Literature DB >> 11404069

Effect of removal of duplicate isolates on cumulative susceptibility reports.

R L White1, L V Friedrich, D S Burgess, E W Brown, L E Scott.   

Abstract

The objective of our study is to assess the impact of different methods of duplicate isolate removal on cumulative susceptibility reports. Over a 1-year period, we studied the effect of 3 methods of duplicate isolate removal on the cumulative percentage susceptibility of 9 Gram-negative bacilli to 15 antimicrobials. Raw data from which no duplicate isolates were removed (NR) were generated by the Sensititre breakpoint susceptibility testing system. D3 and D7 were methods of duplicate isolate removal defined as follows: same patient, bacterial species, irrespective of susceptibility within either three (D3) or seven (D7) calendar days of the date of the previous culture. The third method evaluated was an algorithm utilized by Cerner, a laboratory management program that defines duplicate isolates as follows: same patient, bacterial species, and NCCLS susceptibility category to an individual antimicrobial. Differences in percentage susceptibility between the three methods of duplicate isolate removal and NR were assessed. The number of isolates studied ranged from 80 (E. aerogenes) to 681 (P. aeruginosa). Of the methods of duplicate isolate removal, the highest percentage susceptibility occurred most frequently with Cerner followed by D7 and D3. Differences in percentage susceptibility between methods of removal and NR ranged from -11 to 25%, -5 to 8%, and -3 to 10%, with Cerner, D3, and D7, respectively. The percentage susceptibility was at least 5% higher than NR with a method of removal for 15 individual organism/antimicrobial combinations in which susceptibility was > or = 70% by at least one of the methods. These occurred most frequently with Enterobacter species and Cerner. Although there is no consensus on the ideal method of duplicate isolate removal, one should be cognizant that these manipulations may produce different cumulative susceptibility reports.

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Year:  2001        PMID: 11404069     DOI: 10.1016/s0732-8893(01)00225-5

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  6 in total

1.  Nationwide antibiogram analysis using NCCLS M39-A guidelines.

Authors:  Antonia Zapantis; Melinda K Lacy; Rebecca T Horvat; Dennis Grauer; Brian J Barnes; Brian O'Neal; Rick Couldry
Journal:  J Clin Microbiol       Date:  2005-06       Impact factor: 5.948

2.  The Path of More Resistance: a Comparison of National Healthcare Safety Network and Clinical Laboratory Standards Institute Criteria in Developing Cumulative Antimicrobial Susceptibility Test Reports and Institutional Antibiograms.

Authors:  Alexander Viloria Winnett; Vinay Srinivasan; Matthew Davis; Tara Vijayan; Daniel Z Uslan; Omai B Garner; Annabelle de St Maurice
Journal:  J Clin Microbiol       Date:  2021-12-01       Impact factor: 11.677

3.  Comparison of trends of resistance rates over 3 years calculated from results for all isolates and for the first isolate of a given species from a patient.

Authors:  Sang-Oh Lee; Yong Kyun Cho; Sue-Yun Kim; Eun Sun Lee; Shin Young Park; Yiel-Hae Seo
Journal:  J Clin Microbiol       Date:  2004-10       Impact factor: 5.948

4.  Isolate removal methods and methicillin-resistant Staphylococcus aureus surveillance.

Authors:  Fenfang Li; Tracy L Ayers; Sarah Y Park; F DeWolfe Miller; Ralph MacFadden; Michele Nakata; Myra Ching Lee; Paul V Effler
Journal:  Emerg Infect Dis       Date:  2005-10       Impact factor: 6.883

5.  Effect of duplicate isolates of methicillin-susceptible and methicillin-resistant Staphylococcus aureus on antibiogram data.

Authors:  Rebecca T Horvat; Neil E Klutman; Melinda K Lacy; Dennis Grauer; Marsha Wilson
Journal:  J Clin Microbiol       Date:  2003-10       Impact factor: 5.948

6.  Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data--The Influence of Different Parameters in a Routine Clinical Microbiology Laboratory.

Authors:  Rebekka Kohlmann; Sören G Gatermann
Journal:  PLoS One       Date:  2016-01-27       Impact factor: 3.240

  6 in total

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