Reconstruction of Open Contaminated Achilles Tendon Injuries With Soft Tissue Loss
Bibliographic record
Abstract
BACKGROUND: Open achilles tendon injuries, present a complex problem to the treating surgeon especially if associated with tendon and soft tissue loss. We present eight such patients treated with tendon repair/reconstruction and reverse flow sural artery flap for soft tissue cover. PATIENTS: Eight patients (age, 12-64 years) with a spectrum of open tendo-achilles injuries of acute and chronic (infected), including loss of tendon of up to 10 cm, tendon defects with no distal attachment and one with partial loss of the calcaneum were treated between November 2005 and July 2006. Two of them had significant medical comorbid factors. The skin defect measured after debridement ranged from 6 x 5 cm to 15 x 10 cm. The tendon injuries were sutured directly when possible or sutured to bone if avulsed from the calcaneum. They were otherwise reconstructed using the central part of the proximal segment. A reverse sural artery was used to provide soft tissue cover. RESULTS: All flaps survived. All patients had a normal gait, were able to stand on tip toes, had active plantar flexion and had returned to their original occupation 4 months after reconstruction. They had full range of movement at the ankle. One diabetic patient had terminal necrosis of the flap that required a split skin graft. He developed a late infection which did not compromise the functional result. CONCLUSION: In the management of complex tendo-achilles injuries with tendon and soft tissue loss, radical debridement, single stage tendon reconstruction, and reverse flow sural artery flap gives good functional outcome. This gives consistent results across a spectrum of open tendo-achilles injury.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".