediatric endocrinologists and reduce the diagnostic delay for patients with MPS Ia.
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spelling pubmed-87805422022-01-22 Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities Baronio, Federico Zucchini, Stefano Zulian, Francesco Salerno, Mariacarolina Parini, Rossella Cattoni, Alessandro Deodato, Federica Gaeta, Alberto Bizzarri, Carla Gasperini, Serena Pession, Andrea Medicina (Kaunas) Article Background and Objectives: Diagnostic delay is common in attenuated Mucopolysaccharidosis Type I (MPS Ia) due to the rarity of the disease and the variability of clinical presentation. Short stature and impaired growth velocity are frequent findings in MPS Ia, but they rarely raise suspicion as paediatric endocrinologists are generally poorly trained to detect earlier and milder clinical signs of this condition. Materials and Methods: Following a consensus-based methodology, a multidisciplinary panel including paediatric endocrinologists, paediatricians with expertise in metabolic disorders, radiologists, and rheumatologists shared their experience on a possible clinical approach to the diagnosis of MPS Ia in children with short stature or stunted growth. Results: The result was the formation of an algorithm that illustrates how to raise the suspicion of MPS Ia in a patient older than 5 years with short stature and suggestive clinical signs. Conclusion: The proposed algorithm may represent a useful tool to improve the awareness of paediatric endocrinologists and reduce the diagnostic delay for patients with MPS Ia. MDPI 2022-01-08 /pmc/articles/PMC8780542/ /pubmed/35056405 http://dx.doi.org/10.3390/medicina58010097 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Baronio, Federico
Zucchini, Stefano
Zulian, Francesco
Salerno, Mariacarolina
Parini, Rossella
Cattoni, Alessandro
Deodato, Federica
Gaeta, Alberto
Bizzarri, Carla
Gasperini, Serena
Pession, Andrea
Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities
title Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities
title_full Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities
title_fullStr Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities
title_full_unstemmed Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities
title_short Proposal of an Algorithm to Early Detect Attenuated Type I Mucopolysaccharidosis (MPS Ia) among Children with Growth Abnormalities
title_sort proposal of an algorithm to early detect attenuated type i mucopolysaccharidosis (mps ia) among children with growth abnormalities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780542/
https://www.ncbi.nlm.nih.gov/pubmed/35056405
http://dx.doi.org/10.3390/medicina58010097
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