Reactive Arthritis and Other Musculoskeletal Sequelae Following an Outbreak of <i>Salmonella hadar</i> in Castellon, Spain
Bibliographic record
Abstract
OBJECTIVE: In 2005 a large outbreak of Salmonella hadar occurred in Spain following the consumption of commercial precooked roast chicken. We estimated the incidence and risk factors for reactive arthritis (ReA) and other musculoskeletal sequelae in the patients of this outbreak in 2 health departments of Castellon province. METHODS: A prospective cohort study of the patients and their families was carried out. Clinical infection with Salmonella was considered as the exposure factor. The cohort was studied for ReA symptoms using a telephone questionnaire. Telephone interviews or medical examinations of subjects with musculoskeletal symptoms were conducted by a rheumatologist. Robust Poisson regression models were used in the analysis. RESULTS: From the cohort of 262 people, 248 (94.7%) participated in the telephone survey, 155 with clinical salmonellosis (infected), 78 noninfected, and 15 with some symptoms but not clinical salmonellosis. One hundred one infected patients (65%) reported musculoskeletal symptoms, compared to 19 noninfected (24%) (adjusted relative risk = 2.60, 95% CI 1.73-3.90). Of the infected group, 16 ReA (incidence 10%, 95% CI 6.0-16.2), 7 enthesopathies, and 2 arthralgias were detected, and zero in the noninfected group. The risk factors for ReA were age, weight loss, and duration of diarrhea. Antibiotic treatment for the infection protected against symptoms of peripheral or axial arthritis (adjusted relative risk = 0.73, 95% CI 0.55-0.98). CONCLUSION: The incidence of ReA and musculoskeletal symptoms after the infection was high. The use of antibiotics for S. hadar infection offered some protection against musculoskeletal symptoms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".