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Record W4409905967 · doi:10.3138/jammi-2023-0040

<i>Rothia aeria</i> bacteremia complicated by cerebral mycotic aneurysms: A case report

2024· article· en· W4409905967 on OpenAlexaffvenue
Yoko Schreiber, Armelle Pérez Cortés Villalobos, James McEachern, Andrew Walkty

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsManitoba HealthNOSM UniversityUniversity of Manitoba
Fundersnot available
KeywordsBacteremiaMedicineMycotic aneurysmRadiologyAneurysmMicrobiologyBiologyAntibiotics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.002
GPT teacher head0.202
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Association of Medical Microbiology and Infectious Disease CanadaSame topicDiphtheria, Corynebacterium, and TetanusFrench-language works237,207