Multimodal Analgesia for Paediatric Patients Undergoing Lower Limb Reconstruction with External Fixators: A Prospective Case Series of Post-operative Pain and Functional Goals
Bibliographic record
Abstract
Aim: Limb reconstruction with external fixators requires appropriate pain management to promote effective analgesia and healing while minimising adverse events of the analgesic technique used. The objective of this prospective case series was to evaluate a multimodal analgesia regimen designed to reduce opioid requirements and hence reduce the opioid-related side effect profile. Materials and methods: A prospective cohort of patients undergoing lower limb reconstruction surgery (LRS) were managed through an evidence-informed multimodal analgesia guideline (MMAG), including acetaminophen, pregabalin, dexmedetomidine, IV lidocaine, and opioids. Outcome measures included intraoperative and post-operative opioid administration, post-operative pain scores, time to achieve mobilisation milestones, and post-operative complications. Surveys were conducted to obtain patient reported experiences. Results: 26 patients were included in this prospective case series. 110.59 (84.29, 162.13) (median, interquartile range) µg/kg/hr intraoperative IV morphine equivalent opioids were administered. In the first 48 hours post-operatively, patients received 11.49 (6.41, 19.35) µg/kg/hr of IV morphine equivalent dose. Median level of pain (0-10) in the first 48 post-operative hours was 2 (1, 2). Patients achieved mobilisation. And 19/20 patients surveyed reported 'yes' to having effective pain management; 17/20 patients had no unwanted side effects associated with analgesia medications. There were no cases of compartment syndrome. Conclusion: This multimodal analgesia regime applied to patients undergoing lower LRS with external fixators demonstrates the feasibility of this analgesic regimen which revealed effective pain control, early mobilisation, with minimal side effects, but warrants further study. Clinical significance: This study provides valuable evidence that this standardised multimodal anaesthesia and analgesia regimen is feasible, offers adequate post-operative comfort and encourages early mobilization while minimising opioid use and adverse events in a paediatric LRS population at our institution. How to cite this article: Wang AWT, Chhina H, Cooper A. Multimodal Analgesia for Paediatric Patients Undergoing Lower Limb Reconstruction with External Fixators: A Prospective Case Series of Post-operative Pain and Functional Goals. Strategies Trauma Limb Reconstr 2023;18(3):140-147.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".