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| Correlation analysis of coronary artery stenosis degree and depression mood in patients with coronary heart disease |
| WANG Can1 LUO Qiuhu1 QIN Chunyu1 LI Gaoye2 CHEN Wuxian2 |
1.The First School of Clinical Medicine, Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning 530021, China;
2.Department of Cardiovascular Medicine, the First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning 530021, China |
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Abstract Objective To investigate the correlation between the degree of coronary artery stenosis and depression mood in patients with coronary heart disease. Methods A total of 223 patients with coronary heart disease treated in the First Affiliated Hospital of Guangxi Medical University from April to December 2019 were selected as the research subjects. According to the self-rating depression scale (SDS) score, they were divided into non-depressed group (162 cases, SDS index ＜ 50 points) and depressed group (61 cases, SDS index ≥ 50 points). The depressive group was divided into mild depression group (49 cases, 50 points≤SDS index ＜ 60 points) and moderate and severe depression group (12 cases, SDS index ≥ 60 points). According to the results of coronary angiography, the degree of coronary artery stenosis was evaluated by Gensini score. Multivariate logistic regression was used to analyze the relationship between the degree of coronary artery stenosis and depression. Results The proportion of female, single, type D personality in patients and age, Pittsburgh sleep quality index (PSQI) score, Gensini score, coefficient variation of red blood cell distribution width (RDW-CV) level in the depressed group were higher than those in the non-depressed group, red blood cell count and hemoglobin levels were lower than those in the non-depressed group, with statistically significant differences (all P ＜ 0.05). The levels of body mass index, PSQI score and RDW-CV level in moderate and severe depression group were higher than those in mild depression group, with statistically significant differences (all P ＜ 0.05). Binary logistic regression analysis was conducted with the occurrence of depression as the dependent variable, and the results showed that: single (OR = 5.31, 95%CI [1.54-18.35]), type D personality (OR = 5.67, 95%CI [2.42-13.29]), PSQI score (OR = 1.40, 95%CI [1.24-1.58]), RDW-CV(OR = 2.07, 95%CI [1.30-3.32]) and Gensini score were independent influencing factors for the occurrence of depression (all P < 0.05), in which the risk of depression increased by 13% for every 10 points increase in Gensini score (95%CI: 1.02-1.25, P = 0.019). Ordered multi-classification logistic regression analysis was conducted with nil，mild，moderate to severe depression as dependent variables, and the results showed that: single (OR = 5.07, 95%CI [1.65-15.57]), type D personality (OR = 5.04, 95% CI [2.25-11.31]), PSQI score (OR = 1.46, 95%CI [1.30-1.63]), RDW-CV(OR = 2.55, 95%CI [1.64-3.95]) and Gensini score were independent influencing factors for the occurrence of depression (all P < 0.05), in which the risk of depression increased by 12% for every 10 points increase in Gensini score (95%CI：1.02-1.23，P = 0.020). Conclusion Patients with coronary heart disease with more severe coronary artery lesions are more likely to be accompanied by depression, so mental health assessment should be carried out in time for this part of the population.
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