Scedosporium Cerebral Abscesses After Extra-Corporeal Membrane Oxygenation
Bibliographic record
Abstract
BACKGROUND: Scedosporial infections are usually encountered in the immunocompromised patients. However, they are now emerging in the immunocompetent population and have an affinity for the central nervous system. They represent a therapeutic challenge, since they are highly resistant to most antifungal medications. METHODS: We report the case of an immunocompetent patient with multiple cerebral abscesses secondary to Scedosporium apiospermum following extracorporeal membrane oxygenation (ECMO) and review the literature about this challenging cerebral infection. RESULTS: A previously healthy 33-year-old male admitted to the hospital for a community-acquired pneumonia requiring ECMO subsequently developed multiple cerebral abscesses. He was empirically treated with caspofungin, which was changed to voriconazole once surgical aspiration revealed Scedosporium apiospermum. Despite multiple aspirations, decompressive craniectomy to alleviate intracranial pressure, and an appropriate antifungal agent, the patient did not survive this aggressive infection. CONCLUSION: Brain abscesses with Scedosporium apiospermum present a therapeutic challenge. High clinical suspicion leading to early appropriate antifungal therapy and combined surgical interventions might improve the prognosis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".