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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".