To explore the rapid identification of patients with acute atypical myocardial infarction in order to avoid the best time to delay treatment.

From June 1, 2012-December 31, 2015, clinical data of 354 patients with newly diagnosed acute myocardial infarction (AMI) in our hospital were retrospectively analyzed, the patient′s history, clinical symptoms, electrocardiogram, lifestyle and other data were statistically analyzed. Patient age, the first diagnosis time, the factors such as age, first diagnosis time, physician′s professional degree, infarct site, combined with other diseases and other factors misdiagnosis rate were analyzed using card single factor analysis, on this basis, LOGistC multivariate regression analysis was performed on five factors that might affect the diagnostic accuracy.

Of the 354 patients, 39 were misdiagnosed by atypical symptoms, and the misdiagnosis rate was 11.02%; According to the results of single factor and multivariate analysis, age, combined with other diseases, physician level, the first visit time and the occurrence of myocardial infarction were significantly affected by the diagnostic accuracy, the difference were statistically significant (P<0.05).

Atypical acute myocardial infarction in patients with early clinical symptoms is diverse, the diagnosis should be base on the mastery of comprehensive information, including understanding of patients with history, clinical symptoms, ECG performance, line myocardial enzyme examination, in order to carry out emergency treatment as soon as possible, so as to reduce the infarct size and myocardial damage, thereby enhancing the efficacy and improve the prognosis of patients.