Impact of class III obesity on outcomes and complications of transvaginal ultrasound-guided oocyte pickup
Bibliographic record
Abstract
Objective To assess the impact of class III obesity on outcomes and complications of transvaginal ultrasound-guided oocyte pickup (OPU). Design Retrospective cohort study. Setting Hospital-based fertility clinic. Patient(s) All women undergoing OPU procedures during autologous in vitro fertilization (IVF) and oocyte banking cycles, grouped by patient body mass index (BMI: <25, 25–29.9, 30–34.9, 35–39.9, ≥40 kg/m 2 ). Intervention(s) Transvaginal OPU under conscious sedation. Main Outcome Measure(s) Sedation and procedure-related parameters and complications. Result(s) A total of 2,141 OPU procedures in 1,579 patients were analyzed, including 121 OPU procedures in 94 patients with BMI ≥40 kg/m 2 . There was a statistically significant increase in total fentanyl and midazolam doses and procedure duration as BMI increased. Compared with patients with BMI <25 kg/m 2 , those with BMI ≥40 kg/m 2 were more likely to require additional sedation during the procedure (adjusted odds ratio [aOR] 1.99; 95% confidence interval [CI], 1.14–3.49). The rate of difficult access was 28.9% for procedures with BMI ≥40 kg/m 2 compared with 5.2% with BMI <25 kg/m 2 (aOR 7.57; 95% CI, 4.66–12.29). The OPU was incomplete due to inaccessible follicles through a transvaginal approach in 18.2% of procedures with BMI ≥40 kg/m 2 compared with 1.3% with BMI <25 kg/m 2 (aOR 16.94; 95% CI, 8.24–34.84). The rates of sedation and procedure-related complications were low, and none occurred in patients with BMI ≥40 kg/m 2 . Conclusion(s) There was no increased risk of complications for women with class III obesity undergoing OPU with conscious sedation. However, the operator was more likely to encounter difficult access and to incompletely aspirate follicles through a transvaginal approach.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".