Prognostic Factors for Multiple Sclerosis Symptoms in Radiologically Isolated Syndrome
Bibliographic record
Abstract
Importance: Understanding the risk factors for symptom development will allow clinicians to stratify people with radiologically isolated syndrome (pwRIS) more effectively and tailor their management strategies accordingly. Objective: To identify prognostic factors at radiologically isolated syndrome (RIS) diagnosis associated with the development of multiple sclerosis (MS) symptoms. Design, Setting, and Participants: This cohort study was performed in samples collected between July 2004 and September 2022 and included 33 MS centers. All pwRIS who meet the 2017 McDonald criteria for dissemination in space with a sample collected near the diagnostic magnetic resonance imaging were included. No patients who met eligibility criteria were excluded. The data were analyzed from July 2024 to November 2024. Exposure: Body fluid biomarkers and environmental factors in pwRIS. Main outcomes and measures: The main outcome was the development of MS symptoms. Analyses involved univariable and multivariable Cox proportional hazards models, including age, sex, and treatment following RIS diagnosis, as additional independent variables. Results: The study included 273 pwRIS (mean age, 38.6 [SD 11.6] years; 207 women [75.8%] and 66 men [24.2%]) with a median follow-up of 5.0 [IQR, 2.5-7.7] years. A total of 101 pwRIS developed MS symptoms (37.0%). The presence of immunoglobulin G oligoclonal bands (OBs) (hazard ratio [HR], 5.09; 95% CI, 2.36-10.97; P < .001), immunoglobulin M OBs (HR, 2.58; 95% CI, 1.61-4.14; P < .001), and a κ free light chain index of 6.1 or more (HR, 2.79; 95% CI, 1.37-5.67; P = .005) were associated with MS symptoms. High cerebrospinal fluid neurofilament light chain (NfL) levels (HR, 1.31; 95% CI, 1.18-1.45; P < .001) and high serum NfL z scores (HR, 1.42; 95% CI, 1.16-1.72; P = .005) were also associated with an increased risk of MS symptoms. In contrast, high anti-cytomegalovirus titers (HR, 0.59; 95% CI, 0.38-0.93; P = .02) and high ultraviolet radiation exposure in the year before (HR, 0.52; 95% CI, 0.37-0.74; P < .001) and the year after (HR, 0.54, 95% CI, 0.38-0.75; P < .001) diagnosis reduced the risk of MS symptoms. For all these prognostic factors, the multivariable analysis yielded similar results. The combination of high serum NfL z scores and positive immunoglobulin G OBs conferred a 5-year risk of clinical symptoms of 58.3% (95% CI, 45.9-67.9). This risk increased to 81.6% (95% CI, 60.9-91.4) in pwRIS who were younger and positive for immunoglobulin M OBs. Conclusions and Relevance: The study elucidates the prognostic factors that significantly impact the risk of developing MS symptoms in pwRIS at diagnosis, thereby, enhancing the potential for tailored clinical interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".