Successful Outcome in Pregnancy With Arterial Tortuosity Syndrome
Bibliographic record
Abstract
In Brief BACKGROUND: Arterial tortuosity syndrome is a rare, autosomal recessive, severe, connective tissue disorder caused by a mutation in the SLC2A10 gene. We describe the pregnancy and delivery with this high-risk connective tissue disorder involving generalized abnormalities of the vasculature. CASE: A woman with an undefined connective tissue disorder was referred for tertiary prenatal care. Diagnostic imaging demonstrated multiple pulmonary artery aneurysms and arterial tortuosity, consistent with a clinical diagnosis of arterial tortuosity syndrome. With a team considering all potential complications, a delivery plan was undertaken involving cesarean delivery and intensive perioperative and postpartum monitoring. The outcome was optimal for mother and neonate. Concurrent molecular testing demonstrated homozygosity for the SLC2A10 gene. CONCLUSION: Optimal maternal, fetal and neonatal outcomes were obtained with comprehensive multidisciplinary care and close maternal and fetal surveillance. In this case of arterial tortuosity syndrome, optimal maternal, fetal, and neonatal outcomes were obtained with comprehensive multidisciplinary care and close maternal and fetal surveillance.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".