Antimüllerian hormone and antral follicle count thresholds for hyperresponse risk assessment in in vitro fertilization: a Hyperresponse Risk Assessment consensus study
Bibliographic record
Abstract
OBJECTIVE: To determine the serum antimüllerian hormone (AMH) and antral follicle count (AFC) thresholds indicating an increased risk of hyperresponse to ovarian stimulation (OS) during in vitro fertilization, as defined by the Hyperresponse Risk Assessment (HERA) Delphi Consensus. DESIGN: A retrospective multicenter cohort study. SUBJECTS: Women with normal ovarian reserve markers according to the POSEIDON criteria (AMH level of ≥1.2 ng/mL and AFC of ≥5) undergoing their first in vitro fertilization/ intracytoplasmic sperm injection cycle with conventional OS (follicle-stimulating hormone [FSH] level of ≥150 IU/d) using the gonadotropin-releasing hormone antagonist protocol (2015-2017) were included. EXPOSURE: Hyperresponse was defined as ≥15 retrieved oocytes, on the basis of the HERA definition, compared with non-HERA hyperresponders, defined as patients with ovarian reserve markers within the normal range per the POSEIDON criteria and with <15 oocytes retrieved. MAIN OUTCOME MEASURES: The primary outcome was the AMH and AFC threshold values, indicating an increased risk of a hyperresponse, using receiver operator characteristic curves. Outcomes were further stratified by patients' age (<35 and ≥35 years). Multivariable logistic regression explored factors associated with an HERA hyperresponse. RESULTS: A total of 4,220 patients were included, of whom 2,132 (50.5%) were hyperresponders. Receiver operator characteristic curves revealed the following thresholds for a hyperresponse: AMH level of ≥4.38 ng/mL (area under the curve [AUC], 0.71) and AFC of ≥16 (AUC, 0.80) for the entire cohort; AMH level of ≥4.95 ng/mL (AUC, 0.68) and AFC of ≥18 (AUC, 0.76) for women aged <35 years (N = 3,056); and AMH level of ≥4.33 ng/mL (AUC, 0.77) and AFC of ≥15 (AUC, 0.86) for women aged ≥35 years (N = 1,164). Older women received higher median daily and total FSH doses than younger women. The AMH, AFC, female age, daily/total gonadotropin dose, type of gonadotropin, and trigger strategy were significant predictors for hyperresponse. CONCLUSION: The AMH and AFC values at and above these thresholds warrant increased caution when planning gonadotropin dosing, regimen, and trigger strategies before OS. These thresholds were lower in older women, potentially due to higher FSH dosing in this population.
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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 | 0.061 | 0.069 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".