Predicting Carbapenem-Resistant Enterobacteriaceae Carriage at the Time of Admission Using a State-Wide Hospital Discharge Database | Zendy

Michael Y. Lin | Zendy; Michael Ray | Zendy; Serena Rezny | Zendy; Erica Runningdeer | Zendy; Robert A. Weinstein | Zendy; William E. Trick | Zendy

Open Access

Predicting Carbapenem-Resistant Enterobacteriaceae Carriage at the Time of Admission Using a State-Wide Hospital Discharge Database

Author(s) -

Michael Y. Lin,

Michael Ray,

Serena Rezny,

Erica Runningdeer,

Robert A. Weinstein,

William E. Trick

Publication year - 2019

Publication title -

open forum infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.546

H-Index - 35

ISSN - 2328-8957

DOI - 10.1093/ofid/ofz483

Subject(s) - medicine , acute care , logistic regression , database , emergency medicine , hospital admission , infection control , receiver operating characteristic , cohort , hospital discharge , carriage , carbapenem resistant enterobacteriaceae , health care , intensive care medicine , enterobacteriaceae , computer science , biochemistry , pathology , escherichia coli , gene , chemistry , economics , economic growth

A prediction model utilizing prior health care exposure information could discriminate patients who were likely to harbor CRE at the time of hospital admission.

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