Epidural Analgesia in the Post-Anaesthesia Care Unit
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Epidural analgesia is widely used for postoperative pain in a variety of surgical operations and it is recognised to provide superior quality of analgesia when compared with systemic opioids. The combination of low doses of local anaesthetics and opioids appears to provide optimal analgesia with minimal motor blockade. However, side effects have been reported with epidural analgesia such as postoperative nausea and vomiting (PONV), respiratory depression and arterial hypotension. Although the incidence of these side effects is lower than those reported with the use of systemic opioids, they can contribute to a delay in discharging patients from PACU. Epidural analgesia is also associated with perioperative hypothermia. The incidence of cognitive dysfunction is not decreased by using postoperative epidural analgesia. Assessment of the quality of analgesia by using pain visual analogue score (VAS) at rest and with movements or on coughing remains the most preferred in PACU, although there are limitations with this measurement. Epidural failure due to technical failure or malposition of the catheter represents potential problems having direct consequence on the quality of analgesia provided. All epidural catheters have to be checked and the quality of analgesia assessed before patients are discharging from PACU to the surgical wards. With advances in pain pharmacology, multimodal interventions and adjuvants can be used safely with the intent of providing better analgesia and decreasing the side effects associated with one technique.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it