Anesthetic management for oocyte retrieval: An exploratory analysis comparing outcome in in vitro fertilization cycles with and without pre-implantation genetic diagnosis
Bibliographic record
Abstract
PURPOSE: To date, there has been no comparison of outcomes in women undergoing anesthesia for in vitro fertilization (IVF) oocyte retrieval for the purpose of pre-implantation genetic diagnosis (PGD) because of their or their partner's genetic disease relative to the outcome in women requiring IVF because of fertility issues. MATERIALS AND METHODS: A prospective observational study, wherein all demographic and anesthetic management data were collected from IVF and PGD units' records for a 6-month period. Descriptive analyses and parametric tests were employed. RESULTS: There were 307 cases IVF and 76 cases PGD: most (97.4% and 99.7%, respectively) received general anesthesia with propofol and fentanyl ± dipyrone (90.5% and 93.3%, respectively) with no adverse effects. The only statistically significant difference between IVF and PGD groups that was potentially clinically significant was post-procedure recovery time (23.0 ± 20.4 vs. 29.4 ± 35.8 min, respectively; P < 0.0001), but is explainable as greater caution by Anesthesiologists for higher-risk PGD cases having autosomal dominant diseases that may impact anesthesia management (myotonic dystrophy, neurofibromatosis, Marfan's); two of these cases also recovered in the general post-anesthesia care unit, as a precaution for early diagnosis and treatment of potential post-procedural complication. CONCLUSIONS: Results of this first-ever survey of anesthesia for PGD compared with IVF cases imply that propofol-and-fentanyl-based anesthesia is safe and can be recommended, bearing in mind that with patients who have autosomal dominant diseases impacting anesthetic management it is prudent to be more cautious post-recovery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".