Surgical options in infective valve endocarditis with neurological complications
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Bibliographic record
Abstract
Background: Surgery is a common treatment option for patients with infective endocarditis. We present a large cohort of surgically managed patients with infective endocarditis and evaluate the long-term mortality of those with and without neurological complications. Methods: We performed a retrospective review of patients surgically managed for infective endocarditis between 1994 and 2017. Demographic and outcome data were collected using a hospital database. Time-to-event analysis was performed with Kaplan-Meier curve and compared statistically with log-rank testing. Results: At the time of admission, 680 (27.7%) patients with infective endocarditis showed neurological complications. The mean age was 62.6±14.0 years and 70% were male. Two thousand two hundred and sixty-one (92%) patients had left-sided valve endocarditis. Isolated aortic valve endocarditis was present in 59% of patients and 35% of patients had isolated infective endocarditis of the mitral valve. Mean logistic EuroSCORE was 21.2±21.6. Microbiologic cultures were positive in 1,939 patients (79%). The most common bacteria were Staphylococcus aureus (26%). In-hospital mortality in the group of patients with Staphylococcus aureus was significantly higher than in the group infected with other pathogens (18.2% vs. 13.4%, P=0.004). Patients with vegetations ≥1 cm had significantly more systemic embolization (P<0.001). 44% of patients had septic embolization with the most common site being the spleen, followed by the brain. Patients presenting with neurological complications had significantly higher in-hospital and long-term mortality (P<0.0001). Conclusions: Infective endocarditis patients with neurological complications have a significantly higher risk of mortality than patients without neurological complications. Surgery is an effective treatment in patients presenting with infective endocarditis, and may be undertaken in patients with neurological complications to prevent poorer prognosis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it