External Validation of Difficult-to-Treat Resistance Prevalence and Mortality Risk in Gram-Negative Bloodstream Infection Using Electronic Health Record Data From 140 US Hospitals-Reference-Cited by-同舟云学术

External Validation of Difficult-to-Treat Resistance Prevalence and Mortality Risk in Gram-Negative Bloodstream Infection Using Electronic Health Record Data From 140 US Hospitals

Published:2019-02-28 Issue:4 Volume:6 Page:
ISSN:2328-8957
Container-title:Open Forum Infectious Diseases
language:en
Short-container-title:

Author:

Kadri Sameer S¹^ORCID,Lai Yi Ling (Elaine)²,Ricotta Emily E²,Strich Jeffrey R¹³,Babiker Ahmed⁴,Rhee Chanu⁵⁶,Klompas Michael⁵⁶,Dekker John P⁷,Powers John H⁸,Danner Robert L¹,Adjemian Jennifer²³,

Affiliation:

1. Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland

2. Epidemiology Unit, Division of Intramural Research, National Institutes of Allergy and Infectious Disease, National Institutes of Health, Bethesda, Maryland

3. United States Public Health Service, Commissioned Corps, Rockville, Maryland

4. Division of Infectious Diseases, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania

5. Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, Massachusetts

6. Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts

7. Laboratory of Clinical Immunology and Microbiology, National Institutes of Allergy and Infectious Disease, National Institutes of Health, Bethesda, Maryland

8. Clinical Research Directorate/Clinical Monitoring Research Program, Frederick National Laboratory for Cancer Research, sponsored by the National Cancer Institute

Abstract

Abstract Difficult-to-treat resistance (DTR; ie, co-resistance to all first-line antibiotics) in gram-negative bloodstream infection (GNBSI) is associated with decreased survival in administrative data models. We externally validated DTR prevalence and associated mortality risk in GNBSI using detailed clinical data from electronic health records to adjust for baseline differences in acute illness severity.

Funder

National Institutes of Health

National Institute of Allergy and Infectious Diseases

National Cancer Institute

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

Link

http://academic.oup.com/ofid/article-pdf/6/4/ofz110/28930670/ofz110.pdf

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