Antibiotic resistance genotype, phenotype, and clinical outcomes in patients with Gram-negative infections at Rabin Medical Center in Israel
While there have been several studies that attempt to find clinical predictors of outcomes in patients hospitalized with bacterial infections, less has been done to combine clinical data with genomic mechanisms of antibiotic resistance. This study focused on a hospitalized patient population in Israel with infections due to medically important bacterial pathogens as a way to build a framework that would unite clinical data with both bacterial antibiotic susceptibility and genomic data. Merging both clinical and genomic data allowed us to find both bacterial and clinical factors that impact certain clinical outcomes. As genome sequencing of bacteria becomes both rapid and commonplace, near real-time monitoring of resistance determinants could help to optimize clinical care and potentially improve outcomes in these patients.
Authors
- Andrew E. Clark (ORCID: https://orcid.org/0000-0002-0722-0482)
- Jackson Barth (ORCID: https://orcid.org/0009-0009-6307-9928)
- Dafna Yahav (ORCID: https://orcid.org/0000-0003-3181-9791)
- Leonard Leibovici (ORCID: https://orcid.org/0000-0002-9907-344X)
- David E. Greenberg (ORCID: https://orcid.org/0000-0002-5101-3106)
- Christine Pybus (ORCID: https://orcid.org/0000-0002-4895-6525)
- Dhara Desai
- Rachelle Koch (ORCID: https://orcid.org/0000-0003-4039-043X)
- Xiaowei Zhan
- Ji-Woong Kim (ORCID: https://orcid.org/0009-0003-0513-9706)
Institutions
- Tufts Medical Center (US)
- Baylor University (US)
- Tel Aviv University (IL)
- Sheba Medical Center (IL)
- Rabin Medical Center (IL)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Microbiology Spectrum
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1128/spectrum.00383-24
- Citations
- 1
- Primary Topic
- Antibiotic Resistance in Bacteria
- Type
- article
- Field-Weighted Citation Impact
- 0.17
Funders
- University of Texas Southwestern Medical Center
- National Institutes of Health