Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.

Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.