VP42.04: The feasibility of implementation of pre‐eclampsia screening and prevention
Bibliographic record
Abstract
acceptability (PE screening uptake, aspirin initiation); operational impact (additional time taken); impact of performance audit of biochemical and biophysical markers. Prospective feasibility study. Consecutive pregnant women referred for FTS (11-13+6 weeks) consenting to PE screening based on maternal risk factors, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UTAD PI), pregnancy-associated plasma protein-A (PAPP-A) and placental growth factor (PLGF)). Risk for preterm PE (< 37 weeks) calculated using FMF UK algorithm. Women identified at high-risk (≧1/100) advised to initiate aspirin under supervision of their primary healthcare provider (162 mg OD @hs from < 16 to 36 weeks). All operators FMF UK certified, regular performance audit. Between Dec 1, 2020-April 23, 2021, 1123 pregnant women consented to PE screening (98.3% uptake), 8.2% screen positive rate. The expected number of cases of preterm PE overall was 5.8 (0.5%), of these, 4.1 (69%) screened positive for preterm PE (< 37 weeks). Appointments for women receiving FTS aneuploidy and PE screening took on average 10 minutes longer than for those receiving FTS alone, adding UTAD PI averaged 2 minutes. Performance audit identified MAP to be 10% lower than expected (adjustment factor has since been applied); other variables satisfactory. Of screen positives contacted at 14-15 week's gestation (n = 70), 87% had initiated aspirin, 12.8% did not; 22 have not yet responded. This study demonstrates the feasibility of implementing an evidence-based PE screening and prevention program. The importance of regular performance audit of biochemical and biophysical variables is demonstrated. This data will facilitate implementation as a clinical service. Impacts on local obstetrical and health services outcomes will be examined.
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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 | 0.011 |
| 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) | 0.000 | 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".