Easy-to-use algorithm would provide faster diagnoses for mucopolysaccharidosis type I and enable patients to receive earlier treatment
Jazyk angličtina Země Norsko Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
29797470
PubMed Central
PMC6055821
DOI
10.1111/apa.14417
Knihovny.cz E-zdroje
- Klíčová slova
- Algorithm, Diagnosis, Kyphosis, Mucopolysaccharidosis, Symptoms,
- MeSH
- algoritmy * MeSH
- časná diagnóza * MeSH
- dítě MeSH
- hodnocení rizik MeSH
- internacionalita MeSH
- konsensus MeSH
- lidé MeSH
- mukopolysacharidóza I diagnóza terapie MeSH
- multimorbidita MeSH
- novorozenec MeSH
- novorozenecký screening metody MeSH
- předškolní dítě MeSH
- prognóza MeSH
- progrese nemoci MeSH
- retrospektivní studie MeSH
- sexuální faktory MeSH
- stupeň závažnosti nemoci MeSH
- věkové faktory MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
AIM: The aim of this study was to develop an algorithm to prompt early clinical suspicion of mucopolysaccharidosis type I (MPS I). METHODS: An international working group was established in 2016 that comprised 11 experts in paediatrics, rare diseases and inherited metabolic diseases. They reviewed real-world clinical cases, selected key signs or symptoms based on their prevalence and specificity and reached consensus about the algorithm. The algorithm was retrospectively tested. RESULTS: An algorithm was developed. In patients under two years of age, kyphosis or gibbus deformity were the key symptoms that raised clinical suspicion of MPS I and in those over two years they were kyphosis or gibbus deformity, or joint stiffness or contractures without inflammation. The algorithm was tested on 35 cases, comprising 16 Hurler, 10 Hurler-Scheie, and nine Scheie patients. Of these 35 cases, 32 (91%) - 16 Hurler, nine Hurler-Scheie and seven Scheie patients - would have been referred earlier if the algorithm had been used. CONCLUSION: The expert panel developed and tested an algorithm that helps raise clinical suspicion of MPS I and would lead to a more prompt final diagnosis and allow earlier treatment.
Department of Paediatric Neurology and Metabolic Diseases Brussels Belgium
Department of Paediatrics Academic Medical Center Amsterdam The Netherlands
Department of Pediatrics University of Padova Padova Italy
Reference Centre of Metabolic Diseases Hôpital Femme Mère Enfant Bron France
Unit of Rare Diseases Department of Paediatrics IRCCS Giannina Gaslini Genova Italy
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