The Use of Spinal Anaesthesia for Retrograde Uretero-Renoscopy during the COVID-19 Pandemic
Bibliographic record
Abstract
Background The use of spinal anaesthesia (SA) for retrograde uretero-renoscopic surgery is considered to be not as effective as a general anaesthetic (GA) by urologists. However, there were significant concerns associated with GA both for the patient and the anaesthetic team at the height of the COVID-19 pandemic. Our unit was able to successfully transfer surgery to a purpose-built day facility that had extensive experience in delivering SA. This created the opportunity to assess the SA technique in uretero-renoscopy in a cohort of unselected patients. Objective To assess the feasibility of SA as a primary form of anaesthetic for retrograde endoluminal renal and ureteric surgery. Results Over 4 months, 41 ureteroscopic procedures were performed. The conversion rate to GA (for inadequate analgesia) was 9.8%. Surgical outcome data were compared with an equivalent cohort of patients’ who underwent GA before the pandemic. Both groups had similar outcomes: day-case discharge rate (SA 84%, GA 86%) and surgical completion rate (SA 94%, GA 90%). However, there was a difference in postoperative readmission rate (SA 8%, GA 22%) favouring SA. Conclusions This observational study demonstrated that SA is a safe and effective form of anaesthesia for uretero-renoscopic surgery, delivering non-inferior outcomes to GA. This has implications for the immediate provision of care as COVID-19 continues and as an alternative anaesthetic option to suit patients post pandemic. A larger prospective observational study would be appropriate to clearly define the benefits of SA for ureteroscopy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".