Combined pathogenic characteristics to analyze susceptibility factors of postoperative pneumonia in patients undergoing cardiac surgery
Bibliographic record
Abstract
Postoperative infection prevention is crucial for cardiac surgery patients. This study enrolled 579 cardiac surgery patients from November 2021 to July 2022, reporting a 12.3% incidence of postoperative pneumonia. Blood sugar, Montreal Cognitive Assessment (MoCA) scores, respiratory failure, and complications were linked to respiratory infections. Significant differences in biomarkers, including creatine kinase, urine volume, alanine transaminase (ALT), hemoglobin, and PaO2/FiO2, were observed between pneumonia types. Bacterial pneumonia cases showed positive correlations between ALT, urine volume, and infection, while hemoglobin and PaO2/FiO2 correlated negatively. The most common pathogens were Klebsiella pneumoniae (20.3%), Acinetobacter baumannii (11.6%), and Pseudomonas aeruginosa (10.9%). Identifying susceptibility factors and pathogenic characteristics can guide effective prevention strategies. Monitoring and oxygen therapy remain essential for reducing postoperative pneumonia risk in cardiac surgery patients.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".