Peripheral Nerve Blocks as Anaesthetic Choice for Asymptomatic Severe Aortic Stenosis for Emergency Lower Limb Surgeries: A Case Report
Bibliographic record
Abstract
Patients with severe aortic stenosis, whether symptomatic or not possess unique challenge to the anaesthetist .Both general anaesthesia and regional anaesthesia with central neuraxial blockade carry potential risks owing to a fixed cardiac output.Haemodynamic fluctuations associated with anaesthesia can be detrimental in these patients.They are at increased risk for intraoperative and post-operative complications given the severity of aortic stenosis.A clear intraoperative plan should be designed to manage the unique haemodynamics of these patients.We report a case of assymptomatic severe aortic stenosis posted for an urgent lower limb surgery.Ultra sound guided combined popliteal-sciatic and femoral nerve blocks were used as a sole anaesthetic technique.Patient was haemodynamically stable in the intra-operative as well as post operative period.Patient did not require any additional analgesic for about 10 hours post-operatively.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| 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".