The relationship between postoperative opioid consumption and the incidence of hypoxemic events following total hip arthroplasty: a post hoc analysis
Bibliographic record
Abstract
Background: Postoperative opioid analgesia may cause respiratory depression. We assessed whether following total hip arthroplasty, placebo-adjusted reductions in morphine consumption at 48 hours with parecoxib (47.0%), propacetamol (35.1%) or parecoxib plus propacetamol (67.9%) translated into a reduction in hypoxemic events. Methods: This was a post hoc analysis of a randomized, placebo-controlled, noninferiority study. Patients were randomly assigned to receive intravenous parecoxib (40 mg twice daily), propacetamol (2 g 4 times daily), parecoxib plus propacetamol (40 mg twice daily + 2 g 4 times daily) or placebo. Dose, date and time of morphine administration via patient-controlled analgesia were monitored throughout the study. In patients not receiving supplemental oxygen, peripheral blood oxygenation was assessed continuously for 48 hours after surgery. Hypoxemia was defined as peripheral oxygen saturation less than 90%. The times and oximeter readings of hypoxemic events were recorded. Pearson correlation coefficient was used to assess for correlations between cumulative morphine consumption at 48 hours and mean number of hypoxemic events. Results: A significantly smaller proportion of patients who received the combined treatment with parecoxib and propacetamol had hypoxemia versus placebo (2.8% v. 13.2%, p < 0.05), and the mean number of hypoxemic events was significantly smaller for parecoxib (0.12), propacetamol (0.06) and parecoxib plus propacetamol (0.03) versus placebo (0.36; all p < 0.05). There was no correlation between the reduction in cumulative morphine consumption at 48 hours and the mean number of hypoxemic events in any treatment group (all p > 0.1). Conclusion: Following total hip arthroplasty, a greater than 70% reduction in morphine consumption may be necessary to translate into a corresponding reduction in hypoxemic events.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".