Orbital Compartment Syndrome in Severe Burns: Predictive Factors, Timing, and Complications of Intervention
Bibliographic record
Abstract
PURPOSE: Severe burn patients require high-volume fluid resuscitation, which increases risk for orbital compartment syndrome (OCS). We aimed to understand surgeons' practice patterns and to examine risk factors for OCS, timing of lateral canthotomy and cantholysis (LCC), and complications of intervention. METHODS: A survey of American Society of Ophthalmic Plastic and Reconstructive Surgery and North American Society of Academic Orbital Surgeons' practice patterns in burn patients was undertaken. In addition, a retrospective analysis was conducted of 107 patients with burns greater than 20% total body surface area at 1 institution from January 1, 2009, to June 1, 2018. Patients with Stevens-Johnson Syndrome or Toxic Epidermal Necrolysis, frostbite, or no ophthalmologic consultation were excluded. Risk factors for OCS, timing of LCC, and complications of the intervention were examined. RESULTS: In the survey, 37 of 54 respondents had treated burn patients, of which 29 followed no protocol. Threshold intraocular pressure for intervention varied widely, and nearly all reported having seen complications from LCC in burn patients. For the retrospective analysis, 107 patients met criteria, of which 22 (20.6%) required LCC. Renal failure, inhalation injury, eyelid burns, higher total body surface area, elevated lactate, increased number of escharotomies, and greater total fluid required were significantly associated with the clinical decision that the patient was at risk for OCS requiring LCC. Fluid resuscitation in excess of the Ivy Index (250 ml/kg) increased odds of LCC 8.6 times. Average time of LCC was 15.8 hours after burn. LCC patients experienced higher rates of complications including eyelid retraction, exposure keratopathy, and corneal ulceration. CONCLUSIONS: Severe burn patients should be monitored closely by an ophthalmologist during the first 48 hours for signs of OCS. Further studies should aim to recommend protocols guiding evaluation and intervention.
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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 | 0.000 |
| 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".