Clinical and Radiologic Predictive Factors of Septic Hip Arthritis
Bibliographic record
Abstract
OBJECTIVE: The purpose of our study was to identify the clinical and radiologic factors associated with a positive culture during image-guided hip joint aspiration. MATERIALS AND METHODS: We performed a retrospective analysis of 167 consecutive hip aspirations for septic arthritis at a large tertiary medical center. Chart review was performed on the following clinical factors: serum WBC count≥11×10(3)/μL, serum erythrocyte sedimentation rate (ESR)≥20 mm/h, C-reactive protein (CRP)≥100 mg/L, synovial fluid WBC count, synovial fluid polymorphonuclear (PMN) leukocytes≥90%, fever, immunosuppression, antibiotic use, diabetes, presence of a prosthesis, and IV drug use (IVDU). Radiologic studies were reviewed for the following imaging and technical factors: presence of a sinus tract, fluid turbidity, volume of fluid (mL) aspirated, and whether the fluid analyzed was primarily aspirated or reaspirated after lavage. Logistic regression was used to calculate odds ratio (OR) and 95% CI. RESULTS: Of the 167 aspirations, 29 (17.4%) had positive cultures; 6 of 29 (20.7%) positive cultures occurred in reaspirated lavage fluid. On multivariate analysis using logistic regression with stepwise backward elimination, the significant clinical and radiologic predictors were elevated WBC (OR, 4.4; 95% CI, 1.1-17.3), high percentage of synovial fluid PMN leukocytes (OR, 10.6; 95% CI, 2.9-39.8), IVDU (OR, 9.0; 95% CI, 1.3-64.7), and fluid turbidity (OR, 20.5; 95% CI, 6.9-61.4). CONCLUSION: Positive hip cultures are associated with elevated serum WBC, IVDU, high percentage of synovial fluid PMN leukocytes, and fluid aspirate turbidity. Reaspiration of lavage fluid with either nonbacteriostatic saline or contrast material can yield positive cultures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".