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Diagnostic Accuracy of CD64 for Sepsis in Emergency Department
INTRODUCTION: Sepsis is a systemic inflammatory response to suspected or confirmed infection. Clinical evaluations are essential for its early detection and treatment. Blood cultures may take as long as 2 days to yield a result and are not always reliable. However, recent studies have suggested that...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987371/ https://www.ncbi.nlm.nih.gov/pubmed/29910563 http://dx.doi.org/10.4103/jgid.jgid_130_16 |
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author | Dal Ponte, Silvana Teixeira Alegretti, Ana Paula Pilger, Diogo André Rezende, Gabriela Petitot Andrioli, Giordanna Ludwig, Helena Cocolichio Diogo, Luciano Goldani, Luciano Zubaran Loreto, Melina Machado, Pauline Simas Seligman, Renato |
author_facet | Dal Ponte, Silvana Teixeira Alegretti, Ana Paula Pilger, Diogo André Rezende, Gabriela Petitot Andrioli, Giordanna Ludwig, Helena Cocolichio Diogo, Luciano Goldani, Luciano Zubaran Loreto, Melina Machado, Pauline Simas Seligman, Renato |
author_sort | Dal Ponte, Silvana Teixeira |
collection | PubMed |
description | INTRODUCTION: Sepsis is a systemic inflammatory response to suspected or confirmed infection. Clinical evaluations are essential for its early detection and treatment. Blood cultures may take as long as 2 days to yield a result and are not always reliable. However, recent studies have suggested that neutrophil CD64 expression may be a sensitive and specific alternative for the diagnosis of systemic infection. OBJECTIVE: The objective of the study was to analyze the difference in CD64 values between subjects with systemic inflammatory response syndrome (SIRS), suspected or confirmed sepsis, who meet diagnostic criteria for SIRS upon arriving at an emergency department. MATERIALS AND METHODS: This was a prospective observational cohort study, an accuracy study of CD64 prospectively evaluated. The sample consisted of 109 patients aged 18 years with criteria for SIRS on arrival to emergency department. CD64 expression was measured within 6 h of hospital admission and once again after 48 h. RESULTS: ROC curve analysis suggested that a cutoff of 1.45 for CD64 expression could diagnose sepsis with a sensitivity of 0.85, a specificity of 0.75, an accuracy of 82.08%, a positive predictive value of 0.96, a negative predictive value of 0.38 and a positive likelihood ratio of 3.33. The area under the curve was 0.83. CONCLUSION: CD64 seems to be a useful, sensitive, and specific biomarker in discriminating between SIRS and sepsis. |
format | Online Article Text |
id | pubmed-5987371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-59873712018-06-15 Diagnostic Accuracy of CD64 for Sepsis in Emergency Department Dal Ponte, Silvana Teixeira Alegretti, Ana Paula Pilger, Diogo André Rezende, Gabriela Petitot Andrioli, Giordanna Ludwig, Helena Cocolichio Diogo, Luciano Goldani, Luciano Zubaran Loreto, Melina Machado, Pauline Simas Seligman, Renato J Glob Infect Dis Original Article INTRODUCTION: Sepsis is a systemic inflammatory response to suspected or confirmed infection. Clinical evaluations are essential for its early detection and treatment. Blood cultures may take as long as 2 days to yield a result and are not always reliable. However, recent studies have suggested that neutrophil CD64 expression may be a sensitive and specific alternative for the diagnosis of systemic infection. OBJECTIVE: The objective of the study was to analyze the difference in CD64 values between subjects with systemic inflammatory response syndrome (SIRS), suspected or confirmed sepsis, who meet diagnostic criteria for SIRS upon arriving at an emergency department. MATERIALS AND METHODS: This was a prospective observational cohort study, an accuracy study of CD64 prospectively evaluated. The sample consisted of 109 patients aged 18 years with criteria for SIRS on arrival to emergency department. CD64 expression was measured within 6 h of hospital admission and once again after 48 h. RESULTS: ROC curve analysis suggested that a cutoff of 1.45 for CD64 expression could diagnose sepsis with a sensitivity of 0.85, a specificity of 0.75, an accuracy of 82.08%, a positive predictive value of 0.96, a negative predictive value of 0.38 and a positive likelihood ratio of 3.33. The area under the curve was 0.83. CONCLUSION: CD64 seems to be a useful, sensitive, and specific biomarker in discriminating between SIRS and sepsis. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC5987371/ /pubmed/29910563 http://dx.doi.org/10.4103/jgid.jgid_130_16 Text en Copyright: © 2018 Journal of Global Infectious Diseases http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Dal Ponte, Silvana Teixeira Alegretti, Ana Paula Pilger, Diogo André Rezende, Gabriela Petitot Andrioli, Giordanna Ludwig, Helena Cocolichio Diogo, Luciano Goldani, Luciano Zubaran Loreto, Melina Machado, Pauline Simas Seligman, Renato Diagnostic Accuracy of CD64 for Sepsis in Emergency Department |
title | Diagnostic Accuracy of CD64 for Sepsis in Emergency Department |
title_full | Diagnostic Accuracy of CD64 for Sepsis in Emergency Department |
title_fullStr | Diagnostic Accuracy of CD64 for Sepsis in Emergency Department |
title_full_unstemmed | Diagnostic Accuracy of CD64 for Sepsis in Emergency Department |
title_short | Diagnostic Accuracy of CD64 for Sepsis in Emergency Department |
title_sort | diagnostic accuracy of cd64 for sepsis in emergency department |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987371/ https://www.ncbi.nlm.nih.gov/pubmed/29910563 http://dx.doi.org/10.4103/jgid.jgid_130_16 |
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