A Rare Case of Lingual Necrosis Secondary to Prolonged Endotracheal Intubation
Bibliographic record
Abstract
We present a unique case of partial necrosis and cleft of the tongue caused by an endotracheal tube, and highlight the importance of endotracheal tube positioning in patients requiring prolonged intubation. A 53-year-old woman underwent endotracheal intubation secondary to respiratory failure due to altered mental status caused by alcohol intoxication. After extubation, she complained of tongue pain and was found to have cleft tongue and necrosis secondary to prolonged intubation. On follow-up, the patient’s tongue pain improved with oral analgesics and the tongue was well healed on examination. Tongue necrosis due to compression by an endotracheal tube during prolonged intubation is unusual; however, those involved in the care of intubated patients should consider the potential for this complication. This unique case of tongue necrosis highlights the importance of proper endotracheal tube positioning during prolonged intubation. J Med Cases. 2016;7(10):429-431 doi: http://dx.doi.org/10.14740/jmc2616w
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| 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".