The Rapid Prediction of Carbapenem Resistance in Patients With Klebsiella pneumoniae Bacteremia Using Electronic Medical Record Data
Author(s) -
Timothy Sullivan,
Osamu Ichikawa,
Joel T. Dudley,
Li Li,
Judith A. Aberg
Publication year - 2018
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/ofy091
Subject(s) - medicine , bacteremia , carbapenem , klebsiella pneumoniae , logistic regression , antibiotics , medical record , microbiology and biotechnology , biochemistry , escherichia coli , biology , gene , chemistry
A multiple logistic regression model using EMR data can generate rapid, sensitive predictions of carbapenem resistance in patients with bacteremia, which could help shorten the time to effective therapy in these cases.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom