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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8780542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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