Literature DB >> 23600755

Antimicrobial use and stewardship programs among dialysis centers.

Erika M C D'Agata1.   

Abstract

Antimicrobial exposure contributes to the emergence and spread of multidrug-resistant organisms. As rates of colonization and infection with these organisms are among the highest in the population of chronic hemodialysis patients and antimicrobial exposure among this patient population is extensive, it is imperative to prescribe antimicrobials judiciously. Thirty to forty percent of chronic hemodialysis patients receive at least one dose of antimicrobials in outpatient centers over a one-year period. Up to 30% of these antimicrobials are prescribed inappropriately, as per national guidelines. The predominant reasons include (i) failure to de-escalate to a more narrow-spectrum antimicrobial, (ii) criteria for infection, especially skin and soft tissue infections, are not met, and (iii) indications and duration for surgical prophylaxis for minor vascular-access-related procedures do not follow recommended guidelines. Vancomycin, third- or fourth-generation cephalosporins and cefazolin are the most common antimicrobials or antimicrobial classes prescribed inappropriately. Antimicrobial stewardship programs reduce both inappropriate antimicrobial exposure and associated costs. Effective strategies include (i) education, (ii) guidelines and clinical pathways, (iii) antimicrobial order forms, (iv) de-escalation therapy, and (v) prospective audit and feedback. Dialysis centers need to identify a team of individuals that will lead the antimicrobial stewardship program. Administrative and financial support for this team is essential. After implementation of the program, regular monitoring for compliance with strategies, and identifying factors that are preventing compliance are necessary. The efficacy of the program should also be evaluated at regular intervals through process and outcome measures.
© 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23600755     DOI: 10.1111/sdi.12090

Source DB:  PubMed          Journal:  Semin Dial        ISSN: 0894-0959            Impact factor:   3.455


  8 in total

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Journal:  Semin Dial       Date:  2018-01-07       Impact factor: 3.455

2.  Infection Monitoring in Dialysis Units: A Plea for "Cleaner" Data.

Authors:  Dana C Miskulin; Ambreen Gul
Journal:  Clin J Am Soc Nephrol       Date:  2017-06-29       Impact factor: 8.237

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.  Patterns of Antimicrobial Use in an Outpatient Hemodialysis Unit.

Authors:  Sylvia Sivarajahkumar; Miranda So; Andrew M Morris; Charmaine Lok; Chaim M Bell; Marisa Battistella
Journal:  Can J Hosp Pharm       Date:  2022

5.  Patterns of use and appropriateness of antibiotics prescribed to patients receiving haemodialysis: an observational study.

Authors:  Katrina Hui; Michelle Nalder; Kirsty Buising; Aspasia Pefanis; Khai Y Ooi; Eugenie Pedagogos; Craig Nelson; Carl M J Kirkpatrick; David C M Kong
Journal:  BMC Nephrol       Date:  2017-05-12       Impact factor: 2.388

6.  Towards a global definition of responsible antibiotic use: results of an international multidisciplinary consensus procedure.

Authors:  Annelie A Monnier; Barry I Eisenstein; Marlies E Hulscher; Inge C Gyssens
Journal:  J Antimicrob Chemother       Date:  2018-06-01       Impact factor: 5.790

7.  Carbapenem-Resistant Enterobacteriaceae Infections in Patients on Renal Replacement Therapy.

Authors:  Brandon Eilertson; Eric Cober; Sandra S Richter; Federico Perez; Robert A Salata; Robert C Kalayjian; Richard R Watkins; Yohei Doi; Keith S Kaye; Scott Evans; Vance G Fowler; Robert A Bonomo; Jack DeHovitz; Barry Kreiswirth; David van Duin
Journal:  Open Forum Infect Dis       Date:  2017-10-06       Impact factor: 3.835

8.  Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling.

Authors:  Joanna R Wares; Barry Lawson; Douglas Shemin; Erika M C D'Agata
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

  8 in total

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