184. <i>Staphylococcus aureus</i> Bacteremia Management and Outcomes Following Infectious Disease Consult Over Time at a Tertiary Care Center in Canada
Bibliographic record
Abstract
Abstract Background Staphylococcus aureus bacteremia (SAB) is associated with high morbidity and mortality. Infectious disease consultation (IDC) is associated with increased adherence to guideline management and improved patient outcomes. We describe the IDC rate over time and impact of IDC on the management and outcomes of patients with SAB. Methods This retrospective chart review includes adult patients (≥ 18 years) hospitalized at the University of Alberta Hospital, Edmonton, Canada who had at least 1 blood culture growing Staphylococcus aureus during two time periods (A: Jan 2010 to Dec 2012; B: Jan to Oct 2020). Patients who died or were made palliative within 48hrs following bacteremia were excluded. Descriptive statistics were used to compare appropriateness of SAB management and outcomes in patients receiving IDC and those who did not (NIDC). Results 325 patients in period A and 129 in period B were included. Baseline demographics were similar. IDC rate increased from 63% to 88% (p< 0.001) between the study periods. IDC was associated with increased odds of receiving an echocardiogram (OR=3.56, 95% CI 2.22 – 5.57; OR=20.4, 95% 4.13 – 110.6, p< 0.001) and appropriate duration of antimicrobial therapy (OR=6.74, 95% 3.93 – 11.54; OR=43.2, 95% 5.72 – 529.5, p< 0.001) between study periods. Mean length of stay decreased in patients receiving IDC (44.8 vs 28.1 days, p=0.005) and increased in NIDC patients (19.9 vs 28.7 days, p=0.216). IDC was associated with lower 30-day mortality in period A (OR=3.53, 95% 1.95 – 6.36), however this association was not observed in period B (OR=1.43, 95% 0.40 – 5.56). There was a trend towards decreased odds of mortality in patients receiving early IDC (≤2 days from bacteremia, n=65) compared to late IDC (≥3 days from bacteremia, n=45) (OR=2.59, 95% 0.95 – 7.10, p=0.077). Conclusion Our centre’s IDC rate for SAB increased over time without specific intervention. IDC increased the odds of appropriate SAB management and was associated with decreased length of stay in period B. IDC was associated with lower 30-day mortality in period A and trended towards lower mortality in period B. Specifically, early IDC decreased odds of 30-day mortality compared to late IDC. These results suggest that routine early IDC be part of SAB management. Disclosures All Authors: No reported disclosures
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".