Human Study on Autoimmune Diseases Preceding Multiple Sclerosis Diagnosis
In a study of 3,079 incident multiple sclerosis cases, autoimmune diseases were found to occur more frequently in the 10 years before diagnosis compared to matched controls, with an adjusted rate ratio of 1.58. This pattern was similar for neuromyelitis optica spectrum disorder, indicating a notable increase in autoimmune diseases prior to MS diagnosis.
- Tags
- #Other
- Most relevant to
- —
- Human efficacy
- Not yet assessed
- Mechanism
- Not yet assessed
- Evidence strength
- Not yet assessed
- Outcome
- Not yet assessed
Why it matters
The findings suggest a significant association between the presence of autoimmune diseases and subsequent multiple sclerosis diagnosis, highlighting the potential importance of monitoring autoimmune conditions in at-risk populations.
What this does not prove
The study does not clarify the exact timing and characteristics of these autoimmune diseases, leaving gaps in understanding the nature of this association.
Next milestone
No next milestone was established from the available source.
Study facts
- Study design
- Observational
- Participants / samples
- 3079 · Number of incident multiple sclerosis cases identified.
- Randomised
- Not reported
- Controlled
- Yes
- Primary endpoint met
- Yes
- Relevant MS type
- RRMS
- Publication date
- 2026-10-17
- Evidence reviewed
- Abstract only
- Regulatory approval
- Not reported
- Research areas
- Other
Original sources
- Primary evidenceIncreased autoimmune disease burden before multiple sclerosis and neuromyelitis optica spectrum disorder diagnosis: A nationwide Korean cohort study. ↗DOI: 10.1177/13524585261494379
Supporting passages (14)
primary endpointOBJECTIVES: To evaluate the risk and timing of autoimmune diseases before multiple sclerosis and neuromyelitis optica spectrum disorder diagnosis.
study designMETHODS: Using the Korean National Health Insurance Service database (2011-2021), we identified incident multiple sclerosis (n = 3079) and neuromyelitis optica spectrum disorder (n = 1407) cases, each matched with 10 controls by age, sex, and index year.
subjectsRESULTS: Autoimmune diseases occurred more frequently before the index year in multiple sclerosis (adjusted rate ratio = 1.58, 95% confidence interval = 1.46-1.71) and neuromyelitis optica spectrum disorder (adjusted rate ratio = 1.28, 95% confidence interval = 1.14-1.45) than controls, with the greatest differences in the late period.
sample sizen = 3079
sample size basisMETHODS: Using the Korean National Health Insurance Service database (2011-2021), we identified incident multiple sclerosis (n = 3079) and neuromyelitis optica spectrum disorder (n = 1407) cases, each matched with 10 controls by age, sex, and index year.
controlledmatched with 10 controls by age, sex, and index year.
primary endpoint metCONCLUSIONS: The burden of autoimmune disease is increased before multiple sclerosis and neuromyelitis optica spectrum disorder diagnosis.
research categoriesCONCLUSIONS: The burden of autoimmune disease is increased before multiple sclerosis and neuromyelitis optica spectrum disorder diagnosis.
relevant ms typesCONCLUSIONS: The burden of autoimmune disease is increased before multiple sclerosis and neuromyelitis optica spectrum disorder diagnosis.
publication date2026-10-17
comparatorMETHODS: Using the Korean National Health Insurance Service database (2011-2021), we identified incident multiple sclerosis (n = 3079) and neuromyelitis optica spectrum disorder (n = 1407) cases, each matched with 10 controls by age, sex, and index year.
follow upAutoimmune diseases were assessed during the 10 years preceding the index year and categorized into early (5-10 years), intermediate (2-5 years), and late (0-2 years).
findingsRESULTS: Autoimmune diseases occurred more frequently before the index year in multiple sclerosis (adjusted rate ratio = 1.58, 95% confidence interval = 1.46-1.71) and neuromyelitis optica spectrum disorder (adjusted rate ratio = 1.28, 95% confidence interval = 1.14-1.45) than controls, with the greatest differences in the late period.
limitationsthe temporal patterns of autoimmune diseases remain poorly characterized.
AI assessment, not yet reviewed by a person · version 1 · Community votes are separate from evidence review.