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Characteristics of undiagnosed diseases network applicants: implications for referring providers.
Walley, Nicole M; Pena, Loren D M; Hooper, Stephen R; Cope, Heidi; Jiang, Yong-Hui; McConkie-Rosell, Allyn; Sanders, Camilla; Schoch, Kelly; Spillmann, Rebecca C; Strong, Kimberly; McCray, Alexa T; Mazur, Paul; Esteves, Cecilia; LeBlanc, Kimberly; Wise, Anastasia L; Shashi, Vandana.
Afiliación
  • Walley NM; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Pena LDM; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Hooper SR; Department of Allied Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Cope H; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Jiang YH; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • McConkie-Rosell A; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Sanders C; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Schoch K; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Spillmann RC; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA.
  • Strong K; Ethics and Genomics Program, HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
  • McCray AT; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Mazur P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Esteves C; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • LeBlanc K; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Wise AL; National Human Genome Research Institute, NIH, Bethesda, MD, USA.
  • Shashi V; Division of Medical Genetics, Department of Pediatrics, Duke Health, Box 103857, Durham, NC, 27710, USA. vandana.shashi@duke.edu.
BMC Health Serv Res ; 18(1): 652, 2018 Aug 22.
Article en En | MEDLINE | ID: mdl-30134969
ABSTRACT

BACKGROUND:

The majority of undiagnosed diseases manifest with objective findings that warrant further investigation. The Undiagnosed Diseases Network (UDN) receives applications from patients whose symptoms and signs have been intractable to diagnosis; however, many UDN applicants are affected primarily by subjective symptoms such as pain and fatigue. We sought to characterize presenting symptoms, referral sources, and demographic factors of applicants to the UDN to identify factors that may determine application outcome and potentially differentiate between those with undiagnosed diseases (with more objective findings) and those who are less likely to have an undiagnosed disease (more subjective symptoms).

METHODS:

We used a systematic retrospective review of 151 consecutive Not Accepted and 50 randomly selected Accepted UDN applications. The primary outcome was whether an applicant was Accepted, or Not Accepted, and, if accepted, whether or not a diagnosis was made. Objective and subjective symptoms and information on prior specialty consultations were collected from provider referral letters. Demographic data and decision data on network acceptance were gathered from the UDN online portal.

RESULTS:

Fewer objective findings and more subjective symptoms were found in the Not Accepted applications. Not Accepted referrals also were from older individuals, reported a shorter period of illness, and were referred to the UDN by their primary care physicians. All of these differences reached statistical significance in comparison with Accepted applications. The frequency of subspecialty consults for diagnostic purposes prior to UDN application was similar in both groups.

CONCLUSIONS:

The preponderance of subjective and lack of objective findings in the Not Accepted applications distinguish these from applicants that are accepted for evaluation and diagnostic efforts through the UDN. Not Accepted applicants are referred primarily by their primary care providers after multiple specialist consultations fail to yield answers. Distinguishing between patients with undiagnosed diseases with objective findings and those with primarily subjective findings can delineate patients who would benefit from further diagnostic processes from those who may have functional disorders and need alternative pathways for management of their symptoms. TRIAL REGISTRATION clinicaltrials.gov NCT02450851 , posted May 21st 2015.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Derivación y Consulta / Manejo de la Enfermedad / Enfermedades Raras Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: BMC Health Serv Res Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Derivación y Consulta / Manejo de la Enfermedad / Enfermedades Raras Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: BMC Health Serv Res Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos