Leveraging patient data to detect systematic shifts in daptomycin susceptibility testing associated with reduced prescribing

In this study, we report a critical incident of technical variability using daptomycin gradient diffusion methodology that was undetectable using routine quality control metrics. More broadly, this study underscores the opportunity to incorporate additional modalities, such as clinical patient results, into a comprehensive quality assurance plan to ensure high-quality antimicrobial susceptibility testing results. Given the dynamic spread of multidrug resistance in bacteria, accurate susceptibility testing results are critical to identify and respond to shifts in local epidemiology.

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Publication Details

Journal
Journal of Clinical Microbiology
Published
2026-02-04
DOI
https://doi.org/10.1128/jcm.01510-25
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Leveraging patient data to detect systematic shifts in daptomycin susceptibility testing associated with reduced prescribing

Rebekah E. Dumm, Daniel C. Herman, Vahid Azimi, Laurel Glaser et al.
Journal of Clinical Microbiology
Bacterial Identification and Susceptibility Testing
article

Leveraging patient data to detect systematic shifts in daptomycin susceptibility testing associated with reduced prescribing

Rebekah E. Dumm, Daniel C. Herman, Vahid Azimi, Laurel Glaser, Mason Kressloff, Mark A. Zaydman, Christine R. Lockowitz
article en

Abstract

In this study, we report a critical incident of technical variability using daptomycin gradient diffusion methodology that was undetectable using routine quality control metrics. More broadly, this study underscores the opportunity to incorporate additional modalities, such as clinical patient results, into a comprehensive quality assurance plan to ensure high-quality antimicrobial susceptibility testing results. Given the dynamic spread of multidrug resistance in bacteria, accurate susceptibility testing results are critical to identify and respond to shifts in local epidemiology.

Journal of Clinical MicrobiologyVol. 64(3)
St. Louis Children's Hospital (US), Alameda Health System (US), University of Pennsylvania (US)
University of Pennsylvania
Openalex Percentile: Top 64%
Bacterial Identification and Susceptibility Testing
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Leveraging patient data to detect systematic shifts in daptomycin susceptibility testing associated with reduced prescribing — Rebekah E. Dumm, Daniel C. Herman, et al. · Journal of Clinical Microbiology (2026) | TGRS Research Map | TGRS