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112. Physiological Signature of Bloodstream Infection in Critically Ill Patients
BACKGROUND: Bloodstream infection (BSI) is associated with high mortality rates in critically ill patients but is difficult to identify clinically. This uncertainty results in frequent blood culture testing, which exposes patients to additional costs and the potential harms of unnecessary antibiotic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809796/ http://dx.doi.org/10.1093/ofid/ofz360.187 |
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author | Zimmet, Alex Clark, Matthew Gadrey, Shrirang M Bell, Taison Randall Moorman, J Moore, Christopher |
author_facet | Zimmet, Alex Clark, Matthew Gadrey, Shrirang M Bell, Taison Randall Moorman, J Moore, Christopher |
author_sort | Zimmet, Alex |
collection | PubMed |
description | BACKGROUND: Bloodstream infection (BSI) is associated with high mortality rates in critically ill patients but is difficult to identify clinically. This uncertainty results in frequent blood culture testing, which exposes patients to additional costs and the potential harms of unnecessary antibiotics. Accordingly, we aimed to identify signatures in physiological data from critically ill adults that characterize BSI. METHODS: We reviewed all blood culture, vital sign, laboratory, and cardiorespiratory monitoring (CRM) data from patients admitted to the medical and surgical/trauma ICUs at the University of Virginia Medical Center from February 2011 to June 2015. Blood culture results were categorized as positive, negative, or contaminant. For the BSI population, we included data obtained within 12 hours before or 24 hours after the acquisition of a positive blood culture. The control population included data greater than 12 hours before or 24 hours after the acquisition of a positive blood culture, and all data from patients without BSI. We used multivariable logistic regression to identify the physiological characteristics of BSI. RESULTS: We analyzed 9,955 ICU admissions with 144 patient-years of vital sign and CRM data (1.3M hourly measurements). The average age was 59 years; the population was mostly Caucasian (81%) and male (56%). There were 5,671 (57%) admissions with ≥1 blood culture, and 744 (7%) had a BSI. The in-hospital mortality rate for patients with BSI was 28% vs. 12% for all others. The physiological signature of BSI was characterized by abnormalities in 12 parameters (Figure 1)—e.g., BSI was more likely in patients with a higher pulse and lower platelets. Several associations were nonlinear—e.g., temperature and WBC had U-shaped relationships with BSI. The internally validated C-statistic was 0.77. CONCLUSION: Statistical modeling revealed a clinically sensible physiological signature of BSI that could assist with bedside decisions regarding the utility of blood culture testing in critically ill adults. [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6809796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68097962019-10-28 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients Zimmet, Alex Clark, Matthew Gadrey, Shrirang M Bell, Taison Randall Moorman, J Moore, Christopher Open Forum Infect Dis Abstracts BACKGROUND: Bloodstream infection (BSI) is associated with high mortality rates in critically ill patients but is difficult to identify clinically. This uncertainty results in frequent blood culture testing, which exposes patients to additional costs and the potential harms of unnecessary antibiotics. Accordingly, we aimed to identify signatures in physiological data from critically ill adults that characterize BSI. METHODS: We reviewed all blood culture, vital sign, laboratory, and cardiorespiratory monitoring (CRM) data from patients admitted to the medical and surgical/trauma ICUs at the University of Virginia Medical Center from February 2011 to June 2015. Blood culture results were categorized as positive, negative, or contaminant. For the BSI population, we included data obtained within 12 hours before or 24 hours after the acquisition of a positive blood culture. The control population included data greater than 12 hours before or 24 hours after the acquisition of a positive blood culture, and all data from patients without BSI. We used multivariable logistic regression to identify the physiological characteristics of BSI. RESULTS: We analyzed 9,955 ICU admissions with 144 patient-years of vital sign and CRM data (1.3M hourly measurements). The average age was 59 years; the population was mostly Caucasian (81%) and male (56%). There were 5,671 (57%) admissions with ≥1 blood culture, and 744 (7%) had a BSI. The in-hospital mortality rate for patients with BSI was 28% vs. 12% for all others. The physiological signature of BSI was characterized by abnormalities in 12 parameters (Figure 1)—e.g., BSI was more likely in patients with a higher pulse and lower platelets. Several associations were nonlinear—e.g., temperature and WBC had U-shaped relationships with BSI. The internally validated C-statistic was 0.77. CONCLUSION: Statistical modeling revealed a clinically sensible physiological signature of BSI that could assist with bedside decisions regarding the utility of blood culture testing in critically ill adults. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809796/ http://dx.doi.org/10.1093/ofid/ofz360.187 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 Zimmet, Alex Clark, Matthew Gadrey, Shrirang M Bell, Taison Randall Moorman, J Moore, Christopher 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients |
title | 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients |
title_full | 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients |
title_fullStr | 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients |
title_full_unstemmed | 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients |
title_short | 112. Physiological Signature of Bloodstream Infection in Critically Ill Patients |
title_sort | 112. physiological signature of bloodstream infection in critically ill patients |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809796/ http://dx.doi.org/10.1093/ofid/ofz360.187 |
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