MétaCan
Menu
Back to cohort
Record W7083577483 · doi:10.1017/ash.2025.303

Tackling Staph: Reducing Staphylococcus aureus Colonization in a College Football Team

2025· article· en· W7083577483 on OpenAlexaff

Bibliographic record

VenueAntimicrobial Stewardship & Healthcare Epidemiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsAthletic Edge Sports Medicine
Fundersnot available
KeywordsMupirocinStaphylococcus aureusCarriageFootball playersHygieneStaphylococcal infectionsNoseIsolation (microbiology)

Abstract

fetched live from OpenAlex

Introduction: Athletes in contact sports have a higher rate of Staphylococcus aureus nasal carriage than the general population, leading to an increased risk of skin and soft tissue infections (SSTIs). These infections can have a significant impact on individual players and teams. This study aimed to assess the effectiveness of adding a nasal decolonization protocol in reducing S. aureus colonization among a Division I (D1) college football team to chlorhexidine gluconate body wash. Methods: A total of 113 athletes were screened for S. aureus nasal carriage at two time points during intensive summer training. During the first screening, athletes were universally prescribed intranasal mupirocin twice daily using clean Q-tips for five consecutive days. Players were also educated on proper hygiene and adherence to the decolonization protocol. Four weeks later, all players were screened again for S. aureus nasal carriage. Protocol success was defined as either detection of Staph aureus in the first round of screening but not in the second (elimination) or a persistently negative result (lack of acquisition). Protocol failure was defined as either the isolation of the same organism in the first and second rounds (lack of elimination) or a positive second-round culture following a negative first-round culture (acquisition). Select S. aureus isolates were submitted for multilocus sequence typing (MLST). Results: At the initial screening, 2 players (1.8%) were colonized with methicillin-resistant Staphylococcus aureus (MRSA), 23 players (20.4%) with methicillin-susceptible Staphylococcus aureus (MSSA), and 4 players (3.5%) with both MRSA and MSSA. After decolonization, follow-up screening identified 0 players with MRSA and 12 players (10.6%) with MSSA, representing a 58.6% reduction in overall S. aureus nasal carriage. Based on study definitions, the decolonization protocol was successful in 101 (89%) players (Figure 1). MLST was performed on 11 of the 27 initial MSSA-positive isolates and 6 of the 12 second-round MSSA-positive isolates. Based on limited molecular typing data, at least 1 player may have acquired MSSA from another team member within the athletic environment. Discussion: Our findings suggest that implementing a nasal decolonization protocol in a D1 college football team is feasible and effective, resulting in a significant reduction of S. aureus nasal carriage. While initial screening effectively identified carriers, a small subset of athletes acquired MSSA colonization, indicating potential re-exposure or incomplete protocol adherence. Further research should explore decolonization adherence strategies and expand decolonization efforts across contact sports programs to reduce S. aureus-related SSTIs among athletes.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.017
GPT teacher head0.304
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAntimicrobial Stewardship & Healthcare EpidemiologySame topicGenomics and Chromatin DynamicsFrench-language works237,207