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Erro ME, Arrondo P, Gastón I, Clavero P, de Gordoa JSR, Martí Andrés G, Valentí R, Delfrade J, Vicente E. Epidemiologic and clinical features of multisystem atrophy: a population-based study in Navarre, Spain. J Neurol 2024; 271:6647-6654. [PMID: 39136751 DOI: 10.1007/s00415-024-12561-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 06/27/2024] [Accepted: 07/04/2024] [Indexed: 10/04/2024]
Abstract
BACKGROUND Epidemiological studies on multisystem atrophy (MSA) are scarce. Our aim has been to analyse 10-year incidence, point prevalence, survival, and the time to diagnosis of MSA in Navarre, a northern Spanish region. METHODS This is a population-based observational retrospective study, from 2012 to 2021, which covered the population of Navarre (followed until 31 December 2021). Data from various sources of health information were reviewed in order to identify all potential diagnoses of MSA, that were validated from medical records. Patients were included if they fulfilled the new Movement Disorder Society criteria. RESULTS We observed a crude average annual incidence rate (IR) of 0.49/100,000 person-years, with the highest occurring in the age group of 60-69 years. No significant IR differences by sex or subtype were observed. Point prevalence in December 2021 was 2.43/100,000 inhabitants. Joinpoint analysis for global incidence and prevalence experienced stable annual rates during the whole period, showing an upward trend for prevalence without a statistically significant slop. The median age at symptom onset was 65 years (range 47-76). The median time to diagnosis was 36 months, without statistically significant differences between sex, age at diagnosis or subtypes. Median time of survival from clinical onset was 7 years. Age of onset above 70 years and autonomic onset were associated with reduced survival. CONCLUSIONS This is the first population-based epidemiological study on MSA in Spain. It provides detailed incidence and prevalence data for MSA that may be useful for appropriate management of health resources.
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Affiliation(s)
- M E Erro
- Department of Neurology, Hospital Universitario de Navarra, C/Irunlarrea 3, 31008, Pamplona, Navarra, Spain.
- Epigenetic Group, NavarraBiomed, Pamplona, Spain.
- Navarra Institute for Health Research (IdisNA), Pamplona, Spain.
| | - P Arrondo
- Epigenetic Group, NavarraBiomed, Pamplona, Spain
| | - I Gastón
- Department of Neurology, Hospital Universitario de Navarra, C/Irunlarrea 3, 31008, Pamplona, Navarra, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Spain
| | - P Clavero
- Department of Neurology, Hospital Universitario de Navarra, C/Irunlarrea 3, 31008, Pamplona, Navarra, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Spain
| | - J Sánchez Ruiz de Gordoa
- Department of Neurology, Hospital Universitario de Navarra, C/Irunlarrea 3, 31008, Pamplona, Navarra, Spain
- Epigenetic Group, NavarraBiomed, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Spain
| | - G Martí Andrés
- Department of Neurology, Hospital Universitario de Navarra, C/Irunlarrea 3, 31008, Pamplona, Navarra, Spain
| | - R Valentí
- Department of Neurology, Clínica San Miguel, Pamplona, Spain
| | - J Delfrade
- Navarra Institute for Health Research (IdisNA), Pamplona, Spain
- Navarra Community Health Observatory Section, (ISPLN), Pamplona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - E Vicente
- Navarra Institute for Health Research (IdisNA), Pamplona, Spain
- Navarra Community Health Observatory Section, (ISPLN), Pamplona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
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2
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Machado R, Costa C, Fineza I, Ribeiro JA. Prevalence and Classification of Pediatric Neuromuscular Disorders in the Central Region of Portugal. J Child Neurol 2024; 39:233-240. [PMID: 39090974 DOI: 10.1177/08830738241256154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Neuromuscular disorders are a group of rare heterogenous diseases with profound impact on quality of life, for which overall pediatric prevalence has rarely been reported. The purpose of this study was to determine the point prevalence of pediatric neuromuscular disorders and its subcategories in the central region of Portugal. Retrospective case identification was carried out in children with neuromuscular disorders seen between 1998 and 2020 from multiple data sources. Demographics, clinical and molecular diagnoses were registered. On January 1, 2020, the point overall prevalence in the population <18 years of age was 41.20/100 000 (95% confidence interval 34.51-49.19) for all neuromuscular disorders. The main case proportion were genetic disorders (95.7%). We found a relatively higher occurrence of limb-girdle muscular dystrophies, congenital myopathies, and spinal muscular atrophy and a slightly lower occurrence of Duchenne muscular dystrophy, hereditary spastic paraparesis, and acquired neuropathies compared to previous studies in other countries. Molecular confirmation was available in 69.5% of pediatric neuromuscular patients in our cohort.Total prevalence is high in comparison with the data reported in the only previous study on the prevalence of pediatric neuromuscular disorders in our country. Our high definitive diagnostic rate underscores the importance of advances in investigative genetic techniques, particularly new sequencing technologies, in the diagnostic workup of neuromuscular patients.
