Epidural Abscess Complicating Tunneled Caudal Epidural Catheter in an Infant for Postoperative Pain Management of Open Abdominal Surgery
Bibliographic record
Abstract
Regional anesthesia is being used more frequently in pediatric anesthesia practice, including the perioperative care of neonates and infants. Adverse effects may be encountered during epidural needle placement, with catheter advancement, or subsequently during infusion of local anesthetic agents. Despite applying standard practice of care regarding placement of epidural catheter, epidural catheter-related infections may still occur. We present the rare occurrence of an epidural abscess in a 4-month-old infant after placement and subsequent use of a tunneled caudal epidural catheter for postoperative pain management following abdominal surgery. Magnetic resonance imaging (MRI) was the gold standard diagnostic imaging modality and was used to identify the abscess. Management included intravenous antibiotic therapy as well as hemilaminectomy with evacuation of the epidural abscess and hematoma. The patient continued to progress well with no deficits noted on neurological examination. There were no other postoperative concerns. When there is a concern for epidural catheter-related infection, the catheter should be removed immediately. The epidural catheter tip as well as any purulent discharge from the insertion site should be sent for culture and sensitivity. Urgent neurosurgical and infectious disease consultation is suggested to provide opinions regarding surgical intervention and antibiotic therapy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| 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".