Livestock-associated Methicillin-Susceptible Staphylococcus aureus ST398 Infection in Woman, Colombia
Bibliographic record
Abstract
Livestockassociated Methicillin-Susceptible Staphylococcus aureus ST398 Infection in Woman, ColombiaTo the Editor: Staphylococcus aureus causes health care-and community-associated infections worldwide in humans and animals.It also asymptomatically colonizes a large proportion (20%-60%) of otherwise healthy individuals.In recent years, various countries have reported an increasing number of humans infected with livestock-associated S. aureus multilocus sequence type (ST) 398, which suggests that this strain is emerging in community and health care settings (1).Methicillinresistant S. aureus (MRSA) ST398 has received particular attention as a causative agent of infection in pigs, dogs, horses, cattle, and poultry.Colonization and infection in humans have also been described in Europe (2), Asia (3), Canada (4), and the United States (5), particularly among persons with frequent exposure to animals, such as farmers, veterinarians, and their household members.However, infections with MRSA ST398 and methicillin-susceptible S. aureus (MSSA) ST398 have recently been described in persons with no history of contact with livestock (6-10).We report infection of a woman with MSSA ST398 in Colombia, South America.On November 3, 2009, this 82-year-old woman was admitted to the emergency unit of the Hospital Universitario San Vicente Fundación in Medellín, reporting a 15-day history of fever, dyspnea, and pain in her left leg.She lived in a rural area and reported previous contact with dogs and chickens.Her medical history included diabetes mellitus,
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".