P-881. A Retrospective Review of <i>Enterobacter</i> c<i>loacae</i> complex Bacteremia: 2019-2023
Bibliographic record
Abstract
Abstract Background Enterobacter cloacae complex is one of the most common Enterobacterales considered at moderate to high risk for clinically significant AmpC production. AMP-C betalactamases confer resistance to broad spectrum cephalosporins and common beta-lactam betalactamases including Amoxicillin-Clavulanate and Piperacillin-Tazobactam. Carbapenems are often used empirically when this organism is isolated but there is a current gap in the literature regarding in which circumstances non-carbapenem antibiotics can be used safely for patients with enterobacter cloacae complex infections. The aim of this study was to examine independent predictors of mortality for patients with enterobacter cloacae complex bacteremia and identify patients which can appropriately receive non-carbapenem based therapy safely and effectively without negative impacts on mortality. Methods We conducted a retrospective analysis of 285 episodes of enterobacter cloacae complex bacteremia. The main outcome measure was mortality at 30 days.The χ2 or Fisher's exact test were used to compare categorical variables. To identify the independent risk factors of infection and mortality, a binary logistic regression model was used to control for the effects of confounding variables. Results Of 285 patients 17.5% (50) were deceased at 30 days, 110 patients received a beta-lactam betalactamase inhibitor combination initially and 80 patients received an initial broad spectrum cephalosporin. Of 209 patients for whom antibiotic data was available 73 were changed to a carbapenem within 24 hours of the initial blood culture being drawn. In univariate analysis only source was identified as a statistically significant risk factor for mortality at 30 days. In univariate and multivariate binary logistic regression analysis change to carbapenem within 24 hours of blood culture was not an independent risk factor of death at 30 days. Conclusion Change to carbapenem within 24 hours of cultures being taken was not an independent risk factor of 30 day mortality. Further studies are needed to determine in what group broad spectrum cephalosporins or beta-lactam betlactamase inhibitors are appropriate therapy for enterobacter cloacae. 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".