Flutter auricular neonatal: presentación de tres casos
Bibliographic record
Abstract
Introducción: El flutter auricular es un tipo poco frecuente de arritmia fetal y neonatal.A pesar de que puede conducir a graves morbilidades, como hidrops fetal o incluso el fallecimiento, el diagnóstico y tratamiento precoz confieren un buen pronóstico a la mayoría de los casos.Pacientes y métodos: Se presentan tres casos de flutter auricular, dos de inicio en periodo fetal y uno en periodo neonatal, y se revisa la literatura en relación con las características clínicas, diagnósticas y terapéuticas del flutter auricular fetal y neonatal.Resultados y discusión: En el flutter auricular fetal la terapia materna con fármacos antiarrítmicos es el tratamiento más empleado durante la gestación.El tratamiento postnatal más utilizado es la cardioversión eléctrica sincronizada.El flutter auricular no suele asociar cardiopatía estructural; la recidiva neonatal es poco habitual y normalmente no precisa la administración de tratamiento profiláctico.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".