EP131 In vitro evaluation of the effect of dexmedetomidine on oxytocin pre-treated pregnant human myometrium
Bibliographic record
Abstract
Background and Aims Postpartum hemorrhage (PPH) remains to be one of the leading causes of maternal morbidity and mortality attributed to the rising rate of uterine atony. Dexmedetomidine, a highly-selective alpha-2 agonist, has been used in obstetric practice due to its desirable effects. It has applications as an adjunct during neuraxial anesthesia, as well as in general anesthesia (GA) for caesarean delivery. Information on dexmedetomidine’s effect on the contractility of human myometrium remains limited. Methods Term pregnant patients scheduled for elective CD under regional anesthesia were included. Myometrial tissues were collected by the obstetrician after the delivery of the fetus and placenta and were immediately placed in buffer solution and transferred to the laboratory. Tissue samples were divided into 3 strips and were mounted individually in organ bath chambers filled with physiological salt solution (PSS). Myometrial contractions recorded and were used for analysis as baseline equilibration contractions. The myometrial strips were pre-treated with oxytocin 10-5M for 2 hours and assigned to 3 groups: 1) Dex group (subjected to dose-response testing with increasing concentrations of dexmedetomidine10-9M to 10-4M), 2) Dex + Oxy group (received oxytocin at 20nM along with dexmedetomidine 10-9M to 10-4M), and 3) Control (only oxytocin 20nM). Results There is a 363% increase in relative motility index recorded in the Dex group at 10-4M concentration. There is also an increase in relative MI in Dex + Oxy group however it was not significant (196%) owing to the desensitization phenomenon. Conclusions Dexmedetomidine significantly caused an increase in myometrial contractility of pregnant human myometrium at 10-4M concentration. Initial approval 22-0152-A
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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 | 0.000 |
| 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".