Effect of preemptive multimodal analgesia for arthroscopic knee ligament repair
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Administration of analgesic medication before surgery, rather than at the completion of the procedure, may reduce postoperative pain. Similarly, administration of multiple analgesics, with different mechanisms of action, may provide improved postoperative pain control and functional recovery. The purpose of our study was to compare pain scores and intravenous opioid consumption after outpatient anterior cruciate ligament (ACL) reconstruction in patients who received a multimodal drug combination (intravenous [IV] ketorolac, intra-articular morphine/ropivacaine/epinephrine, and femoral nerve block with ropivacaine) either before surgery or immediately at the completion of the surgical procedure. METHODS: Forty patients presenting for same-day arthroscopic ACL repair using a semitendinosis tendon graft were included in this study. The patients were randomized to receive the following drugs either 15 minutes before skin incision or immediately after skin closure: (1) Ketorolac 30 mg IV. (2) Intra-articular injection of 20 mL ropivacaine 0.25% + morphine 2 mg and epinephrine 1:200,000. (3) Femoral nerve block with 20 mL ropivacaine 0.25%. Verbal pain scores were obtained in the postanesthesia care unit (PACU) and on postoperative days 1, 3, and 7. IV patient controlled analgesia (PCA) morphine consumption in the PACU was also recorded. RESULTS: Verbal pain rating scores were lower in group I (preemptive) for 2.0 hours after arrival in the PACU. There was no difference between groups in pain scores on postoperative days 1, 3, and 7. Mean IV PCA morphine consumption in the PACU was lower in group I (6.4 mg) versus group II (12.3 mg), P <.05. CONCLUSION: Preemptive, multimodal administration of our 3-component analgesic drug combination resulted in lower pain scores during the initial stay in the PACU unit and lower consumption of IV PCA morphine in the PACU. However, pain scores were similar in both groups on postoperative days 1, 3, and 7; thus, there was no measurable long-term advantage associated with preemptive multimodal drug administration.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".