Literature DB >> 32182594

Novel instrumental markers of proximal scleroderma provided by imaging photoplethysmography.

Oleg V Mamontov1, Tatiana V Krasnikova, Maxim A Volynsky, Natalia A Anokhina, Evgeny V Shlyakhto, Alexei A Kamshilin.   

Abstract

OBJECTIVE: Instrumental identification of proximal scleroderma, which is necessary for the early diagnosis of systemic sclerosis (SSD), has not yet been developed. The aim of this study was to assess the potential diagnostic value of the imaging photoplethysmography (IPPG) method in patients with SSD. APPROACH: The study enrolled 19 patients with SSD and 21 healthy subjects matched by age and sex with the patients. Spatial distribution of capillary-blood-flow parameters and their dynamics was estimated in the facial area of patients and subjects. In the IPPG system, a 40 s video of the subject's face illuminated by green polarized light was recorded with a monochrome digital camera in synchronization with the electrocardiogram. Experimental data were processed using custom software allowing assessment of an arrival time of the blood pressure wave (PAT), an amplitude of pulsatile component (APC) of the photoplethysmographic (PPG) waveform, and their variability. MAIN
RESULTS: Our study has revealed a significant increase in PAT variability in patients with SSD compared to the control group: 52 ± 47 ms vs 24 ± 13 ms (P =0.01). Similarly, the variability of the PPG-pulse shape was larger in patients with SSD: 0.13 ± 0.07% vs 0.09 ± 0.02% (P < 0.001). In addition, patients with scleroderma showed a significantly greater degree of asymmetry of the APC parameter than the control group: 17.7 ± 9.7 vs 7.9 ± 5.0 (P < 0.001). At the same time, no correlation was found between the PPG waveform parameters and either the form or duration of the disease. Also, no relationship between the characteristics of the PPG waveform and the modified Rodnan skin score was found. SIGNIFICANCE: Novel instrumental markers found in our pilot study showed that the IPPG method can be used for diagnosing SSD in the early stages of the disease.

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Year:  2020        PMID: 32182594     DOI: 10.1088/1361-6579/ab807c

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  2 in total

1.  The Value of High-Resolution Ultrasound Combined with Shear-Wave Elastography under Artificial Intelligence Algorithm in Quantitative Evaluation of Skin Thickness in Localized Scleroderma.

Authors:  Kun Jia; Huiying Li; Xiaojing Wu; Caina Xu; Hongyuan Xue
Journal:  Comput Intell Neurosci       Date:  2022-03-04

2.  Imaging photoplethysmography as an easy-to-use tool for monitoring changes in tissue blood perfusion during abdominal surgery.

Authors:  Alexei A Kamshilin; Valery V Zaytsev; Alexander V Lodygin; Victor A Kashchenko
Journal:  Sci Rep       Date:  2022-01-21       Impact factor: 4.379

  2 in total

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