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.

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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

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article

Antibiotic resistance genotype, phenotype, and clinical outcomes in patients with Gram-negative infections at Rabin Medical Center in Israel

Andrew E. Clark, Jackson Barth, Dafna Yahav, Leonard Leibovici et al.
1 citations
Microbiology Spectrum
Antibiotic Resistance in Bacteria
0.17
article

Antibiotic resistance genotype, phenotype, and clinical outcomes in patients with Gram-negative infections at Rabin Medical Center in Israel

Andrew E. Clark, Jackson Barth, Dafna Yahav, Leonard Leibovici, David E. Greenberg, Christine Pybus, Dhara Desai, Rachelle Koch, Xiaowei Zhan, Ji-Woong Kim
article en
1 citations

Abstract

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.

Microbiology SpectrumVol. 13(1)
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)
University of Texas Southwestern Medical Center, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 55%
Antibiotic Resistance in Bacteria
0.17
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