Literature DB >> 18702599

Development of a prediction rule for methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococcus carriage in a Veterans Affairs Medical Center population.

Stefan Riedel1, Diana Von Stein, Kelly Richardson, Joann Page, Sara Miller, Patricia Winokur, Daniel Diekema.   

Abstract

A history of hospital admission in the prior year was the most sensitive predictor of methicillin-resistant Staphylococcus aureus or vancomycin-resistant Enterococcus colonization at admission to a Veterans Affairs Medical Center (VAMC) but missed more than one-third of carriers and required screening more than one-half of admitted patients.

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Year:  2008        PMID: 18702599     DOI: 10.1086/590662

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  9 in total

1.  Development and Validation of a Clinical Prediction Rule to Predict Transmission of Methicillin-Resistant Staphylococcus aureus in Nursing Homes.

Authors:  Sarah S Jackson; Alison D Lydecker; Laurence S Magder; Mary-Claire Roghmann
Journal:  Am J Epidemiol       Date:  2019-01-01       Impact factor: 4.897

Review 2.  A systematic literature review and meta-analysis of factors associated with methicillin-resistant Staphylococcus aureus colonization at time of hospital or intensive care unit admission.

Authors:  James A McKinnell; Loren G Miller; Samantha J Eells; Eric Cui; Susan S Huang
Journal:  Infect Control Hosp Epidemiol       Date:  2013-08-19       Impact factor: 3.254

3.  Long-term risk for readmission, methicillin-resistant Staphylococcus aureus (MRSA) infection, and death among MRSA-colonized veterans.

Authors:  Nestor M Quezada Joaquin; Daniel J Diekema; Eli N Perencevich; George Bailey; Patricia L Winokur; Marin L Schweizer
Journal:  Antimicrob Agents Chemother       Date:  2012-12-17       Impact factor: 5.191

4.  Improving efficiency in active surveillance for methicillin-resistant Staphylococcus aureus or vancomycin-resistant Enterococcus at hospital admission.

Authors:  Daniel J Morgan; Hannah R Day; Jon P Furuno; Atlisa Young; J Kristie Johnson; Douglas D Bradham; Eli N Perencevich
Journal:  Infect Control Hosp Epidemiol       Date:  2010-10-28       Impact factor: 3.254

5.  Variable performance of models for predicting methicillin-resistant Staphylococcus aureus carriage in European surgical wards.

Authors:  Andie S Lee; Angelo Pan; Stephan Harbarth; Andrea Patroni; Annie Chalfine; George L Daikos; Silvia Garilli; José Antonio Martínez; Ben S Cooper
Journal:  BMC Infect Dis       Date:  2015-02-27       Impact factor: 3.090

6.  Molecular characterization of methicillin-resistant Staphylococcus aureus (MRSA) nasal colonization and infection isolates in a Veterans Affairs hospital.

Authors:  Kalyani E Eko; Brett M Forshey; Margaret Carrel; Marin L Schweizer; Eli N Perencevich; Tara C Smith
Journal:  Antimicrob Resist Infect Control       Date:  2015-04-02       Impact factor: 4.887

7.  Predicting Carbapenem-Resistant Enterobacteriaceae Carriage at the Time of Admission Using a Statewide Hospital Discharge Database.

Authors:  Michael Y Lin; Michael J Ray; Serena Rezny; Erica Runningdeer; Robert A Weinstein; William E Trick
Journal:  Open Forum Infect Dis       Date:  2019-11-10       Impact factor: 3.835

8.  Prevalence dependent calibration of a predictive model for nasal carriage of methicillin-resistant Staphylococcus aureus.

Authors:  Johannes Elias; Peter U Heuschmann; Corinna Schmitt; Frithjof Eckhardt; Hartmut Boehm; Sebastian Maier; Annette Kolb-Mäurer; Hubertus Riedmiller; Wolfgang Müllges; Christoph Weisser; Christian Wunder; Matthias Frosch; Ulrich Vogel
Journal:  BMC Infect Dis       Date:  2013-02-28       Impact factor: 3.090

9.  Epidemiological characteristics of methicillin-resistant Staphylococcus aureus isolates from bloodstream cultures at University Hospital in the Czech Republic.

Authors:  Katerina Neradova; Marta Fridrichova; Vladislav Jakubu; Katarina Pomorska; Helena Zemlickova
Journal:  Folia Microbiol (Praha)       Date:  2020-03-14       Impact factor: 2.099

  9 in total

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