Systematic Analysis and Network Mapping of Disease Associations in Autoimmune Polyglandular Syndrome
Authors' conclusion
APS is more frequent than reported. Classifying APS requires a shift of perspective toward disease associations rather than disorder prevalence.
Study context
- Population
- Patients whose medical records were analysed; autoimmune origin proved in 3180, of whom 380 had autoimmune polyglandular syndrome (APS)380 with APS
- Participants
- 7,559 patients
- Outcome
- APS frequency and component disorders
Methodological detailscomputational network analysis of disease associations
- Computational network analysis of disease associations
Main finding
As reported in the abstract
- APS among patients with proved autoimmune origin
- 380 (12%)
- Distinct autoimmune disorders diagnosed
- 28
- Combinations formed
- 113
- Share of cases from the 10 most frequent combinations
- 51.3%
- Hashimoto's thyroiditis (HT) (most common manifestation)
- 67.4%
- Graves' disease (GD)
- 26.8%
- T1D
- 20.8%
Observational data: associations, not effects.
Further findings
Age at APS onset by sex
- APS started significantly earlier in men than in women
Association patterns
- HT and GD were the main cornerstones of APS, sharing several comorbidities
- Thyroid autoimmunity frequently linked to gastrointestinal and systemic manifestations; patterns substantially differed from T1D, Addison's disease or coeliac disease as first manifestations
Original publication
Systematic Analysis and Network Mapping of Disease Associations in Autoimmune Polyglandular Syndrome. J Clin Endocrinol Metab. Published 8 October 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →