Fever and Peripheral Emboli in an Immunocompetent Host: A Case of Aspergillus Endocarditis
Bibliographic record
Abstract
Despite diagnostic and therapeutic advances in medical, surgical, and critical care, the mortality rate for Aspergillus endocarditis remains dismal (approaching 100%). We report a case of a 49 year old immunocompetent woman with recent aortic valve prosthesis who presents with fever, chills, sweats, left facial droop, left arm weakness, petechial rash and cyanotic toes. Initial trans-esophageal echo was normal but a repeat study revealed a 9 × 5 mm vegetation abutting the aortic prosthesis. Microbiological correlation could not be documented despite the presence of persistent fever through serial blood cultures, and the diagnosis of Aspergillus fumigatus endocarditis was ultimately made on embolectomy specimen when she developed an ischemic right leg. Aggressive medical treatment was initiated with intravenous voraconazole, liposomal amphotericin-B and heparin. The timing of surgical intervention was contemplated, but was precluded by multiple comorbidities. She succumbed to her illness after developing cerebral herniation following intraparenchymal hemorrhage. The effectiveness of combined medical intervention and surgical valve replacement for Aspergillus endocarditis is therefore contingent on high diagnostic suspicion and early echocardiographic detection in a high risk individual with features of culture-negative endocarditis.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| 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".