Quality of recovery after pericapsular nerve group (PENG) block for primary total hip arthroplasty under spinal anaesthesia: a randomised controlled observer-blinded trial
Bibliographic record
Abstract
BACKGROUND: The pericapsular nerve group (PENG) block is a novel regional anaesthesia technique that has been proposed as an effective motor-sparing block for total hip arthroplasty. Recent randomised studies show conflicting results regarding the analgesic efficacy of the PENG block for total hip arthroplasty. METHODS: We conducted a randomised controlled observer-blinded single-centre superiority trial comparing the efficacy of the PENG block with no block for patients undergoing primary total hip arthroplasty under spinal anaesthesia. All subjects received multimodal analgesia consisting of paracetamol and celecoxib. The primary outcome was quality of recovery (QoR) at 24 h as measured by the QoR-15 questionnaire. RESULTS: A total of 112 participants (56 in each group) were included in the analysis. The median (inter-quartile range [IQR]) 24-h QoR-15 scores were higher in subjects who received a PENG block (132 [116-138]) compared with subjects who did not (103 [97-112]) with a median difference of 26 (95% confidence interval, 18-31; P<0.001). Similarly, QoR-15 at 48 h was higher in the PENG group, and opioid use at 24 and 48 h postoperatively was significantly lower in the PENG group. However, we did not find significant differences in pain score, distance to ambulation, or anti-emetic use at any time point. We did not observe any PENG block-related complications. CONCLUSION: Adding a PENG block to a multimodal analgesia regimen that includes paracetamol and celecoxib improves the quality of recovery and reduces opioid requirements for patients undergoing primary total hip arthroplasty under spinal anaesthesia. CLINICAL TRIAL REGISTRATION: NCT04591353.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".