Objective To identify predictors of cardiogenic pain and to provide reference for triage. Methods A total of 1 514 patients with acute nontraumatic chest pain were recruited: 476 with cardiogenic pain and 1 038 with noncardiogenic pain. Sociodemographic data, related diseases, MEWS score, pain score and SpO2 value were collected and analyzed using univariate analysis, Logistic regression and ROC curve analysis. Results There were significant differences between the two groups in gender, age, nationality, presence of hypertension/diabetes/coronary heart disease, MEWS score, pain score, and SpO2 value（P<0.05, P<0.01）. Logistic regression analysis showed that except nationality and presence of diabetes, the above 7 indicators were risk factors of cardiogenic pain （OR=1.015-1.810, P<0.05,P<0.01）. The ROC curve indicated the cutoff values of age, MEWS score, pain and SpO2 to predict cardiogenic pain were 48.50, 2.50, 2.50, and 0.88, respectively. Conclusion Nursing staff should assess patients with acute chest pain by considering their age, MEWS score, pain score and SpO2 value, thus to identify whether they have a risk of cardiogenic pain and to avoid the probability of missed diagnosis.