High Skin Sympathetic Nerve Activity in Patients with Recurrent Syncope
| Autor: | Yi-Hsiung Lin, Nai-Yu Chi, Tsung-Hsien Lin, Hsiang-Chun Lee, Tien-Chi Huang, Chang-Jen Chen, Wen-Ter Lai, Pei-Heng Kao, Yi-Hsueh Liu, Shih-Jie Jhuo, Ho-Ming Su, Chien-Wei Chang, Li-Fang Chou, Wei-Chung Tsai, Po-Chao Hsu, Tsung-Han Lin, Chih-Sung Lan, Shien-Fong Lin, Chee-Siong Lee, Ye-Hsu Lu, Hsueh-Wei Yen, Wei-Sheng Liao, Chien-Hung Lee |
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| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
biology business.industry Provocation test Sympathetic nerve activity Syncope (genus) heart rate variability Medicine (miscellaneous) medicine.disease biology.organism_classification Article vasovagal syncope Internal medicine skin sympathetic nerve activity Autonomic imbalance medicine Cardiology head-up tilting test Heart rate variability Medicine In patient business Vasovagal syncope Beat (music) |
| Zdroj: | Journal of Personalized Medicine Journal of Personalized Medicine, Vol 11, Iss 1053, p 1053 (2021) Volume 11 Issue 11 |
| ISSN: | 2075-4426 |
| Popis: | (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. |
| Databáze: | OpenAIRE |
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