Aim To investigate the relationship between conventional inflammatory markers and acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The case-control study method was used to select the inpatients from August 2017 to February 2018 in China-Japan Friendship Hospital, among them, 99 patients with stable angina pectoris (SAP) were (60.4±10.4) years old, 96 patients with AMI aged (61.9±14.6) years old. 60 healthy people were collected as control group, aged (58.2±9.5) years old. Inflammatory markers were detected by automatic blood cell analyzer and biochemical analyzer, Logistic regression analysis was used to examine the correlation between inflammatory markers and AMI in patients with coronary heart disease, the prediction efficiency of each index was analyzed by ROC curve. Results Fasting blood glucose, total cholesterol (TC), low density lipoprotein cholesterol (LDLC), white blood cell count (WBC), neutrophil count (NEUT), high sensitivity C-reactive protein (hs-CRP) and homocysteine (Hcy) in AMI group were significantly higher than those in SAP group, while superoxide dismutase (SOD) was significantly lower than that in SAP group (P＜0.05). Logistic regression showed that serum SOD was negatively correlated with AMI (OR＝0.2,5%CI:0.932～0.973, P＜0.001), but WBC, NEUT and Hcy were positively correlated with AMI (OR＝1.1,5%CI:1.510～2.393, P＜0.001; OR＝2.9,5%CI:1.580～2.684, P＜0.001; OR＝1.1,5%CI:1.010～1.073, P＝0.008). ROC curve analysis showed that the area under curve (AUC) of AMI predicted by combined predictors was 0.836(95%CI:0.780～0.891, P＜0.001), and the AUC in patients with normal TC and LDLC was 0.852(95%CI:0.789～0.914, P＜0.001). Conclusions Increased levels of WBC, NEUT, Hcy and decreased level of serum SOD are risk factors for AMI. Establishment of combined predictors by conventional inflammatory markers is significant for the prediction of AMI in patients with coronary heart disease.