Epidemiologic and phenotypic delineation of Steinert’s myotonic dystrophy
Keywords:
MYOTONIC DYSTROPHY, EIF-2 KINASE, PHENOTYPE, EPIDEMIOLOGY, NEUROMUSCULAR DISEASES.Abstract
Introduction: Steinert’s myotonic dystrophy is a neuromuscular hereditary disease, which global prevalence is 1/8000. It has a very variable clinical expression.
Objective: to delineate the epidemiologic and phenotypic characteristics of Steinert’s myotonic dystrophy.
Methods: a descriptive research was conducted in Pinar del Rio from January 2019 to March 2021. The databases of Clinical Genetics were reviewed, making the genealogies of the individuals with a confirmed diagnosis; an active clinical survey was carried out for all of the blood relative members. Clinical-genetic history and a form including the data of the clinical examination were used as instruments.
Results: the 79,3 % of the cases were diagnosed after the study of their genealogies, where 11 families with 87 members were identified. The prevalence reached 6 and 4,1 x 10 000 inhabitants in Minas de Matahambre and Viñales municipalities respectively and according to the place of birth of these individuals, which have decreased due to the immigration to Pinar del Rio municipality. Between the clinical forms and the type of inheritance, no significant differences were found X2= 12,58 p=0,127220653. Palpebral ptosis and muscular weakness are phenotypically present in 89,6 % and 82,7 % of the individuals.
Conclusions: the epidemiologic and phenotypic delineation during the active survey in families allows carrying out the follow-up and to establish individualized actions which will result in greater satisfaction and quality of life.
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1. Gutiérrez Gutiérrez G, Díaz Manera J, Almendrote M, Azriel S, Eulalio Bárcena J, Cabezudo García P, et al. Guía clínica para el diagnóstico y seguimiento de la distrofia miotónica tipo 1, DM1 o enfermedad de Steinert. Neurología[Internet]. 2020 [citado 14/03/2020]; 35(39): [aprox. 22p.]. Disponible en: https://www.elsevier.es/es-revista-neurologia-295-pdf-S0213485319300192
2. Wei Wanga C, Liang Liua Y. Targeting myotonic dystrophy by preimplantation genetic diagnosis karyomapping. Taiwanese Journal of Obstetrics & Gynecology [Internet]. 2019 [citado 10/01/2019]; 58: [aprox. 4p.]. Disponible en: https://www.sciencedirect.com/science/article/pii/S1028455919302372?via%3Dihub.
3. Roque M, López-Argüelles J, Sánchez-Lozano A, Herrera-Alonso D, Sosa-Águila L, Rodríguez-Ramírez Y. Distrofia miotónica de Steinert en una familia. Presentación de casos. Medisur [Internet]. 2020 [citado 26/03/2020]; 18(1): [aprox. 6 p.]. Disponible en: http://www.medisur.sld.cu/index.php/medisur/article/view/4431
4. Nicholas E. Johnson et al. Consensus-based care recommendations for congenital and childhood-onset myotonic dystrophy type 1. NeurologyClin [Internet]. 2019 oct [citado 11/01/2019]; 9(5): [aprox. 11p.]. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814415/.
5. Charles A. Thornton. Myotonic Dystrophy. NeurolClin [Internet]. 2014 [citado 11/01/2019]; 32(3): [aprox. 14p.]. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105852/pdf/nihms-589998.pdf
6. Pérez-Rosillo MA, Martínez-Barbero JP, Gómez-Huertas M. Utilidad de la resonancia magnética craneal para el diagnóstico de la distrofia miotónica de tipo 1. RevNeurol [Internet]. 2019 [citado 12/01/2019]; 68: [aprox. 2p.]. Disponible en: https://www.neurologia.com/articulo/2018167
7. Galiano-Blancart RF, Navarré- Gimeno A, Sánchez-Cruz V, García-Escrig M, MirandaGozalvo V. Mioclonía palatina asociada a distrofia miotónica de tipo 1. RevNeurol [Internet]. 2018 [citado 11/01/2019]; 68: [aprox. 3p.]. Disponible en: https://www.neurologia.com/articulo/2018359
8. Barbe L, Lanni S, Lopez Castel A, Franck S, Spits C, Keymolen K, et al. CpG methylation, a parent-of-origin effect for maternal-biased transmission of congenital myotonic dystrophy. Am. J. Hum. Genet [Internet]. 2017 [citado 09/01/2019]; 100(3): [aprox. 17p.]. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339342/.
