The Undiagnosed Diseases Network: Characteristics of solvable applicants and diagnostic suggestions for non-accepted ones.

Clinical diagnosis Environmental exposures Record review Undiagnosed and rare diseases

Journal

Genetics in medicine : official journal of the American College of Medical Genetics
ISSN: 1530-0366
Titre abrégé: Genet Med
Pays: United States
ID NLM: 9815831

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 04 01 2024
revised: 25 06 2024
accepted: 28 06 2024
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 5 7 2024
Statut: aheadofprint

Résumé

Can certain characteristics identify as solvable some undiagnosed patients who seek extensive evaluation and thorough record review, like by the Undiagnosed Diseases Network (UDN)? The UDN is a national research resource to solve medical mysteries through team science. Applicants provide informed consent to access to their medical records. After review, expert panels assess if applicants meet inclusion and exclusion criteria to select participants. When not accepting applicants, UDN experts may offer suggestions for diagnostic efforts. Using minimal information from initial applications, we compare features in applicants not accepted with those accepted and either solved or still not solved by the UDN. The diagnostic suggestions offered to non-accepted applicants and their clinicians were tallied. Non-accepted applicants were more often female, older at first symptoms and application, and longer in review than accepted applicants. The accepted and successfully diagnosed applicants were younger in ages, shorter in review time, more often non-white, of Hispanic ethnicity, and presenting with nervous system features. Half of non-accepted applicants were given suggestions for further local diagnostic evaluation. A few seemed to have two major diagnoses or a provocative environmental exposure history. Comprehensive UDN record review generates possibly helpful advice.

Identifiants

pubmed: 38967101
pii: S1098-3600(24)00137-0
doi: 10.1016/j.gim.2024.101203
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101203

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

John J Mulvihill (JJ)

National Human Genome Research Institute (National Institutes of Health), Bethesda, MD;; Department of Pediatrics, University of Oklahoma, Oklahoma City, Oklahoma;. Electronic address: johmulvihill@gmail.com.

Laura Findley (L)

National Human Genome Research Institute (National Institutes of Health), Bethesda, MD.

Weihong Ni (W)

Department of Computer Science and Mathematics, Arcadia University, Glenside, PA.

Janet S Sinsheimer (JS)

Departments of Human Genetics and of Computational Medicine and Biostatistics, University of California, Los Angeles, CA.

F Session Cole (FS)

Department of Pediatrics, Washington University, St. Louis, MO.

Cecilia Esteves (C)

Department of Biomedical Informatics, Harvard Medical School, Boston, MA.

Jonathan A Bernstein (JA)

Department of Pediatrics, Stanford University, Stanford, CA, USA.

John H Newman (JH)

Department of Medicine, Vanderbilt University, Nashville, TN.

Matthew T Wheeler (MT)

Department of Medicine, Stanford University, Stanford, CA.

Jill R Mokry (JR)

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX.

Classifications MeSH