Rare disease patient matchmaking: development and outcomes of an internet case-finding strategy in the Undiagnosed Diseases Network

Orphanet Journal of Rare Diseases

Molly A. McGuinness¹  Anna Nagy²  Emily G. Kelley²  Kimberly LeBlanc²  Tala Berro³  Jorick Bater⁴  Courtney Studwell⁵  Matthew Might⁶ 

[1] Bass Center for Childhood Cancer and Blood Diseases, Stanford Children’s Health, Palo Alto, CA, USA;Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA;Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA;Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA;Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA;Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, AL, USA;

关键词: Rare disease;    Gene discovery;    Matchmaking;    Data sharing;    Diagnostic odyssey;   

DOI  :  10.1186/s13023-021-01825-1

来源: Springer

【 摘 要 】

BackgroundAlthough clinician, researcher, and patient resources for matchmaking exist, finding similar patients remains an obstacle for rare disease diagnosis. The goals of this study were to develop and test the effectiveness of an Internet case-finding strategy and identify factors associated with increased matching within a rare disease population.MethodsPublic web pages were created for consented participants. Matches made, time to each inquiry and match, and outcomes were recorded and analyzed using descriptive statistics. A Poisson regression model was run to identify characteristics associated with matches.Results385 participants were referred to the project and 158 had pages posted. 579 inquiries were received; 89.0% were from the general public and 24.7% resulted in a match. 81.6% of pages received at least one inquiry and 15.0% had at least one patient match. Primary symptom category of neurology, diagnosis, gene page, and photo were associated with increased matches (p ≤ 0.05).ConclusionsThis Internet case-finding strategy was of interest to patients, families, and clinicians, and similar patients were identified using this approach. Extending matchmaking efforts to the general public resulted in matches and suggests including this population in matchmaking activities can improve identification of similar patients.

【 授权许可】

CC BY