P27Unusual fetal infection leading to early IUGR and hydrocephaly: case report
Bibliographic record
Abstract
LRK, 34 years‐old, primigravida, had first scan done at 10 weeks 1 day with CRL compatible with 9 weeks + 5 days. At 12 weeks 2 days, nucal translucency measured 1.0 mm, Doppler velocimetry of ductus venosus (positive A wave) showed posite A wave and CRL measured 46 mm (11 weeks 4 days). At 21 weeks + 6 days the anomaly scan revealed dilatation of cerebral ventricles, asymmetric IUGR (measurement compatible for 17w + 6d), oligohydramnios and severe placentomegaly. Amniocentesis showed normal karyotipe (46XX). MRI was performed at 22 weeks, using T2 sequence and single shot fast spin echo (SSFSE) without maternal or fetal sedation. Global dilatation of cerebral ventricles, without signs of obstruction or other CNS malformations. Delivery was induced after spontaneous fetal death at 23 weeks, a female stillborn weighting 240g showed no other malformation then those described in CNS. Anatomo pathologic evaluation of the brain revealed encephalitis and periventriculitis and placenta showed severe vilositis. Immuno‐histochemistry of the brain/placenta was negative for herpesvirus and CMV, but adenovirus was positive in both tissues. Maternal serology from the begining of pregnancy showed no antibodies against toxoplasmosis, HIV or syphilis and acquired antibodies to rubella, CMV, Hepatitis B. At delivery all this serologies were repeated and results remained the same. Maternal serology for adenovirus in a stored sample collected at 18 weeks showed a 1/8 titre. Discussion Besides the usual torch infection, other infections can severely affect otherwise normal pregnancies. The identification of other possible infection agents may help to elucidate the so‐called ‘idiophatic’ causes of spontaneous fetal death. We suggest the inclusion of adenovirus in the infection screening of such cases.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".