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| Correlation Analysis between 24-hour Ambulatory Blood Pressure Parameters and the Degree of Coronary Artery Disease |
| XIANG Yi, OU Bai-qing, XIAO Zhi-lin |
| Renmin Hospital of Hunan Province, Changsha, 410005, China |
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Abstract 【Objective】 To explore the correlation between 24-hour ambulatory blood pressure and severity of coronary artery disease.【Methods】 From January 2018 to December 2018, 265 patients with coronary angiography in the Department of Geriatric Cardiology of Xiangya Hospital were selected as the research objects. All patients were monitored 24 hours of ambulatory blood pressure before coronary angiography (CAG) operation, and relevant parameters were recorded. The severity of coronary stenosis was expressed by Gensini score. According to the results of CAG, the patients were divided into coronary heart disease group (169 cases) and non coronary heart disease group (96 cases), and the differences of ambulatory blood pressure parameters between the two groups were compared; finally, according to the severity of coronary artery disease (Gensini score), patients in coronary heart disease group were divided into mild disease group, moderate disease group and severe disease group, and the differences of dynamic blood pressure parameters in different Gensini integral groups were compared.【Results】 There was no significant difference in age, weight, blood sugar, blood lipid, liver and kidney function between the two groups (P>0.05). Pearson correlation analysis showed that only the coefficient of variation of blood pressure was significantly correlated with Gensini score (r=0.179,P=0.029). In different Gensini integral groups, only the coefficient of variation of blood pressure had significant difference, and with the increase of Gensini integral, the higher the coefficient of variation of blood pressure was.【Conclusion】 Blood pressure variability is closely related to the severity of coronary lesions. In patients with coronary heart disease, the coefficient of blood pressure variability can be used as a predictor of the severity of coronary lesions.
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Received: 29 April 2020
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2020, Vol. 37 
