Publication: Recognition of alpha-mannosidosis in paediatric and adult patients: Presentation of a diagnostic algorithm from an international working group.
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Identifiers
Date
2019-01-29
Authors
Guffon, N
Tylki-Szymanska, A
Borgwardt, L
Lund, A M
Gil-Campos, M
Parini, R
Hennermann, J B
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
Alpha-mannosidosis is an ultra-rare progressive lysosomal storage disorder caused by deficiency of alpha-mannosidase. Timely diagnosis of the disease has the potential to influence patient outcomes as preventive therapies can be initiated at an early stage. However, no internationally-recognised algorithm is currently available for the diagnosis of the disease. With the aim of developing a diagnostic algorithm for alpha-mannosidosis an international panel of experts met to reach a consensus by applying the nominal group technique. Two proposals were developed for diagnostic algorithms of alpha-mannosidosis, one for patients ≤10 years of age and one for those >10 years of age. In younger patients, hearing impairment and/or speech delay are the cardinal symptoms that should prompt the clinician to look for additional symptoms that may provide further diagnostic clues. Older patients have different clinical presentations, and the presence of mental retardation and motor impairment progression and/or psychiatric manifestations should prompt the clinician to assess for other symptoms. In both younger and older patients, either additional metabolic monitoring or referral for testing is warranted upon suspicion of disease. Oligosaccharides in urine (historically performed) or serum were considered as an initial screening procedure, while enzymatic activity may also be considered as first choice in some centres. Molecular testing should be performed as a final confirmatory step. The developed algorithms can easily be applied in a variety of settings, and may help to favour early diagnosis of alpha mannosidosis and treatment.
Description
MeSH Terms
Adolescent
Adult
Age Factors
Algorithms
Child
Child, Preschool
Consensus
Disease Progression
Humans
Internationality
Middle Aged
Young Adult
alpha-Mannosidosis
Adult
Age Factors
Algorithms
Child
Child, Preschool
Consensus
Disease Progression
Humans
Internationality
Middle Aged
Young Adult
alpha-Mannosidosis
DeCS Terms
Algoritmos
Consenso
Factores de edad
Preescolar
Progresión de la enfermedad
Internacionalidad
Consenso
Factores de edad
Preescolar
Progresión de la enfermedad
Internacionalidad
CIE Terms
Keywords
Algorithm, Alpha-mannosidosis, Diagnosis, Lysosomal storage disorder, Symptoms
Citation
Guffon N, Tylki-Szymanska A, Borgwardt L, Lund AM, Gil-Campos M, Parini R, et al. Recognition of alpha-mannosidosis in paediatric and adult patients: Presentation of a diagnostic algorithm from an international working group. Mol Genet Metab. 2019 Apr;126(4):470-474