Literature DB >> 30535310

Empiric Antibiotic Treatment Thresholds for Serious Bacterial Infections: A Scenario-based Survey Study.

Alex M Cressman1,2, Derek R MacFadden1,3, Amol A Verma1,4,5, Fahad Razak1,4,5, Nick Daneman1,2,3.   

Abstract

BACKGROUND: Physicians face competing demands of maximizing pathogen coverage while minimizing unnecessary use of broad-spectrum antibiotics when managing sepsis. We sought to identify physicians' perceived likelihood of coverage achieved by their usual empiric antibiotic regimen, along with minimum thresholds of coverage they would be willing to accept when managing these patients.
METHODS: We conducted a scenario-based survey of internal medicine physicians from across Canada using a 2 × 2 factorial design, varied by infection source (undifferentiated vs genitourinary) and severity (mild vs severe) denoted by the Quick Sequential Organ Failure Assessment (qSOFA) score. For each scenario, participants selected their preferred empiric antibiotic regimen, estimated the likelihood of coverage achieved by that regimen, and considered their minimum threshold of coverage.
RESULTS: We had 238 respondents: 87 (36.6%) residents and 151 attending physicians (63.4%). The perceived likelihood of antibiotic coverage and minimum thresholds of coverage (with interquartile range) for each scenario were as follows: (1) severe undifferentiated, 90% (89.5%-95.0%) and 90% (80%-95%), respectively; (2) mild undifferentiated, 89% (80%-95%) and 80% (70%-89.5%); (3) severe genitourinary, 91% (87.3%-95.0%) and 90% (80.0%-90.0%); and (4) mild genitourinary, 90% (81.8%-91.3%) and 80% (71.8%-90%). Illness severity and infectious disease specialty predicted higher thresholds of coverage whereas less clinical experience and lower self-reported prescribing intensity predicted lower thresholds of coverage.
CONCLUSIONS: Pathogen coverage of 80% and 90% are physician-acceptable thresholds for managing patients with mild and severe sepsis from bacterial infections. These data may inform clinical guidelines and decision-support tools to improve empiric antibiotic prescribing.
© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  clinical decision making; empiric antibiotics; sepsis; treatment thresholds

Mesh:

Substances:

Year:  2019        PMID: 30535310     DOI: 10.1093/cid/ciy1031

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  9 in total

1.  Antibiotic Thresholds for Sepsis and Septic Shock.

Authors:  Marin H Kollef; Jason P Burnham
Journal:  Clin Infect Dis       Date:  2019-08-30       Impact factor: 9.079

2.  Reply to Pogue and Heil, "The Clinical Impact of a Negative Molecular β-Lactamase Gene Test for Enterobacteriaceae: Let's Not Let Perfect Be the Enemy of Really Good".

Authors:  Romney M Humphries; Kyle Spafford; Shawn MacVane
Journal:  J Clin Microbiol       Date:  2020-03-25       Impact factor: 5.948

3.  Efficacy of Care and Antibiotic Use for Chalazia and Hordeola.

Authors:  Amer F Alsoudi; Lauren Ton; Davin C Ashraf; Oluwatobi O Idowu; Alan W Kong; Linyan Wang; Robert C Kersten; Bryan J Winn; Seanna R Grob; M Reza Vagefi
Journal:  Eye Contact Lens       Date:  2022-04-01       Impact factor: 2.018

Review 4.  Initial antimicrobial management of sepsis.

Authors:  Michael S Niederman; Rebecca M Baron; Lila Bouadma; Thierry Calandra; Nick Daneman; Jan DeWaele; Marin H Kollef; Jeffrey Lipman; Girish B Nair
Journal:  Crit Care       Date:  2021-08-26       Impact factor: 9.097

5.  Considerations for Empiric Antimicrobial Therapy in Sepsis and Septic Shock in an Era of Antimicrobial Resistance.

Authors:  Jeffrey R Strich; Emily L Heil; Henry Masur
Journal:  J Infect Dis       Date:  2020-07-21       Impact factor: 5.226

6.  Bacterial and Fungal Etiology of Sepsis in Children in the United States: Reconsidering Empiric Therapy.

Authors:  Andrew J Prout; Victor B Talisa; Joseph A Carcillo; Brooke K Decker; Sachin Yende
Journal:  Crit Care Med       Date:  2020-03       Impact factor: 7.598

7.  A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection.

Authors:  Sanjat Kanjilal; Michael Oberst; Sooraj Boominathan; Helen Zhou; David C Hooper; David Sontag
Journal:  Sci Transl Med       Date:  2020-11-04       Impact factor: 19.319

8.  Factors influencing choices of empirical antibiotic treatment for bacterial infections in a scenario-based survey in Vietnam.

Authors:  Thi Lan Huong Vu; Quoc Dat Vu; Bao Long Hoang; Thi Cam Tu Nguyen; Thi Dieu Ngan Ta; Behzad Nadjm; H Rogier van Doorn
Journal:  JAC Antimicrob Resist       Date:  2020-11-10

9.  A Risk-Based Clinical Decision Support System for Patient-Specific Antimicrobial Therapy (iBiogram): Design and Retrospective Analysis.

Authors:  Lars Müller; Aditya Srinivasan; Shira R Abeles; Amutha Rajagopal; Francesca J Torriani; Eliah Aronoff-Spencer
Journal:  J Med Internet Res       Date:  2021-12-03       Impact factor: 5.428

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.