Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles European Journal of Human Genetics Year : 2020

Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database

Abstract

Abstract Rare diseases, an emerging global public health priority, require an evidence-based estimate of the global point prevalence to inform public policy. We used the publicly available epidemiological data in the Orphanet database to calculate such a prevalence estimate. Overall, Orphanet contains information on 6172 unique rare diseases; 71.9% of which are genetic and 69.9% which are exclusively pediatric onset. Global point prevalence was calculated using rare disease prevalence data for predefined geographic regions from the ‘Orphanet Epidemiological file’ ( http://www.orphadata.org/cgi-bin/epidemio.html ). Of the 5304 diseases defined by point prevalence, 84.5% of those analysed have a point prevalence of <1/1 000 000. However 77.3–80.7% of the population burden of rare diseases is attributable to the 4.2% ( n = 149) diseases in the most common prevalence range (1–5 per 10 000). Consequently national definitions of ‘Rare Diseases’ (ranging from prevalence of 5 to 80 per 100 000) represent a variable number of rare disease patients despite sharing the majority of rare disease in their scope. Our analysis yields a conservative, evidence-based estimate for the population prevalence of rare diseases of 3.5–5.9%, which equates to 263–446 million persons affected globally at any point in time. This figure is derived from data from 67.6% of the prevalent rare diseases; using the European definition of 5 per 10 000; and excluding rare cancers, infectious diseases, and poisonings. Future registry research and the implementation of rare disease codification in healthcare systems will further refine the estimates.
Fichier principal
Vignette du fichier
s41431-019-0508-0.pdf (974.53 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inserm-04045409 , version 1 (24-03-2023)

Licence

Attribution

Identifiers

Cite

Stéphanie Nguengang Wakap, Deborah Lambert, Annie Olry, Charlotte Rodwell, Charlotte Gueydan, et al.. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database. European Journal of Human Genetics, 2020, 28 (2), pp.165-173. ⟨10.1038/s41431-019-0508-0⟩. ⟨inserm-04045409⟩

Collections

INSERM
1 View
1 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More