Effects of Selective Serotonin Reuptake Inhibitors and Venlafaxine During Pregnancy in Term and Preterm Neonates
Bibliographic record
Abstract
OBJECTIVES: Our goals were to (a) describe neonatal behavioral signs in a group of newborns exposed in utero to selective serotonin reuptake inhibitors or venlafaxine at the time of delivery, (b) compare the rate of neonatal behavioral signs, prematurity, and admission to specialized neonatal care between a group of exposed and unexposed newborns, and (c) compare the effects in exposed preterm and term newborns. PATIENTS AND METHODS: This was a retrospective cohort study including mothers taking selective serotonin reuptake inhibitors or venlafaxine during the third trimester and mothers who were not taking any antidepressants, psychotropic agents, or benzodiazepines at the time of delivery of their newborns. Neonatal behavioral signs included central nervous, respiratory, and digestive systems, as well as hypoglycemia and the need for phototherapy. RESULTS: Seventy-six mothers taking antidepressants and 90 untreated mothers and their newborns were analyzed. Smoking, alcohol intake, and substance abuse were more frequent among treated mothers. In infants in the exposed group, signs involving the central nervous and the respiratory systems were often observed (63.2% and 40.8%, respectively). These signs appeared during the first day of life, with a median duration of 3 days for exposed newborns. The signs resolved in 75% of cases within 3 to 5 days for term and premature newborns, respectively. All exposed premature newborns presented behavioral manifestations compared with 69.1% of term exposed newborns. Median length of stay was almost 4 times longer for exposed premature newborns than for those who were unexposed (14.5 vs 3.7 days). CONCLUSIONS: Neonatal behavioral signs were frequently found in exposed newborns, but symptoms were transient and self-limited. Premature infants could be more susceptible to the effects of selective serotonin reuptake inhibitors and venlafaxine.
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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 | 0.001 | 0.003 |
| 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 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".