The Association of Psoriasis and Bacterial Infections in Pediatric Patients: A Retrospective Review
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Guttate psoriasis onset and plaque psoriasis flares are associated with streptococcal pharyngitis. Literature regarding the relationship between anogenital bacterial dermatitis and psoriasis in pediatric patients is limited. We aimed to evaluate the clinical characteristics, microbiology, and treatment course of patients with psoriasis/psoriasiform dermatitis and concomitant pharyngeal and/or anogenital bacterial infections. METHODS: A multicenter retrospective review of patients ≤ 18 years of age with psoriasis/psoriasiform dermatitis and bacterial infection, defined by positive culture results, was performed. Demographic characteristics, clinical features, microbiology, treatment recommendations, and outcomes were evaluated. Comparisons were made between pharyngeal and anogenital culture groups. RESULTS: A total of 166 unique patients with psoriasis/psoriasiform dermatitis and suspected pharyngeal and/or anogenital infection were evaluated between 2011 and 2021. Staphylococcus sp. and Streptococcus sp. were isolated in anogenital cultures. Inverse psoriasis was associated with a positive anogenital culture (p = 0.0356). Guttate psoriasis was more common in patients with a positive pharyngeal culture (p < 0.0001). Treatment of a positive bacterial culture did not correlate with the treatment response of psoriasis/psoriasiform dermatitis. CONCLUSIONS: Investigations for anogenital and pharyngeal infections should be considered in pediatric patients presenting with new-onset or worsening psoriasis. A high clinical suspicion should be maintained for anogenital infection in patients with inverse psoriasis, specifically.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".