Scedosporium Brain Abscess: A Rare and Fatal Drawback of Bruton Tyrosine Kinase Inhibitor Therapy
Bibliographic record
Abstract
The patient described in this case report was admitted to the San Luigi Hospital in Turin for confusion, drowsiness, and buccal and eye deviation. An acute neurological disease was suspected. He was affected by chronic lymphocytic leukemia (CLL) on active treatment with the novel Bruton tyrosine kinase inhibitor (BTKi) acalabrutinib. Other comorbidities included type II diabetes mellitus, arterial hypertension, and nonalcoholic steatohepatitis. Imaging exams showed multiple brain lesions, which appeared to be of infectious-inflammatory origin. Consequently, therapy with acalabrutinib was withheld. The patient was later transferred to the intensive care unit, because of worsening neurological conditions. The definite diagnosis of fungal abscess was obtained through a stereotactic biopsy of the widest brain lesion. Microbiological tests confirmed Scedosporium spp. as the etiological agent. Once a detailed antibiogram had been obtained, voriconazole therapy was started. However, the patient's clinical conditions decayed rapidly and he later died of neurological complications. BTKis represent a milestone in the treatment of CLL; however, little is known about how these molecules act on the immune system. Fungal brain abscesses are rare conditions more commonly seen in heavily immunocompromised patients, such as those affected by acquired immune deficiency syndrome, after bone marrow transplant or treatment for acute leukemia. Whether or not therapy with BTKis can favor opportunistic fungal infections is still a matter of debate. Various reports of Aspergillosis infections developing after therapy with ibrutinib exist. Evidence does suggest that an iatrogenic impairment in the innate immune system could favor these infections. In addition, the patient's comorbidities, such as diabetes mellitus and advancing hematological disease, might create the ideal breeding ground for these microorganisms.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".