Fatal Necrotizing Fasciitis Mediated by <i>Escherichia coli</i> After Parotidectomy and Neck Dissection: A Case Report and Review of the Literature
Bibliographic record
Abstract
Necrotizing soft tissue infection (NSTI) is a rare, but life-threatening, complication of head and neck surgery. We present a 70-year-old male with a history of immunosuppression who presented with polymicrobial NSTI following parotidectomy and neck dissection for cutaneous squamous cell carcinoma. The objective of this report was to promote awareness for NSTI following parotidectomy and selective neck dissection and highlight the management measures that can optimize survival outcomes. We performed a database search that identified 1,025 citations, of which 5 articles described classified as craniocervical necrotizing fasciitis following major head and neck surgery. Consent was obtained from the patient for inclusion in the research study and Institutional Review Board approval was waived. Our literature review yielded 6 cases of craniocervical necrotizing fasciitis following major head and neck surgery. This NSTI, however—unlike the others previously reported—was predominantly mediated by Escherichia coli , a bacterium associated with elevated mortality rates. Despite immediate awake fiberoptic intubation, repeated surgical debridement, and empirical antibiotic therapy, he deteriorated rapidly and was withdrawn from life-support on postoperative day seven. Prophylactic antibiotics, airway management, prompt diagnosis, and surgical debridement are critical for limiting mortality in NSTI of the head and neck.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".