Introducing the Escalation Antibiogram: A Simple Tool to Inform Changes in Empiric Antimicrobials in the Nonresponding Patient.
Humans
Ertapenem
Amikacin
Meropenem
Gram-Negative Bacteria
Ceftriaxone
/ therapeutic use
Trimethoprim, Sulfamethoxazole Drug Combination
Microbial Sensitivity Tests
Anti-Bacterial Agents
/ therapeutic use
Piperacillin, Tazobactam Drug Combination
Anti-Infective Agents
Tobramycin
Bacteremia
/ drug therapy
Ciprofloxacin
Gentamicins
antibacterials
antibiogram
bacteremia
empiric treatment sepsis
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
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
1763-1771Informations 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.