Prenatal Anti‐Ro Antibody Exposure, Congenital Complete Atrioventricular Heart Block, and High‐Dose Steroid Therapy: Impact on Neurocognitive Outcome in School‐Age Children
Bibliographic record
Abstract
OBJECTIVE: To determine the impact of prenatal exposure to maternal anti-Ro antibodies, slow fetal heart rate, and/or prolonged dexamethasone therapy for immune-mediated congenital atrioventricular heart block (CAVB) on the cognitive and academic performance of these children at school age. METHODS: We performed a prospective, blinded assessment of the cognitive functioning of 3 cohorts of children ages 6-16 years with in utero exposure to maternal anti-Ro antibodies in the following groups: no CAVB and no prenatal dexamethasone treatment (n = 14), CAVB without prenatal treatment (n = 10), and CAVB with prenatal dexamethasone treatment (n = 16). Domains assessed included intelligence, visual perceptual and visual motor skills, auditory and visual attention, verbal learning and memory, visual memory, executive function, and behavior. RESULTS: All cohorts scored within the normal range and were not significantly different in terms of intelligence scores, verbal comprehension, perceptional reasoning, working memory, and processing speed. For children with CAVB who were treated prenatally, there were no significant associations between the neurocognitive function scores, the minimal fetal heart rate (range 47-80 beats per minute), and either the duration (range 2-15 weeks) or dosage (range 56-824 mg) of dexamethasone therapy. CONCLUSION: CAVB and transplacental treatment with dexamethasone was not associated with neurocognitive impairment in school-age children. Larger numbers of children are needed to validate our observation, and assessment of other cognitive abilities is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".