297 Antibiotic prescribing for inpatients with community-acquired bacterial pneumonia (CABP) due to methicillin-resistant Staphylococcus aureus (MRSA) in the All of Us database: Are there differences by age, sex, race, and ethnicity?
Bibliographic record
Abstract
OBJECTIVES/GOALS: The purpose of this work is to assess antibiotic prescribing for inpatients with community-acquired bacterial pneumonia (CABP) due to methicillin-resistant Staphylococcus aureus (MRSA) in the All of Us database. The goal of this research is to determine if different subgroups are more or less likely to receive anti-MRSA antibiotics. METHODS/STUDY POPULATION: This is a retrospective cohort study of inpatients with CABP due to MRSA from 2/1/2011 to 7/1/2022 in the All of Us database. Cases will be excluded for other treatment settings, other pathogens, and other types of pneumonia. Patients will be stratified by age, sex, race, and ethnicity. The proportion of patients who received anti-MRSA antibiotic therapy will be compared within groups with the chi-square statistic. Significant associations between patient characteristics and anti-MRSA prescribing (p < 0.05) will be assessed using multivariate logistic regression, with subgroup as the independent variable, anti-MRSA prescribing as the dependent variable, and divergent baseline characteristics as potential confounders. Odds ratios (OR) and 95% confidence intervals (95% CI) will be calculated. RESULTS/ANTICIPATED RESULTS: Previous research by our group has demonstrated differences in guideline-concordant, empiric antibiotic prescribing, for inpatients with CABP in the All of Us database; however, guideline-concordant empiric antibiotics for CABP do not routinely cover for MRSA. Anti-MRSA antibiotics are recommended if the patient has known MRSA or risk factors for MRSA. Investigations of disparity in anti-MRSA prescribing have been limited, especially since the abandonment of the healthcare-associated pneumonia (HCAP) categorization. Since the All of Us database contains information on CABP pathogens, we can study sub-types of CABP; therefore, we now hypothesize that the proportion of inpatients who received anti-MRSA antibiotics for CABP, due to MRSA, in the All of Us database, will differ by age, race, sex, and ethnicity. DISCUSSION/SIGNIFICANCE: This is one of the first studies to evaluate antibiotic prescribing for CABP due to MRSA in the All of Usdatabase. Identifying and understanding differences in care, such as possible discrepancies in anti-MRSA prescribing by age, sex, race, or ethnicity, is essential to develop targeted interventions to address disparities in health outcomes.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".