Fat Embolism Syndrome: Case Report
Bibliographic record
Abstract
Fat embolism syndrome (FES) is a systemic inflammatory cascade affecting multiple organ systems occurring after trauma, orthopedic procedures and rarely in non-traumatic patients causing high morbidity and mortality. Fat emboli develop in many patients with bone fractures (incidence of this problem can be up to 90% in patients who have sustained major injuries), but are usually asymptomatic. A minority of patients develop signs and symptoms of organ system dysfunction due to mechanical obstruction of capillaries by fat emboli or due to fat hydrolyzing to fatty acids. A triad of lung, brain and skin involvement develops after 24 - 72 hours of asymptomatic period. This symptom complex is known as FES. Fat embolism is diagnosed clinically with non-specific and insensitive diagnostic tests. Treatment of FES is supportive and in most cases can be prevented by early fixation of large bone fractures. Here we report a case of traumatic fat embolism, treated successfully with supportive management. Diagnosis of FES needs high index of suspicion and use of clinical criteria along with imaging. J Neurol Res. 2016;6(5-6):114-117 doi: https://doi.org/10.14740/jnr405w
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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) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".