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2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System

BACKGROUND: Compliance with evidence-based treatment bundles in patients with sepsis can lead to improved survival in persons with sepsis or septic shock. A way to ensure the adoption of best practices is the early use standardized order sets based on suspected source of infection. METHODS: The pati...

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Autores principales: Daragjati, Florian, Sebastian, Danielle, Roberts, Phillip, Rashid, Asifur, Erlinger, Thomas, Fakih, Mohamad G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808650/
http://dx.doi.org/10.1093/ofid/ofz360.1779
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author Daragjati, Florian
Sebastian, Danielle
Roberts, Phillip
Rashid, Asifur
Erlinger, Thomas
Fakih, Mohamad G
author_facet Daragjati, Florian
Sebastian, Danielle
Roberts, Phillip
Rashid, Asifur
Erlinger, Thomas
Fakih, Mohamad G
author_sort Daragjati, Florian
collection PubMed
description BACKGROUND: Compliance with evidence-based treatment bundles in patients with sepsis can lead to improved survival in persons with sepsis or septic shock. A way to ensure the adoption of best practices is the early use standardized order sets based on suspected source of infection. METHODS: The patient population was built by connecting electronic health record (EHR) to administrative data. In the EHR, we identified patients who had a sepsis discharge diagnosis code based on the International Statistical Classification of Disease and Related Health Problems (ICD−10), from August 1, 2018 to February 28, 2019. We evaluated the empiric use of sepsis order sets and patient outcomes. We adjusted for age, gender, Elixhauser Comorbidity Score (ECS), intensive care unit (ICU) status, and admission type. For the analysis, we included patients age 18 and older from facilities where we were able to match greater than 70 percent of patients. Matching was done by facility on medical record number and discharge date. RESULTS: There were 26,604 patients included in the analysis. The overall mortality rate was 10.67% (n = 2,839). Mortality associated with sepsis in patients that had a sepsis order set used was 8.92% (791/8,872), while for those whom a sepsis order set was not used was 11.55% (2,048/17,732). When mortality data were adjusted for age, gender, ECS, ICU status, admission type and hospital size, the use of sepsis order sets was associated with an adjusted odds ratio of 0.793 (95% CI 0.722, 0.868). In addition, in all sepsis patients who had an ICU admission, the use of the sepsis order sets was associated with an adjusted odds ratio of 0.804 (95% CI 0.725, 0.890). Similarly, in all sepsis patients who did not have an ICU admission, the use of the sepsis order sets was associated with an adjusted odds ratio of 0.688 (95% CI 0.556, 0.847). CONCLUSION: The use of the standardized sepsis order sets in patients with sepsis was associated with a 20.7% relative risk reduction in mortality. In conjunction with rapid recognition of sepsis, early initiation of the sepsis order sets may lead to improved mortality in patients with sepsis. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68086502019-10-28 2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System Daragjati, Florian Sebastian, Danielle Roberts, Phillip Rashid, Asifur Erlinger, Thomas Fakih, Mohamad G Open Forum Infect Dis Abstracts BACKGROUND: Compliance with evidence-based treatment bundles in patients with sepsis can lead to improved survival in persons with sepsis or septic shock. A way to ensure the adoption of best practices is the early use standardized order sets based on suspected source of infection. METHODS: The patient population was built by connecting electronic health record (EHR) to administrative data. In the EHR, we identified patients who had a sepsis discharge diagnosis code based on the International Statistical Classification of Disease and Related Health Problems (ICD−10), from August 1, 2018 to February 28, 2019. We evaluated the empiric use of sepsis order sets and patient outcomes. We adjusted for age, gender, Elixhauser Comorbidity Score (ECS), intensive care unit (ICU) status, and admission type. For the analysis, we included patients age 18 and older from facilities where we were able to match greater than 70 percent of patients. Matching was done by facility on medical record number and discharge date. RESULTS: There were 26,604 patients included in the analysis. The overall mortality rate was 10.67% (n = 2,839). Mortality associated with sepsis in patients that had a sepsis order set used was 8.92% (791/8,872), while for those whom a sepsis order set was not used was 11.55% (2,048/17,732). When mortality data were adjusted for age, gender, ECS, ICU status, admission type and hospital size, the use of sepsis order sets was associated with an adjusted odds ratio of 0.793 (95% CI 0.722, 0.868). In addition, in all sepsis patients who had an ICU admission, the use of the sepsis order sets was associated with an adjusted odds ratio of 0.804 (95% CI 0.725, 0.890). Similarly, in all sepsis patients who did not have an ICU admission, the use of the sepsis order sets was associated with an adjusted odds ratio of 0.688 (95% CI 0.556, 0.847). CONCLUSION: The use of the standardized sepsis order sets in patients with sepsis was associated with a 20.7% relative risk reduction in mortality. In conjunction with rapid recognition of sepsis, early initiation of the sepsis order sets may lead to improved mortality in patients with sepsis. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808650/ http://dx.doi.org/10.1093/ofid/ofz360.1779 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Daragjati, Florian
Sebastian, Danielle
Roberts, Phillip
Rashid, Asifur
Erlinger, Thomas
Fakih, Mohamad G
2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System
title 2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System
title_full 2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System
title_fullStr 2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System
title_full_unstemmed 2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System
title_short 2099. Use of Infectious Diseases Source-Specific Electronic Sepsis Order Sets is associated with Improved Survival in Sepsis: An Evaluation of 46 Hospitals in a Large Health Care System
title_sort 2099. use of infectious diseases source-specific electronic sepsis order sets is associated with improved survival in sepsis: an evaluation of 46 hospitals in a large health care system
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808650/
http://dx.doi.org/10.1093/ofid/ofz360.1779
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