Complicações pulmonares em crianças submetidas à cirurgia cardíaca em um hospital universitário
Bibliographic record
Abstract
OBJECTIVE: To identify the prevalence of pulmonary complications in children undergone cardiac surgery, as well as demographic and clinical characteristics of this population. METHODS: The sample comprised 37 children of both genders, underwent cardiac surgery at the Hospital Universitário Presidente Dutra, São Luis (MA) during the year of 2007. There were not included patients who had lung disease in pre-operative period, patients with neurological disorders, intra-operative death besides lack of data in medical records. The data were obtained from general medical and nursing staff of their medical records. RESULTS: The population of the study was predominantly composed by female children, from the countryside and at school age. Pathologies considered low risk were the majority, especially the patent ductus arteriosus, interventricular communication and interatrial communication. It was observed that the largest share of children made use of cardiopulmonary bypass for more than 30 minutes, with a median of 80 minutes, suffered a median sternotomy, using only the mediastinal drain and made use of mechanical ventilation after surgery, with the median about 6.6 hours. Only three (8.1%) patients developed pulmonary complications, and of these, two died. CONCLUSION: Most of the sample was female, school aged and from the countryside. The low time of cardiopulmonary bypass and mechanical ventilation, and congenital heart disease with low risk, may have been factors that contributed to the low rate of pulmonary complications postoperative.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".