Arterialization of the Venous System for Acute and Chronic Ischemia of the Hand: A Case Series With Prospective Duplex Ultrasound Assessment
Bibliographic record
Abstract
Background: Ischemia of the hand is a debilitating condition. In many cases, the cause of ischemia is diffuse atherosclerosis with no distal vessels available for bypass. In these situations, options are limited to restore perfusion, and there is a potential role for arterialization of the venous system to relieve ischemic pain and avoid amputation. Methods: This is a retrospective review of all patients at our institution who underwent arterialization of the venous system between 2010 and 2014 by 4 surgeons for acute or chronic ischemia of the upper extremity not amenable to bypass procedures. Indications, preoperative and postoperative findings, and the requirement for future digital amputations were recorded. The patients were then evaluated prospectively for the patency of arteriovenous anastomosis and the pattern of perfusion by duplex ultrasound studies. Results: Eight patients with 10 upper extremities underwent arterialization of the venous system. All patients with chronic ischemia went on to heal their ischemic ulcerations with relief of rest pain and avoided amputation. Eight upper extremities had arterial Doppler and duplex ultrasound signals showing arterialized dorsal veins demonstrating flow from the dorsal veins heading volar via the intrinsic compartments into the digital arteries. Conclusions: This study illustrates the successful use of arterialization of the venous system of the hand in both acute and chronic hand ischemia. It reports on prospective imaging and duplex ultrasound studies confirming patency of the anastomosis and objective evidence of distal arterial flow. Based on our experience, we believe that arterialization of the venous system may provide an effective salvage option in the setting where no distal bypass is available.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".