Infectious Endocarditis Caused by <i>Pseudomona aeruginosa</i> on Bicuspid Aortic Valve
Bibliographic record
Abstract
We report the case of a 53-year-old man with psoriatic arthritis, suffering from a malignant and recidivant myoepithelioma in his right axilla and arm, and undergoing two surgeries, with the last one being performed a month prior to actual admission. After the last surgery, he was admitted to hospital with fever without a source. After physical examination, laboratory tests, blood cultures and transthoracic and transesophageal echocardiography, he was diagnosed with infectious endocarditis (IE) on a bicuspid aortic valve (BAV) caused by Pseudomona aeruginosa (PA). Antibiogram-guided antibiotic therapy with meropenem and tobramicin was initiated. However, in the presence of repetitive spleen infarctions and a large vegetation, 12 days after admission, a bioprosthesis aortic valve implantation was performed. The postsurgical evolution was favorable and prolonged antibiotic course with meropenem and tobramicin was completed. The pathological anatomy and the native valve cultured confirmed an IE caused by PA. Gram-negative non-HACEK IE cases are infrequent, accounting for 1.8% of the total IE cases. PA is the second most frequent bacillus in this group, causing endocarditis more prevalently when associated with healthcare procedures rather than injectable drug use. No prior case study has identified IE caused by PA related to a BAV in the last years. J Med Cases. 2022;13(6):297-301 doi: https://doi.org/10.14740/jmc3943
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".