Published models predicting nasal colonization with Methicillin-resistant Staphylococcus aureus among hospital admissions predominantly focus on separation of carriers from non-carriers and are frequently evaluated using measures of discrimination. In contrast, accurate estimation of carriage probability, which may inform decisions regarding treatment and infection control, is rarely assessed. Furthermore, no published models adjust for MRSA prevalence.
%0 Journal Article
%1 elias_prevalence_2013
%A Elias, Johannes
%A Heuschmann, Peter U.
%A Schmitt, Corinna
%A Eckhardt, Frithjof
%A Boehm, Hartmut
%A Maier, Sebastian
%A Kolb-Mäurer, Annette
%A Riedmiller, Hubertus
%A Müllges, Wolfgang
%A Weisser, Christoph
%A Wunder, Christian
%A Frosch, Matthias
%A Vogel, Ulrich
%D 2013
%J BMC Infectious Diseases
%K infection_control je
%N 1
%P 111
%R 10.1186/1471-2334-13-111
%T Prevalence dependent calibration of a predictive model for nasal carriage of methicillin-resistant Staphylococcus aureus
%U http://www.biomedcentral.com/1471-2334/13/111/abstract
%V 13
%X Published models predicting nasal colonization with Methicillin-resistant Staphylococcus aureus among hospital admissions predominantly focus on separation of carriers from non-carriers and are frequently evaluated using measures of discrimination. In contrast, accurate estimation of carriage probability, which may inform decisions regarding treatment and infection control, is rarely assessed. Furthermore, no published models adjust for MRSA prevalence.
@article{elias_prevalence_2013,
abstract = {Published models predicting nasal colonization with Methicillin-resistant Staphylococcus aureus among hospital admissions predominantly focus on separation of carriers from non-carriers and are frequently evaluated using measures of discrimination. In contrast, accurate estimation of carriage probability, which may inform decisions regarding treatment and infection control, is rarely assessed. Furthermore, no published models adjust for {MRSA} prevalence.},
added-at = {2013-02-28T16:29:44.000+0100},
author = {Elias, Johannes and Heuschmann, Peter U. and Schmitt, Corinna and Eckhardt, Frithjof and Boehm, Hartmut and Maier, Sebastian and Kolb-Mäurer, Annette and Riedmiller, Hubertus and Müllges, Wolfgang and Weisser, Christoph and Wunder, Christian and Frosch, Matthias and Vogel, Ulrich},
biburl = {https://www.bibsonomy.org/bibtex/23c683f41f0e9e8591edadf8e6f56e7a9/ag_vogel},
copyright = {http://creativecommons.org/licenses/by/2.0/},
doi = {10.1186/1471-2334-13-111},
file = {Snapshot:C:\Users\joe15vj\AppData\Roaming\Mozilla\Firefox\Profiles\2sy03q70.default\zotero\storage\4R54E45M\abstract.html:text/html},
interhash = {77d31551c6a2e71afae0a27522436b57},
intrahash = {3c683f41f0e9e8591edadf8e6f56e7a9},
issn = {1471-2334},
journal = {{BMC} Infectious Diseases},
keywords = {infection_control je},
language = {en},
month = feb,
number = 1,
pages = 111,
timestamp = {2014-02-06T18:28:42.000+0100},
title = {Prevalence dependent calibration of a predictive model for nasal carriage of methicillin-resistant Staphylococcus aureus},
url = {http://www.biomedcentral.com/1471-2334/13/111/abstract},
urldate = {2013-02-28},
volume = 13,
year = 2013
}