Toggle Main Menu Toggle Search

Open Access padlockePrints

Understanding the Early Presentation of Mucopolysaccharidoses Disorders Results of a Systematic Literature Review and Physician Survey

Lookup NU author(s): Emerita Professor Helen Foster

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

As therapies are developed for rare disorders, challenges of early diagnosis become particularly relevant. This article focuses on clinical recognition of mucopolysaccharidoses (MPS), a group of rare genetic diseases related to abnormalities in lysosomal function. As quality of outcomes with current therapies is impacted by timing of intervention, minimizing time to diagnosis is critical. The objective of this study was to characterize how, when, and to whom patients with MPS first present and develop tools to stimulate earlier recognition of MPS. A tripartite approach was used, including a systematic literature review yielding 194 studies, an online physician survey completed by 209 physicians who described 859 MPS cases, and a global panel of MPS experts who distilled the findings. Red flag signs/symptoms were identified for cardiology, pediatric neurology, otorhinolaryngology, rheumatology, orthopedics, pediatrics, and general medicine and converted into simple, specialty-specific tools intended to facilitate early diagnosis of MPS, enabling improved patient outcomes.


Publication metadata

Author(s): Clarke L, Ellaway C, Foster HE, Giugliani R, Goizet C, Goring S, Hawley S, Jurecki E, Khan Z, Lampe C, Martin K, McMullen S, Mitchel JJ, Mubarack F, Serap Sivra H, Villarreal MS, Stewart FJ, Tylki-Szymanska A, White K, Wijburg F

Publication type: Article

Publication status: Published

Journal: Journal of Inborn Errors of Metabolism and Screening

Year: 2018

Volume: 6

Online publication date: 25/09/2018

Acceptance date: 08/08/2018

Date deposited: 07/01/2019

ISSN (electronic): 2326-4594

Publisher: Sage Publications, Inc.

URL: https://doi.org/10.1177/2326409818800346

DOI: 10.1177/2326409818800346


Altmetrics

Altmetrics provided by Altmetric


Share