Vertebral Osteomyelitis: Unexpected Cause of Back Pain
Bibliographic record
Abstract
Osteomyelitis is an inflammation of bone caused by a pyogenic organism. Osteomyelitis is one of the most important musculoskeletal infections, commonly occurring in long bones. Vertebral osteomyelitis is fairly rare and is often overlooked. It is usually acquired hematogenously, although there are other ways of infection. Only about half of patients develop fever > 38 °C and symptoms are unspecific. The most common organism is Staphylococcus aureus , with Pseudomonas aeruginosa being an unexpected pathogen accounting for about 6%. We present a case of a 56-year-old Hispanic male that visited emergency room presenting with back pain of 3 weeks of evolution being discharged home. Patient returned 2 days after with no improvement. Blood test returned under normal range. Physical exam showed a focal tenderness at thoracic level. Blood culture recovered Pseudomonas aeruginosa sensitive to levofloxacin. CT/MRI was performed and showed vertebral osteomyelitis. Antibiotic was started for 6 weeks. Therapy was guided with erythrocyte sedimentation rate (ESR)/C-reactive protein (CRP). Patient was evaluated monthly for 6 months and improved. Vertebral osteomyelitis is a challenging diagnosis. The consequences of the disease are dire if not diagnosed on time. Historically, the diagnosis of vertebral osteomyelitis remains in a positive culture of bone biopsy. Nowadays, when handling a suspected hematogenous vertebral osteomyelitis, blood culture has gained importance. Whether a blood culture recovered a pathogen, therapy should be based on sensitivity and can be guided following ESR/CRP levels. This type of management can preclude invasive and expensive methods, such as bone biopsy. J Med Cases. 2017;8(8):246-248 doi: https://doi.org/10.14740/jmc2870w
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".