Inmunodeficiencia combinada grave: informe de caso
Bibliographic record
Abstract
Introducción: La inmunodefi ciencia combinada grave se caracteriza por defecto inmunológico, debido a linfopenia de células T, con o sin defi ciencia de células B y células NK, provocando infecciones graves y de inicio temprano en la vida por agentes oportunistas como hongos, bacterias y/o virus, representando una emergencia pediátrica.Reporte de caso: Presentamos el caso de un paciente masculino que a los dos meses de edad presentó fi ebre persistente, linfopenia y ausencia de sombra tímica en la radiografía de tórax; además, se integró el diagnóstico de inmunodefi ciencia combinada grave con niveles de inmunoglobulinas bajos, tamiz metabólico neonatal ampliado con cuantifi cación de círculos de escisión del receptor de células T (TREC's) y subpoblaciones de linfocitos bajos.Se estableció tratamiento con gammaglobulina intravenosa y recibió trasplante de células progenitoras hematopoyéticas, lo cual fracasó por infección viral enteral crónica y falleció posterior a sepsis gastrointestinal con choque séptico.Conclusión: La presentación temprana y gravedad de síntomas deben hacer la sospecha para un diagnóstico y tratamiento oportuno, con un impacto directo en el pronóstico y calidad de vida.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".