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Affiliation(s)
- Rita Machado
- Neurology Department, Hospital Universitário de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Carmen Costa
- Neuropediatrics, Centro de Desenvolvimento da Criança, Hospital Pediátrico de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Isabel Fineza
- Neuropediatrics, Centro de Desenvolvimento da Criança, Hospital Pediátrico de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Joana Afonso Ribeiro
- Neuropediatrics, Centro de Desenvolvimento da Criança, Hospital Pediátrico de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
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Lee CL, Chuang CK, Chiu HC, Chang YH, Tu YR, Lo YT, Lin HY, Lin SP. Application of whole exome sequencing in the diagnosis of muscular disorders: a study of Taiwanese pediatric patients. Front Genet 2024; 15:1365729. [PMID: 38818036 PMCID: PMC11137626 DOI: 10.3389/fgene.2024.1365729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/23/2024] [Indexed: 06/01/2024] Open
Abstract
Background Muscular dystrophies and congenital myopathies encompass various inherited muscular disorders that present diagnostic challenges due to clinical complexity and genetic heterogeneity. Methods This study aimed to investigate the use of whole exome sequencing (WES) in diagnosing muscular disorders in pediatric patients in Taiwan. Out of 161 pediatric patients suspected to have genetic/inherited myopathies, 115 received a molecular diagnosis through conventional tests, single gene testing, and gene panels. The remaining 46 patients were divided into three groups: Group 1 (multiplex ligation-dependent probe amplification-negative Duchenne muscular dystrophy) with three patients (6.5%), Group 2 (various forms of muscular dystrophies) with 21 patients (45.7%), and Group 3 (congenital myopathies) with 22 patients (47.8%). Results WES analysis of these groups found pathogenic variants in 100.0% (3/3), 57.1% (12/21), and 68.2% (15/22) of patients in Groups 1 to 3, respectively. WES had a diagnostic yield of 65.2% (30 patients out of 46), detecting 30 pathogenic or potentially pathogenic variants across 28 genes. Conclusion WES enables the diagnosis of rare diseases with symptoms and characteristics similar to congenital myopathies and muscular dystrophies, such as muscle weakness. Consequently, this approach facilitates targeted therapy implementation and appropriate genetic counseling.
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Affiliation(s)
- Chung-Lin Lee
- Department of Pediatrics, MacKay Memorial Hospital, Taipei, Taiwan
- Institute of Clinical Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
- Department of Rare Disease Center, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
- Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan
| | - Chih-Kuang Chuang
- Division of Genetics and Metabolism, Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
- College of Medicine, Fu-Jen Catholic University, Taipei, Taiwan
| | - Huei-Ching Chiu
- Department of Pediatrics, MacKay Memorial Hospital, Taipei, Taiwan
| | - Ya-Hui Chang
- Department of Pediatrics, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Rare Disease Center, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yuan-Rong Tu
- Division of Genetics and Metabolism, Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yun-Ting Lo
- Department of Rare Disease Center, MacKay Memorial Hospital, Taipei, Taiwan
| | - Hsiang-Yu Lin
- Department of Pediatrics, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Rare Disease Center, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
- Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan
- Division of Genetics and Metabolism, Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Shuan-Pei Lin
- Department of Pediatrics, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Rare Disease Center, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
- Division of Genetics and Metabolism, Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Infant and Child Care, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
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Ros-Arlanzón P, Pelegrín-Durá L, Aledo-Sala C, Moreno-Navarro L, Vaamonde-Esteban Y, Muñoz-Ambit A, Sánchez-Pérez R, Díaz-Marín C. Epidemiology and molecular characterization of adult genetic myopathies in a southeastern region of Spain. Rev Neurol 2024; 78:239-246. [PMID: 38682761 PMCID: PMC11407469 DOI: 10.33588/rn.7809.2024071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
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.
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Affiliation(s)
- P Ros-Arlanzón
- Hospital General Universitario Dr. Balmis, Alicante, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
| | | | - C Aledo-Sala
- Hospital General Universitario Dr. Balmis, Alicante, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
| | - L Moreno-Navarro
- Hospital General Universitario Dr. Balmis, Alicante, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
| | - Y Vaamonde-Esteban
- Hospital General Universitario Dr. Balmis, Alicante, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
| | - A Muñoz-Ambit
- Hospital General Universitario Dr. Balmis, Alicante, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
| | - R Sánchez-Pérez
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
- Hospital General Universitario Dr. Balmis, Alicante, España
| | - C Díaz-Marín
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España
- Hospital General Universitario Dr. Balmis, Alicante, España
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Hernáez L, Zoni AC, Domínguez-Berjón MF, Esteban-Vasallo MD, Domínguez-González C, Serrano P. Prevalence of Steinert's Myotonic Dystrophy and Utilization of Healthcare Services: A Population-Based Cross-Sectional Study. Healthcare (Basel) 2024; 12:838. [PMID: 38667600 PMCID: PMC11050373 DOI: 10.3390/healthcare12080838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/01/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Myotonic dystrophy type I (MDI) is the most common muscular dystrophy in adults. The main objectives of this study were to determine the prevalence of MDI in the Community of Madrid (CM) (Spain) and to analyze the use of public healthcare services; a population-based cross-sectional descriptive study was carried out on patients with MDI in CM and data were obtained from a population-based registry (2010-2017). A total of 1101 patients were studied (49.1% women) with average age of 47.8 years; the prevalence of MDI was 14.4/100,000 inhabitants. In the women lineal regression model for hospital admissions, being in the fourth quartile of the deprivation index, was a risk factor (regression coef (rc): 0.80; 95%CI 0.25-1.37). In the overall multiple lineal regression model for primary health care (PHC) attendance, being a woman increased the probability of having a higher number of consultations (rc: 3.99; 95%CI: 3.95-5.04), as did being in the fourth quartile of the deprivation index (rc: 2.10; 95%CI: 0.58-3.63); having received influenza vaccines was a protective factor (rc: -0.46; 95%CI: -0.66-(-0.25)). The prevalence of MDI in the CM is high compared to other settings. Moreover, having any level of risk stratification of becoming ill (high, medium or low) has a positive association with increased PHC consultations and hospital admissions.
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Affiliation(s)
- Leticia Hernáez
- Nursing Department, Faculty of Medicine, Universidad Autónoma de Madrid, 28040 Madrid, Spain; (L.H.); (P.S.)
| | - Ana Clara Zoni
- Subdirección General de Información Sanitaria, Ministry of Health, 28071 Madrid, Spain
| | - María-Felicitas Domínguez-Berjón
- Technical Unit for Health Status Report and Registries, Subdirección General de Vigilancia en Salud Pública, Dirección General de Salud Pública, 28040 Madrid, Spain; (M.-F.D.-B.); (M.D.E.-V.)
| | - María D. Esteban-Vasallo
- Technical Unit for Health Status Report and Registries, Subdirección General de Vigilancia en Salud Pública, Dirección General de Salud Pública, 28040 Madrid, Spain; (M.-F.D.-B.); (M.D.E.-V.)
| | - Cristina Domínguez-González
- Department of Neurology, Research Institute (imas12), Hospital Universitario 12 de Octubre, 28041 Madrid, Spain;
| | - Pilar Serrano
- Nursing Department, Faculty of Medicine, Universidad Autónoma de Madrid, 28040 Madrid, Spain; (L.H.); (P.S.)
- Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), 28222 Majadahonda, Spain
- Instituro Interuniversitario “Investigación Avanzada sobre Evaluación de la Ciencia y la Universidad” (INAECU), 28903 Madrid, Spain
- Grupo de Investigación UAM “Vulnerabilidad Social, Cuidados y Salud” (GIVulneSCare), 28040 Madrid, Spain
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Kang PB, Jorand-Fletcher M, Zhang W, McDermott SW, Berry R, Chambers C, Wong KN, Mohamed Y, Thomas S, Venkatesh YS, Westfield C, Whitehead N, Johnson NE. Genetic Patterns of Selected Muscular Dystrophies in the Muscular Dystrophy Surveillance, Tracking, and Research Network. Neurol Genet 2023; 9:e200113. [PMID: 38045992 PMCID: PMC10692796 DOI: 10.1212/nxg.0000000000200113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/29/2023] [Indexed: 12/05/2023]
Abstract
Background and Objectives To report the genetic etiologies of Emery-Dreifuss muscular dystrophy (EDMD), limb-girdle muscular dystrophy (LGMD), congenital muscular dystrophy (CMD), and distal muscular dystrophy (DD) in 6 geographically defined areas of the United States. Methods This was a cross-sectional, population-based study in which we studied the genes and variants associated with muscular dystrophy in individuals who were diagnosed with and received care for EDMD, LGMD, CMD, and DD from January 1, 2008, through December 31, 2016, in the 6 areas of the United States covered by the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet). Variants of unknown significance (VUSs) from the original genetic test reports were reanalyzed for changes in interpretation. Results Among 243 individuals with definite or probable muscular dystrophy, LGMD was the most common diagnosis (138 cases), followed by CMD (62 cases), DD (22 cases), and EDMD (21 cases). There was a higher proportion of male individuals compared with female individuals, which persisted after excluding X-linked genes (EMD) and autosomal genes reported to have skewed gender ratios (ANO5, CAV3, and LMNA). The most common associated genes were FKRP, CAPN3, ANO5, and DYSF. Reanalysis yielded more definitive variant interpretations for 60 of 144 VUSs, with a mean interval between the original clinical genetic test of 8.11 years for all 144 VUSs and 8.62 years for the 60 reclassified variants. Ten individuals were found to have monoallelic pathogenic variants in genes known to be primarily recessive. Discussion This study is distinct for being an examination of 4 types of muscular dystrophies in selected geographic areas of the United States. The striking proportion of resolved VUSs demonstrates the value of periodic re-examinations of these variants. Such re-examinations will resolve some genetic diagnostic ambiguities before initiating repeat testing or more invasive diagnostic procedures such as muscle biopsy. The presence of monoallelic pathogenic variants in recessive genes in our cohort indicates that some individuals with muscular dystrophy continue to face incomplete genetic diagnoses; further refinements in genetic knowledge and diagnostic approaches will optimize diagnostic information for these individuals.
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Affiliation(s)
- Peter B Kang
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Magali Jorand-Fletcher
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Wanfang Zhang
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Suzanne W McDermott
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Reba Berry
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Chelsea Chambers
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Kristen N Wong
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Yara Mohamed
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Shiny Thomas
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Y Swamy Venkatesh
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Christina Westfield
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Nedra Whitehead
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
| | - Nicholas E Johnson
- From the Paul & Sheila Wellstone Muscular Dystrophy Center (P.B.K.), Department of Neurology, and Institute for Translational Neuroscience, University of Minnesota, Minneapolis; Department of Pediatrics (M.J.-F., Y.M.), University of Florida College of Medicine, Gainesville; Department of Epidemiology and Biostatistics (W.Z.), University of South Carolina, Columbia; Department of Environmental, Occupational, and Geospatial Health Sciences (S.W.M.), Graduate School of Public Health and Health Policy, City University of New York; Division of Population Health Surveillance (R.B., C.W.), Bureau of Maternal and Child Health, South Carolina Department of Health and Environmental Control, Columbia; Department of Human and Molecular Genetics (C.C.), Virginia Commonwealth University, Richmond; Department of Pediatrics (K.N.W.), University of Utah, Salt Lake City; New York State Department of Health (S.T.), Albany; Department of Neurology (Y.S.V.), University of South Carolina, Columbia; RTI International (N.W.), Research Triangle Park, NC; and Department of Neurology (N.E.J.), Virginia Commonwealth University, Richmond
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7
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Sánchez Marín JP, Sienes Bailo P, Lahoz Alonso R, Capablo Liesa JL, Gazulla Abio J, Giménez Muñoz JA, Modrego Pardo PJ, Pardiñas Barón B, Izquierdo Álvarez S. Myotonic dystrophy type 1: 13 years of experience at a tertiary hospital. Clinical and epidemiological study and genotype-phenotype correlation. Neurologia 2023; 38:530-540. [PMID: 37437658 DOI: 10.1016/j.nrleng.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 02/08/2021] [Indexed: 07/14/2023] Open
Abstract
INTRODUCTION The incidence of myotonic dystrophy type 1 (DM1), a disease with great phenotypic variety, in our region is unknown. This study aims to estimate the incidence of DM1 at our hospital (a reference centre in Aragon, Spain) and to identify the characteristics of our population (genotype-phenotype correlation). METHODS Retrospective, descriptive study of 459 patients classified according to the number of CTG repeats, as follows: normal (5-35), premutation (36-50), protomutation (51-80), small expansions (81-150), intermediate expansions (151-1000), and large expansions (> 1000). Furthermore, according to clinical phenotype, patients were categorised as unaffected (5-50 CTG repeats), mild form or asymptomatic (51-150), classical form (151-1000), and severe form (> 1000). RESULTS The incidence of DM1 was 20.61 cases per million person-years (95% CI, 19.59-21.63). An inverse correlation was observed between the number of CTG repeats and the age at genetic diagnosis (ρ = -0.547; 95% CI, -0.610 to -0.375; P < .001). CTG5 was the most frequent polymorphic allele in healthy individuals. Of all patients with DM1, 28.3% presented the mild or asymptomatic form, 59.1% the classical form, and 12.6% the severe form. Inheritance was maternal in 35.1% of cases, paternal in 59.4%, and uncertain in 5.5%. In mild forms, frontal balding in men was the most prevalent phenotypic trait, as well as myotonia and cataracts, while in the classical form, ptosis, facial weakness, voice and pronunciation alterations, myotonia, and fatigue/sleepiness were most frequent. CONCLUSIONS The incidence of DM1 in Aragon is significant. Multidisciplinary study of the phenotype of patients with DM1 is key to early diagnosis and personalised management.
