Point‐of‐care ultrasound evaluation of lower extremity erythema
Bibliographic record
Abstract
A 58-year-old male with a history of diabetes and hypertension was brought to the emergency department (ED) for evaluation of altered mental status. Upon arrival, the patient was ill appearing, encephalopathic, and with the following vital signs: temperature 37.2°C, blood pressure 121/89 mmHg, heart rate 168 beats/min, respiratory rate 28 breaths/min, and oxygen saturation 98% on a nonrebreather mask. Physical examination revealed extensive tenderness and erythema of the distal right lower extremity with associated ecchymosis and necrotic tissue of the medial-plantar aspect of the right foot (Figure 1). Bedside soft tissue point-of-care ultrasound (POCUS) was subsequently performed, which demonstrated hyperechoic air foci with dirty posterior shadowing and perifascial fluid accumulation consistent with necrotizing fasciitis (Figure 2). Orthopedic surgery was immediately consulted based on the abnormal POCUS findings. The patient was further resuscitated with intravenous fluids and empiric antibiotics, and orthopedic surgery emergently brought the patient to the operating room for a right below-knee amputation. Necrotizing fasciitis is a time-sensitive, life-threatening skin and soft tissue infection that necessitates early identification in the ED.1, 2 Clinical examination and plain radiography findings are poorly sensitive for detecting necrotizing fasciitis; therefore, prompt diagnosis is notoriously challenging.3 There is an emerging role for POCUS performed by emergency physicians as an alternative diagnostic modality for necrotizing fasciitis, with high sensitivity and specificity previously reported.4, 5 The sonographic features of necrotizing fasciitis may include the presence of the following: diffuse thickening of subcutaneous tissue, irregular fascial planes with perifascial fluid accumulation, and air foci with dirty posterior shadowing.6-10 Critically, POCUS was instrumental in our case to yielding a rapid diagnosis and expedited surgical management without obtaining further advanced gold standard imaging. This report highlights the decisive role of emergency physician-performed POCUS ultrasound as a first-line bedside screening tool in the ED diagnosis of necrotizing fasciitis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".