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Enhancing the Time-to-Positivity Paradigm for Guidance of Antimicrobial Therapy: A Model-Based Approach.

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Enhanced time to positivity (TTP) uses modified instrumentation and mathematical modeling to guide antimicrobial therapy. This novel approach optimizes treatment by systematically analyzing TTP data for improved clinical outcomes.

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Area of Science:

  • Clinical microbiology
  • Infectious disease
  • Pharmacodynamics

Background:

  • Time to positivity (TTP) is an empirical diagnostic parameter in blood cultures.
  • Current TTP use is limited, primarily informing clinicians of infection severity before therapy.
  • This limits TTP's effectiveness and clinical adoption for treatment optimization.

Purpose of the Study:

  • To introduce an enhanced TTP approach for systematic antimicrobial therapy design.
  • To integrate modified TTP instrumentation with novel mathematical modeling.
  • To provide systematic guidance for antimicrobial therapy using TTP data.

Main Methods:

  • Modified operation of standard TTP instrumentation.
  • Novel mathematical modeling using TTP data for therapy guidance.
  • In vitro evaluation using specific antibiotic combinations against resistant bacteria.

Main Results:

  • The enhanced TTP approach was evaluated using ceftazidime/avibactam against *Acinetobacter baumannii* and cefiderocol/avibactam against *Pseudomonas aeruginosa*.
  • Model-based predictions of therapeutic outcomes aligned with experimental results in a hollow fiber infection model.
  • This study represents the first enhancement of the TTP assay.

Conclusions:

  • Enhanced TTP systematically informs antimicrobial therapy design.
  • The approach demonstrated consistency between predicted and experimental outcomes.
  • Further development could establish enhanced TTP as a tool for optimizing antimicrobial therapy.