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A clinical scoring system for early onset (neonatal) Marfan syndrome

  • Yuri A. Zarate
  • , Shaine A. Morris
  • , Anna Blackshare
  • , Claudia A. Algaze
  • , Brynn S. Connor
  • , Andrew J. Kim
  • , Katherine E. Yutzey
  • , Erin M. Miller
  • , Kathryn Nicole Weaver
  • , Ronnie Thomas Collins

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Purpose: This study aimed to develop objective diagnostic criteria for early onset Marfan syndrome (eoMFS) to facilitate early diagnosis and timely interventions. Methods: On the basis of an extensive literature review and the responses from a survey distributed among providers with expertise in the diagnosis and management of eoMFS, we developed an age-based, diagnostic scoring system encompassing 10 features common to eoMFS (9 clinical + 1 laboratory) and divided them into cardiac, systemic, and FBN1 (on the basis of the location of the pathogenic FBN1 variant) scores. Results: In total, 77 individuals with eoMFS (13 newly reported) and 49 individuals diagnosed with classical Marfan syndrome during early childhood were used to validate the criteria. Median cardiac (8 vs 0, P <.001), systemic (11 vs 3, P <.001), FBN1 (5 vs 0, P <.001), and total (23 vs 4, P <.001) scores were significantly higher in individuals with eoMFS than in those without. A proposed clinical score (cardiac + systemic) cutoff of ≥14 points showed excellent sensitivity (100%), specificity (92%), and reliability (correctly classified = 94%). Conclusion: Distinct from classical Marfan syndrome in phenotype and morbidity, eoMFS can be diagnosed clinically using an objective scoring system encompassing the typical physical features and cardiac disease manifestations. Although genetic testing can be suggestive of eoMFS, genetic testing alone is insufficient for diagnosis.

Original languageEnglish
Pages (from-to)1503-1511
Number of pages9
JournalGenetics in Medicine
Volume24
Issue number7
DOIs
StatePublished - Jul 2022

Bibliographical note

Publisher Copyright:
© 2022 American College of Medical Genetics and Genomics

Funding

The authors would like to thank the providers who responded to the initial survey. Support for REDCap was made possible through the University of Arkansas for Medical Sciences Translational Research Institute (NCATS/NIH UL1 RR029884). Conceptualization: Y.A.Z. S.A.M. A.B. R.T.C.; Formal Analysis: Y.A.Z. A.B. C.A.A. B.S.C.; Investigation: Y.A.Z. S.A.M. A.B. A.J.K. K.E.Y. E.M.M. K.N.W. R.T.C.; Resources: Y.A.Z. C.A.A. B.S.C.; Writing-original draft: Y.A.Z. R.T.C.; Writing-review and editing: Y.A.Z. S.A.M. C.A.A. K.E.Y. E.M.M. K.N.W. R.T.C. Approval for the review and reporting of these cases was given by the Institutional Review Board of the University of Arkansas for Medical Sciences. Data from the survey distributed to the providers were anonymized. Written informed consent was obtained from individual ID#62 for the scientific use of photo documentation.

FundersFunder number
National Institutes of Health (NIH)UL1 RR029884
National Center for Advancing Translational Sciences (NCATS)
University of Arkansas for Medical Sciences
Translational Research Institute, University of Arkansas for Medical Sciences

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • FBN1
    • Marfan syndrome
    • Neonate
    • Severe cardiovascular disease
    • Severe early onset

    ASJC Scopus subject areas

    • Genetics(clinical)

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