Abstract 12635: Mortality Risks and Need For Transplant in Pediatric Heart Disease Associated With Lower Ses and Greater Remoteness of Residence From Cardiac Care
Bibliographic record
Abstract
Introduction: Socioeconomic status (SES) and remoteness of residence (RoR) may contribute to worse clinical outcomes. Whether this is true in universal healthcare is not certain. We sought to explore associations between SES and RoR, from centralized pediatric cardiac care, and a composite of mortality and need for transplant (Tx) in children with congenital (CHD) and acquired heart disease (AHD). Methods: All infants born in Alberta, Canada between 01/01/05 and 31/12/17, and diagnosed before 31/12/17 were included. CHD was categorized as mild, moderate or severe based on the Bethesda Task Force. AHD included cardiomyopathy, myocarditis, heart failure, rheumatic heart disease and endocarditis. Socioeconomic status (SES) was defined by the Canadian Index of Multiple Depravation’s vulnerability index and RoR was calculated using the drive time to one of two pediatric cardiology centers. Risk factors for a composite of mortality and Tx were explored using Cox proportional hazard regression. Results: Among 12,542 children, 74.5% (n=9347) had mild CHD, 13.8% (n=1733) moderate, 5.7% (n=717), severe and 5.9% (n=745) AHD. The composite outcome was highest in severe CHD (19.0%), compared to 13.0% in moderate, 0.5% for mild and 6.9% in AHD, with n=41 undergoing Tx. Among children with CHD, RoR (>180mins, p=0.018), but not SES, was associated with all-cause mortality/Tx (Table 1), while neither RoR (p=0.73) nor SES (p=0.98) were associated with cardiovascular (CV)-specific mortality/Tx. For AHD there was no association between RoR (p=0.73) and SES (p=0.98) with all-cause mortality/Tx (Table 1). Conclusions: Despite Canada’s universal healthcare, children with CHD who live remotely are at increased risk of all-cause mortality/Tx. This is independent of SES and was not true for children with AHD or CV mortality/Tx in those with CHD. Therefore, further understanding of the causes of death in children who live remotely with CHD may help in improving overall outcomes.
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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 | 0.001 |
| 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) | 0.004 | 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".