9. Rosado Bartolomé A, GutiérrezGutiérrez G, Sierra Santos L, Sueiro Juste J. Distrofia miotónica de Steinert. Nuevos paradigmas Asistenciales. Cad Aten Primaria [Internet]. 2015 [citado 25/03/2020]; 21(4): [aprox. 5p.]. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=5518707
10. MYOTONIC DYSTROPHY 1. DM1. # 160900 https://omim.org/entry/160900#
11. Álvarez Sintes R. Pesquisa activa. En: Medicina General Integral II. Capítulo 45. La Habana: ECIMED[Internet]. 2014[citado 09/01/2019]: [aprox. 4p.]. http://aulavirtual.sld.cu/pluginfile.php/74420/mod_resource/content/1/medicina_gral_tomo2.pdf
12. LoRusso S, Weiner B, Arnold D. Myotonic Dystrophies: Targeting Therapies for Multisystem Disease. Neurotherapeutics[Internet]. 2018 [citado 09/01/2019]; 15(4): [aprox. 12p.]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/30341596/
13. Hagerman K, Howe S, Heatwole C. The myotonic Muscle Nerve[Internet]. 2019[citado 09/01/2019]; 59(4): [aprox. 12p.]. Disponible en:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590656/
14. Lardoeyt FR. Las migraciones y el flujo génico. En: Bello Álvarez D, eds. Fundamentos de Genética Médica poblacional. La Habana: ECIMED[Internet]. 2016 [citado 09/01/2019]: [aprox. 12p.]. Disponible en: http://www.bvs.sld.cu/libros/fundamento_genetica/cap_14.pdf
15. Erik Landfeldt et al. Disease burden of myotonic dystrophy type 1. JNeurol[Internet]. 2019 [citado 09/01/2019]; 266(4): [aprox. 8p.]. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420885/
16. Wenninger S, Montagnese F, Schoser B. Core Clinical Phenotypes in Myotonic Dystrophies. Front Neurol[Internet]. 2018 [citado 09/01/2019]; 9: [aprox. 4p.]. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5941986/
17. Thomas D Bird MD. Myotonic Dystrophy Type 1. GeneReviews [Internet]. 2019 [citado 20/03/2020]; 17: [aprox. 10p.]. Disponible en: https://www.ncbi.nlm.nih.gov/books/NBK1165/
18. DystrophiaMyotonica, Steinert Disease, DM1. Baltimore: Johns Hopkins University. 2020 [citado 20/03/2020]. Disponible en: https://www.omim.org/entry/160900
19. Informes Periódicos de Orphanet. Prevalencia de las enfermedades raras: Datos bibliográficos Inserm [Internet]. 2020 [citado 20/02/2020]; 2: [aprox. 57 p.]. Disponible en: https://www.orpha.net/orphacom/cahiers/docs/ES/Prevalencia_de_las_enfermedades_raras_por_prevalencia_decreciente_o_casos.pdf
20. Sánchez C, Villares L, Domínguez M. Mateo S, Hernández F. Enfermedad de Steinert congénita, la forma más grave de distrofia miotónica tipo 1. Bol pediatr[Internet]. 2017 [citado 09/01/2019]; 57: [aprox. 3p.]. Disponible en: http://sccalp.org/uploads/bulletin_article/pdf_version/1505/BolPediatr2017_57_307-310.pdf
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