Survival and Neurocognitive Outcomes After Cardiac Extracorporeal Life Support in Children Less Than 5 Years of Age
Bibliographic record
Abstract
BACKGROUND: Survival after pediatric cardiac extracorporeal life support (ECLS) is guarded, and neurological morbidity varies widely. Our objective is to report our 10-year experience with cardiac ECLS, including survival and kindergarten entry neurocognitive outcomes; to identify predictors of mortality or adverse neurocognitive outcomes; and to compare 2 eras, before and after 2005. METHODS AND RESULTS: From 2000 to 2009, 98 children had venoarterial cardiac ECLS. Sixty-four patients (65%) survived to hospital discharge, and 50 (51%) survived ≤5 years of age. Neurocognitive follow-up of survivors was completed at mean (SD) age of 52.9 (8) months using Wechsler Preschool and Primary Scale of Intelligence. Logistic regression analysis found the longer time (hours) for lactate to fall below 2 mmol/L on ECLS (hazard ratio, 1.39; 95% confidence interval, 1.05, 1.84; P=0.022), and the amount of platelets (mL/kg) given in the first 48 hours (hazard ratio, 1.18; 95% confidence interval, 1.06, 1.32; P=0.002) was independently associated with higher in-hospital mortality. Receiving ECLS after the year 2005 was independently associated with lower risk of in-hospital mortality (hazard ratio, 0.36; 95% confidence interval, 0.13, 0.99; P=0.048). Extracorporeal cardiopulmonary resuscitation was not independently associated with mortality or neurocognitive outcomes. Era was not independently associated with neurocognitive outcomes. The full-scale intelligence quotient of survivors without chromosomal abnormalities was 79.7 (16.6) with 25% below 2 SD of the population mean. CONCLUSIONS: Mortality has improved over time; time for lactate to fall on ECLS and volume of platelets transfused are independent predictors of mortality. Extracorporeal cardiopulmonary resuscitation and era were not independently associated with neurocognitive outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".