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Affiliation(s)
- J P Sánchez Marín
- Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - P Sienes Bailo
- Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, Spain.
| | - R Lahoz Alonso
- Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - J L Capablo Liesa
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - J Gazulla Abio
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, Spain; Neurología, Centro Médico de Especialidades Ramón y Cajal, Zaragoza, Spain
| | | | - P J Modrego Pardo
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - B Pardiñas Barón
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - S Izquierdo Álvarez
- Sección de Genética Clínica, Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, Spain
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8
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Johnston K, Casstevens C, Patel VP, Merikle E, Presnall C, Audhya I. Concept Elicitation Interviews and Conceptual Model to Understand the Patient Experience of Limb Girdle Muscular Dystrophy. Adv Ther 2023; 40:2296-2310. [PMID: 36917428 PMCID: PMC10130098 DOI: 10.1007/s12325-023-02463-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 02/15/2023] [Indexed: 03/16/2023]
Abstract
INTRODUCTION Limb girdle muscular dystrophies (LGMDs) are a group of rare and heterogeneous disorders involving progressive wasting of shoulder and pelvic girdle musculature. This study aimed to generate qualitative evidence on patient and caregiver experiences with symptoms and impacts of LGMD on overall function and daily life for sarcoglycanopathy subtypes 2C/R5, 2D/R3, and 2E/R4. METHODS Twenty-three individuals with LGMD with (n = 5) or without (n = 18) a caregiver participated in 60-minute semi-structured video interviews. Interview transcripts were analyzed using thematic analysis. Differences in patient experience by ambulation status and LGMD subtype were examined. RESULTS Participants were ambulatory (n = 14) and non-ambulatory (n = 9), representing three subtypes: 2C/R5 (n = 4), 2D/R3 (n = 12), and 2E/R4 (n = 7), with mean age of 34.8 years (SD = 16.08). 56.5% identified as female. Conceptual saturation was achieved within 18/23 interviews. Ambulatory participants identified difficulty with complex physical activities, e.g., running (n = 11, 78.6%), physical strength (n = 14, 100%), and difficulty with transfers, e.g., difficulty getting off the floor (n = 10, 71.4%). All non-ambulatory participants discussed problems with activities of daily living (ADLs) and transfers, e.g., getting in/out of bed and upper extremity function, particularly reaching (n = 8, 88.9%) and fine motor skills (n = 6, 66.7%). Fatigue and pain were reported by the majority of participants (n = 16, 69.6% and n = 19, 82.6%, respectively). A conceptual disease model was developed illustrating symptoms and impacts and their relationships to disease stage, capturing the patient experience across LGMD disease trajectory. CONCLUSIONS This study contributes to the limited evidence describing the patient experience of living with LGMD. The conceptual model can inform patient-centered assessment in future LGMD clinical trials.
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9
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Summa S, Ittiwut C, Kulsirichawaroj P, Paprad T, Likasitwattanakul S, Sanmaneechai O, Boonsimma P, Suphapeetiporn K, Shotelersuk V. Utilisation of exome sequencing for muscular disorders in Thai paediatric patients: diagnostic yield and mutational spectrum. Sci Rep 2023; 13:1376. [PMID: 36697461 PMCID: PMC9876991 DOI: 10.1038/s41598-023-28405-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
Muscular dystrophies and congenital myopathies are heterogeneous groups of inherited muscular disorders. An accurate diagnosis is challenging due to their complex clinical presentations and genetic heterogeneity. This study aimed to determine the utilisation of exome sequencing (ES) for Thai paediatric patients with muscular disorders. Of 176 paediatric patients suspected of genetic/inherited myopathies, 133 patients received a molecular diagnosis after performing conventional investigations, single gene testing, and gene panels. The remaining 43 patients from 42 families could be classified into three groups: Group 1, MLPA-negative Duchenne muscular dystrophy (DMD) with 9 patients (9/43; 21%), Group 2, other muscular dystrophies (MD) with 18 patients (18/43; 42%) and Group 3, congenital myopathies (CM) with 16 patients (16/43; 37%). All underwent exome sequencing which could identify pathogenic variants in 8/9 (89%), 14/18 (78%), and 8/16 (50%), for each Group, respectively. Overall, the diagnostic yield of ES was 70% (30/43) and 36 pathogenic/likely pathogenic variants in 14 genes were identified. 18 variants have never been previously reported. Molecular diagnoses provided by ES changed management in 22/30 (73%) of the patients. Our study demonstrates the clinical utility and implications of ES in inherited myopathies.
