Literature DB >> 28602274

Impact of an electronic sepsis initiative on antibiotic use and health care facility-onset Clostridium difficile infection rates.

Robert Hiensch1, Jashvant Poeran2, Patricia Saunders-Hao3, Victoria Adams3, Charles A Powell4, Allison Glasser5, Madhu Mazumdar2, Gopi Patel6.   

Abstract

BACKGROUND: Although integrated, electronic sepsis screening and treatment protocols are thought to improve patient outcomes, less is known about their unintended consequences. We aimed to determine if the introduction of a sepsis initiative coincided with increases in broad-spectrum antibiotic use and health care facility-onset (HCFO) Clostridium difficile infection (CDI) rates.
METHODS: We used interrupted time series data from a large, tertiary, urban academic medical center including all adult inpatients on 4 medicine wards (June 2011-July 2014). The main exposure was implementation of the sepsis screening program; the main outcomes were the use of broad-spectrum antibiotics (including 3 that were part of an order set designed for the sepsis initiative) and HCFO CDI rates. Segmented regression analyses compared outcomes in 3 time segments: before (11 months), during (14 months), and after (12 months) implementation of a sepsis initiative.
RESULTS: Antibiotic use and HFCO CDI rates increased during the period of implementation and the period after implementation compared with baseline; these increases were highest in the period after implementation (level change, 50.4 days of therapy per 1,000 patient days for overall antibiotic use and 10.8 HCFO CDIs per 10,000 patient days; P < .05). Remarkably, the main drivers of overall antibiotic use were not those included in the sepsis order set.
CONCLUSIONS: The implementation of an electronic sepsis screening and treatment protocol coincided with increased broad-spectrum antibiotic use and HCFO CDIs. Because these protocols are increasingly used, further study of their unintended consequences is warranted.
Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Antibiotic stewardship; Clostridium difficile infection; Surviving Sepsis Campaign

Mesh:

Substances:

Year:  2017        PMID: 28602274     DOI: 10.1016/j.ajic.2017.04.005

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  13 in total

1.  Best practice for sepsis.

Authors:  Jordi Rello; Francesca Rubulotta
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

2.  Panacea or Perplexing?

Authors:  Kathleen Chiotos; Laura F Sartori; Fran Balamuth
Journal:  Crit Care Med       Date:  2022-03-01       Impact factor: 7.598

Review 3.  Timeliness of antibiotics for patients with sepsis and septic shock.

Authors:  Michiel Schinkel; Rishi S Nannan Panday; W Joost Wiersinga; Prabath W B Nanayakkara
Journal:  J Thorac Dis       Date:  2020-02       Impact factor: 2.895

4.  Identifying High-Risk Subphenotypes and Associated Harms From Delayed Antibiotic Orders and Delivery.

Authors:  Xuan Han; Alexandra Spicer; Kyle A Carey; Emily R Gilbert; Neda Laiteerapong; Nirav S Shah; Christopher Winslow; Majid Afshar; Markos G Kashiouris; Matthew M Churpek
Journal:  Crit Care Med       Date:  2021-10-01       Impact factor: 9.296

Review 5.  Recent advances in understanding the epidemiology of healthcare-associated infections.

Authors:  Pranavi Sreeramoju
Journal:  F1000Res       Date:  2019-01-25

6.  Early Infectious Disease Consultation Is Associated With Lower Mortality in Patients With Severe Sepsis or Septic Shock Who Complete the 3-Hour Sepsis Treatment Bundle.

Authors:  Theresa Madaline; Francis Wadskier Montagne; Ruth Eisenberg; Wenzhu Mowrey; Jaskiran Kaur; Maria Malik; Inessa Gendlina; Yi Guo; Deborah White; Liise-Anne Pirofski; Uzma Sarwar
Journal:  Open Forum Infect Dis       Date:  2019-10-31       Impact factor: 3.835

7.  Early Detection of Septic Shock Onset Using Interpretable Machine Learners.

Authors:  Debdipto Misra; Venkatesh Avula; Donna M Wolk; Hosam A Farag; Jiang Li; Yatin B Mehta; Ranjeet Sandhu; Bipin Karunakaran; Shravan Kethireddy; Ramin Zand; Vida Abedi
Journal:  J Clin Med       Date:  2021-01-15       Impact factor: 4.241

Review 8.  Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review.

Authors:  Khalia Ackermann; Jannah Baker; Malcolm Green; Mary Fullick; Hilal Varinli; Johanna Westbrook; Ling Li
Journal:  J Med Internet Res       Date:  2022-02-23       Impact factor: 7.076

9.  Prevalence of Antibiotic-Resistant Pathogens in Culture-Proven Sepsis and Outcomes Associated With Inadequate and Broad-Spectrum Empiric Antibiotic Use.

Authors:  Chanu Rhee; Sameer S Kadri; John P Dekker; Robert L Danner; Huai-Chun Chen; David Fram; Fang Zhang; Rui Wang; Michael Klompas
Journal:  JAMA Netw Open       Date:  2020-04-01

Review 10.  Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.

Authors:  Lucas M Fleuren; Thomas L T Klausch; Charlotte L Zwager; Linda J Schoonmade; Tingjie Guo; Luca F Roggeveen; Eleonora L Swart; Armand R J Girbes; Patrick Thoral; Ari Ercole; Mark Hoogendoorn; Paul W G Elbers
Journal:  Intensive Care Med       Date:  2020-01-21       Impact factor: 17.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.