Epidural Analgesia Enhances Functional Exercise Capacity and Health-related Quality of Life after Colonic Surgery
Bibliographic record
Abstract
BACKGROUND: Multimodal analgesia programs have been shown to decrease hospital stay, but it not clear which functions are restored after surgery. The objective of this study is to evaluate the impact of epidural anesthesia and analgesia on functional exercise capacity and health-related quality of life. METHODS: Sixty-four patients undergoing elective colonic resection were randomized to either patient-controlled analgesia with morphine or thoracic epidural analgesia with bupivacaine and fentanyl (epidural group). All patients in both groups received similar perioperative care and were offered the same amount of postoperative oral nutrition and assistance with mobilization. Primary outcome was functional exercise capacity as measured by the 6-min walking test, and secondary outcome was health-related quality of life, as measured by the SF-36 health survey. These were assessed before surgery and at 3 and 6 weeks after hospital discharge. Other variables measured in hospital included pain and fatigue visual analogue scale, bowel function, time out of bed, nutritional intake, complication rate, readiness for discharge, and length of hospital stay. RESULTS: Although the 6-min walking test and the SF-36 physical health component decreased in both groups at 3 and 6 weeks after surgery, the patient-controlled analgesia group experienced a significantly greater decrease at both times (P < 0.01). Patients in the epidural group had lower postoperative pain and fatigue scores, which allowed them to mobilize to a greater extent (P < 0.05) and eat more (P < 0.05). Length of hospital stay and incidence of complications were similar in both groups, although patients in the epidural group were ready to be discharged earlier. CONCLUSIONS: The superior quality of pain relief provided by epidural analgesia had a positive impact on out-of-bed mobilization, bowel function, and intake of food, with long-lasting effects on exercise capacity and health-related quality of life.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".