Natalizumab-associated progressive multifocal leukoencephalopathy occurring at low positive anti-JC virus antibody level
Bibliographic record
Abstract
Background: Risk of progressive multifocal leukoencephalopathy (PML), a serious adverse event of natalizumab therapy, is higher with positive anti-JC virus antibody status, greater cumulative exposure to natalizumab and prior immunosuppressant use. Plavina et al. (2014) showed that plasma or serum anti-JC virus antibody index value may allow further PML risk stratification. Among anti-JC virus antibody positive multiple sclerosis patients with no prior immunosuppressant treatment receiving natalizumab, anti-JC virus antibody index >6 months prior to PML diagnosis was significantly higher among those who developed PML with 96% consistently having an anti-JC virus antibody index >0.9. Methods: We describe a case of natalizumab-associated PML with low positive anti-JC virus index value prior to diagnosis. Results: A 53 year old man with 20 year history of relapsing remitting multiple sclerosis was diagnosed with PML following 46 infusions of natalizumab. Glatiramer acetate was his only prior immunomodulatory therapy. Routine MRI surveillance resulted in diagnosis of PML following detection of a confluent right anterior frontal T2 hyperintense lesion extending across the corpus callosum. Six months prior, routine MRI surveillance demonstrated a small right frontal T2 hyperintensity with no diffusion restriction while serum anti-JC virus antibody index was 0.69. Conclusions: Natalizumab-associated PML may develop despite low positive anti-JC virus index value.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".