Visible and near-infrared spectra collected from the thumbs of patients with chronic fatigue syndrome for diagnosis

• Published in: Clinica chimica acta Vol. 413; no. 19-20; pp. 1629 - 1632
• Main Authors: Sakudo, Akikazu, Kuratsune, Hirohiko, Kato, Yukiko Hakariya, Ikuta, Kazuyoshi
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 09.10.2012
• Subjects: Adult; Asian Continental Ancestry Group; Automatic Data Processing; Case-Control Studies; Chemometrics; Chronic fatigue syndrome; Fatigue Syndrome, Chronic - diagnosis; Female; Humans; Light; Male; Middle Aged; Predictive Value of Tests; Principal Component Analysis; Soft independent modeling of class analogy; Spectroscopy, Near-Infrared - instrumentation; Spectroscopy, Near-Infrared - methods; Spectrum Analysis - instrumentation; Spectrum Analysis - methods; Thumb - physiology; Thumb - physiopathology; Visible and near-infrared spectroscopy; Soft independent modeling of class analogy; Visible and near-infrared spectroscopy; Chronic fatigue syndrome; Chemometrics
• ISSN: 0009-8981; 1873-3492; 1873-3492
• DOI: 10.1016/j.cca.2012.05.004

Currently, diagnosis of chronic fatigue syndrome (CFS) is based on clinical symptoms and therefore relies on the experience and skill of the doctors. Here, we have examined the possible diagnosis of CFS based on spectral information and chemometrics analysis, such as principal component analysis (PCA) and soft modeling of class analogy (SIMCA). Visible and near-infrared (Vis-NIR) spectroscopy was used to examine possible changes in the region of 600–1100nm in thumbs and assessed. The Vis-NIR spectra of thumbs from 57 CFS patients and 74 healthy volunteers were subjected to PCA and SIMCA to develop multivariate models to discriminate between CFS patients and healthy individuals. The model was further assessed by the prediction of 120 determinations (60 in the healthy group and 60 in the CFS patient group). The PCA model predicted a discrimination of the masked samples; specifically the SIMCA model correctly predicted 51 of 60 (83.3%) healthy volunteers and 42 of 60 (70%) CFS patients. Despite the relatively small number of subjects involved in this trial, who were exclusively Japanese, our results imply that Vis-NIR spectroscopy of the thumb combined with chemometrics analysis may provide a valuable tool for diagnosing CFS. ► Vis-NIR spectra of the thumb combined with chemometrics analysis achieves separation of CFS patients from healthy volunteers. ► Vis-NIR spectroscopy represents a useful tool for the diagnosis of CFS. ► Non-invasive approach to diagnosis of CFS has been shown using Vis-NIR spectroscopy.