Characteristics of and risk factors for severe neurological deficit in patients with pyogenic vertebral osteomyelitis
Bibliographic record
Abstract
Severe neurological deficit (SND) is a rare but major complication of pyogenic vertebral osteomyelitis (PVO). We aimed to determine the risk factors and the variables associated with clinical improvement for SND during PVO.This case-control study included patients without PVO-associated SND enrolled in a prospective randomized antibiotic duration study, and patients with PVO-associated SND managed in 8 French referral centers. Risk factors for SND were determined by logistic regression.Ninety-seven patients with PVO-associated SND cases, and 297 controls were included. Risk factors for SND were epidural abscess [adjusted odds ratio, aOR 8.9 (3.8-21)], cervical [aOR 8.2 (2.8-24)], and/or thoracic involvement [aOR 14.8 (5.6-39)], Staphylococcus aureus PVO [aOR 2.5 (1.1-5.3)], and C-reactive protein (CRP) >150 mg/L [aOR 4.1 (1.9-9)]. Among the 81 patients with PVO-associated SND who were evaluated at 3 months, 62% had a favorable outcome, defined as a modified Rankin score ≤ 3. No factor was found significantly associated with good outcome, whereas high Charlson index [adjusted Hazard Ratio (aHR) 0.3 (0.1-0.9)], low American Spinal Injury Association (ASIA) impairment scale at diagnosis [aHR 0.4 (0.2-0.9)], and thoracic spinal cord compression [aHR 0.2 (0.08-0.5)] were associated with poor outcome. Duration of antibiotic treatment was not associated with functional outcome.SND is more common in cervical, thoracic, and S. aureus PVO, in the presence of epidural abscess, and when CRP >150 mg/L. Although neurological deterioration occurs in 30% of patients in early follow-up, the functional outcome is quite favorable in most cases after 3 months. The precise impact of optimal surgery and/or corticosteroids therapy must be specified by further studies.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".