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Record W3081745175 · doi:10.1016/j.xfre.2020.08.009

Impact of class III obesity on outcomes and complications of transvaginal ultrasound-guided oocyte pickup

2020· article· en· W3081745175 on OpenAlexaff
Tina Liang, Kelsey N. Ruetz, Olga Haakman, Angelos G. Vilos, George A. Vilos, Basim Abu‐Rafea

Bibliographic record

VenueF&S Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineBody mass indexSedationOdds ratioConfidence intervalMidazolamObesityGynecologyObstetricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

ObjectiveTo assess the impact of class III obesity on outcomes and complications of transvaginal ultrasound-guided oocyte pickup (OPU).DesignRetrospective cohort study.SettingHospital-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/m2).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/m2. 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/m2, those with BMI ≥40 kg/m2 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/m2 compared with 5.2% with BMI <25 kg/m2 (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/m2 compared with 1.3% with BMI <25 kg/m2 (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/m2.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. To assess the impact of class III obesity on outcomes and complications of transvaginal ultrasound-guided oocyte pickup (OPU). Retrospective cohort study. Hospital-based fertility clinic. 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/m2). Transvaginal OPU under conscious sedation. Sedation and procedure-related parameters and complications. A total of 2,141 OPU procedures in 1,579 patients were analyzed, including 121 OPU procedures in 94 patients with BMI ≥40 kg/m2. 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/m2, those with BMI ≥40 kg/m2 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/m2 compared with 5.2% with BMI <25 kg/m2 (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/m2 compared with 1.3% with BMI <25 kg/m2 (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/m2. 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.315
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations8
Published2020
Admission routes1
Has abstractyes

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