Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) in pregnancy: a case series of nine patients and review of literature
Bibliographic record
Abstract
BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic cardiomyopathy characterized by myocardial necrosis and fibrofatty substitution of the myocardium, predominantly of the right ventricle. The evaluation of risk associated with gestation and delivery in patients with ARVC is difficult due to the small number of already reported cases. We present our experience of patients with ARVC who completed a pregnancy and delivery. METHODS: A case series of nine women in Calgary, Canada, from 2013 to 2018, who were diagnosed with ARVC before or during pregnancy. Patients were identified using our Cardiac-Obstetrics database, and information was collected through electronic charts and patient recollection. RESULTS: All pregnancies reported were singleton with an average maternal age of 31 years. Six patients had a related genetic mutation. Beta blockers were being used by eight, and five had an implantable cardioverter-defibrillator (ICD) prior to the pregnancy. None of the patients developed heart failure during pregnancy, but one had a complicated antepartum and postpartum course. All pregnancies delivered at term with eight receiving neuroaxial analgesia. Five patients delivered vaginally. Those without an ICD had continuous cardiac monitoring intrapartum. The incidence of small for gestational age (33%) was higher than the general population. All of the patients breastfed the newborns. CONCLUSIONS: Pregnancies in these patients with ARVC were generally well tolerated. Given the rarity of the disease and absence of any clinical guidelines, multidisciplinary care is essential in the management of these patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".