RESUMO
Objective To explore the risk factors of unplanned readmission in patients with acute myocardial infarction in plateau area. Methods The convenience sampling method was used to select 220 patients with acute myocardial infarction in the hospital's internal medicine department from January 2020 to May 2021. The patients were divided into two groups according to whether they had unplanned readmission within one year, 79 patients were included in readmission group, and 141 patients without unplanned readmission were included in non-readmission group. Clinical data of the 220 patients with acute myocardial infarction in plateau area were collected by reviewing electronic medical records, and laboratory examination and angiography examination were performed 1 day before discharge. Univariate and multivariate logistic regression analysis were carried out, and ROC curve risk prediction model was established. Results There were statistically significant differences in age, history of myocardial infarction, history of PCI, history of stroke, blood calcium, and Kilip cardiac function between the two groups (P < 0.05). Logistic regression analysis showed that age ≥60 years old, history of myocardial infarction, history of PCI, history of stroke, blood calcium and Kilip cardiac function grading were positively correlated with unscheduled readmission (P < 0.05). The ROC curve was drawn with the occurrence of unplanned readmission as the state variable. The AUC area was 0.801, the predictive sensitivity was 88.94%, and the specificity was 57.92%. Conclusion Unplanned readmission of AMI patients in plateau areas is related to multiple factors. It is necessary to identify high-risk groups as early as possible in combination with risk factors and develop individualized intervention measures.