Colonization with community‐acquired methicillin‐resistant<i>Staphylococcus aureus</i>in children with atopic dermatitis: a cross‐sectional study
Bibliographic record
Abstract
BACKGROUND: Bacterial infection with Staphylococcus aureus is a common complication of atopic dermatitis (AD). The incidence of community-acquired methicillin-resistant S. aureus infection (MRSA) in the AD population is unknown. OBJECTIVES: This study aimed to assess the prevalence of S. aureus and MRSA in pediatric patients with AD, to compare disease severity, and to characterize the clonal diversity of the isolates. METHODS: We carried out a prospective, cross-sectional study of 200 patients with AD. The severity of AD was defined as mild, moderate, or severe depending on a composite AD severity score. A swab was taken from the nares of each patient and another from affected skin or folds. Genotyping of all S. aureus isolates was conducted by polymerase chain reaction (PCR) amplification of the S. aureus protein A (spa) gene. RESULTS: According to the severity score, 66.5% of subjects were ranked as having mild AD, 29.5% as having moderate and 4% as having severe AD. Staphylococcus aureus colonization was seen in 61.5% of all patients, represented by 43.7% of skin swabs and 48% of nares swabs. Only one of the isolations represented MRSA. Older age and higher AD severity scores were associated with S. aureus colonization (P = 0.03 and P < 0.001, respectively). No significant associations were noted for attendance at day care, family members with frequent skin infections, or family members working in healthcare. Isolates from spa CC015 were cultured in 19.2% of patient samples. The single MRSA culture showed a new spa type that belonged to CC127. CONCLUSIONS: The results of this study confirm a high rate of S. aureus colonization of pediatric patients with AD. The low rate of MRSA requires further proof from larger prospective studies.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".