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Utility, feasibility, and socio-demographic considerations in the diagnosis of bacterial RTI's by GC-IMS breath analysis.
Stewart, Trenton K; Brodrick, Emma; Reed, Matthew J; Collins, Andrea M; Daulton, Emma; Adams, Emily; Feasey, Nicholas; Ratcliffe, Libbe; Exley, Diane; Todd, Stacy; van Ginneken, Nadja; Sahota, Amandip; Devereux, Graham; Williams, E M; Covington, James A.
Affiliation
  • Stewart TK; Warwick Medical School, University of Warwick, Coventry, UK.
  • Brodrick E; School of Engineering, University of Warwick, Coventry, UK.
  • Reed MJ; IMSPEX Diagnostics Ltd., Wales, UK.
  • Collins AM; Emergency Medicine Research Group Edinburgh (EMERGE), Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Daulton E; Acute Care Edinburgh, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Adams E; Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
  • Feasey N; Liverpool University Hospitals NHS Trust, Liverpool, UK.
  • Ratcliffe L; NIHR CRN Northwest Coast, Liverpool, UK.
  • Exley D; School of Engineering, University of Warwick, Coventry, UK.
  • Todd S; Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
  • van Ginneken N; Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
  • Sahota A; Liverpool University Hospitals NHS Trust, Liverpool, UK.
  • Devereux G; Brownlow Health, Liverpool, UK.
  • Williams EM; Liverpool University Hospitals NHS Trust, Liverpool, UK.
  • Covington JA; Brownlow Health, Liverpool, UK.
iScience ; 27(9): 110610, 2024 Sep 20.
Article in En | MEDLINE | ID: mdl-39262786
ABSTRACT
Diagnosis of respiratory tract infections (RTIs), especially in primary care, is typically made on clinical features and in the absence of quick and reliable diagnostic tests. Even in secondary care, where diagnostic microbiology facilities are available, these tests take 24-48 h to provide an indication of the etiology. This multicentre study used a portable gas chromatography-ion mobility spectrometer (GC-IMS) for the diagnosis of bacterial RTIs. Breath samples taken from 570 participants with 149 clinically validated bacterial and 421 non-bacterial RTIs were analyzed to distinguish bacterial from non-bacterial RTIs. Through the integration of a sparse logistic regression model, we identified a moderate diagnostic accuracy of 0.73 (95% CI 0 · 69, 0 · 77) alongside a sensitivity of 0 · 85 (95% CI 0 · 79, 0 · 91) and a specificity of 0 · 55 (95% CI 0 · 50, 0 · 60). The GC-IMS diagnostic device provides a promising outlook in distinguishing bacterial from non-bacterial RTIs and was also favorably viewed by participants.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2024 Document type: Article Affiliation country: Country of publication: