Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T07:13:20.604Z Has data issue: false hasContentIssue false
  • English
  • Français

The epidemiological impact and significance of carbapenem resistance in Pseudomonas aeruginosa bloodstream infections: a matched case–case-control analysis

Published online by Cambridge University Press:  14 August 2018

Tzach Aviv ,
Tsillia Lazarovitch ,
David Katz ,
Ronit Zaidenstein ,
Mor Dadon ,
Chen Daniel ,
Ruthy Tal-Jasper ,
Keith S. Kaye  and
Dror Marchaim
Tzach Aviv
Affiliation:
Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
Tsillia Lazarovitch
Affiliation:
Clinical Microbiology Laboratory, Assaf Harofeh Medical Center, Zerifin, Israel
David Katz
Affiliation:
Department of Internal Medicine, Shaare Zedek Medical Center, Jerusalem, Israel
Ronit Zaidenstein
Affiliation:
Unit of Infectious Diseases, Assaf Harofeh Medical Center, Zerifin, Israel,
Mor Dadon
Affiliation:
Unit of Infectious Diseases, Assaf Harofeh Medical Center, Zerifin, Israel,
Chen Daniel
Affiliation:
Unit of Infectious Diseases, Assaf Harofeh Medical Center, Zerifin, Israel,
Ruthy Tal-Jasper
Affiliation:
Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
Keith S. Kaye
Affiliation:
Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
Dror Marchaim*
Affiliation:
Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel Unit of Infectious Diseases, Assaf Harofeh Medical Center, Zerifin, Israel,
*
Author for correspondence: Dror Marchaim, MD, Unit of Infectious Diseases, Assaf Harofeh Medical Center, Zerifin, 70300, Israel. E-mail: drormarchaim@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

A case–case-control investigation (N = 255 patients) explored the epidemiology of carbapenem-resistant Pseudomonas aeruginosa (CRPA). Recent exposure to carbapenems and a rapidly fatal condition should prompt practitioners to shorten delays in initiating appropriate therapy, which can adversely impact CRPA outcomes, as opposed to the isolated impact of the carbapenem resistance determinant.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 39 , Issue 10 , October 2018 , pp. 1262 - 1265
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Pogue, JM, Kaye, KS, Cohen, DA, Marchaim, D. Appropriate antimicrobial therapy in the era of multidrug-resistant human pathogens. Clin Microbiol Infect 2015;21:302–312.Google Scholar
2. Adler, A, Friedman, ND, Marchaim, D. Multidrug-resistant gram-negative bacilli: infection control implications. Infect Dis Clin North Am 2016;30:967–997.Google Scholar
3. Aloush, V, Navon-Venezia, S, Seigman-Igra, Y, Cabili, S, Carmeli, Y. Multidrug-resistant Pseudomonas aeruginosa: risk factors and clinical impact. Antimicrob Agents Chemother 2006;50:43–48.Google Scholar
4. Lautenbach, E, Weiner, MG, Nachamkin, I, Bilker, WB, Sheridan, A, Fishman, NO. Imipenem resistance among pseudomonas aeruginosa isolates: risk factors for infection and impact of resistance on clinical and economic outcomes. Infect Control Hosp Epidemiol 2006;27:893–900.Google Scholar
5. CLSI. Performance standards for antimibrobial susceptibility testing. Nineteenth informational supplement. Approved standard M100-S26. Wayne, PA: Clinical and Laboratory Standards Institute; 2016. Approved standard M100-S26.Google Scholar
6. Kaye, KS, Harris, AD, Samore, M, Carmeli, Y. The case–case-control study design: addressing the limitations of risk factor studies for antimicrobial resistance. Infect Control Hosp Epidemiol 2005;26:346–351.Google Scholar
7. Katz, S, Ford, AB, Moskowitz, RW, Jackson, BA, Jaffe, MW. Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA 1963;185:914–919.Google Scholar
8. Charlson, ME, Pompei, P, Ales, KL, MacKenzie, CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373–383.Google Scholar
9. Bion, JF, Edlin, SA, Ramsay, G, McCabe, S, Ledingham, IM. Validation of a prognostic score in critically ill patients undergoing transport. Br Med J (Clin Res Ed) 1985;291:432–434.Google Scholar
10. Paterson, DL, Ko, WC, Von Gottberg, A, et al. International prospective study of Klebsiella pneumoniae bacteremia: implications of extended-spectrum beta-lactamase production in nosocomial infections. Ann Intern Med 2004;140:26–32.Google Scholar