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Verfasst von:Zielonka, Matthias [VerfasserIn]   i
 Garbade, Sven [VerfasserIn]   i
 Kölker, Stefan [VerfasserIn]   i
 Hoffmann, Georg Friedrich [VerfasserIn]   i
 Ries, Markus [VerfasserIn]   i
Titel:A cross-sectional quantitative analysis of the natural history of Farber disease
Titelzusatz:an ultra-orphan condition with rheumatologic and neurological cardinal disease features
Verf.angabe:Matthias Zielonka, Sven F. Garbade, Stefan Kölker, Georg F. Hoffmann & Markus Ries
Jahr:2018
Jahr des Originals:2017
Umfang:7 S.
Fussnoten:Advance online publication 19 October 2017 ; Published: 19 October 2017 ; Gesehen am 16.08.2018
Titel Quelle:Enthalten in: Genetics in medicine
Ort Quelle:London, UK : Springer Nature, 1998
Jahr Quelle:2018
Band/Heft Quelle:20(2018), 5, Seite 524-530
ISSN Quelle:1530-0366
Abstract:PurposeFarber disease (OMIM 22800) is an ultrarare progressive multisystemic neurodevelopmental storage disorder caused by a deficiency of the lysosomal enzyme acid ceramidase (AC). Hard clinical end points for future clinical trials remain to be defined.MethodsWe quantitatively analyzed published cases with Farber disease (N = 96). The main outcome variables were survival and diagnostic delay. As a potential predictor of survival, the influence of residual AC enzyme activity was investigated. The analysis was performed in compliance with STROBE criteria.ResultsThe median survival period of the study population was 3 years. The median age at disease onset was 3 months, and the median age at diagnosis was 17 months. The median diagnostic delay was 13.75 months. Patients with residual AC activity in fibroblasts at more than 5.1% of the normal level survived significantly longer than patients with residual AC activity below this threshold. In addition, higher residual AC activity was associated with a later onset of symptoms.ConclusionFarber disease onset is in infancy. Diagnostic delay is typically substantial. Our data suggest a phenotype-biomarker association with implications for future clinical and therapeutic trials. In the absence of a prospective multicenter natural-history study protocol, we believe that our modeling approach, based on published case descriptions, is the best and most timely approximation for generalizability.
DOI:doi:10.1038/gim.2017.133
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: http://dx.doi.org/10.1038/gim.2017.133
 Volltext: https://www.nature.com/articles/gim2017133
 DOI: https://doi.org/10.1038/gim.2017.133
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1580124267
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