Evaluación renal y multiorgánica en el paciente con encefalopatía hipóxico-isquémica
Bibliographic record
Abstract
Introducción: La encefalopatía hipóxico-isquémica (EHI) moderada-grave secundaria a asfixia perinatal puede afectar a cualquier órgano, empeorando el pronóstico.Objetivo: Evaluar la afectación renal y multiorgánica de estos pacientes.Material y método: Se incluyó a recién nacidos > 35 semanas con EHI moderada-grave tratados con hipotermia activa entre 2010 y 2020.Se evaluó la creatinina en tres periodos: 48-72 horas de vida, entre el 3.o y 7.o día de vida y del 7.o al 28.o día de vida.Resultados: Se incluyeron 135 pacientes: 112 con EHI moderada y 23 con EHI grave.Al comparar ambos grupos, se obtuvieron diferencias significativas a las 48-72 horas y entre 3.o-7.odía de vida.No hubo diferencias al comparar el método de hipotermia.Los pacientes con EHI grave presentaron mayor afectación hemodinámica, respiratoria y hepática.Conclusiones: Neonatos con EHI grave presentan aumento de los niveles de creatinina sérica y mayor afectación multiorgánica respecto a aquellos con EHI moderada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".