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Affiliation(s)
- Sarinya Summa
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.,Department of Paediatrics, Samutprakan Hospital, Samutprakan, 10270, Thailand
| | - Chupong Ittiwut
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Pimchanok Kulsirichawaroj
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.,Department of Paediatrics, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, 10300, Thailand
| | - Tanitnun Paprad
- Division of Neurology, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Surachai Likasitwattanakul
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Oranee Sanmaneechai
- Department of Paediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
| | - Ponghatai Boonsimma
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand. .,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand.
| | - Kanya Suphapeetiporn
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.,Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330, Thailand
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10
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Intergenerational Influence of Gender and the DM1 Phenotype of the Transmitting Parent in Korean Myotonic Dystrophy Type 1. Genes (Basel) 2022; 13:genes13081465. [PMID: 36011377 PMCID: PMC9408469 DOI: 10.3390/genes13081465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/11/2022] [Accepted: 08/15/2022] [Indexed: 11/18/2022] Open
Abstract
Myotonic dystrophy type 1 (DM1) is the most common autosomal-dominant disorder caused by the CTG repeat expansion of the DMPK, and it has been categorized into three phenotypes: mild, classic, and congenital DM1. Here, we reviewed the intergenerational influence of gender and phenotype of the transmitting parent on the occurrence of Korean DM1. A total of 44 parent–child pairs matched for the gender of the transmitting parent and the affected child and 29 parent–child pairs matched for the gender and DM1 phenotype of the transmitting parent were reviewed. The CTG repeat size of the DMPK in the affected child was found to be significantly greater when transmitted by a female parent to a female child (DM1-FF) (median, 1309 repeats; range, 400–2083) than when transmitted by a male parent to a male child (650; 160–1030; p = 0.038 and 0.048 using the Tukey HSD and the Bonferroni test) or by a male parent to a female child (480; 94–1140; p = 0.003). The difference in the CTG repeat size of the DMPK between the transmitting parent and the affected child was also lower when transmitted from a male parent with classic DM1 (−235; −280 to 0) compared to when it was transmitted from a female parent with mild DM1 (866; 612–905; p = 0.015 and 0.019) or from a female parent with classic DM1 (DM1-FC) (605; 10–1393; p = 0.005). This study highlights that gender and the DM1 phenotype of the transmitting parent had an impact on the CTG repeat size of the DMPK in the affected child, with greater increases being inherited from the DM1-FF or DM1-FC situations in Korean DM1.
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11
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A population-based study of mortality due to muscular dystrophies across a 36-year period in Spain. Sci Rep 2022; 12:3750. [PMID: 35260676 PMCID: PMC8904487 DOI: 10.1038/s41598-022-07814-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 02/22/2022] [Indexed: 12/02/2022] Open
Abstract
Muscular dystrophies (MD) are a group of rare hereditary degenerative diseases. Our aim was to analyze the mortality pattern in Spain from 1981 to 2016 to assess the temporal trend and discern possible geographic differences using population-based data. Annual deaths related to MD were obtained from the National Statistics Institute with codes 359.1 of the ICD-9 (1981–1998) and G71.0 of the ICD-10 (1999–2016). Age-adjusted mortality rates were calculated and changes in mortality trends were identified. The standardized mortality ratios (SMR) and their respective 95% confidence intervals were calculated by district for 1999–2016. Smoothed SMRs and posterior probability were also assessed and then mapped to look for patterns or geographic distribution. All rates were expressed per 1,000,000 inhabitants. A total of 2,512 deaths (73.8% men) were identified. The age-adjusted mortality rates varied from 0.63 (95% CI 0.40–0.95) in 1981 to 1.51 (95% CI 1.17–1.93) in 2016. MD mortality showed a significant increase of 8.81% per year (95% CI 5.0–12.7) from 1981 to 1990, remaining stable afterwards. Areas with risk of death higher than expected for Spain as a whole were identified, not showing a specific regional pattern. In conclusion, the rising trend in MD mortality might be attributable to advanced improvements in diagnostic techniques leading to a rise in prevalence. Further research on the districts with the highest mortality would be necessary.
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12
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Huang K, Bi FF, Yang H. Corrigendum: A Systematic Review and Meta-Analysis of the Prevalence of Congenital Myopathy. Front Neurol 2022; 13:857959. [PMID: 35237233 PMCID: PMC8884115 DOI: 10.3389/fneur.2022.857959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 01/19/2022] [Indexed: 11/28/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fneur.2021.761636.].
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Affiliation(s)
- Kun Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China,Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Fang-Fang Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China,*Correspondence: Fang-Fang Bi
| | - Huan Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China,Huan Yang
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13
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Flabeau O, Bisson T. [Multidisciplinary care of patients with Myotonic Dystrophy type 1 (DM1) in South Aquitaine]. Med Sci (Paris) 2021; 37 Hors série n° 1:32-35. [PMID: 34878392 DOI: 10.1051/medsci/2021190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
DM1 is characterized by a multisystemic involvement. Our objective was to determine the proportion of adequate follow-up for each affected organ in DM1 patients based on the recently published American and Spanish recommendations. To this end, we conducted a descriptive cross-sectional survey by phone in adult, genetically proven DM1 patients followed in the two French neuromuscular centers of Bayonne and Hendaye located in South Aquitaine, France. The questionnaire selected the most stringent criteria of the two international recommendations for each item of follow-up. Seventy-three patients were included, 55% of which were women (mean age of 48 years) with an average number of 467 CTG repeats. The proportion of patients receiving clinical follow-up in accordance with the recommendations was 90% in cardiology, 60% in neurology, 68% in ophthalmology, 53% in physiotherapy, 23% in pneumology, and 12% in rehabilitation. The high rate of neurological, cardiological, and ophthalmological monitoring might be explained by a locally dense medical demography whereas low rate of respiratory follow up and rehabilitation may reflect an incomplete knowledge of both the disease and the questionnaire. These results should be carefully interpretated as cognitive status may influence such a declarative study. Our study nevertheless disclosed important disparities according to the recommended multidisciplinary follow-up criteria in this French cohort of adult DM1 patients. These results highlight the major role of a multidisciplinary care and monitoring in DM1.
