Observation on Influencing Factors on the Efficacy and Prognosis of Coronary Intervention in Acute Myocardial Infarction
Objective To explore the clinical efficacy and prognostic factors of coronary intervention in patients with acute myocardial infarction,in order to improve patient prognosis.Methods A total of 72 cases of acute myocardial infarction admitted to Gaomi Traditional Chinese Medicine Hospital from January 2022 to June 2023 were selected as the study subjects for coronary intervention treatment.The treatment effect of the patients was observed,and based on their prognosis,the patients were divided into a good prognosis group(n=50)and a poor prognosis group(n=22).Logistic regression analysis was used to identify the risk factors that affect the prognosis of coronary intervention(PCI).Results In the treatment,43 cases(59.72%)showed significant improvement,24 cases(33.34%)were effective,and 5 cases(6.94%)were ineffective,with an effective treatment rate of 93.06%.Coronary intervention therapy was significantly effective in patients with acute myocardial infarction.In univariate analysis,there were significant differences between the good prognosis group and the poor prognosis group in age,hypertension,diabetes,cardiac troponin(cTnI)level,preoperative Killip grade and postoperative thrombolysis in myocardial infarction(TIMI)blood flow grade(P<0.05).In logistic multivariate analysis,age,hypertension,diabetes,cTnI level,preoperative Killip grade and postoperative TIMI blood flow grade were independent risk factors for the prognosis of patients with acute myocardial infarction undergoing coronary intervention(OR=5.174,5.332,5.308,6.571,7.129,8.146,P<0.05).Conclusion In the treatment of patients with acute myocardial infarction,the effect of coronary artery intervention is significant,but the prognosis is affected by age,concomitant diseases(hypertension,diabetes),preoperative Killip grade and postoperative TIMI blood flow grade,and other factors.It is necessary to do a good job of prognosis intervention in accordance with risk factors to improve the prognosis of patients.
万方数据
维普
