Early diagnosis of preeclampsia using placental growth factor: An operational pilot study in Maputo, Mozambique
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Bibliographic record
Abstract
In well-resourced settings, reduced circulating maternal free placental growth factor (PlGF) aids in either predicting or confirming the diagnosis of preeclampsia, fetal growth restriction, stillbirth, preterm birth, and delivery within 14 days of testing when pre-eclampsia is suspected. This operational pilot implementation of maternal plasma PlGF in women with suspected preeclampsia was conducted in six antenatal clinics in Maputo, Mozambique (six control clinics for comparison). The primary outcome was transfer to higher levels of care, following the informative PlGF assay. Of antenatal visits, 133/31,993 (0.42%) and 20/33,841 (0.06%) resulted in pre-eclampsia-related transfers of care for women attending intervention and control clinics, respectively (p < .0001). The clinic-to-delivery for women with low PlGF (<100 pg/ml) interval was shorter, (vs normal PlGF (median 10 days [IQR 1-25] vs 36 [11-83], p < .0001)). Low PlGF was associated with younger maternal age, higher blood pressure, earlier delivery, more therapeutic interventions, preterm birth, lower birth weight, and perinatal loss. In addition, one-third of hypertensive women with PlGF < 50 pg/ml suffered a stillbirth. In urban Mozambican women with symptoms and/or signs suggestive of preeclampsia, low maternal plasma PlGF concentrations are associated with increased risks of adverse pregnancy outcomes, especially early delivery and stillbirth. Therefore, introducing PlGF into the clinical care of women with suspected preeclampsia was associated with increased transfers to higher levels of care; low PlGF (<100 pg/ml) was associated with increased maternal and perinatal risks. PlGF < 50 pg/ml is particularly associated with stillbirth in women with suspected preeclampsia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it