MIC vs. Resistance mechanisms: What is needed to treat MDRO gram negative infections?

Phenotypic antimicrobial susceptibility testing is the gold standard test for treatment decisions, but emerging antimicrobial resistance and new antimicrobials for Gram-negative bacterial infections are challenging the conventional wisdom that a minimum inhibitory concentration (MIC) is all that is needed. Asking the question, "How can we meet evolving diagnostic needs?", we hear from three key microbiology and infectious disease experts: Prof. Navaneeth Narayanan, Rutgers University Ernest Mario School of Pharmacy, Prof. Amy Mathers, University of Virginia, School of Medicine, and Dr. April Abbott, Deaconess Health System, in this educational webinar.

Key learning objectives

  • Discover the new drugs available for treating MDRO Gram-negative infections
  • Understand the challenges and opportunities associated with MDRO Gram-negative diagnostics

Who should attend?

  • Clinical microbiology lab directors/supervisors/managers
  • Microbiologists
  • Microbiologist lab technicians
  • Infectious disease specialists
  • Infectious disease pharmacists
  • Clinical microbiology lab executives
  • Antibiotic stewardship committee members

Certificate of attendance

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.

Speakers

Prof. Navaneeth Narayanan PharmD, MPH, BCIDP
Prof. Navaneeth Narayanan PharmD, MPH, BCIDP
Clinical Associate Professor, Pharmacy Practice and Administration, Rutgers University Ernest Mario School of Pharmacy
Prof. Amy Mathers, M.D., D(ABMM)
Prof. Amy Mathers, M.D., D(ABMM)
Associate Professor of Medicine and Pathology, University of Virginia, School of Medicine
April Abbott, D(ABMM)
April Abbott, D(ABMM)
Director of Microbiology and Molecular Diagnostics, Deaconess Health System
Jean Patel
Jean Patel
Principal Scientific Affairs, Beckman Coulter Diagnostics - Microbiology
Charlie Carter
Charlie Carter
Life Sciences Editor, SelectScience

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