Cargando…
A LASSO-derived developing and validating risk model for chronic total occlusion in Asian population before coronary angiography
BACKGROUND: Despite several previous studies that have explored the predictors of high morbidity in coronary artery disease (CAD) and developed nomograms for CAD patients prior to coronary angiography (CAG), there is a lack of models available to predict chronic total occlusion (CTO). The aim of thi...
Autores principales: | Shi, Yuchen, Zheng, Ze, Wang, Ping, Wu, Yongxin, Cheng, Zichao, Jian, Wen, Liu, Yanci, Liu, Jinghua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315427/ https://www.ncbi.nlm.nih.gov/pubmed/37405014 http://dx.doi.org/10.21037/cdt-22-466 |
Ejemplares similares
-
Leveraging Machine Learning Techniques to Forecast Chronic Total Occlusion before Coronary Angiography
por: Shi, Yuchen, et al.
Publicado: (2022) -
Machine learning-based analysis of risk factors for chronic total occlusion in an Asian population
por: Shi, Yuchen, et al.
Publicado: (2023) -
Predictive value of the atherogenic index of plasma for chronic total occlusion before coronary angiography
por: Liu, Tong, et al.
Publicado: (2021) -
Development and validation of a predicted nomogram for mortality of COVID-19: a multicenter retrospective cohort study of 4,711 cases in multiethnic
por: Shi, Yuchen, et al.
Publicado: (2023) -
The predictive value of the triglyceride—glucose index for cardiovascular events in patients with coronary chronic total occlusion
por: Li, Yingkai, et al.
Publicado: (2022)