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Affiliation(s)
- Olivier Flabeau
- Centre de Compétence des Maladies Neuromusculaires de Bayonne, France - Centre de Compétence des Maladies Neuromusculaires de Hendaye, France
| | - Thomas Bisson
- Centre de Compétence des Maladies Neuromusculaires de Bayonne, France
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14
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Huang K, Bi FF, Yang H. A Systematic Review and Meta-Analysis of the Prevalence of Congenital Myopathy. Front Neurol 2021; 12:761636. [PMID: 34795634 PMCID: PMC8592924 DOI: 10.3389/fneur.2021.761636] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 10/04/2021] [Indexed: 01/15/2023] Open
Abstract
Background: Congenital myopathy constitutes a heterogeneous group of orphan diseases that are mainly classified on the basis of muscle biopsy findings. This study aims to estimate the prevalence of congenital myopathy through a systematic review and meta-analysis of the literature. Methods: The PubMed, MEDLINE, Web of Science, and Cochrane Library databases were searched for original research articles published in English prior to July 30, 2021. The quality of the included studies was assessed by a checklist adapted from STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). To derive the pooled epidemiological prevalence estimates, a meta-analysis was performed using the random effects model. Heterogeneity was assessed using the Cochrane Q statistic as well as the I2 statistic. Results: A total of 11 studies were included in the systematic review and meta-analysis. Of the 11 studies included, 10 (90.9%) were considered medium-quality, one (9.1%) was considered low-quality, and no study was assessed as having a high overall quality. The pooled prevalence of congenital myopathy in the all-age population was 1.62 (95% CI, 1.13–2.11) per 100,000, while the prevalence in the child population was 2.76 (95% CI, 1.34–4.18) per 100,000. In the pediatric population, the prevalence among males was 2.92 (95% CI, −1.70 to 7.55) per 100,000, while the prevalence among females was 2.47 (95% CI, −1.67 to 6.61) per 100,000. The prevalence estimates of the all-age population per 100,000 were 0.20 (95% CI 0.10–0.35) for nemaline myopathy, 0.37 (95% CI 0.21–0.53) for core myopathy, 0.08 (95% CI −0.01 to 0.18) for centronuclear myopathy, 0.23 (95% CI 0.04–0.42) for congenital fiber-type disproportion myopathy, and 0.34 (95% CI, 0.24–0.44) for unspecified congenital myopathies. In addition, the prevalence estimates of the pediatric population per 100,000 were 0.22 (95% CI 0.03–0.40) for nemaline myopathy, 0.46 (95% CI 0.03–0.90) for core myopathy, 0.44 (95% CI 0.03–0.84) for centronuclear myopathy, 0.25 (95% CI −0.05 to 0.54) for congenital fiber-type disproportion myopathy, and 2.63 (95% CI 1.64–3.62) for unspecified congenital myopathies. Conclusions: Accurate estimates of the prevalence of congenital myopathy are fundamental to supporting public health decision-making. The high heterogeneity and the lack of high-quality studies highlight the need to conduct higher-quality studies on orphan diseases.
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Affiliation(s)
- Kun Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Fang-Fang Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Huan Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
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15
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Nicolau S, Milone M, Liewluck T. Guidelines for genetic testing of muscle and neuromuscular junction disorders. Muscle Nerve 2021; 64:255-269. [PMID: 34133031 DOI: 10.1002/mus.27337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 05/28/2021] [Indexed: 12/24/2022]
Abstract
Despite recent advances in the understanding of inherited muscle and neuromuscular junction diseases, as well as the advent of a wide range of genetic tests, patients continue to face delays in diagnosis of sometimes treatable disorders. These guidelines outline an approach to genetic testing in such disorders. Initially, a patient's phenotype is evaluated to identify myopathies requiring directed testing, including myotonic dystrophies, facioscapulohumeral muscular dystrophy, oculopharyngeal muscular dystrophy, mitochondrial myopathies, dystrophinopathies, and oculopharyngodistal myopathy. Initial investigation in the remaining patients is generally a comprehensive gene panel by next-generation sequencing. Broad panels have a higher diagnostic yield and can be cost-effective. Due to extensive phenotypic overlap and treatment implications, genes responsible for congenital myasthenic syndromes should be included when evaluating myopathy patients. For patients whose initial genetic testing is negative or inconclusive, phenotypic re-evaluation is warranted, along with consideration of genes and variants not included initially, as well as their acquired mimickers.
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Affiliation(s)
- Stefan Nicolau
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Teerin Liewluck
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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16
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Abstract
The limb-girdle muscular dystrophies (LGMD) are a collection of genetic diseases united in their phenotypical expression of pelvic and shoulder area weakness and wasting. More than 30 subtypes have been identified, five dominant and 26 recessive. The increase in the characterization of new genotypes in the family of LGMDs further adds to the heterogeneity of the disease. Meanwhile, better understanding of the phenotype led to the reconsideration of the disease definition, which resulted in eight old subtypes to be no longer recognized officially as LGMD and five new diseases to be added to the LGMD family. The unique variabilities of LGMD stem from genetic mutations, which then lead to protein and ultimately muscle dysfunction. Herein, we review the LGMD pathway, starting with the genetic mutations that encode proteins involved in muscle maintenance and repair, and including the genotype–phenotype relationship of the disease, the epidemiology, disease progression, burden of illness, and emerging treatments.
