Abstract 13312: Risk Factors for the Development of Tachyarrhythmia Following the Norwood Procedure in the Single Ventricle Reconstruction Trial
Bibliographic record
Abstract
Background: Tachyarrhythmias are an important contributor to morbidity following the Norwood procedure for single ventricle congenital heart disease. The purpose of this study was to determine what demographic, preoperative, or operative factors may be associated with the development of postoperative tachyarrhythmias in this population. Methods: We performed a retrospective analysis of data collected prospectively through the multicenter Pediatric Heart Network Single Ventricle Reconstruction Trial for infants undergoing a Norwood procedure in 2005-2008. Our primary outcome of interest was any documented tachyarrhythmia requiring treatment or intervention during the inpatient postoperative stay. Subjects with a documented preoperative tachyarrhythmia (n=15) were excluded. After performing univariate chi-square analyses on a variety of candidate factors, we conducted multivariate stepwise logistic regression, including spline terms for nonlinearly associated variables, to calculate the adjusted odds ratios for the final variables. Results: Of 529 subjects, 108 (20%) had at least one documented tachyarrhythmia, with 11 having more than one. Tachyarrhythmias included: 77 supraventricular tachycardia, 23 junctional ectopic tachycardia, 10 atrial flutter, 7 ventricular tachycardia, and 2 atrial fibrillation. In the final multivariate model (c-statistic=0.65), significant factors associated with arrhythmia included receiving a modified Blalock-Taussig shunt, use of ultrafiltration, and age. (Table) Conclusions: Tachyarrhythmias are common following the Norwood procedure and are associated with the modifiable risk factors of shunt type and use of ultrafiltration. In addition, when surgery is performed between 8 and 20 days of age, older age is associated with a decreasing risk for tachyarrhythmia.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".