The analgesic efficacy of preoperative high dose (40 mg·kg<sup>–1</sup>) oral acetaminophen after bilateral myringotomy and tube insertion in children
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to measure the plasma levels and analgesic effectiveness of a dose of 40 mg x kg(-1) of preoperative oral acetaminophen. METHODS: Thirty children aged 55 (17-72) months undergoing bilateral myringotomy and tube insertion (BMT) received acetaminophen 40 mg x kg(-1) p.o. preoperatively. Plasma levels were measured, at 29 (10-51) min and at 60 min in the postanaesthesia care unit (PACU). Children's Hospital of Eastern Ontario Pain Scale (CHEOPS), for all subjects and the Poker Chip Tool (PCT) a self-report scale for subjects aged > 4 years, were used. After discharge, 24-h analgesic efficacy was evaluated using an observer Visual Analogue Scale (VAS) score and further acetaminophen use was recorded. RESULTS: Plasma concentrations were 259 (60-391) micromol x l(-1) and 250 (135-450) micromol x l(-1), respectively. All 60 min plasma concentrations were > or = 70 micromol x l(-1) (ED50 for adenotonsillectomy) and less than 800 micromol x l(-1) (associated with toxicity). Twenty-six subjects (87%) had adequate analgesia (CHEOPS < or = 8). The PCT was only understood in the PACU by 13 of the 21 children > 4 years (62%). The median worst 24-h observer VAS was 0.5 (0-5.5) (27 subjects). No further analgesic was required after discharge in 16/28 (57%). A higher plasma level was associated with fewer doses of acetaminophen after discharge (r = -0.36, P=0.05). CONCLUSIONS: No relationship was evident between age, the 60 min plasma acetaminophen level and the CHEOPS carried out at the same time. Acetaminophen 40 mg x g(-1) p.o. results in 60 min plasma levels of 250 (135-450) micromol x l(-1). The in-hospital analgesic efficacy was 87% (CHEOPS < 9, no further analgesics) and the 24-h efficacy was 57% (need for further acetaminophen).
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".