Journal
VIBRATIONAL SPECTROSCOPY
Volume 28, Issue 1, Pages 117-129Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0924-2031(01)00151-5
Keywords
mid-infrared spectroscopy; disease pattern recognition; x(2) test; Kolmogorov-Smirnov test; Pearson's correlation coefficient; Spearman's rank order correlation; Kendall's tau; re-sampling; bootstrap; discriminant analysis
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We observed differences between the mid-infrared spectra of sera originating form healthy volunteers and from patients with diabetes mellitus or rheumatoid arthritis (RA). These differences were found to be significant within particular regions of the spectrum both in terms of the chi(2) test as well as the Kolmogorov-Smirnov significance level. Comparing the samples drawn from diabetes patients and samples from healthy volunteers. the significant contributions are located around 1026 cm(-1), where there is a known glucose absorption peak. In a subsequent evaluation we investigated the correlation between the outcome of a discriminatory classification approach, namely disease pattern recognition (DPR), and the glucose signature in the infrared spectrum. Although the correlation analysis is indicative for a correlation between the DPR-score and the glucose concentration, the metabolite concentration alone does not suffice for the complete correlation of the DPR-score with the actual state of health, i.e. healthy or diabetic. In the case of RA the DPR-scores of independent validation samples correlate better with the state of health than the rheumatoid factor (RF) alone. (C) 2002 Elsevier Science B.V. All rights reserved.
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