Ventricular tachycardia in fetus and neonate: a single centre experience
Bibliographic record
Abstract
BACKGROUND: Ventricular tachycardia is a rare condition in the fetus and neonate with a paucity of data regarding the management and outcomes. METHODS: We reviewed the clinical histories, associated CHD and syndromes, diagnostic investigations, management strategies, and outcomes for all fetuses and neonates with ventricular tachycardia encountered between 2005 and 2020. RESULTS: Five fetal and 8 neonatal cases of ventricular tachycardia were encountered. Two (40%) fetal cases, compared to 5 (62%) neonatal cases had CHD (p = 0.59), and only 1 fetus had cardiomyopathy with findings suggesting restriction before ventricular tachycardia onset. The median age at ventricular tachycardia presentation was 32 (26-37) weeks for fetal and 11 (1-27) days for neonatal cases. Of the fetal cases, 2 were initially treated trans-placentally with propranolol and 2 with amiodarone. Two fetuses (40%) had ventricular tachycardia suppression prenatally that recurred during the neonatal period necessitating propranolol therapy, 2 (40%) had resolution before birth with no postnatal recurrence, and the cardiomyopathy case never achieved full control, developed hydrops and demised. Of the neonatal cases, 4 received intravenous antiarrhythmics on admission: 3 amiodarone and 1 esmolol, and 2 of these were converted to propranolol and 2 to sotalol. Three other neonates initially received propranolol, with 1 discharged on propranolol, 1 on sotalol, and 1 on mexiletine after failed propranolol and sotalol treatment. The 8th neonate was discharged on no medication. CONCLUSION: Most fetal and neonatal ventricular tachycardia is manageable with pharmacologic therapy. Given its rarity, larger studies are needed to identify optimal management strategies.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".