Infections Recurrent empyema due to <i>Salmonella enteritidis</i> in a patient on hemodialysis
Bibliographic record
Abstract
Objective: Pleural involvement of salmonella infection is very rare and we are not aware of any case of salmonella empyema in hemodialysis patients. The purpose of this study is to report our experience of recurrent empyema due to Salmonella enteritidis with bacteremia in a patient on hemodialysis. Case report: A 53‐year‐old woman with end stage renal disease, having been on hemodialysis for 10 days, was brought to the emergency department due to fever and shortness of breath for 2 days. Her initial physical examination revealed diminished breathing sound over right lung field. The chest radiographs disclosed right pleural effusion and pleural fluid analysis included a white cell count of 13800(N/L:95/5), LDH 2534 U/L, protein 2.7 g/dL, and sugar 10 mg/dL. Right side empyema was noted. Sonography revealed splenomegaly. Salmonella enteritidis was identified from the cultures of blood and pleural fluid. After antimicrobial therapy with intravenous ceftriaxone for 2 weeks and pleural pigtail drainage, fever subsided and pleural drainage tube was removed. However, thoracoscopic debridement was done later because of recurrent empyema within one week after removing the drainage tube. Computed tomography revealed pleural effusion, pericardial effusion, and splenomegaly, but there was no evidence of aortic aneurysm formation or infectious process of aorta. Overall the patient received 6 weeks of intravenous ceftriaxone treatment and 3 months of oral ciprofloxacin. The follow‐up CXR revealed minimal pleural effusion. Conclusion: Nontyphoidal salmonella infection can present with empyema and bacteremia in patients on hemodialysis. Adequate drainage and antimicrobial therapy may be necessary to treat such patients effectively.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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 | 0.000 |
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.
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".