Surgical site infections in neurosurgery
Bibliographic record
Abstract
Background: Surgical site infections in neurosurgery are serious due to their proximity to the central nervous system and their management is a challenge. The aim of our work is to report surgical site infections (SSI) in patients who underwent brain or spinal surgery and to describe their characteristics. Materials and method: We conducted a retrospective study involving patients who underwent surgery in our facility's neurosurgical emergency department over 5 years from January 2015 to December 2019. The data were collected from medical hospital and follow-up records. Results: Fifty-eight cases of SSI were identified out of 2889 operations in total, for a frequency of 2%. The series consisted of 36 men (62.07%) and 22 women (37.93%). The average age was 43.9 years (19-72 years). 46 patients (79.31%) had undergone urgent surgery and 12 patients (20.69%) for delayed surgery. 40 patients (68.97%) had undergone cranial intervention and 18 patients (31.03%) underwent spinal surgery. The identified germ was Staphylococcus aureus in 13 cases (76.48%). Mortality was 13.8% (8 out of 58 cases). Conclusion: The majority of microorganisms that cause the infections contaminate the surgical site intraoperatively. Preventive measures can reduce the rate of surgical site infections.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.004 | 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".