| Literature DB >> 33727620 |
Toshifumi Muneyasu1, Harutoyo Hirano2, Akira Furui1, Zu Soh1, Ryuji Nakamura3, Noboru Saeki3, Yoshiyuki Okada4, Masashi Kawamoto5, Masao Yoshizumi6, Atsuo Yoshino7, Takafumi Sasaoka8, Shigeto Yamawaki7,8, Toshio Tsuji9.
Abstract
Muscle sympathetic nerve activity (MSNA) is known as an effective measure to evaluate peripheral sympathetic activity; however, it requires invasive measurement with the microneurography method. In contrast, peripheral arterial stiffness affected by MSNA is a measure that allows non-invasive evaluation of mechanical changes of arterial elasticity. This paper aims to clarify the features of peripheral arterial stiffness to determine whether it inherits MSNA features towards non-invasive evaluation of its activity. To this end, we propose a method to estimate peripheral arterial stiffness [Formula: see text] at a high sampling rate. Power spectral analysis of the estimated [Formula: see text] was then performed on data acquired from 15 patients ([Formula: see text] years) who underwent endoscopic thoracic sympathectomy. We examined whether [Formula: see text] exhibited the features of MSNA where its frequency components synchronise with heart and respiration rates and correlates with the low-frequency component of systolic blood pressure. Regression analysis revealed that the local peak frequency in the range of heartbeat frequency highly correlate with the heart rate ([Formula: see text], [Formula: see text]) where the regression slope was approximately 1 and intercept was approximately 0. Frequency analysis then found spectral peaks of [Formula: see text] approximately 0.2 Hz that correspond to the respiratory cycle. Finally, cross power spectral analysis showed a significant magnitude squared coherence between [Formula: see text] and systolic blood pressure in the frequency band from 0.04 to 0.2 Hz. These results indicate that [Formula: see text] inherits the features observed in MSNA that require invasive measurements, and thus [Formula: see text] can be an effective non-invasive substitution for MSNA measure.Entities:
Mesh:
Year: 2021 PMID: 33727620 PMCID: PMC7966741 DOI: 10.1038/s41598-021-85299-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379