End-Stage Liver Disease Models and Outcomes in Pediatric Patients Supported With Short-Term Continuous-Flow Ventricular Assist Devices
Bibliographic record
Abstract
Short-term continuous-flow ventricular assist devices (STCF-VADs) are increasingly being utilized in pediatrics. End-stage liver disease (ELD) models have been associated with outcomes in adult patients on mechanical circulatory support. We sought to determine the relationship between outcomes in children on STCF-VADs and three ELD models: model for end-stage liver disease-excluding international normalized ratio (MELD-XI; all) and MELD-XI (> 1 year), PELD, and a novel score, PedMELD-XI. All patients (< 19 years) supported with STCF-VADs, between June 2009 and December 2016 were included. The MELD-XI, PELD, and PedMELD-XI scores were calculated and their association with adverse events and a composite measure of death, major bleeding, and neurologic dysfunction was analyzed. Of 32 patients, median age was 0.57 years (interquartile range [IQR], 0.10-4.43), median weight was 7.15 kg (IQR, 3.68-16.53), 53.1% had congenital heart disease, and 53.1% were male. In total, 78.1% patients experienced an adverse event (78.1% a major bleed, 25.0% neurologic dysfunction, and 15.6% death). The median MELD-XI score was 11.17 (IQR, 9.44-30.01), MELD-XI (>1 year) 9.44 (IQR, 9.44-24.33), PELD 6.00 (IQR, 4.00-13.75), and PedMELD-XI -14.91 (IQR, -18.85 to -12.25). A higher MELD-XI for all ages (13.80 vs. 9.44, p = 0.037) and less negative PedMELD-XI (-14.16 vs. -19.34, p = 0.028) scores were significantly associated with bleeding and the composite outcome. PedMELD-XI was significantly associated with death (-12.87 vs. -16.84, p = 0.041) while a trend was seen for increased MELD-XI in all ages being associated with death (31.52 vs. 10.11, p = 0.051). Last, there was no association with the models and neurologic events. MELD-XI and PedMELD-XI were significantly associated with major bleeding and the composite endpoints with PedMELD-XI also being associated with death. These results suggest that ELD models can be used to predict outcomes in this specific patient population, however, further analysis in a larger population is required.
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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 | 0.001 |
| 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".