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| Analysis on Influencing Factors of Short-term Outcomes during Hospitalization in Patients with Acute Myocardial Infarction |
| YAO Kai, YU Guixia, ZHENG Xianmei |
| Affiliated Hospital of Chengdu University, Chengdu 610081, China |
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Abstract Objective: To explore the influencing factors for recent outcomes during hospitalization in patients with acute myocardial infarction (AMI). Methods: 295 cases of patients with confirmed AMI from January 2016 to January 2017 were retrospectively analyzed. According to the disease outcomes during hospitalization, the patients were divided into good outcome (healing and improving) group and poor outcome (deterioration and death) group. The data of gender, age and treatment methods were recorded in the two groups, and Logistic regression analysis was performed on the patients' data. Results: Compared with good outcome group, the age, the time from onset to treatment, hospitalization heart rate and Killip classification were significantly increased in poor outcome group (P<0.05), and the proportions of patients combined with hypertension history, diabetes history, history of cardiovascular and cerebrovascular disease, and Killip classification≥grade III, ST-segment elevation myocardial infarction (STEMI) and drug-selective therapy were increased significantly (P<0.05), and the systolic blood pressure and diastolic blood pressure at admission were decreased significantly (P<0.05), and the proportions of patients with non-ST-segment elevation myocardial infarction (NSTEMI) and PCI were significantly decreased (P<0.05). Logistic regression analysis showed that age, time from onset to treatment, history of cardiovascular and cerebrovascular disease, myocardial infarction, Killip classification and PCI were all risk factors for prognosis in AMI patients during hospitalization. Conclusions: Age, time from onset to treatment, history of cardiovascular and cerebrovascular disease and Killip classification are independent risk factors for AMI, and PCI treatment is an independent protective factor for AMI.
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2019, Vol. 25 
