This study aims to explore the heart failure risk model based on the dynamic data of patients with different outcome nodes after myocardial infarction to correct the heart failure risk of patients timely.
Heart failure (HF) is the most common complication of acute myocardial infarction (AMI), which seriously affects the prognosis and quality of life of patients. After successful revascularization, the risk of heart failure in patients with acute myocardial infarction is closely related to the state of coronary microcirculation, and the risk of heart failure also changes dynamically with the prognosis of patients. However, current heart failure prediction models only include routine baseline variables to assess short-and long-term risk and lack newly explored new risk factors for heart failure-coronary microcirculation function, there are static, single defects. Therefore, this study is intended to be based on patients with acute ST-segment elevation myocardial infarction who had an infarct artery in the anterior descending artery and underwent emergency percutaneous coronary intervention to open the culprit lesion within 12 hours, according to the multi-dimensional data of clinical epidemiology, serology, radiology, and microcirculation resistance index based on coronary angiography during hospitalization and 6 and 12 months after discharge, respectively, to construct a multimodal dynamic predictive model for heart failure risk at 0-24 months, 6-24 months, and 12-24 months after acute myocardial infarction, to explore the heart failure risk model based on the dynamic data of different outcome nodes of patients after myocardial infarction, and to achieve the goal of timely correction of heart failure risk of patients, which is multi-linear, dynamic and practical, to provide a stage-by-stage reference for follow-up.
Study Type
OBSERVATIONAL
Enrollment
567
Demographic data, previous medical history data, physical examination, ECG examination, blood routine, blood biochemistry, the peak value of myocardial injury markers, serum markers of heart failure, high-sensitivity C-reactive protein Coronary angiography, interventional treatment, microcirculation resistance index caIMR calculation based on coronary angiography Doppler echocardiography, medication during hospitalization, NYHA cardiac function grading before discharge, and 6-minute walk test before discharge.
Jian Liu
Beijing, China
RECRUITINGComposite endpoint of death or re-admission due to heart failure or aggravation of heart failure symptoms.
Readmission due to heart failure was defined as admission with a primary diagnosis of heart failure presenting as a new or worsening heart failure symptom or sign accompanied by elevated natriuretic peptide levels or objective evidence of imaging suggestive of pulmonary systemic congestion; He was treated for heart failure during his hospital stay. Heart failure symptoms aggravate refers to aggravate to New York cardiac function class (NYHA) III/IV
Time frame: Within 24 months after discharge
Changes in left ventricular ejection fraction
The difference in left ventricular ejection fraction during follow-up
Time frame: Within 24 months after discharge
The change of BNP/NT-pro-BNP.
The difference in BNP/NT-pro-BNP during follow-up
Time frame: Within 24 months after discharge
Changes in 6-minute walking experiment.
Distance difference of 6-minute walking test during follow-up
Time frame: Within 24 months after discharge
Changes in patients' subjective quality of life score
The difference in quality of life scores during follow-up
Time frame: Within 24 months after discharge
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