P Ros-Arlanzón, L Pelegrín-Durá, C Aledo-Sala, L Moreno-Navarro, Y Vaamonde-Esteban, A Muñoz-Ambit, R Sánchez-Pérez, C Díaz-Marín
{"title":"Epidemiology and molecular characterization of adult genetic myopathies in a southeastern region of Spain.","authors":"P Ros-Arlanzón, L Pelegrín-Durá, C Aledo-Sala, L Moreno-Navarro, Y Vaamonde-Esteban, A Muñoz-Ambit, R Sánchez-Pérez, C Díaz-Marín","doi":"10.33588/rn.7809.2024071","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Genetic myopathies constitute a collection of rare diseases that significantly impact patient functionality and quality of life. Early diagnosis of genetic myopathies can prevent future complications and provide families with genetic counselling. Despite the substantial impact of genetic myopathies on the adult population, the global epidemiology of these disorders is inadequately addressed in the literature.</p><p><strong>Aims: </strong>To enhance understanding of both the epidemiology and genetics of these disorders within the province of Alicante, situated in southeastern Spain.</p><p><strong>Material and methods: </strong>Between 2020 and 2022, a prospective observational study was conducted at the Alicante Health Area-General Hospital, enrolling patients aged 16 years or older with suspected genetic myopathies. Sociodemographic, clinical, and genetic data were collected. The reference date for prevalence calculation was established as December 31, 2022. Official demographic data of the health area were used to set the population at risk.</p><p><strong>Results: </strong>In total, 83 patients were identified with confirmed genetically related myopathy, resulting in an overall prevalence of 29.59 cases per 100,000 inhabitants. The diagnostic yield for molecular genetic testing was found to be 69.16%. The most prevalent genetic myopathies identified included myotonic dystrophy (27.5%), dystrophinopathies (15.7%), and facioscapulohumeral dystrophy (15.7%).</p><p><strong>Conclusion: </strong>The prevalence of GMs can vary considerably depending on the geographical region and the studied population. The analysis of diagnostic yield suggests that genetic studies should be considered useful in the diagnosis of genetic myopathies.</p>","PeriodicalId":21281,"journal":{"name":"Revista de neurologia","volume":"78 9","pages":"239-246"},"PeriodicalIF":0.8000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11407469/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de neurologia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.33588/rn.7809.2024071","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Genetic myopathies constitute a collection of rare diseases that significantly impact patient functionality and quality of life. Early diagnosis of genetic myopathies can prevent future complications and provide families with genetic counselling. Despite the substantial impact of genetic myopathies on the adult population, the global epidemiology of these disorders is inadequately addressed in the literature.
Aims: To enhance understanding of both the epidemiology and genetics of these disorders within the province of Alicante, situated in southeastern Spain.
Material and methods: Between 2020 and 2022, a prospective observational study was conducted at the Alicante Health Area-General Hospital, enrolling patients aged 16 years or older with suspected genetic myopathies. Sociodemographic, clinical, and genetic data were collected. The reference date for prevalence calculation was established as December 31, 2022. Official demographic data of the health area were used to set the population at risk.
Results: In total, 83 patients were identified with confirmed genetically related myopathy, resulting in an overall prevalence of 29.59 cases per 100,000 inhabitants. The diagnostic yield for molecular genetic testing was found to be 69.16%. The most prevalent genetic myopathies identified included myotonic dystrophy (27.5%), dystrophinopathies (15.7%), and facioscapulohumeral dystrophy (15.7%).
Conclusion: The prevalence of GMs can vary considerably depending on the geographical region and the studied population. The analysis of diagnostic yield suggests that genetic studies should be considered useful in the diagnosis of genetic myopathies.