Rapid identification of gram-negative bacteremia and impact on antipseudomonal antibiotic consumption with antimicrobial stewardship at a community hospital system

2018 ◽  
Vol 2 (1) ◽  
pp. 26-31
Author(s):  
Maggie J. Box ◽  
Jennifer M. Lee ◽  
Courtney D. Ortiz ◽  
Kristine N. Ortwine ◽  
Caitlin A. Richardson ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Community Hospital ◽  
Antibiotic Consumption ◽  
Rapid Identification ◽  
Hospital System ◽  
Gram Negative ◽  
Gram Negative Bacteremia

scholarly journals Outcomes of Rapid Identification of Bacteremia in Combination with Antimicrobial Stewardship Intervention

2020 ◽  
Vol 41 (S1) ◽  
pp. s340-s341
Author(s):  
Marilia Bernardes ◽  
Julieth Formosa ◽  
Julia Bini Viotti ◽  
Anthony Febres-Aldana ◽  
Kenneth Ratzan
Keyword(s):  
Antibiotic Therapy ◽  
Antimicrobial Stewardship ◽  
Rapid Identification ◽  
Antibiotic Administration ◽  
Antibiotic Overuse ◽  
Patient Demographics ◽  
Gram Negative Bacteremia ◽  
Polymicrobial Bacteremia ◽  
N 93 ◽  
Organism Identification

Background: Rapid diagnostic tests designed to provide bacterial identification and detection of resistance genes directly from positive blood cultures can significantly reduce the time to definitive results, ensuring appropriate and timely antibiotic administration while simultaneously decreasing antibiotic overuse and development of antimicrobial resistance. However, their impact on in-hospital mortality and length of stay (LOS) is yet to be fully assessed. Methods: We retrospectively reviewed bacteremia cases in patients hospitalized over a 6-month period before (n = 78) and after (n = 93) the implementation of Verigene bacterial nanoparticle testing. Exclusion criteria included age >90 years, bacteremia thought to be a contaminant, polymicrobial bacteremia, or hospice admission. Verigene was performed at a central laboratory from 6 a.m. to 11 p.m. Pharmacists notified physicians of results and assisted with antibiotic modifications. Patient demographics, time to organism identification, time to effective antimicrobial therapy, and other key clinical parameters were compared. The primary outcomes were in-hospital LOS, 14-day mortality, and 30-day mortality. Secondary outcomes included time to effective antibiotic therapy and intensive care unit (ICU) LOS. Results: Organism identification was achieved more quickly (4.9 hours vs 44.5 hours; P < .001) and effective antibiotic therapy was started earlier after Verigene implementation. The mean in-hospital LOS decreased from 13.15 days to 10.02 days (P = .0071) after the Verigene intervention, despite a higher mean Charlson comorbidity index among the cases. Mortality was similar between groups. Conclusions: Rapid identification of gram-positive and gram-negative bacteremia with an antimicrobial stewardship intervention can decrease time to effective antibiotic therapy and total LOS.Funding: NoneDisclosures: None

scholarly journals Evaluation of the impact of the Accelerate Pheno™ system on time to result for differing antimicrobial stewardship intervention models in patients with gram-negative bloodstream infections

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Gerald Elliott ◽  
Michael Malczynski ◽  
Viktorjia O. Barr ◽  
Doaa Aljefri ◽  
David Martin ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Bloodstream Infections ◽  
Standard Of Care ◽  
Resistance Mechanisms ◽  
Gram Negative ◽  
Intervention Models ◽  
Gram Negative Bacteremia ◽  
Potential Impact ◽  
Potential Clinical Impact ◽  
The Impact

Abstract Background Initiating early effective antimicrobial therapy is the most important intervention demonstrated to decrease mortality in patients with gram-negative bacteremia with sepsis. Rapid MIC-based susceptibility results make it possible to optimize antimicrobial use through both escalation and de-escalation. Method We prospectively evaluated the performance of the Accelerate Pheno™ system (AXDX) for identification and susceptibility testing of gram-negative species and compared the time to result between AXDX and routine standard of care (SOC) using 82 patient samples and 18 challenge organisms with various confirmed resistance mechanisms. The potential impact of AXDX on time to antimicrobial optimization was investigated with various simulated antimicrobial stewardship (ASTEW) intervention models. Results The overall positive and negative percent agreement of AXDX for identification were 100 and 99.9%, respectively. Compared to VITEK® 2, the overall essential agreement was 96.1% and categorical agreement was 95.4%. No very major or major errors were detected. AXDX reduced the time to identification by an average of 11.8 h and time to susceptibility by an average of 36.7 h. In 27 patients evaluated for potential clinical impact of AXDX on antimicrobial optimization, 18 (67%) patients could potentially have had therapy optimized sooner with an average of 18.1 h reduction in time to optimal therapy. Conclusion Utilization of AXDX coupled with simulated ASTEW intervention notification substantially shortened the time to potential antimicrobial optimization in this cohort of patients with gram-negative bacteremia. This improvement in time occurred when ASTEW support was limited to an 8-h coverage model.

