Cargando…
1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections
BACKGROUND: The administration of clinically indicated antibiotics prior to surgery in combination with other evidence-based practices reduces the risk of surgical site infection (SSI). A retrospective study of SSI at a community-based hospital that performs 5,700 procedures annually revealed broad...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677835/ http://dx.doi.org/10.1093/ofid/ofad500.1312 |
_version_ | 1785150223754985472 |
---|---|
author | Voss, Heather Salim, Asra Postelnick, Mike Borkowski, Jaime |
author_facet | Voss, Heather Salim, Asra Postelnick, Mike Borkowski, Jaime |
author_sort | Voss, Heather |
collection | PubMed |
description | BACKGROUND: The administration of clinically indicated antibiotics prior to surgery in combination with other evidence-based practices reduces the risk of surgical site infection (SSI). A retrospective study of SSI at a community-based hospital that performs 5,700 procedures annually revealed broad variability in the timing of prophylactic antibiotic administration in relation to the time of incision. A Tableau dashboard was created to compare antibiotic administration to surgical incision timing and the impact variability may have on the incidence of SSI. METHODS: A multidisciplinary team was formed with surgeons, anesthesia, nursing, antimicrobial and diagnostic stewardship, infection prevention, and analytics representatives. Antibiotics selected for inclusion were those most prescribed for surgical prophylaxis according to organizational practice guidelines. Using the dashboard, optimal administration times were identified based upon the pharmacokinetics of the antibiotic as well as the expected tissue concentration at the incision site when available. (See table) Surgical encounters that received an antibiotic were classified as “pass”, “fail”, or “other”. Antibiotics started within the determined timeframe passed, those started earlier or later than the timeframe failed, and the others received antibiotics not included in the dashboard logic. [Figure: see text] RESULTS: In a baseline review 35.5% of cases failed timing criteria. Failures occurred most frequently with cefazolin, ceftriaxone and clindamycin. A retrospective analysis of SSI (n = 34) classified using the National Healthcare Safety Network (NHSN) definitions correlated with the baseline data. The outliers were comprised of antibiotics started too close to or after incision (14.7%) and antibiotics started much earlier than the dosing timeframe and incision (17.6%). CONCLUSION: The surgical prophylaxis timing dashboard helped to identify gaps in administration practices and highlighted the need for process improvement initiatives. Ongoing interventions to improve adherence to national guidelines will be evaluated to determine the impact on SSI rates. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-10677835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106778352023-11-27 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections Voss, Heather Salim, Asra Postelnick, Mike Borkowski, Jaime Open Forum Infect Dis Abstract BACKGROUND: The administration of clinically indicated antibiotics prior to surgery in combination with other evidence-based practices reduces the risk of surgical site infection (SSI). A retrospective study of SSI at a community-based hospital that performs 5,700 procedures annually revealed broad variability in the timing of prophylactic antibiotic administration in relation to the time of incision. A Tableau dashboard was created to compare antibiotic administration to surgical incision timing and the impact variability may have on the incidence of SSI. METHODS: A multidisciplinary team was formed with surgeons, anesthesia, nursing, antimicrobial and diagnostic stewardship, infection prevention, and analytics representatives. Antibiotics selected for inclusion were those most prescribed for surgical prophylaxis according to organizational practice guidelines. Using the dashboard, optimal administration times were identified based upon the pharmacokinetics of the antibiotic as well as the expected tissue concentration at the incision site when available. (See table) Surgical encounters that received an antibiotic were classified as “pass”, “fail”, or “other”. Antibiotics started within the determined timeframe passed, those started earlier or later than the timeframe failed, and the others received antibiotics not included in the dashboard logic. [Figure: see text] RESULTS: In a baseline review 35.5% of cases failed timing criteria. Failures occurred most frequently with cefazolin, ceftriaxone and clindamycin. A retrospective analysis of SSI (n = 34) classified using the National Healthcare Safety Network (NHSN) definitions correlated with the baseline data. The outliers were comprised of antibiotics started too close to or after incision (14.7%) and antibiotics started much earlier than the dosing timeframe and incision (17.6%). CONCLUSION: The surgical prophylaxis timing dashboard helped to identify gaps in administration practices and highlighted the need for process improvement initiatives. Ongoing interventions to improve adherence to national guidelines will be evaluated to determine the impact on SSI rates. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10677835/ http://dx.doi.org/10.1093/ofid/ofad500.1312 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Voss, Heather Salim, Asra Postelnick, Mike Borkowski, Jaime 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections |
title | 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections |
title_full | 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections |
title_fullStr | 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections |
title_full_unstemmed | 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections |
title_short | 1476. Optimizing Preoperative Antibiotic Administration Timing to Reduce Surgical Site Infections |
title_sort | 1476. optimizing preoperative antibiotic administration timing to reduce surgical site infections |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677835/ http://dx.doi.org/10.1093/ofid/ofad500.1312 |
work_keys_str_mv | AT vossheather 1476optimizingpreoperativeantibioticadministrationtimingtoreducesurgicalsiteinfections AT salimasra 1476optimizingpreoperativeantibioticadministrationtimingtoreducesurgicalsiteinfections AT postelnickmike 1476optimizingpreoperativeantibioticadministrationtimingtoreducesurgicalsiteinfections AT borkowskijaime 1476optimizingpreoperativeantibioticadministrationtimingtoreducesurgicalsiteinfections |