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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7146168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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