Automated Alerts Coupled with Antimicrobial Stewardship Intervention Lead to Decreases in Length of Stay in Patients with Gram-Negative Bacteremia

2014 ◽  
Vol 35 (2) ◽  
pp. 132-138 ◽  
Author(s):  
Jason M. Pogue ◽  
Ryan P. Mynatt ◽  
Dror Marchaim ◽  
Jing J. Zhao ◽  
Viktorija O. Barr ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Blood Culture ◽  
Antimicrobial Stewardship ◽  
Positive Blood Culture ◽  
Medical Center ◽  
Intervention Group ◽  
Gram Negative ◽  
Gram Negative Bacteremia ◽  
Appropriate Therapy ◽  
The Impact

Objective.To assess the impact of active alerting of positive blood culture data coupled with stewardship intervention on time to appropriate therapy, length of stay, and mortality in patients with gram-negative bacteremia.Design.Quasi-experimental retrospective cohort study in patients with gram-negative bacteremia at the Detroit Medical Center from 2009 to 2011.Setting.Three hospitals (1 community, 2 academic) with active antimicrobial stewardship programs within the Detroit Medical Center.Patients.All patients with monomicrobial gram-negative bacteremia during the study period.Intervention.Active alerting of positive blood culture data coupled with stewardship intervention (2010-2011) compared with patients who received no formalized stewardship intervention (2009).Results.Active alerting and intervention led to a decreased time to appropriate therapy (8 [interquartile range (IQR), 2-24] vs 14 [IQR, 2-35] hours; P = .014) in patients with gram-negative bacteremia. After controlling for differences between groups, being in the intervention arm was associated with an independent reduction in length of stay (odds ratio [OR], 0.73 [95% confidence interval (CI), 0.62-0.86]), correlating to a median attributable decrease in length of stay of 2.2 days. Additionally, multivariate modeling of patients who were not on appropriate antimicrobial therapy at the time of initial culture positivity showed that patients in the intervention group had a significant reduction in both length of stay (OR, 0.76 [95% CI, 0.66-0.86]) and infection-related mortality (OR, 0.24 [95% CI, 0.08-0.76]).Conclusions.Active alerting coupled with stewardship intervention in patients with gram-negative bacteremia positively impacted time to appropriate therapy, length of stay, and mortality and should be a target of antimicrobial stewardship programs.

Impact of antimicrobial stewardship and rapid microarray testing on patients with Gram-negative bacteremia

2017 ◽  
Vol 36 (10) ◽  
pp. 1879-1887 ◽  
Author(s):  
K. R. Rivard ◽  
V. Athans ◽  
S. W. Lam ◽  
S. M. Gordon ◽  
G. W. Procop ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Gram Negative ◽  
Gram Negative Bacteremia

scholarly journals 2006. Evaluation of Rapid Blood Culture Identification with Antimicrobial Stewardship Treatment Recommendations at a Community Health System in Patients with Gram-negative Bacteremia: Adequacy, Adherence, and Outcomes

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S673-S674
Author(s):  
Erin Deja ◽  
Jeremy J Frens
Keyword(s):  
Blood Culture ◽  
Antimicrobial Stewardship ◽  
Treatment Algorithm ◽  
Resistance Mechanism ◽  
Treatment Recommendations ◽  
Gram Negative ◽  
Gram Negative Bacteremia ◽  
Adequate Coverage ◽  
Culture Identification ◽  
Organism Identification

Abstract Background Sepsis mortality is greatly affected by the timely receipt of appropriate antibiotics. FilmArray Blood Culture Identification (BCID) is used at Cone Health to identify organisms in blood cultures within one to 2 hours after growth detected. The Cone Health antimicrobial stewardship (AMS) team has created treatment recommendations for each organism and resistance mechanism identifiable by BCID. Results and antibiotic recommendations are communicated in real time to providers by clinical pharmacists. The purpose of this evaluation was to validate the adequacy of antibiotics recommended by the BCID treatment algorithm for Gram-negative rods (GNR); assess proper implementation of the BCID notification procedure; and evaluate its effect on AMS. Methods Patients with GNR BCID results in January and April 2018 were retrospectively identified. Information collected for each patient included: demographics, location, organism, admission antibiotics, pharmacist compliance with BCID procedure, recommendation acceptance rate, organism susceptibility, changes to antibiotics post-BCID and final cultures, extended-spectrum β-lactamase (ESBL) incidence, length of antibiotic therapy, and patient outcome. Results A total of 101 patients were evaluated. The BCID treatment algorithm recommendations covered 97% of identified organisms (Figures 1–4). Resistant isolates were ESBL producers. Pharmacist antibiotic recommendations matched the treatment algorithm 66% of the time. Providers accepted 90% of pharmacist recommendations. Twenty-two percent of antibiotics were not de-escalated after BCID results without identifiable reason. Conclusion The BCID treatment algorithm provided adequate coverage for nearly all identified organisms, except ESBLs. However, patients with ESBL organisms all survived to hospital discharge. Pharmacists are following the BCID protocol in a majority of cases. One-third of recommendations deviated from the algorithm but only 17% did not have documented reasoning. Providers are very receptive to pharmacist input, with only 8% of recommendations rejected without documented reasoning. Finally, nearly a quarter of empiric antibiotics were not de-escalated despite organism identification, which represents opportunity for improvement. Disclosures All authors: No reported disclosures.

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