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17
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Sánchez Marín JP, Sienes Bailo P, Lahoz Alonso R, Capablo Liesa JL, Gazulla Abio J, Giménez Muñoz JA, Modrego Pardo PJ, Pardiñas Barón B, Izquierdo Álvarez S. Myotonic dystrophy type1: 13years of experience at a tertiary hospital. Clinical and epidemiological study and genotype-phenotype correlation. Neurologia 2021; 38:S0213-4853(21)00050-5. [PMID: 33972121 DOI: 10.1016/j.nrl.2021.02.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 02/04/2021] [Accepted: 02/08/2021] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION The incidence of myotonic dystrophy type1 (DM1), a disease with great phenotypic variety, in our region is unknown. This study aims to estimate the incidence of DM1 at our hospital (a reference centre in Aragon, Spain) and to identify the characteristics of our population (genotype-phenotype correlation). METHODS Retrospective, descriptive study of 459 patients classified according to the number of CTG repeats, as follows: normal (5-35), premutation (36-50), protomutation (51-80), small expansions (81-150), intermediate expansions (151-1000), and large expansions (>1000). Furthermore, according to clinical phenotype, patients were categorised as unaffected (5-50 CTG repeats), mild form or asymptomatic (51-150), classical form (151-1000), and severe form (>1000). RESULTS The incidence of DM1 was 20.61 cases per million person-years (95%CI: 19.59-21.63). An inverse correlation was observed between the number of CTG repeats and the age at genetic diagnosis (ρ=-0.547; 95%CI: -0.610 to -0.375; P<.001). CTG5 was the most frequent polymorphic allele in healthy individuals. Of all patients with DM1, 28.3% presented the mild or asymptomatic form, 59.1% the classical form, and 12.6% the severe form. Inheritance was maternal in 35.1% of cases, paternal in 59.4%, and uncertain in 5.5%. In mild forms, frontal balding in men was the most prevalent phenotypic trait, as well as myotonia and cataracts, while in the classical form, ptosis, facial weakness, voice and pronunciation alterations, myotonia, and fatigue/sleepiness were most frequent. CONCLUSIONS The incidence of DM1 in Aragon is significant. Multidisciplinary study of the phenotype of patients with DM1 is key to early diagnosis and personalised management.
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Affiliation(s)
- J P Sánchez Marín
- Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, España
| | - P Sienes Bailo
- Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, España.
| | - R Lahoz Alonso
- Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, España
| | - J L Capablo Liesa
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, España
| | - J Gazulla Abio
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, España; Neurología, Centro Médico de Especialidades Ramón y Cajal, Zaragoza, España
| | | | - P J Modrego Pardo
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, España
| | - B Pardiñas Barón
- Servicio de Neurología, Hospital Universitario Miguel Servet, Zaragoza, España
| | - S Izquierdo Álvarez
- Sección de Genética Clínica, Servicio de Bioquímica Clínica, Hospital Universitario Miguel Servet, Zaragoza, España
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Jericó I, Elizalde-Beiras I, Pagola I, Torné L, Galbete A, Delfrade-Osinaga J, Vicente E. Clinical features and incidence trends of amyotrophic lateral sclerosis in Navarre, Spain, 2007-2018: a population-based study. Amyotroph Lateral Scler Frontotemporal Degener 2021; 22:401-409. [PMID: 33641502 DOI: 10.1080/21678421.2021.1891249] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objective: Amyotrophic Lateral Sclerosis (ALS) is a heterogeneous neurodegenerative disorder with a median survival of 3 years. The aim of our study is to analyze the incidence, age-related phenotype and clinical onset, geographical distribution, survival and diagnostic delay of ALS in Navarre. Methods: This is a population-based observational retrospective study, including all residents of Navarre (a northern Spanish region) from 2007 to 2018, who were followed until 30th September 2020. Results: We observed a global incidence 2.47/100,000 person-years, with an upward trend throughout the study, with the highest being in the age group of 70-74 years old. Point prevalence in December 2018 was 6.64/100,000 inhabitants (95%CI: 4.52-8.45). Upper limbs weakness onset was the most frequent in young people (<60 years), and bulbar, lower limbs weakness, generalized and respiratory associated with older age. Bulbar phenotype is the most frequent in women and in 80+ group. The median survival from clinical onset was 27.7 months (95%CI: 24.0-31.4), higher in spinal phenotype and younger onset age, and the diagnosis delay was 10.0 months (95%CI: 8.9-11.2) from clinical onset. Conclusions: We have observed a trend of increasing incidence in older people where the bulbar phenotype and female predominance.
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Affiliation(s)
- Ivonne Jericó
- Department of Neurology, Complejo Hospitalario de Navarra, IdiSNA (Navarre Institute for Health Research), Pamplona, Spain
| | - Itsaso Elizalde-Beiras
- Department of Health Sciences, Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.,Primary Care, Servicio Navarro de Salud - Osasunbidea, IdiSNA, Pamplona, Spain
| | - Inmaculada Pagola
- Department of Neurology, Complejo Hospitalario de Navarra, IdiSNA (Navarre Institute for Health Research), Pamplona, Spain
| | - Laura Torné
- Department of Neurology, Complejo Hospitalario de Navarra, IdiSNA (Navarre Institute for Health Research), Pamplona, Spain
| | - Arkaitz Galbete
- Navarrabiomed-Complejo Hospitalario de Navarra-UPNA, IdiSNA, Pamplona, Spain.,Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain
| | - Josu Delfrade-Osinaga
- Community Health Observatory Section, Instituto de Salud Pública y Laboral de Navarra, IdiSNA, Pamplona, Spain, and.,CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Esther Vicente
- Department of Health Sciences, Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.,Community Health Observatory Section, Instituto de Salud Pública y Laboral de Navarra, IdiSNA, Pamplona, Spain, and
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19
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Bazrafshan S, Kushlaf H, Kakroo M, Quinlan J, Becker RC, Sadayappan S. Genetic Modifiers of Hereditary Neuromuscular Disorders and Cardiomyopathy. Cells 2021; 10:cells10020349. [PMID: 33567613 PMCID: PMC7915259 DOI: 10.3390/cells10020349] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/26/2021] [Accepted: 02/03/2021] [Indexed: 12/18/2022] Open
Abstract
Novel genetic variants exist in patients with hereditary neuromuscular disorders (NMD), including muscular dystrophy. These patients also develop cardiac manifestations. However, the association between these gene variants and cardiac abnormalities is understudied. To determine genetic modifiers and features of cardiac disease in NMD patients, we have reviewed electronic medical records of 651 patients referred to the Muscular Dystrophy Association Care Center at the University of Cincinnati and characterized the clinical phenotype of 14 patients correlating with their next-generation sequencing data. The data were retrieved from the electronic medical records of the 14 patients included in the current study and comprised neurologic and cardiac phenotype and genetic reports which included comparative genomic hybridization array and NGS. Novel associations were uncovered in the following eight patients diagnosed with Limb-girdle Muscular Dystrophy, Bethlem Myopathy, Necrotizing Myopathy, Charcot-Marie-Tooth Disease, Peripheral Polyneuropathy, and Valosin-containing Protein-related Myopathy. Mutations in COL6A1, COL6A3, SGCA, SYNE1, FKTN, PLEKHG5, ANO5, and SMCHD1 genes were the most common, and the associated cardiac features included bundle branch blocks, ventricular chamber dilation, septal thickening, and increased outflow track gradients. Our observations suggest that features of cardiac disease and modifying gene mutations in patients with NMD require further investigation to better characterize genotype–phenotype relationships.
