Journal of Capital Medical University ›› 2021, Vol. 42 ›› Issue (4): 642-646.doi: 10.3969/j.issn.1006-7795.2021.04.021

• Clinical Research • Previous Articles     Next Articles

Predictive factors for the formation of a well-developed coronary collateral circulation in patients with unstable angina pectoris

Liu Jinchun1, Zheng Xiuhua1, Li Ning2, Zhang Ruixia1, Zhang Haizhu3*   

  1. 1. Staff Room of Internal Medicine, Department of Nursing, Henan Vocational College of Nursing, Anyang 455000, Henan Province, China;
    2. Department of Rehabilitation Medicine, The Affiliated Hospital of Henan Academy of Chinese Medicine, Zhengzhou 455003, China;
    3. Heart Center, Anyang People Hospital, Anyang 455000, Henan Province, China
  • Received:2021-03-16 Online:2021-08-21 Published:2021-07-29
  • Contact: * E-mail:zhz33850@126.com
  • Supported by:
    Henan Science and Technology Research Project (201602369).

Abstract: Objective To investigate the predictive values of factors associated with the development of the coronary collateral circulation (CCC) in patients with unstable angina pectoris. Methods We evaluated 207 consecutive patients who had unstable angina pectoris and were performed coronary angiography. General information and clinical data were recorded. Patients were divided into two groups according to whether their angiographic CCC was well or poorly developed, according to Rentrop's classification. The differences of the above factors between the two groups were compared, and the predictive values of the factors with significant differences were tested by univariate and multivariate Logistic regression analysis. Results There were significant differences in the factors including diabetes history, time of disease history, TIMI grade, multiple diseased coronary vessels and coronary calcification between the two groups (P<0.05). Univariate and multivariate Logistic regression analysis were used to test their predictive values for good CCC. Significant factors at the level of P≤0.10 in the univariate logistic regression analysis were included in the multiple Logistic regression model, showing that TIMI grade of culprit vessel ≤2 and coronary calcification were independently predictive factors for good CCC. Conclusion TIMI grade of culprit vessel≤2 and coronary calcification were independently associated with the development of the CCC.

Key words: coronary artery disease, collateral circulation, unstable angina pectoris, coronary calcification

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