<i>Rothia aeria</i> bacteremia complicated by cerebral mycotic aneurysms: A case report
Bibliographic record
Abstract
Background: Rothia aeria is a gram-positive bacterium that is considered a member of the normal human oral flora. Serious infections due to this organism are rare, with only eight case reports of endocarditis due to R. aeria published worldwide in the English language literature. Methods: We report the case of a previously healthy 43-year-old man who presented with multiple acute subarachnoid hemorrhages secondary to cerebral mycotic aneurysms after several weeks of weight loss and headache, and we summarize previously published cases of endocarditis due to R. aeria. Results: Blood cultures yielded filamentous gram-positive bacilli identified by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry as R. aeria. The patient was treated with antimicrobial therapy (initially aqueous penicillin G, then ceftriaxone) for 12 weeks with a good clinical response. Endocarditis was suspected but not definitively proven on echocardiography. There was no clear odontogenic source of infection. Conclusion: This report of cerebral mycotic aneurysms secondary to possible endocarditis highlights the potential pathogenic nature of R. aeria infection, and supports the use of MALDI-TOF in rapid identification of uncommon bacterial pathogens.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 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 | 0.002 |
| Research integrity | 0.005 | 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".