ACTA2 Mutation: Microsurgeon Beware!
Bibliographic record
Abstract
Patients with the alpha actin 2 genetic mutation suffer early onset aneurismal and vascular-occlusive conditions due to dysfunctional smooth muscle contractility. Outcomes of free flap reconstruction in this patient population are unknown. Here we report the case of a 21-year-old woman with alpha actin 2 mutation who required decompressive hemicraniectomy following an acute stroke. The entire Cushing flap underwent necrosis, requiring debridement and exposing dura. This condition was treated with a free latissimus myocutaneous flap. The patient's post-operative course was complicated by venous thrombosis, requiring intra-flap tPA and revision of the venous anastomosis with a saphenous vein graft. Ultimately the distal 75% of the flap was lost, leaving the dura exposed. The patient's course was further complicated by multiple wound healing complications: large areas of necrosis of the latissimus and saphenous vein donor sites, the neck vessel recipient site, and the right hand after IV infiltration. She ultimately healed with a regenerative tissue matrix strategy. Reconstructive options with no or minimal donor site morbidity should be considered in patients with the alpha actin 2 mutation. We encourage further reporting of outcomes in these patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.017 |
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".