Acute Unilateral Sacroiliitis Mimicking Infection on Magnetic Resonance Imaging with Response to Nonsteroidal Antiinflammatory Drugs: A Distinct Presentation of Spondyloarthritis?
Bibliographic record
Abstract
Sacroiliitis is associated with the spondyloarthropathies (SpA) including ankylosing spondylitis, psoriatic arthritis, and reactive arthritis (ReA), and may be visualized using magnetic resonance imaging (MRI). Here, we describe 4 cases of acute unilateral sacroiliitis with florid MRI appearances that mimicked infection but demonstrated a prompt and complete response to nonsteroidal antiinflammatory drugs (NSAID). All patients in this report have given written consent for publication. Institutional review board approval for ethics was not required because patients were managed according to generally accepted standards of care prior to this case series report. All subjects were HLA-B27–negative males and presented with a rapid symptom onset of unilateral sacroiliitis lasting from 2 days to 4 weeks (Table 1). One subject had a prior history of ulcerative colitis (Case 2) in remission and 1 had scalp psoriasis (Case 3). There were prodromal symptoms in 2 subjects (Cases 1 and 4) with short-lived fever at presentation. Case 4 had a sore throat preceding the presentation with neutrophilia (12.4 × 109/l), which prompted an infection screen. All 4 patients demonstrated a significant … Address correspondence to Dr. H. Marzo-Ortega, LIRMM, Second floor, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK. E-mail: medhmo{at}leeds.ac.uk
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".