Cargando…
Development of a risk score model for the prediction of patients needing percutaneous coronary intervention
BACKGROUND: The incidence of coronary heart disease (CHD) is increasing worldwide. The need for percutaneous coronary intervention (PCI) is determined by coronary angiography (CAG). As coronary angiography is an invasive and risky test for patients, it will be of great help to develop a predicting m...
Autores principales: | Wang, Xi, Lin, Yuping, Wang, Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020842/ https://www.ncbi.nlm.nih.gov/pubmed/36808769 http://dx.doi.org/10.1002/jcla.24849 |
Ejemplares similares
-
Development and validation of a clinical risk score to predict mortality after percutaneous coronary intervention
por: Wall, Joshua J S, et al.
Publicado: (2017) -
Clinical risk scores predict procedural complications of primary percutaneous coronary intervention
por: Hadadi, László, et al.
Publicado: (2017) -
Development and Validation of a Risk Nomogram Model for Predicting Revascularization After Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome
por: Xiao, Shengjue, et al.
Publicado: (2021) -
Risk Estimation for Infection in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention: Development and Validation of a Predictive Score
por: Liu, Yuanhui, et al.
Publicado: (2022) -
Model for End-Stage Liver Disease Score Predicts the Mortality of Patients with Coronary Heart Disease Who Underwent Percutaneous Coronary Intervention
por: Chen, You, et al.
Publicado: (2021)