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Generalized Joint Hypermobility: A Statistical Analysis Identifies Non-Axial Involvement in Most Cases.

Mateus Marino LamariNeuseli Marino LamariMichael Peres de MedeirosMatheus Gomes GiacominiAdriana Barbosa SantosGerardo Maria de Araújo FilhoEny Maria Goloni-BertolloÉrika Cristina Pavarino
Published in: Children (Basel, Switzerland) (2024)
BS ≥ 6 represents the majority of the sample and predominantly girls. Most characterized children with GJH present BS = 6 and BS = 8 with variables located only in ULs and LLs, a condition that does not imply the feature is generalized. In children, BS = 7 and BS = 9 characterize GJH by including the axial skeleton, ULs, and LLs. These results draw attention to the implications for defining the diagnosis of hEDS and HSDs.
Keyphrases
  • young adults
  • machine learning
  • working memory
  • genome wide
  • deep learning
  • dna methylation
  • african american