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Affiliation(s)
- Sholeh Bazrafshan
- Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (S.B.); (M.K.); (R.C.B.)
| | - Hani Kushlaf
- Department of Neurology and Rehabilitation Medicine, Neuromuscular Center, University of Cincinnati Gardner Neuroscience Institute, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (H.K.); (J.Q.)
| | - Mashhood Kakroo
- Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (S.B.); (M.K.); (R.C.B.)
| | - John Quinlan
- Department of Neurology and Rehabilitation Medicine, Neuromuscular Center, University of Cincinnati Gardner Neuroscience Institute, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (H.K.); (J.Q.)
| | - Richard C. Becker
- Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (S.B.); (M.K.); (R.C.B.)
| | - Sakthivel Sadayappan
- Heart, Lung and Vascular Institute, Division of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (S.B.); (M.K.); (R.C.B.)
- Correspondence: ; Tel.: +1-513-558-7498
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20
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Müller KI, Ghelue MV, Lund I, Jonsrud C, Arntzen KA. The prevalence of hereditary neuromuscular disorders in Northern Norway. Brain Behav 2021; 11:e01948. [PMID: 33185984 PMCID: PMC7821572 DOI: 10.1002/brb3.1948] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 10/25/2020] [Indexed: 12/04/2022] Open
Abstract
AIM To investigate the point prevalence of hereditary neuromuscular disorders on January 1, 2020 in Northern Norway. METHODS From January 1, 1999, until January 1, 2020, we screened medical and genetic hospital records in Northern Norway for hereditary neuromuscular disorders. RESULTS We identified 542 patients with a hereditary neuromuscular disorder living in Northern Norway, giving a point prevalence of 111.9/100,000 on January 1, 2020. The prevalence of children (<18 years old) and adults (≥18 years old) were 57.8/100,000 and 125.1/100,000, respectively. Inherited neuropathies had a prevalence of 38.8/100,000. Charcot-Marie-Tooth and hereditary neuropathy with liability to pressure palsies had a prevalence of 29.9/100,000 and 8.3/100,000, respectively. We calculated a prevalence of 3.7/100,000 for spinal muscular atrophies and 2.4/100,000 for Kennedy disease. Inherited myopathies were found in 67.7/100,000. Among these, we registered 13.4/100,000 myotonic dystrophy type 1, 6.8/100,000 myotonic dystrophy type 2, 7.3/100,000 Duchenne muscular dystrophy, 1.6/100,000 Becker muscular dystrophy, 3.7/100,000 facioscapulohumeral muscular dystrophy, 12.8/100,000 limb-girdle muscular dystrophy, 2.5/100,000 hypokalemic periodic paralysis and 11.4/100,000 myotonia congenita. CONCLUSION Our total prevalence was higher than previously hypothesized in European population-based studies. The prevalence was especially high for myotonia congenita and limb-girdle muscular dystrophy. The prevalence of Charcot-Marie-Tooth polyneuropathy was higher than in most European studies, but lower than previously reported in epidemiological studies in other regions of Norway.
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Affiliation(s)
- Kai Ivar Müller
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Clinical Medicine, University of Tromsø, Tromsø, Norway
| | - Marijke Van Ghelue
- Department of Clinical Medicine, University of Tromsø, Tromsø, Norway.,Department of Medical Genetics, Division of Child and Adolescent Health, University Hospital of North Norway, Tromsø, Norway
| | - Irene Lund
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Christoffer Jonsrud
- Department of Medical Genetics, Division of Child and Adolescent Health, University Hospital of North Norway, Tromsø, Norway
| | - Kjell Arne Arntzen
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Clinical Medicine, University of Tromsø, Tromsø, Norway
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21
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Vicente E, Pruneda L, Ardanaz E. [Paradox of rarity: about the percentage of population affected by rare diseases]. GACETA SANITARIA 2020; 34:536-538. [PMID: 32307214 DOI: 10.1016/j.gaceta.2020.02.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 02/05/2020] [Indexed: 11/23/2022]
Affiliation(s)
- Esther Vicente
- Sección del Observatorio de la Salud Comunitaria, Instituto de Salud Pública y Laboral de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; Departamento de Ciencias de la Salud, Universidad Pública de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España.
| | - Laura Pruneda
- ERN TransplantChild, Instituto de Investigación Sanitaria del Hospital Universitario La Paz (IdiPAZ), Madrid, España
| | - Eva Ardanaz
- Sección del Observatorio de la Salud Comunitaria, Instituto de Salud Pública y Laboral de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; CIBER de Epidemiología y Salud Pública (CIBERESP), España
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