Comparison of GC-MS, HPLC-MS and SIFT-MS in conjunction with multivariate classification for the diagnosis of Crohn's disease in urine

Research output: Contribution to journalArticle

Authors

  • M. Cauchi
  • D. P. Fowler
  • C. Walton
  • C. Turner
  • D. B. Ramsden
  • J. O. Hunter
  • P. Teale
  • C. Bessant

Colleges, School and Institutes

External organisations

  • Cranfield University
  • The Department of Life, Health and Chemical Sciences, Open University, Milton Keynes
  • Gastroenterology Research Unit, Addenbrooke's Hospital, Box 262, Cambridge CB2 0QQ
  • LGC Ltd, Newmarket Rd, Fordham
  • School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS

Abstract

The developed world has seen an alarming increase in the incidence of gastrointestinal diseases, among the most common of which is Crohn's disease (CD) in the young. The current “gold standard” techniques for diagnosis are often costly, time consuming, inefficient, invasive, and offer poor sensitivities and specificities. This paper compares the performances of three hyphenated instrumental techniques that have been suggested as rapid methods for the non-invasive diagnosis of CD from urine. These techniques are gas chromatography-mass spectrometry (GC-MS), high performance liquid chromatography-mass spectrometry (HPLC-MS) and selected ion flow tube mass spectrometry (SIFT-MS). Each of these techniques is followed by multivariate classification to provide a diagnosis based on the acquired data. The most promising results for potentially diagnosing CD was via HPLC-MS. An overall classification accuracy of 73% (74% specificity; 73% sensitivity) was achieved for differentiating CD from healthy controls, statistically significant at 95% confidence.

Details

Original languageEnglish
Pages (from-to)8379-8385
JournalAnalytical Methods
Volume7
Issue number19
Early online date1 Sep 2015
Publication statusPublished - 7 Oct 2015