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High Skin Sympathetic Nerve Activity in Patients with Recurrent Syncope

(1) Background: The autonomic imbalance plays a role in vasovagal syncope (VVS) diagnosed by head-up tilting test (HUT). neuECG is a new method of recording skin electrical signals to simultaneously analyze skin sympathetic nerve activity (SKNA) and electrocardiogram. We hypothesize that SKNA is hig...

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Detalles Bibliográficos
Autores principales: Huang, Tien-Chi, Chi, Nai-Yu, Lan, Chih-Sung, Chen, Chang-Jen, Jhuo, Shih-Jie, Lin, Tsung-Han, Liu, Yi-Hsueh, Chou, Li-Fang, Chang, Chien-Wei, Liao, Wei-Sheng, Kao, Pei-Heng, Hsu, Po-Chao, Lee, Chee-Siong, Lin, Yi-Hsiung, Lee, Hsiang-Chun, Lu, Ye-Hsu, Yen, Hsueh-Wei, Lin, Tsung-Hsien, Su, Ho-Ming, Lai, Wen-Ter, Tsai, Wei-Chung, Lin, Shien-Fong, Lee, Chien-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620794/
https://www.ncbi.nlm.nih.gov/pubmed/34834405
http://dx.doi.org/10.3390/jpm11111053
Descripción
Sumario:(1) Background: The autonomic imbalance plays a role in vasovagal syncope (VVS) diagnosed by head-up tilting test (HUT). neuECG is a new method of recording skin electrical signals to simultaneously analyze skin sympathetic nerve activity (SKNA) and electrocardiogram. We hypothesize that SKNA is higher in subjects with tilt-positive than tilt-negative and the SKNA surges before syncope. (2) Methods: We recorded neuECG in 41 subjects who received HUT (according to the “Italian protocol”), including rest, tilt-up, provocation and recovery phases. Data were analyzed to determine the average SKNA (aSKNA, μV) per digitized sample. Electrocardiogram was used to calculate standard deviation of normal-to-normal beat intervals (SDNN). The “SKNA-SDNN index” was calculated by rest aSKNA multiplied by the ratio of tilt-up to rest SDNN. (3) Results: 16 of 41 (39%) subjects developed syncope. The aSKNA at rest phase is significantly higher in the tilt-positive (1.21 ± 0.27 µV) than tilt-negative subjects (1.02 ± 0.29 µV) (p = 0.034). There are significant surges and withdraw of aSKNA 30 s before and after syncope (both p ≤ 0.006). SKNA-SDNN index is able to predict syncope (p < 0.001). (4) Conclusion: Higher SKNA at rest phase is associated with positive HUT. The SKNA-SDNN index is a novel marker to predict syncope during HUT.