1822. Veterans are Special: Clinical Decision Tree Misses ESBL Status in Bacteremic Veterans
Session: Poster Abstract Session: Antimicrobial Stewardship: New Methods and Metrics
Saturday, October 6, 2018
Room: S Poster Hall
Background: Severe bacterial infections require appropriate empiric antibiotic choices. The Johns Hopkins Hospital clinical decision tree (JHH-CDT) to detect bacteremia with ESBL+ Enterobacteriaceae performed well at the developer's institution, but its external validity is not known. We sought to determine the performance of the JHH-CDT to predict bacteremia with ESBL+ Enterobacteriaceae in a VA population and compare the JHH-CDT with standard of care (empiric antibiotics prescribed to the patient, without using the CDT).

Methods: Electronic medical records were examined for clinical and microbiological data. The first episodes of mono-microbial bacteremia in patients at the Houston VA with positive blood cultures that grew either E. coli or Klebsiella species during 2016 were included. The JHH-CDT was used to predict whether or not the isolate would be ESBL+. Empiric initial antibiotic selection was also collected.

Results: Eighty-seven cases occurred during the study period; 95% were in men. In veterans at the VA in Houston compared to patients at JHH, respectively, the JHH-CDT demonstrated lower sensitivity (35.7% vs 51%), positive predictive value (83.3% vs. 90.8%), negative predictive value (88.8% vs. 91.9%) but similar specificity (98.6% vs. 99.1%). Of note, of the five questions in the JHH-CDT, only one was applicable to the Veteran population: history of ESBL colonization or infection in the prior 6 months. Two other CDT questions did not apply to the VA population (no Veterans had these conditions): hospitalization for >=1 day in an ESBL high-burden in the prior 6 months and age <43 years old. Standard of care led to carbapenems being empirically prescribed for 4/14 (28.6%) ESBL+ bloodstream infections and for 3/73 (4.1%) of non-ESBL bloodstream infections.

Conclusion: In this VA population, the JHH-CDT had low sensitivity because two decision nodes did not apply to our older population with little international travel. Standard of care empiric choice of antibiotics also had low sensitivity, covering only 28.6% of ESLB infections appropriately. These findings highlight the importance of developing and validating population-specific predictive stewardship tools.

Andrew Chou, MD, Medical Care Line, Infectious Disease Section, Michael E. DeBakey VA Medical Center, Houston, TX, Richard Sucgang, PhD, Verna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX, Lynn Zechiedrich, PhD, Department of Molecular Virology and Microbiology, Verna and Marrs Mclean Department of Biochemistry and Molecular Biology, Department of Pharmacology, Baylor College of Medicine, Houston, TX and Barbara W. Trautner, MD, PhD, FIDSA, Department of Veterans Affairs, Health Services Research & Development Center of Excellence, Michael E. DeBakey VA Medical Center, Houston, TX, Houston, TX; Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX; Baylor College of Medicine, Houston, TX


A. Chou, None

R. Sucgang, None

L. Zechiedrich, None

B. W. Trautner, Paratek: Consultant , Consulting fee . Zambon: Consultant , Consulting fee and Research grant .

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