Objective: To explore the relationship between past history of stroke and clinical features of heart attack and NYHA (New York Heart Association, American Society of Cardiology) cardiac function grading in patients with coronary heart disease. Method: This study included a total of 2327 coronary heart disease patients who were hospitalized at Jiangsu Provincial People's Hospital and Wuxi Second People's Hospital from February 2019 to September 2021. The clinical manifestations and general information of coronary heart disease were collected. According to the clinical characteristics of coronary heart disease patients, they are divided into angina group and myocardial infarction group; The NYHA functional classification is divided into groups of less than three levels, and groups of three levels and above. Use multiple logistic regression analysis to evaluate the relationship between stroke history, clinical characteristics of coronary heart disease patients, and NYHA functional classification. Perform statistical analysis on the data using SPSS 20.0, with P<0.05 indicating statistical significance. Result: In this study, there were 2327 patients with coronary heart disease, including 280 patients with a history of stroke and 2047 patients without a history of stroke. In the general characteristics of patients, age, systolic blood pressure, TC, TG, LDL, HDL, CRP, diabetes, hypertension and renal insufficiency history were significantly different among patients with or without past stroke history (P<0.05). The results of a multivariate logistic regression analysis adjusted for important covariates such as age, gender, and BMI showed that a history of stroke was independently correlated with NYHA functional classification in patients with coronary heart disease (OR=1.85, 95% CI=1.14-3.01, P=0.013).The correlation between stroke history and NYHA functional classification in coronary heart disease patients was further confirmed in subgroup analysis. Conclusion: Past history of stroke is closely associated with cardiac function classification in patients with coronary heart disease, which may have a potential suggestive role for cardiac function classification in patients with coronary heart disease.