Incidence and prevalence of Spinal and bulbar muscular atrophy in South Korea: a nationwide population-based study.
Jin-Mo ParkMinsung KangJin-Sung ParkPublished in: Journal of neurology (2023)
Spinal and bulbar muscular atrophy (SBMA), or Kennedy's disease, is a rare X-linked neuromuscular disorder predominantly affecting males and caused by a mutation in the androgen receptor gene. The epidemiology and comorbidities associated with SBMA in different ethnicities remain poorly understood. This study investigated the prevalence, incidence, and comorbidities associated with SBMA in the South Korean population using the Health Insurance Review and Assessment Service (HIRA) database. We retrospectively reviewed diagnosed cases of SBMA (G12.25 code of the Korean Classification of Diseases-7th edition) registered from January 1, 2016, to December 31, 2019, to calculate incidence and prevalence rates and concomitant comorbidities. Additionally, we surveyed SBMA patients (questionnaire group) visiting our clinic in 2022 to compare comorbidities with the HIRA data. The mean incidence rate of SBMA in the Korean population was 0.36/100,000 males from 2018 to 2019, while the prevalence rate was approximately 0.46/100,000 males from 2016 to 2019. The most common comorbidities identified in HIRA were gastritis and duodenitis (99.7%), gastroesophageal reflux (90.5%), hyperlipidemia (88.4%), and liver disorders (75.2%), which showed similar results in the questionnaire group. Additionally, gastric cancer was the most common type of cancer reported in SBMA in South Korea; although indeterminate, age-related factors may contribute to the development of cancer in these patients. Our findings provide valuable insights into the epidemiology and associated comorbidities of SBMA within the Korean population, which could inform clinical practice and future clinical research.
Keyphrases
- risk factors
- end stage renal disease
- health insurance
- ejection fraction
- newly diagnosed
- chronic kidney disease
- spinal cord
- papillary thyroid
- clinical practice
- healthcare
- peritoneal dialysis
- machine learning
- primary care
- prognostic factors
- mental health
- gene expression
- insulin resistance
- dna methylation
- patient reported
- helicobacter pylori
- spinal cord injury
- high fat diet
- type diabetes
- genome wide
- african american
- psychometric properties
- lymph node metastasis