Novel Insights Into the Interaction Between the Autonomic Nervous System and Inflammation on Coronary Physiology: A Quantitative Flow Ratio Study

Wei Liu, Lilei Yu, Jun Wang, Shoupeng Duan, Zhongyang Yu, Hong Jiang, Huaqiang Chen, Zhihao Liu, Ji Sun, Chengzhe Liu, Meng Wang, Hu Chen, Huixin Zhou, Song Zhang, Qiang Deng
2021-07-27

SCID:  54.1/zsbdhn6x
Background: Heart rate variability (HRV) was proposed as a noninvasive biomarker to stratify the risk of cardiovascular disease. However, it remains to be determined if HRV can be used as a surrogate for coronary artery physiology as analyzed by quantitative flow ratio (QFR) in patients with new-onset unstable angina pectoris (UAP). Methods: A total of 129 consecutive patients with new-onset UAP who underwent 24-h long-range 12-channel electrocardiography from June 2020 to December 2020 were included in this study. HRV, coronary angiography, and QFR information was retrieved from patient medical records, the severity of coronary lesions was evaluated using the Gensini score (GS), and total atherosclerotic burden was assessed using the three-vessel contrast QFR (3V-cQFR) calculated as the sum of cQFR in three vessels. Results: Multivariate logistic analysis showed that low-frequency power (LF) and high-sensitivity C-reactive protein (hs-CRP) were directly correlated with functional ischemia of target vessel, which were inversely correlated with total atherosclerotic burden as assessed by 3V-cQFR. Moreover, incorporation of the increase in LF into the existing model that uses clinical risk factors, GS, and hs-CRP significantly increased the discriminatory ability for evaluating coronary artery physiology of target vessel. Conclusions: LF and hs-CRP are independently associated with functional ischemia in patients with new-onset UAP. The relative increase of LF and hs-CRP could add value to the use of classical cardiovascular risk factors to predict the functional severity of coronary artery stenosis. Our results suggest a potential association between the autonomic nervous system, inflammation, and coronary artery physiology.
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2021-07-27
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Wei Liu
Lilei Yu
Jun Wang
Shoupeng Duan
Zhongyang Yu
Hong Jiang
Huaqiang Chen
Zhihao Liu
Ji Sun
Chengzhe Liu
Meng Wang
Hu Chen
Huixin Zhou
Song Zhang
Qiang Deng
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