Abstract 13863: Incidence and Clinical Significance of Cardiac Arrhythmias During Labor
Bibliographic record
Abstract
Introduction: Physiologic changes during pregnancy can predispose mothers to new-onset cardiac arrhythmia. Women with a history of cardiac arrhythmia are at increased risk of recurrence or worsening of previously identified conditions. Previous studies have demonstrated that women with heart disease are at increased risk of maternal morbidity and mortality. However, few studies have explored the prevalence and clinical significance of maternal arrhythmias specifically. Objectives: The objectives of this study are to define the prevalence of arrhythmias in pregnancy and labor, identify risk factors for having such arrhythmias in patients both with and without prior history of cardiac arrhythmia, and examine the association between cardiac arrhythmias and adverse maternal outcomes. Methods: The medical records of patients admitted for delivery to any of the 13 hospitals in Northwell Health utilizing the electronic medical records from Jan 2012 - Dec 2020 were reviewed to identify patients with a history or current diagnosis of cardiac arrhythmia. Outcomes including Cesarean section, length of stay (LOS), infant requiring care in the neonatal intensive care unit (NICU) were evaluated between the arrhythmia group and a subset of deliveries without arrhythmias (controls). Results: Out of 141,772 patients, 88 were identified with a history of and/or current SVT and 87 were compared with 334 controls. The sample had mean age 31.7 ± 5.2 years, median length of stay 3 days (IQR 2-3), and median parity 2 (IQR 1-2). When adjusting for age and parity, logistic regression showed SVT was significantly associated with C-section (OR 1.9, CI 1.1-3.1, AUC 0.69 p=0.01). Fisher’s exact test showed SVT was associated with admission to NICU (p=0.03). Cox proportional hazards regression found SVT was not associated with LOS (HR 0.8, CI 0.6-1.0, p=0.06) when adjusted for age and parity. Conclusion: A history of SVT and/or current SVT during labor was associated with C-sections and NICU admissions but was not associated with LOS. These findings may help guide treatment strategies for this patient population.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".