Abstract 17203: Postnatal Management of Fetuses With Ebstein Anomaly or Tricuspid Valve Dysplasia in the Current Era: A Multi-center Study
Bibliographic record
Abstract
Background: A recent multi-center study of perinatal outcome in fetuses with Ebstein anomaly or tricuspid valve dysplasia (EA/TVD) found that 1/3rd of live-born patients (pts) died prior to hospital discharge. The purpose of this study was to explore differences in postnatal management and the relationship to outcome. Methods: This 23-center, retrospective study included 243 fetuses with EA/TVD from 2005 to 2011. Neonatal procedure (NP) was defined as surgery or interventional catheterization (cath) prior to discharge. Associations between postnatal management and outcome at discharge were explored. Results: Of 176 live-born pts, 7 received comfort care only, 11 died <24 hrs of life, and 4 had insufficient data. Among 154 remaining pts, 38 (25%) did not survive to discharge. Pts who required ECMO at any point (n=18) had 83% mortality. More than half of pts (54%) did not have an NP, 34% had surgery, 8% had interventional cath, and 4% had both. The median age at 1st NP was 6 days (quartiles: 1-11). Survival did not differ between pts who had an NP and those who did not (70% vs. 80%; p=0.19) or between pts who had surgery and those who did not (68% vs. 80%; p=0.09). However, mortality differed by NP performed and whether pulmonary regurgitation, an indicator of high risk, was present prenatally (Figure). No pts with a right ventricular exclusion (RVE) died. Of 49 surviving neonates with ≥1 procedure, 28 (57%) were palliated with a shunt or RVE and 21 (43%) had a biventricular circulation. Thus, in total, 86 of 154 live-born pts (56%) survived with a biventricular circulation: 65 with medical management only and 21 with ≥1 NP. Conclusion: Among live-born pts diagnosed with EA/TVD in utero, a variety of postnatal management strategies were employed with overall poor outcomes. If surgery beyond PDA ligation is necessary, then RVE or other palliative procedure may need to be considered. A prospective, multi-center study utilizing a management algorithm would help elucidate the optimal strategy.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".