Unveiling the Spectrum: Clinical and Molecular Insights from a Spanish Pediatric Cohort with Hypermobility Disorders and Ehlers-Danlos Syndrome
Diagnosing hypermobility disorders and Ehlers-Danlos syndrome (EDS) in children is challenging due to overlapping features with generalized joint hypermobility (GJH) and the lack of biomarkers. Background/Objectives: This study aims to describe the clinical and genetic features of pediatric EDS pati...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau) |
| Repositorio: | r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau |
| OAI Identifier: | oai:iibsantpau.fundanetsuite.com:p20141 |
| Acceso en línea: | https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=20141 |
| Access Level: | acceso abierto |
| Palabra clave: | Ehlers-Danlos syndrome hypermobility spectrum disorders joint hypermobility collagenopathy pediatrics |
| Sumario: | Diagnosing hypermobility disorders and Ehlers-Danlos syndrome (EDS) in children is challenging due to overlapping features with generalized joint hypermobility (GJH) and the lack of biomarkers. Background/Objectives: This study aims to describe the clinical and genetic features of pediatric EDS patients and identify key comorbidities and correlations. Methods: This is a single-center observational study of patients under 18 diagnosed with suspicion of EDS (2018-2024) at a tertiary pediatric hospital. Diagnoses were made using 2017 criteria. Results: Forty-one patients (46% female; mean age 11.1 +/- 2.8 years) were included. Based on 2017 criteria, 61% had hypermobile EDS (hEDS)/hypermobility spectrum disorder (HSD), 22% classical EDS, 7.3% vascular, and 9.7% other subtypes. Musculoskeletal (90.2%), cutaneous (68.3%), and psychiatric (56.1%) symptoms were most frequent. Significant associations included older age with psychiatric symptoms (p = 0.029), Beighton score with dislocations (p = 0.026), and less atrophic scarring in hEDS (p < 0.008). Genetic testing (73% performed) confirmed pathogenic variants (11 novel) in EDS with a known molecular cause. Conclusions: This study proposes a clinically guided approach and diagnostic algorithm for youth hypermobility, emphasizing precision medicine principles, while highlighting the urgent need for further research to identify hEDS biomarkers. |
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