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Laboratory-identified vancomycin-resistant enterococci bacteremia incidence: A standardized infection ratio prediction model

Published online by Cambridge University Press:  04 June 2021

Sukarma S. S. Tanwar Open the ORCID record for Sukarma S. S. Tanwar [Opens in a new window] ,
Lindsey M. Weiner-Lastinger ,
Jeneita M. Bell ,
Katherine Allen-Bridson ,
Suparna Bagchi ,
Margaret A. Dudeck  and
Jonathan R. Edwards
Sukarma S. S. Tanwar*
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
Lindsey M. Weiner-Lastinger
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
Jeneita M. Bell
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
Katherine Allen-Bridson
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
Suparna Bagchi
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
Margaret A. Dudeck
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
Jonathan R. Edwards
Affiliation:
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
*
Author for correspondence: Sukarma S. S. Tanwar, E-mail: [email protected]
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Abstract

Background:

We analyzed 2017 healthcare facility-onset (HO) vancomycin-resistant Enterococcus (VRE) bacteremia data to identify hospital-level factors that were significant predictors of HO-VRE using the Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN) multidrug-resistant organism and Clostridioides difficile reporting module. A risk-adjusted model that can be used to calculate the number of predicted HO-VRE bacteremia events in a facility was developed, thus enabling the calculation of VRE standardized infection ratios (SIRs).

Methods:

Acute-care hospitals reporting at least 1 month of 2017 VRE bacteremia data were included in the analysis. Various hospital-level characteristics were assessed to develop a best-fit model and subsequently derive the 2018 national and state SIRs.

Results:

In 2017, 470 facilities in 35 states participated in VRE bacteremia surveillance. Inpatient VRE community-onset prevalence rate, average length of patient stay, outpatient VRE community-onset prevalence rate, and presence of an oncology unit were all significantly associated (all 95% likelihood ratio confidence limits excluded the nominal value of zero) with HO-VRE bacteremia. The 2018 national SIR was 1.01 (95% CI, 0.93–1.09) with 577 HO bacteremia events reported.

Conclusion:

The creation of an SIR enables national-, state-, and facility-level monitoring of VRE bacteremia while controlling for individual hospital-level factors. Hospitals can compare their VRE burden to a national benchmark to help them determine the effectiveness of infection prevention efforts over time.

Type
Original Article
Information
Infection Control & Hospital Epidemiology , Volume 43 , Issue 6 , June 2022 , pp. 714 - 718
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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Footnotes

†

Present affiliation: Center for Global Health, Division of Global Health Protection, Epidemic Intelligence Service, CDC, Atlanta

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