Introducing the Escalation Antibiogram: A Simple Tool to Inform Changes in Empiric Antimicrobials in the Nonresponding Patient.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
14 11 2022
Historique:
received: 17 09 2021
pubmed: 6 4 2022
medline: 18 11 2022
entrez: 5 4 2022
Statut: ppublish

Résumé

Hospital antibiograms guide initial empiric antibiotic treatment selections, but do not directly inform escalation of treatment among nonresponding patients. Using gram-negative bacteremia as an exemplar condition, we sought to introduce the concept of an escalation antibiogram. Among episodes of gram-negative bacteremia between 2017 and 2020 from 6 hospitals in the Greater Toronto Area, we generated escalation antibiograms for each of 12 commonly used agents. Among organisms resistant to that antibiotic, we calculated the likelihood of susceptibility to each of the other 11 agents. In subgroup analyses, we examined escalation antibiograms across study years, individual hospitals, community versus hospital onset, and pathogen type. Among 6577 gram-negative bacteremia episodes, the likelihood of coverage was ampicillin 31.8%, cefazolin 62.7%, ceftriaxone 67.1%, piperacillin-tazobactam 72.5%, ceftazidime 74.1%, trimethoprim-sulfamethoxazole 74.4%, ciprofloxacin 77.1%, tobramycin 88.3%, gentamicin 88.8%, ertapenem 91.0%, amikacin 97.5%, and meropenem 98.2%. The escalation antibiograms revealed marked shifts in likelihood of coverage by the remaining 11 agents. For example, among ceftriaxone-resistant isolates, piperacillin-tazobactam susceptibility (21.2%) was significantly lower than trimethoprim-sulfamethoxazole (54.2%, P < .0001), ciprofloxacin (63.0%, P < .0001), ertapenem (73.4%, P < .0001), tobramycin (80.1%, P < .0001), gentamicin (82.8%, P < .0001), meropenem (94.3%, P < .0001), and amikacin (97.1%, P < .0001). Trimethoprim-sulfamethoxazole was the second-ranked agent in the meropenem escalation antibiogram (49.6%) and first in the amikacin escalation antibiogram (86.0%). Escalation antibiograms were consistent across 4 study years and 6 hospitals. Escalation antibiograms can be generated to inform empiric treatment changes in nonresponding patients. These tools can yield important insights such as avoiding the common maneuver of escalating from ceftriaxone to piperacillin-tazobactam in suspected gram-negative bacteremia.

Sections du résumé

BACKGROUND
Hospital antibiograms guide initial empiric antibiotic treatment selections, but do not directly inform escalation of treatment among nonresponding patients.
METHODS
Using gram-negative bacteremia as an exemplar condition, we sought to introduce the concept of an escalation antibiogram. Among episodes of gram-negative bacteremia between 2017 and 2020 from 6 hospitals in the Greater Toronto Area, we generated escalation antibiograms for each of 12 commonly used agents. Among organisms resistant to that antibiotic, we calculated the likelihood of susceptibility to each of the other 11 agents. In subgroup analyses, we examined escalation antibiograms across study years, individual hospitals, community versus hospital onset, and pathogen type.
RESULTS
Among 6577 gram-negative bacteremia episodes, the likelihood of coverage was ampicillin 31.8%, cefazolin 62.7%, ceftriaxone 67.1%, piperacillin-tazobactam 72.5%, ceftazidime 74.1%, trimethoprim-sulfamethoxazole 74.4%, ciprofloxacin 77.1%, tobramycin 88.3%, gentamicin 88.8%, ertapenem 91.0%, amikacin 97.5%, and meropenem 98.2%. The escalation antibiograms revealed marked shifts in likelihood of coverage by the remaining 11 agents. For example, among ceftriaxone-resistant isolates, piperacillin-tazobactam susceptibility (21.2%) was significantly lower than trimethoprim-sulfamethoxazole (54.2%, P < .0001), ciprofloxacin (63.0%, P < .0001), ertapenem (73.4%, P < .0001), tobramycin (80.1%, P < .0001), gentamicin (82.8%, P < .0001), meropenem (94.3%, P < .0001), and amikacin (97.1%, P < .0001). Trimethoprim-sulfamethoxazole was the second-ranked agent in the meropenem escalation antibiogram (49.6%) and first in the amikacin escalation antibiogram (86.0%). Escalation antibiograms were consistent across 4 study years and 6 hospitals.
CONCLUSIONS
Escalation antibiograms can be generated to inform empiric treatment changes in nonresponding patients. These tools can yield important insights such as avoiding the common maneuver of escalating from ceftriaxone to piperacillin-tazobactam in suspected gram-negative bacteremia.

Identifiants

pubmed: 35380628
pii: 6563749
doi: 10.1093/cid/ciac256
doi:

Substances chimiques

Ertapenem G32F6EID2H
Amikacin 84319SGC3C
Meropenem FV9J3JU8B1
Ceftriaxone 75J73V1629
Trimethoprim, Sulfamethoxazole Drug Combination 8064-90-2
Anti-Bacterial Agents 0
Piperacillin, Tazobactam Drug Combination 157044-21-8
Anti-Infective Agents 0
Tobramycin VZ8RRZ51VK
Ciprofloxacin 5E8K9I0O4U
Gentamicins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1763-1771

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Déclaration de conflit d'intérêts

Potential conflicts of interest. The authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

Auteurs

Daniel Teitelbaum (D)

Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Marion Elligsen (M)

Department of Pharmacy, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Kevin Katz (K)

Department of Microbiology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Department of Laboratory Medicine, University of Toronto, Ontario, Canada.
Shared Hospital Laboratories, Toronto, Ontario, Canada.

Philip W Lam (PW)

Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Infectious Diseases, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Jennifer Lo (J)

Department of Pharmacy, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Derek MacFadden (D)

Division of Infectious Diseases, The Ottawa Hospital, University of Ottawa, Ontario, Canada.

Christie Vermeiren (C)

Department of Laboratory Medicine, University of Toronto, Ontario, Canada.
Shared Hospital Laboratories, Toronto, Ontario, Canada.

Nick Daneman (N)

Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of Infectious Diseases, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Sunnybrook Research Institute, Toronto, Ontario, Canada.

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Classifications MeSH