Rectus sheath catheters reduce opiate use in pancreaticoduodenectomy: a pre- and postintervention cohort study
Bibliographic record
Abstract
BACKGROUND: Pancreaticoduodenectomy is the only curative option for patients with pancreatic cancer; however, pain remains a considerable problem postoperatively. With many centres moving away from using epidural analgesia, there is the need to evaluate alternative opiate sparing techniques for postoperative analgesia. We sought to determine if rectus sheath catheters (RSCs) had an opiate sparing and analgesic effect compared with standard care alone (opiate analgesia). METHODS: We conducted a retrospective pre- and postintervention cohort study of patients undergoing pancreaticoduodenectomy at a single tertiary academic hospital in Toronto, Canada, between April 2018 and December 2019. All patients undergoing a pancreaticoduodenectomy were eligible for inclusion. Among the 101 patients identified, 84 (61 control, 23 RSCs) were analyzed after exclusion criteria were applied (epidural analgesia, admission to intensive care intubated or reintubated within the first 96 hours). The pre-intervention group received a semi-standardized course of analgesics, including intravenous hydromorphone, acetaminophen, ketamine, with or without nonsteroidal anti-inflammatory, and with or without intravenous lidocaine; the latter 2 drugs were at the individual anesthesiologist and surgeon's preference. For the postintervention group, the same course of analgesics were used, with the addition of RSCs. These were inserted at the end of the operation, with a loading dose of ropivacaine administered and followed by a programmed intermittent bolus regime for 72-96 hours. The primary outcome measure was total postoperative opiate consumption (oral morphine equivalents). Secondary outcomes included pain scores (numeric rating scale) and treatment-related adverse effects. RESULTS: = 0.01). The RSC group used significantly less opiates at each time point from 24 hours postoperatively, with no significant difference in pain scores between the groups and no significant catheter-related complications. CONCLUSION: The use of RSCs was associated with significant reductions in postoperative opiate consumption. Given the ease of placement and management, with minimal complications, RSCs should be incorporated into a course of postoperative multimodal analgesia. A large scale randomized controlled trial should be conducted to further investigate these findings.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".