Factores de morbimortalidad en pacientes operados de atresia de esófago
Bibliographic record
Abstract
I ntroduction: Esophageal atresia is a congenital malformation whose continuity is disrupted resulting in two segments, one above and one below. I t is estimated that every year there are between 500 and 600 new cases. S urvival is above 90%. The improvement in survival is not only due to surgical treatment, but also by advances in neonatal intensive care. O bjective: To identify risk factors for morbidity and mortality in patients surgically treated for esophageal atresia at the Hospital for Children of IMIEM. M aterial and methods: Pediatric patients undergoing surgery for esophageal atresia between October 2012 and 2014, with and without congenital or acquired comorbidity were studied. S tatistical analysis was performed using descriptive statistics. R esults: 19 patients underwent surgery for esophageal atresia at the Hospital for Children, 10 males and 9 females (1: 0.9), w ith mean gestational age of 37 ± 2 (range 32-41) weeks of gestation, median of 38 weeks of gestation. A ccording to the Classifi cation of Waterston, 13 (68.4%) patients corresponded to the group A, 1 (5.3%) to group B and 5 (26.3%) to group C. C lassifi cation according to Spitz, 12 (63.2%) patients corresponded to type I, 3 (15.8%) to type II and 4 (21%) to type III. A lso, according to the Montreal classifi cation 11 (57.9%) patients corresponded to type I and 8 (42.1%) type II. B efore 24 hours of life nine patients were operated, b etween 24 and 48 hours nine patients, and one patient after 48 hours. 6 4% of patients had congenital heart disease. 3 1.5% of patients who died showed nosocomial infections (pneumonia) or nosocomial sepsis. C onclusions: Congenital heart defects are 64% in our population, being 2.6 times higher than the world’s population, which implies an increased risk of morbidity and mortality. Nosocomial infections (pneumonia) and nosocomial sepsis accounted for 31.5% of the causes of hospital death.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".