Successful drainage of periaortic graft abscess and transcatheter aortic valve replacement in the same setting - a hybrid approach.
Bibliographic record
Abstract
81-year-old man with a history of Bio-Bentall surgery presented to the emergency department with fever, chills and back pain. Initial physical examination was inconclusive apart from sudden onset of delirium, and investigation showed elevated WBCs, anemia, and neutrophilia. Further studies revealed gram-positive cocci on the initial blood culture, which was then confirmed to be MSSA bacteremia. Subsequently, a TEE showed a peri-aortic abscess, Moderate AR and severe AS with no evidence of endocarditis. Antibiotics were started and urgent abscess drainage was planned. In a hybrid operative setting, a multidisciplinary team of cardiology, and cardiac surgery managed the periaortic graft abscess drainage through a median sternotomy and TAVR. Post-operatively, the complications included bradycardia, and RHF. Six-week course of IV Rifampin, Probenecid and Cefazolin was initiated, and patient was to remain on lifelong Cefadroxil.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".