Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: A pilot study

New point of care diagnostics are urgently needed to reduce the over-prescription of antimicrobials for bacterial respiratory tract infection (RTI). We performed a pilot cross sectional study to assess the feasibility of gas-capillary column ion mobility spectrometer (GC-IMS), for the analysis of vo...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2017-12, Vol.12 (12), p.e0188879-e0188879
Main Authors: Lewis, Joseph M, Savage, Richard S, Beeching, Nicholas J, Beadsworth, Mike B J, Feasey, Nicholas, Covington, James A
Format: Article
Language:English
Subjects:
Aged
Ambulatory care
Analysis
Antibiotics
Antimicrobial agents
Bacteria
Bacterial infections
Bacterial Infections - diagnosis
Bacterial Infections - microbiology
Biology and Life Sciences
Biomarkers
Chronic obstructive pulmonary disease
Clinical trials
Cystic fibrosis
Diagnosis
Diagnostic systems
Electronic Nose
Electronic noses
Feasibility studies
Female
Health aspects
Hospitals
Humans
Infections
Infectious diseases
Inflammatory bowel disease
Ionic mobility
Male
Medical diagnosis
Medicine
Medicine and Health Sciences
Metabolomics
Middle Aged
Mortality
Organic compounds
Patients
Physical Sciences
Pilot Projects
Pneumonia
Primary care
Principal components analysis
Regression analysis
Respiratory tract
Respiratory tract diseases
Respiratory tract infection
Respiratory tract infections
Respiratory Tract Infections - diagnosis
Respiratory Tract Infections - microbiology
Risk factors
ROC Curve
Systematic review
VOCs
Volatile organic compounds
Volatile Organic Compounds - analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:New point of care diagnostics are urgently needed to reduce the over-prescription of antimicrobials for bacterial respiratory tract infection (RTI). We performed a pilot cross sectional study to assess the feasibility of gas-capillary column ion mobility spectrometer (GC-IMS), for the analysis of volatile organic compounds (VOC) in exhaled breath to diagnose bacterial RTI in hospital inpatients. 71 patients were prospectively recruited from the Acute Medical Unit of the Royal Liverpool University Hospital between March and May 2016 and classified as confirmed or probable bacterial or viral RTI on the basis of microbiologic, biochemical and radiologic testing. Breath samples were collected at the patient's bedside directly into the electronic nose device, which recorded a VOC spectrum for each sample. Sparse principal component analysis and sparse logistic regression were used to develop a diagnostic model to classify VOC spectra as being caused by bacterial or non-bacterial RTI. Summary area under the receiver operator characteristic curve was 0.73 (95% CI 0.61-0.86), summary sensitivity and specificity were 62% (95% CI 41-80%) and 80% (95% CI 64-91%) respectively (p = 0.00147). GC-IMS analysis of exhaled VOC for the diagnosis of bacterial RTI shows promise in this pilot study and further trials are warranted to assess this technique.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0188879