A propensity score-matched analysis of the impact of minimum inhibitory concentration on mortality in patients with Pseudomonas aeruginosa bacteremia treated with cefepime or ceftazidime

The relationship between minimum inhibitory concentration and 28 day mortality in patients with a Gram-negative bloodstream infection: an analysis of data from a cohort study (BSI-FOO)

Objectives

To explore the association between MIC/EUCAST breakpoint ratio and 28 day mortality in patients with a Gram-negative bloodstream infection (BSI).

Methods

Using data from the Bloodstream Infection-Focus on Outcomes (BSI-FOO) observational study, we defined an average MIC/EUCAST breakpoint ratio that was updated daily to reflect changes in treatment in the first 7 days after blood culture. Cox regression analysis was performed to estimate the association between MIC/EUCAST breakpoint ratio and mortality, adjusting for organism and a risk score calculated using potential confounding variables. The primary outcome was 28 day all-cause mortality from the date of blood culture.

Results

Of the 1903 study participants, 514 met the eligibility criteria and were included in the analysis (n = 357 Escherichia coli, n = 6 Klebsiella and n = 151 Pseudomonas aeruginosa). The average age was 74.0 years (IQR 60.0-82.0). The mortality rate varied from 11.1% (in patients treated with an average MIC/EUCAST breakpoint ratio of 1) to 27.6% (in patients treated with antibiotics with an average MIC/EUCAST breakpoint ratio >1). After adjusting for risk score and organism, MIC/EUCAST breakpoint ratio was not associated with 28 day mortality (P = 0.148).

Conclusions

In an adjusted model controlling for potential confounding variables, there was no evidence to suggest a relationship between MIC/EUCAST breakpoint ratio and 28 day mortality in patients with a Gram-negative BSI.

An Evidence-Based Multidisciplinary Approach Focused on Creating Algorithms for Targeted Therapy of Infection-Related Ventilator-Associated Complications (IVACs) Caused by Pseudomonas aeruginosa and Acinetobacter baumannii in Critically Ill Adult Patients

(1) Background: To develop evidence-based algorithms for targeted antibiotic therapy of infection-related ventilator-associated complications (IVACs) caused by non-fermenting Gram-negative pathogens. (2) Methods: A multidisciplinary team of four experts had several rounds of assessments for developing algorithms devoted to targeted antimicrobial therapy of IVACs caused by two non-fermenting Gram-negative pathogens. A literature search was performed on PubMed-MEDLINE (until September 2021) to provide evidence for supporting therapeutic choices. Quality and strength of evidence was established according to a hierarchical scale of the study design. Six different algorithms with associated recommendations in terms of therapeutic choice and dosing optimization were suggested according to the susceptibility pattern of two non-fermenting Gram-negative pathogens: multi-susceptible Pseudomonas aeruginosa (PA), multidrug-resistant (MDR) metallo-beta-lactamase (MBL)-negative-PA, MBL-positive-PA, carbapenem-susceptible Acinetobacter baumannii (AB), and carbapenem-resistant AB. (3) Results: Piperacillin–tazobactam or fourth-generation cephalosporins represent the first therapeutic choice in IVACs caused by multi-susceptible PA. A carbapenem-sparing approach favouring the administration of novel beta-lactam/beta-lactamase inhibitors should be pursued in the management of MDR-MBL-negative PA infections. Cefiderocol should be used as first-line therapy for the management of IVACs caused by MBL-producing-PA or carbapenem-resistant AB. Fosfomycin-based combination therapy, as well as inhaled colistin, could be considered as a reasonable alternative for the management of IVACs due to MDR-PA and carbapenem-resistant AB. (4) Conclusions: The implementation of algorithms focused on prompt revision of antibiotic regimens guided by results of conventional and rapid diagnostic methodologies, appropriate place in therapy of novel beta-lactams, implementation of strategies for sparing the broadest-spectrum antibiotics, and pharmacokinetic/pharmacodynamic optimization of antibiotic dosing regimens is strongly suggested.