Purulent Pericarditis Following Endobronchial Biopsy of Lymph Node (4R)
Bibliographic record
Abstract
BACKGROUND: Purulent pericarditis is a rare but life-threatening complication of endobronchial ultrasound-guided fine-needle aspiration (EBUS-FNA) of intrathoracic lesions. CASE SUMMARY: A 65-year-old man with hypertension and hearing loss presented with an aggressive case of purulent pericarditis leading to cardiac tamponade post-EBUS-FNA of a station 4R lymph node. Transthoracic echocardiogram demonstrated fibrinous stranding and tamponade physiology. Pericardiocentesis drained over 500 mL of purulent fluid positive for Streptococcus mitis. The patient was successfully managed with a prolonged course of culture-guided intravenous antibiotics. DISCUSSION: To our knowledge, this is the first reported case of S. mitis purulent pericarditis post-EBUS-FNA. TAKE-HOME MESSAGE: This case highlights the differential diagnosis of chest pain in patients undergoing EBUS-FNA and the utility of transthoracic echocardiography in the diagnosis of effusion-constrictive pericarditis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".