Abstract

Objective To investigate the relationship between body mass index (BMI) and Gensini score, to assess the predictive value of myocardial infarction. Methods Totally 348 patients with myocardial infarction and 1054 patients with non-myocardial infarction from January 2014 to August 2015.To analyze the difference of BMI and Gensini scores between the two groups. To analyze the relationship between BMI and Gensini scores in each group, and the value of BMI used to predict the risk of myocardial infarction. Results The BMI and Gensini scores of the myocardial infarction group were significantly higher than those of the non-myocardial infarction group. There was a positive correlation between BMI and Gensini score in the MI group (r = 0.304, P = 0.000). The BMI of the non-myocardial infarction group was positively correlated with Gensini's score (r = 0.253, P = 0.000). AUC was 0.647, P = 0.000, 95% CI (0.617, 0.678), the risk of myocardial infarction was measured by ROC analysis. Conclusions The level of BMI in patients with coronary heart disease is associated with Gensini scores. BMI can be used as an effective indicator of myocardial infarction in the patients of coronary heart disease Key words: Body mass index; Gensini score; Coronary heart lesion

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