Serial echocardiography for immune‐mediated heart disease in the fetus: results of a risk‐based prospective surveillance strategy
Bibliographic record
Abstract
OBJECTIVE: Mothers carrying anti-Ro antibodies are frequently referred for weekly echocardiograms to early detect and treat antibody-mediated fetal heart disease. We tested a surveillance strategy based on anti-Ro antibody titers. METHODS: From 2009 to 2014, 232 pregnancies were referred for maternal anti-Ro antibodies. At the baseline echocardiogram, anti-Ro titers were measured by enzyme-linked immunosorbent essay and results categorized as negative (<8 U/mL; n = 43; excluded), low-moderate positive (8-49 U/mL; n = 62; group 1) or high positive (50 - >100 U/mL; n = 127; group 2). Serial echocardiograms to ≥24 weeks were only recommended for group 2 mothers. RESULTS: Group 1 patients underwent significantly less fetal echocardiograms when compared with group 2 mothers (median 2 vs. 4; p < 0.001). Isolated endocardial fibroelastosis (n = 1) and incomplete (n = 4) or complete (n = 4) heart block were diagnosed in 9 (8%) pregnancies with anti-Ro titers >100 U/mL but none with lower titers (odds ratio 17.78; p = 0.004). Incomplete block and endocardial fibroelastosis regressed with transplacental corticosteroid and immune globulin therapy. CONCLUSIONS: Limiting serial fetal echocardiograms to women with high anti-Ro antibody levels is safe and more cost effective. While numbers of echocardiograms were significantly reduced in referrals with anti-Ro titers <50 U/mL, reversible abnormalities with prenatal treatment were detected by serial echocardiography in group 2 patients. © 2017 John Wiley & Sons, Ltd.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".