Construction and validation of a predictive model for major adverse cardiovascular events in the long term after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction.
Yangyang YangXiaoyan YinYuanzhuo ZhangLei RenPublished in: Coronary artery disease (2024)
A prediction model constructed from a total of five predictor variables, namely hypertension, diabetes, left main + three branches lesions, eGFR and medication adherence, can be used to assess the long-term prognosis after PCI in STEMI patients and help in early risk stratification of patients.
Keyphrases
- percutaneous coronary intervention
- st segment elevation myocardial infarction
- coronary artery disease
- cardiovascular events
- end stage renal disease
- acute myocardial infarction
- ejection fraction
- acute coronary syndrome
- st elevation myocardial infarction
- newly diagnosed
- cardiovascular disease
- antiplatelet therapy
- peritoneal dialysis
- type diabetes
- coronary artery bypass grafting
- small cell lung cancer
- prognostic factors
- emergency department
- blood pressure
- atrial fibrillation
- metabolic syndrome
- left ventricular
- skeletal muscle
- coronary artery bypass
- adverse drug
- clinical evaluation