Single‐center experience on progressive multifocal leukoencephalopathy (PML) cases, neuroimaging relevance, and management at West Virginia University (WVU)
Bibliographic record
Abstract
Progressive multifocal leukoencephalopathy (PML) is an increasingly common and rapidly fatal demyelinating infection of central nervous system caused by the highly prevalent John Cunningham (JC) virus in immunocompromised individuals belonging to all age groups and genders. Human immunodeficiency virus (HIV) is the most common predisposing factor among other immunodeficient conditions leading to reactivation and multiple neurological symptoms. It has varied findings on magnetic resonance imaging (MRI) and diagnosis is confirmed by positive JC virus in cerebrospinal fluid (CSF). We report 12 confirmed cases of PML from a single academic center. We comprehensively described clinical presentations, risk factors, CSF and neuroimaging findings, treatment and outcome for these cases of PML, a rare disease. The cases were almost equivalently distributed among young and old age groups and both genders. Positive JC virus on CSF was present in the majority of cases along with mild to severe reduction in lymphocyte counts. Significant MRI changes were present in all cases ranging from T2 hypertense signals to white matter lesions in various regions. Treatment with the reversion of immune-modulators, optimization of antiviral therapy (ART), plasmapheresis (PLEX), IVIG, Mirtazapine, oral steroids, and others was started as soon as the diagnosis was made in the majority of the cases. However, PML is a rapidly fatal illness and hence, survival was only seen in 4 cases in our study. The objective of this article is to highlight the importance of early diagnosis of PML with CSF findings and neuroimaging, early reversion of immunosuppressive medications, and careful monitoring and treatment of HIV cases with goals to reduce mortality, long-term morbidity, and deficits.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".