Development of a clinical algorithm for the early diagnosis of mucopolysaccharidosis III

Mucopolysaccharidosis III (MPS III) is a rare inherited metabolic disease primarily affecting the central nervous system, leading to developmental and/or speech regression. Early diagnosis of the disease is important to introduce appropriate management measures and to optimize therapeutic outcomes....

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Detalles Bibliográficos
Autores: Escolar, Maria Luisa, Giugliani, Roberto, Zwaigenbaum, Lonnie
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Universidade Federal do Rio Grande do Sul (UFRGS)
Repositorio:Repositório Institucional da UFRGS
Idioma:inglés
OAI Identifier:oai:www.lume.ufrgs.br:10183/214126
Acceso en línea:http://hdl.handle.net/10183/214126
Access Level:acceso abierto
Palabra clave:Avaliação de sintomas
Mucopolissacaridose III
Sinais e sintomas
Diagnóstico
Mucopolysaccharidosis III
Sanfilippo syndrome
Signs
Symptoms
Diagnostic algorithm
Descripción
Sumario:Mucopolysaccharidosis III (MPS III) is a rare inherited metabolic disease primarily affecting the central nervous system, leading to developmental and/or speech regression. Early diagnosis of the disease is important to introduce appropriate management measures and to optimize therapeutic outcomes. The diagnosis of MPS III is often significantly delayed due to the rarity of the disease, the more attenuated somatic presentation compared to other MPS types, and the symptom overlap with other developmental disorders. To shorten the time to diagnosis, a list of eight early signs and symptoms was identified through an expert system approach by a global, multidisciplinary working group of 13 specialists with expertise in various aspects of MPS and developmental disorders and three parents of MPS III patients. Coarse facial features and persistent hirsutism or prominent, thick eyebrows were identified as the most important MPS III early signs. The list of eight early MPS III signs and symptoms is the first step towards the development of a clinical algorithm aiming to identify neonates and infants with MPS III before the onset of neurocognitive damage, ultimately shortening the diagnostic journey of MPS III patients.