MRSA prevalence in a teaching hospital in Western Saudi Arabia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of Methicillin Resistant Staphylococcus aureus (MRSA) colonization in our institution. METHODS: A 5-day period prevalence study of all adult and pediatric patients. Excluded areas were the adult intensive care unit (screened on admission and weekly thereafter), the outpatient hemodialysis population (screened monthly), and newborns. Our facility is a referral/teaching hospital for the National Guard population and their dependants in Western Saudi Arabia. A total of 240 patients were screened. Nasal sampling was carried out and isolation/identification of MRSA was performed using standard microbiological methods. RESULTS: The total number of patients sampled was 240 and of those 10 (4%) were colonized. The 10 positives were found in 4 patient care areas; adult male medicine 5, adult male oncology 3, adult female medicine one, adult high dependency unit one. These patients care areas had 69 patients (42 males and 27 females). Ten (14%) were colonized by MRSA; 9 males (21%) and one female (3%). Statistical analysis Chi Square for discontinuous variables, "F" test for continuous variables found that one), male gender (p=0.04), 2) the presence of a long term invasive device (p=0.04), 3), length of stay (p=0.004) were predictive of MRSA colonization. CONCLUSION: The overall prevalence of MRSA colonization in our hospital was low, however a sub-segment of the population identified as male, having long term invasive devices, and hospitalized more than 2 weeks, were frequently colonized. Any strategy, in our hospital, to control the spread of MRSA should include the testing of this population.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it