792. Outbreak of Multidrug-resistant <i>Pseudomonas aeruginosa</i> in a Tertiary Healthcare System in Detroit
Bibliographic record
Abstract
Abstract Background Pseudomonas aeruginosa is one of the most common causes of healthcare-associated infections in critically ill patients and those with suboptimal immunity. However, the development of multidrug resistant Pseudomonas aeruginosa (MDR Pa) creates an even great disease burden and threat to both the hospital and local community health. The purpose of this study is to illustrate a descriptive analysis of a cluster of MDR Pseudomonas, during a local surge of SARS-CoV-2 (COVID 19) pandemic. The goal is to shed more light on the troublesome parallel during outbreaks, such as COVID-19 and consequential secondary outcomes. Methods From November 2020 through February 2021, 16 patients exposed to the intensive care units of a tertiary healthcare system were infected or colonized with a multidrug-resistant strain of P. aeruginosa (Figure 1). Outbreak investigation was conducted via retrospective chart review of the first eight cases and prospective analysis of the latter eight cases. The isolates collected prospectively were analyzed for taxonomic identification, antimicrobial resistance profile, and phylogenetic analysis. Clinical characteristics of all patients were collected, and epidemiological investigation was carried out. MDR is defined as resistance to at least four classes of antibiotics: third-generation cephalosporins, fluoroquinolones, aminoglycosides, and carbapenems. Figure 1. Epidemiological Curve of Cases of Multidrug-resistant Pseudomonas aeruginosa in the Detroit Medical Center from November 2020-February 2021 Results Of the 16 cases of MDR Pa infections, seven died within five months (Table 1). Antimicrobial resistance gene profiling detected blaOXA and blaPAO betalactamase genes in all the samples. One sample contained an additional blaVIM resistance gene, although this patient was colonized and not actively infected. The analysis suggests existence of two clusters demonstrating relatedness and possible horizontal transmission. Timing of this cluster of cases coincides with surge of COVID-19 cases. This highlights the importance of infection control measures and antimicrobial stewardship. Table 1. Characteristics of patients infected with multidrug-resistant Pseudomonas aeruginosa (MDR-Pa) at Detroit Medical Center, November 2020 to February 2021 Conclusion Since early 2017 studies show there is a growing prevalence worldwide in transferable resistance, particularly for β-lactamases and carbapenemases, MDR Pseudomonas. This study emphasizes an irony paralleled during a pandemic, the needed efforts to prevent unintentional lapses in patient safety. Disclosures All Authors: No reported disclosures
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".