Incidence of ESKD and Mortality among Children with Congenital Heart Disease after Cardiac Surgery
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Survival after surgical repair for congenital heart disease has markedly improved; however, there are limited data on long-term ESKD and mortality during childhood. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We conducted an observational, population-based cohort study of children who had their first surgery for congenital heart disease within 10 years of birth. The study was conducted in Ontario, Canada, where residents have universal access to health care services. Each child who underwent surgical repair was matched to ten children from the general population who were similar in age, sex, index date, rurality, and neighborhood income. Primary outcomes of all-cause mortality and ESKD were reported until March 2015. RESULTS: We followed 3600 children with congenital heart disease for a median of 5.9 (interquartile range, 2.9-9.0) years after their surgical repair. Median age at first surgery was 150 (interquartile range, 40-252) days and 22% were low birth weight (<2500 g). During follow-up, 140 (4%) children who had surgery for congenital heart disease died and 52 (1%) reached ESKD. The cumulative incidence of death and ESKD at 1, 5, and 10 years was higher in children with surgical repair of congenital heart disease (death: 3%, 4%, and 5%, respectively; ESKD: 1%, 2%, and 2%, respectively) compared with the matched control population without any congenital heart disease (death: 0.06%, 0.10%, and 0.13%, respectively; ESKD: 0.00%, 0.02%, and 0.02%, respectively). The risk of ESKD and death increased with severity of congenital heart disease, with the highest risk in children with hypoplastic left heart syndrome and increased in children who had surgical repair of congenital heart disease compared with those without surgical repair. CONCLUSIONS: The risk of mortality and ESKD is high in children who undergo surgical repair for congenital heart disease compared to the general 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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".