FETAL HEART RATE AND DOPPLER BLOOD FLOW VELOCITY CHARACTERISTICS ASSOCIATED WITH PRENATAL SEROTONIN REUPTAKE INHIBITOR ANTIDEPRESSANT EXPOSURE
Bibliographic record
Abstract
Objective Serotonin reuptake inhibitor (SRI) antidepressant use in pregnancy has been associated with increased risks of low birth weight, preterm birth, persistent pulmonary hypertension and neurobehavioural disturbances; however, the impact on the fetal physiology remains extremely limited. Methods Fetal heart rate (FHR) and blood flow measurements were obtained in the morning (08:00 hours) and afternoon (13:00 hours) from mothers at 36 weeks gestation treated with an SRI (exposed; n = 11) and healthy mothers (non-exposed; n = 21). FHR was monitored using an Oxford Sonicaid System 8002. Doppler blood flow velocity waveforms in the middle cerebral artery (MCA), uterine and umbilical arteries and fetal right pulmonary artery, were done using an Aloka Prosound 5500 scanner. Results FHR accelerations in the exposed fetuses were significantly less than in the non-exposed fetuses during both sessions. Accelerations significantly increased from the morning to afternoon session in the non-exposed fetuses but did not occur in the exposed fetuses. MCA pulsatility index (PI) was significantly lower in the exposed fetuses in the morning only. This was due to a significant decrease in PI in the non-exposed fetuses in the afternoon that did not occur in the exposed fetuses. Similar findings were obtained with the MCA resistance index and S/D ratio. Third trimester maternal depressed mood was also controlled for in the analyses. Conclusions Human fetal exposure to SRI reduces FHR accelerations and MCA resistance, which may be due to alterations in brain function, and attenuates the alterations in both variables that occur during the day in non-exposed fetuses.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".