Objective To investigate the influencing factors of heart failure in elderly patients with acute coronary syndrome(ACS)after percutaneous coronary intervention(PCI),and to provide a reference for formulating preventive intervention measures in early clinical stage and reducing the risk of heart failure in elderly patients with ACS after PCI.Methods A total of 350 elderly ACS patients admitted to Nanyang Central Hospital from January 2019 to January 2023 who underwent PCI were selected.They were divided into no-heart failure group and heart failure group according to whether heart failure occurred after 6 months of PCI.The clinical data were collected and compared between no-heart failure group and heart failure group.Binary Logistic regression was used to analyze the influencing factors of heart failure in elderly ACS patients after PCI.Results After 6 months of PCI,73 cases occurred heart failure in 350 elderly patients with ACS,the incidence of heart failure was 20.86％.There were differences in age,cardiac function grade,degree of coronary stenosis,number of coronary lesions,complicated arrhythmia,serum N-terminal pro brain natriuretic peptide(NT-proBNP),D-dimer(D-D),serum uric acid(SUA)level and ultrasound index left ventricular ejection fraction(LVEF)between the heart failure group and the non-heart failure group(P＜0.05).Binary logistic regression analysis showed that older age,heart function grade≥Ⅲ,severe coronary stenosis,number of coronary multi-vessel lesions,complicated arrhythmia,higher serum levels of NT-proBNP,D-D,SUA,and decreased LVEF were independent risk factors of heart failure in elderly ACS patients after PCI.Conclusion Preventive intervention measures should be developed according to the above risk factors of heart failure in elderly patients with ACS after PCI,so as to reduce the risk of heart failure and improve the prognosis of elderly patients with ACS.
关键词
老年人/急性冠脉综合征/经皮冠状动脉介入治疗/心力衰竭/影响因素
Key words
the aged/acute coronary syndrome/percutaneous coronary intervention/heart failure/influencing factor
维普
万方数据