Literature DB >> 33100358

Clinical Blood Isolates from Hemodialysis Patients: Distribution of Organisms and Antimicrobial Resistance, 2007-2014.

Courtney K Lawrence1, Chris Sathianathan2, Mauro Verrelli3, Philippe Lagacé-Wiens4, Robert Ariano5, Grace Badejo6, Michelle L Boyce7, J Christine Davis8, Sheryl A Zelenitsky9.   

Abstract

BACKGROUND: Given the morbidity and mortality associated with bloodstream infections in hemodialysis patients, understanding the microbiology is essential to optimizing treatment in this high-risk population.
OBJECTIVES: To conduct a retrospective surveillance study of clinical blood isolates from adult hemodialysis patients, and to predict the microbiological coverage of empiric therapies for bloodstream infections in this population.
METHODS: Clinical blood isolate data were collected from the 4 main outpatient hemodialysis units in Winnipeg, Manitoba, from 2007 to 2014. The distribution of organisms and antimicrobial susceptibilities were characterized. When appropriate, changes over time were tested using time series analysis. Study data were used to predict and compare the microbiological coverage of various empiric therapies for bloodstream infections in hemodialysis patients.
RESULTS: The estimated annual number of patients receiving chronic hemodialysis increased steadily over the study period (p < 0.001), whereas the number of blood isolates increased initially, then decreased significantly, from 180 in 2011 to 93 in 2014 (p = 0.04). Gram-positive bacteria represented 72.6% (743/1024) of isolates, including Staphylococcus aureus (36.9%, 378/1024) and coagulase-negative staphylococci (23.1%, 237/1024). Only 26.1% (267/1024) of the isolates were gram-negative bacteria, the majority Enterobacteriaceae. The overall rate of methicillin resistance in S. aureus was 17.5%, and although annual rates were variable, there was a significant increase over time (p = 0.04). Antibiotic resistance in gram-negative bacteria was relatively low, except in Escherichia coli, where 13.5% and 16.2% of isolates were resistant to ceftriaxone and ciprofloxacin, respectively. Empiric therapy with vancomycin plus an agent for gram-negative coverage was predicted to cover 98.8% to 99.7% of blood isolates from hemodialysis patients, whereas cefazolin plus an agent for gram-negative coverage would cover only 67.5% to 68.4%.
CONCLUSIONS: In an era of increasing antimicrobial resistance, data such as these and ongoing surveillance are essential components of antimicrobial stewardship in the hemodialysis population. 2020 Canadian Society of Hospital Pharmacists. All content in the Canadian Journal of Hospital Pharmacy is copyrighted by the Canadian Society of Hospital Pharmacy. In submitting their manuscripts, the authors transfer, assign, and otherwise convey all copyright ownership to CSHP.

Entities:  

Keywords:  antimicrobial stewardship; hemodialysis; microbiology; resistance; surveillance

Year:  2020        PMID: 33100358      PMCID: PMC7556389     

Source DB:  PubMed          Journal:  Can J Hosp Pharm        ISSN: 0008-4123


  10 in total

1.  Clinical practice guidelines for the diagnosis and management of intravascular catheter-related infection: 2009 Update by the Infectious Diseases Society of America.

Authors:  Leonard A Mermel; Michael Allon; Emilio Bouza; Donald E Craven; Patricia Flynn; Naomi P O'Grady; Issam I Raad; Bart J A Rijnders; Robert J Sherertz; David K Warren
Journal:  Clin Infect Dis       Date:  2009-07-01       Impact factor: 9.079

2.  Prevalence of antimicrobial resistant pathogens from blood cultures from Canadian hospitals: results of the CANWARD 2007-2009 study.

Authors:  Heather J Adam; Melanie DeCorby; Robert Rennie; James A Karlowsky; Daryl J Hoban; George G Zhanel
Journal:  Diagn Microbiol Infect Dis       Date:  2011-03       Impact factor: 2.803

3.  National Healthcare Safety Network (NHSN) Dialysis Event Surveillance Report for 2014.

Authors:  Duc B Nguyen; Alicia Shugart; Christi Lines; Ami B Shah; Jonathan Edwards; Daniel Pollock; Dawn Sievert; Priti R Patel
Journal:  Clin J Am Soc Nephrol       Date:  2017-06-29       Impact factor: 8.237

4.  Dialysis Event Surveillance Report: National Healthcare Safety Network data summary, January 2007 through April 2011.

Authors:  Priti R Patel; Alicia Shugart; Chukwuma Mbaeyi; Ann Goding Sauer; Anna Melville; Duc B Nguyen; Alexander J Kallen
Journal:  Am J Infect Control       Date:  2016-03-31       Impact factor: 2.918

Review 5.  Addressing the Problem of Multidrug-Resistant Organisms in Dialysis.

Authors:  Erika M C D'Agata
Journal:  Clin J Am Soc Nephrol       Date:  2018-03-22       Impact factor: 8.237

Review 6.  Infectious complications in dialysis--epidemiology and outcomes.

Authors:  Philip Kam-Tao Li; Kai Ming Chow
Journal:  Nat Rev Nephrol       Date:  2011-12-20       Impact factor: 28.314

Review 7.  Prevention and treatment of hemodialysis-related bloodstream infections.

Authors:  Bernard C Camins
Journal:  Semin Dial       Date:  2013 Jul-Aug       Impact factor: 3.455

8.  Epidemiology of infections and antimicrobial use in Australian haemodialysis outpatients: findings from a Victorian surveillance network, 2008-2015.

Authors:  L J Worth; T Spelman; S G Holt; J A Brett; A L Bull; M J Richards
Journal:  J Hosp Infect       Date:  2017-05-30       Impact factor: 3.926

9.  Trends in antimicrobial resistance over 10 years among key bacterial pathogens from Canadian hospitals: results of the CANWARD study 2007-16.

Authors:  Philippe R S Lagacé-Wiens; Heather J Adam; Susan Poutanen; Melanie R Baxter; Andrew J Denisuik; Alyssa R Golden; Kimberly A Nichol; Andrew Walkty; James A Karlowsky; Michael R Mulvey; George Golding; Daryl J Hoban; George G Zhanel
Journal:  J Antimicrob Chemother       Date:  2019-08-01       Impact factor: 5.790

10.  Risk and Prognosis of Bloodstream Infections among Patients on Chronic Hemodialysis: A Population-Based Cohort Study.

Authors:  Lars Skov Dalgaard; Mette Nørgaard; Bente Jespersen; Søren Jensen-Fangel; Lars Jørgen Østergaard; Henrik Carl Schønheyder; Ole Schmeltz Søgaard
Journal:  PLoS One       Date:  2015-04-24       Impact factor: 3.240

  10 in total

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