Abstract 4122486: Multicenter Study of Primary Fetal Cardiomyopathy: Clinical Outcomes And Genetic Etiologies, A Fetal Heart Society Research Collaborative Study
Bibliographic record
Abstract
Background: Fetal cardiomyopathy (FCM) affects 8 per 100,000 live births, often with unknown etiology. Progress in fetal cardiac screening, genetic testing and management may have impacted historically poor outcomes. Aims: We sought to investigate genetic associations and clinical outcomes of FCM in the current era. Methods: This was a retrospective Fetal Heart Society Research Collaborative cohort study of FCM cases diagnosed from January 2017-December 2021 in 39 centers. Cases of fetal myocardial disease attributable to maternal diabetes, structural heart disease, arrhythmia or extra-cardiac conditions were excluded. Data including outcomes to 1 year after birth were collected. Significance of genetic testing results and FCM subtype were classified by each center. Results: There were 138 FCM cases diagnosed at a median gestational age of 27 +4 weeks (range 13-39 weeks). Suspected fetal heart disease (41%, 56/138) was the most common referral indication. There was a known family history of CM in 19% (26/138). FCM phenotypes included 38% (52/138) dilated, 24% (33/138) hypertrophic, 17% (24/138) non-compacted, 10% (14/138) mixed, 5% (7/138) restrictive, 3% (4/138) ventricular aneurysm, 3% (4/138) unspecified. Hydrops was present at diagnosis in 15% (20/138) and by delivery or at fetal demise in 26% (36/138). Of 128 continued pregnancies, 7% (9/128) had a fetal demise, 92% (118/128) a live birth and one was lost to follow-up. Among live births, 10% (12/118) received only palliative care. Of 106 actively treated, 75% (80/106) survived to 1 year; 7% (7/106) required ECMO, and 22% (23/106) were listed for transplant with 18 of these successfully transplanted. Of the cohort, a total of 80% (110/138) had genetic testing (including 30 with invasive prenatal testing), with 38% (52/138) having a confirmed genetic etiology and 28% (38/138) with a variant of uncertain significance (VUS) (Figure 1). Transplant-free survival to 1 year was similar for those with and without a genetic diagnosis (40%,21/52 vs 47%,40/86, p=0.48). Conclusion: Outcomes remain poor in FCM, with <50% 1-year survival overall. Confirmed genetic etiologies are now identified in nearly 40%, highlighting the importance of genetic testing.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".