Affiliations: Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan | Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan | Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan | Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
Note: [] Corresponding author: Hsin Hsiu, Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. E-mail: hhsiu@mail.ntust.edu.tw
Abstract: MOTIVATIONS: The present study performed laser-Doppler flowmetry (LDF) measurements on the skin surface around the ankle with the aim of verifying if beat-to-beat analysis of the LDF waveform can help to discriminate the microcirculatory-blood-flow (MBF) characteristics between diabetic, prediabetic, and healthy subjects. METHODS: 84 subjects were assigned to three groups (diabetic, prediabetic, and normal) according to the results of oral glucose tolerance tests. Beat-to-beat analysis was performed on the pulsatile LDF waveform to obtain foot delay time (FDT), flow rise time (FRT), and the corresponding MBF-variability parameters (FDTCV and FRTCV). RESULTS: Relative to the control group, FDT and FRT were significantly shorter in prediabetic subjects, FDT was significantly shorter in diabetic subjects, and FRTCV and FDTCV were significantly larger in prediabetic and diabetic subjects. There were no significant associations for FRT after adjustment for age and gender. CONCLUSION: The present results indicate that FRT may help to discriminate differences in the elastic properties of local vascular beds during diabetes or even during prediabetic stages. The proposed blood-filling-volume model can help to explain the underlying mechanism. The present findings may aid the noninvasive early detection of diabetes-associated vascular damage, and could be used in the development of home-care and telemedicine applications.
