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The Detection of Wound Infection by Ion Mobility Chemical Analysis

Surgical site infection represents a large burden of care in the National Health Service. Current methods for diagnosis include a subjective clinical assessment and wound swab culture that may take several days to return a result. Both techniques are potentially unreliable and result in delays in us...

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Autores principales: Daulton, Emma, Wicaksono, Alfian, Bechar, Janak, Covington, James A., Hardwicke, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146168/
https://www.ncbi.nlm.nih.gov/pubmed/32121452
http://dx.doi.org/10.3390/bios10030019
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author Daulton, Emma
Wicaksono, Alfian
Bechar, Janak
Covington, James A.
Hardwicke, Joseph
author_facet Daulton, Emma
Wicaksono, Alfian
Bechar, Janak
Covington, James A.
Hardwicke, Joseph
author_sort Daulton, Emma
collection PubMed
description Surgical site infection represents a large burden of care in the National Health Service. Current methods for diagnosis include a subjective clinical assessment and wound swab culture that may take several days to return a result. Both techniques are potentially unreliable and result in delays in using targeted antibiotics. Volatile organic compounds (VOCs) are produced by micro-organisms such as those present in an infected wound. This study describes the use of a device to differentiate VOCs produced by an infected wound vs. colonised wound. Malodourous wound dressings were collected from patients, these were a mix of post-operative wounds and vascular leg ulcers. Wound microbiology swabs were taken and antibiotics commenced as clinically appropriate. A control group of soiled, but not malodorous wound dressings were collected from patients who had a split skin graft (SSG) donor site. The analyser used was a G.A.S. GC-IMS. The results from the samples had a sensitivity of 100% and a specificity of 88%, with a positive predictive value of 90%. An area under the curve (AUC) of 91% demonstrates an excellent ability to discriminate those with an infected wound from those without. VOC detection using GC-IMS has the potential to serve as a diagnostic tool for the differentiation of infected and non-infected wounds and facilitate the treatment of wound infections that is cost effective, non-invasive, acceptable to patients, portable, and reliable.
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spelling pubmed-71461682020-04-15 The Detection of Wound Infection by Ion Mobility Chemical Analysis Daulton, Emma Wicaksono, Alfian Bechar, Janak Covington, James A. Hardwicke, Joseph Biosensors (Basel) Article Surgical site infection represents a large burden of care in the National Health Service. Current methods for diagnosis include a subjective clinical assessment and wound swab culture that may take several days to return a result. Both techniques are potentially unreliable and result in delays in using targeted antibiotics. Volatile organic compounds (VOCs) are produced by micro-organisms such as those present in an infected wound. This study describes the use of a device to differentiate VOCs produced by an infected wound vs. colonised wound. Malodourous wound dressings were collected from patients, these were a mix of post-operative wounds and vascular leg ulcers. Wound microbiology swabs were taken and antibiotics commenced as clinically appropriate. A control group of soiled, but not malodorous wound dressings were collected from patients who had a split skin graft (SSG) donor site. The analyser used was a G.A.S. GC-IMS. The results from the samples had a sensitivity of 100% and a specificity of 88%, with a positive predictive value of 90%. An area under the curve (AUC) of 91% demonstrates an excellent ability to discriminate those with an infected wound from those without. VOC detection using GC-IMS has the potential to serve as a diagnostic tool for the differentiation of infected and non-infected wounds and facilitate the treatment of wound infections that is cost effective, non-invasive, acceptable to patients, portable, and reliable. MDPI 2020-02-29 /pmc/articles/PMC7146168/ /pubmed/32121452 http://dx.doi.org/10.3390/bios10030019 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Daulton, Emma
Wicaksono, Alfian
Bechar, Janak
Covington, James A.
Hardwicke, Joseph
The Detection of Wound Infection by Ion Mobility Chemical Analysis
title The Detection of Wound Infection by Ion Mobility Chemical Analysis
title_full The Detection of Wound Infection by Ion Mobility Chemical Analysis
title_fullStr The Detection of Wound Infection by Ion Mobility Chemical Analysis
title_full_unstemmed The Detection of Wound Infection by Ion Mobility Chemical Analysis
title_short The Detection of Wound Infection by Ion Mobility Chemical Analysis
title_sort detection of wound infection by ion mobility chemical analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146168/
https://www.ncbi.nlm.nih.gov/pubmed/32121452
http://dx.doi.org/10.3390/bios10030019
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