Hematogenous Methicillin-Resistant Staphylococcus Aureus Spondylodiscitis
Bibliographic record
Abstract
STUDY DESIGN: Retrospective case series. OBJECTIVE: To determine relevant demographics, clinical presentations, and outcomes of this condition. SUMMARY OF BACKGROUND DATA: This is the first study looking specifically at methicillin-resistant Staphylococcus Aureus (MRSA) spondylodiscitis. METHODS: We performed a retrospective review of patients presenting between 2000 and 2005. RESULTS: Thirteen cases were identified. The mean age was 65 years; 85% were male. All cases presented with back pain, spinal tenderness, and systemic upset. Neurologic deficit was present initially in 39%, and 8% developed neurologic deterioration during treatment. The thoracic spine (53%) was most commonly affected, followed by the lumbar (33%), thoracolumbar junction (7%), and cervical spine (7%); 16% of cases were multilevel. The white cell count, erythrocyte sedimentation rate and C-reactive protein were elevated in all cases with means of 17.3 x 10(-9)/L, 102 mm/h, and 236 mg/L, respectively. Radiologic diagnosis was established with MRI in all cases. The most common risk factors were diabetes mellitus (62%), malnourishment (54%), cirrhosis (31%), end-stage renal failure (15%), and intravenous drug use (15%). Multiple risk factors were present in 76% of cases, and only 15% had no identifiable risk factors. The main sources of sepsis were intravenous catheters (23%), urinary tract (15%), and intravenous drug use (15%). Treatment consisted of intravenous vancomycin monotherapy for a mean period of 4 weeks followed by oral combination or monotherapy antimicrobials for a mean period of 8 weeks. Operative intervention was required in 38% of cases. At 6 months, 54% of cases were clinically free of infection, 38% had died, and 8% required ongoing treatment. Neurologic deficit was present in 50% of survivors. At 1 year, 29% of survivors had MRSA bacteremia and spondylodiscitis recurrence. CONCLUSION: This is a devastating condition with high mortality and morbidity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".