A standardized post-cesarean analgesia regimen reduces postpartum opioid use
Bibliographic record
Abstract
Background Optimal post-cesarean pain control is important. With the rising opioid epidemic it is imperative to maximize non-opioid based primary approaches to post-cesarean pain control. In 2018, we implemented a standardized post-cesarean analgesia regimen.Objective To determine if implementation of a standardized postoperative analgesic regimen decreases opioid use following cesarean birth.Study design A standardized postoperative analgesia protocol was implemented in June 2018, which included scheduled oral acetaminophen (975 mg every 6 h) and nonsteroidal anti-inflammatory drugs (NSAIDs) (ketorolac 15 mg IV every 6 h for 5 doses followed by ibuprofen 600 mg oral every 6 h) with opioids available for breakthrough pain. There was no prior standardized protocol. A before-and-after study design was used to compare oral morphine milligram equivalents (MME) for nine months prior to and nine months after this protocol was implemented, excluding the two month period of protocol rollout. Women with opioid use disorder or postoperative intubation were excluded. The primary outcome was the cumulative MME used in the first 72 h postoperatively. Total dose at 12, 24, and 48 h were also compared.Results Of 2340 women who underwent cesarean birth during the study period (1 July 2017 − 30 April 2019), 2001 women met inclusion criteria (914 before 10 April 2018 (pre-protocol) and 1087 after 17 June 2018 (post-protocol)). Baseline characteristics of the two groups were similar, including gestational age at delivery, maternal body mass index (BMI), planned versus unplanned cesarean birth, and type of intraoperative anesthesia used. The cumulative opioid dose in the first 72 h postoperatively was 216.3 ± 84.3 MME prior to implementation compared to 171.5 ± 91.5 MME following implementation (p < .001). The average cumulative MME use was higher in the pre-protocol period compared to post-protocol at all time periods: 12 h (57.3 ± 23.8 vs 48.6 ± 26.2 MME, p < .001), 24 h (98.1 ± 34.1 vs 82.1 ± 38.8 MME, p < .001), and 48 h (165.8 ± 58.3 vs 134.9 ± 66.2 MME, p < .001). The average pain scores were lower in the pre-protocol group (3 vs 3.3, p < .001).Conclusion Scheduled administration of acetaminophen and NSAIDs following cesarean birth significantly decreased the cumulative dose of opioids used in the first 72 h postoperatively.
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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 | 0.001 | 0.005 |
| 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".