ORIGINAL ARTICLE   

Minerva Cardioangiologica 2020 October;68(5):376-82

DOI: 10.23736/S0026-4725.20.05153-1

Copyright © 2020 EDIZIONI MINERVA MEDICA

language: English

Correlation of heart rate and blood pressure variability as well as hs-CRP with the burden of stable coronary artery disease

Xiong PENG, Dingfeng PENG, Yongjun HU, Hongsheng GANG, Yijun YU, Shaoyong TANG ✉

Department of Cardiology, Wuhan No. 4 Hospital, Wuhan, China

BACKGROUND: The aim is to investigate the predictive value of heart rate variability (HRV), blood pressure variability (BPV), and high-sensitivity C-reactive protein (hs-CRP) levels in patients with stable coronary artery disease (SCAD) to assess whether these variables predict the Gensini score.
METHODS: Five hundred and eighty-eight patients with SCAD were enrolled. Normal coronary angiography (102 patients) and healthy physical examination patients (104 patients) were enrolled as control group for HRV. Dynamic electrocardiogram, ambulatory blood pressure, and hs-CRP were measured in SCHD, and Gensini scores were calculated. The relationship between the level of Gensini scores and HRV, BPV and hs-CRP in SCAD was analyzed. We assessed the predictive value of non-invasive markers for the degree of coronary artery disease in SCAD.
RESULTS: HRV was negatively correlated with coronary lesions Gensini scores, and BPV was positively correlated with them. The correlation coefficients of SDNN, PNN50, SDANN, RMSSD, and TRIA in HRV are -0.327, -0.489, -0.153 -0.206, -0.292, respectively (P<0.01); while 24hSBPV, 24hDBPV, dSBPV, dDBPV, nSBPV and nSBPdrinBPV were 0.286, 0.233, 0.141, 0.139, 0.218, 0.113, respectively (P<0.01). hs-CRP was positively correlated with the Gensini scores of coronary lesions (0.325, P<0.01), HRV decreased (PNN50<14.97, TRIA<160.86) and BPV increased (24hSBPV>20%, nSBPV>20%) combined with hs-CRP positive (hs-CR >3.0 mg/L) performance can effectively predict coronary lesions in SCAD.
CONCLUSIONS: HRV, BPV and hs-CRP are all significantly associated with coronary lesions. And these variables can predict the Gensini score in SCAD.

KEY WORDS: Heart rate; Blood pressure; C-reactive protein; Coronary artery disease