日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Relationship and prognostic value of the triglyceride-glucose index and optical coherence tomography-derived physiological index in patients with acute coronary syndrome

甘油三酯-葡萄糖指数与光学相干断层扫描衍生生理指数在急性冠脉综合征患者中的关系及预后价值

Pan, Li; Lu, Shiwan; Xia, Qianhang; Deng, Yi; Wu, Junlin; Luo, Shitao; Deng, Chancui; Gu, Ning; Yang, Shuangya; Zhou, Guangtao; Fu, Xiaoling; Zhao, Ranzun; Wang, Zhenglong; Zhao, Yongchao; Shi, Bei

Threshold effect of systemic immune-response index on in-stent neoatherosclerosis among patients with drug-eluting stent restenosis

系统性免疫反应指数对药物洗脱支架再狭窄患者支架内新生动脉粥样硬化的阈值效应

Yang, Shuangya; Xia, Qianhang; Gu, Ning; Shen, Changyin; Deng, Chancui; Wang, Xi; Deng, Yi; Hu, Xingwei; Zhu, Jingjing; Zhao, Ranzun; Shi, Bei

Identification of platelet function-related genes in STEMI patients.

鉴定STEMI患者血小板功能相关基因

Zhu Jingjing, Yang Shuangya, Guo Qing, Yang Yifan, Shi Bei

Machine Learning-Based Immuno-Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture

基于机器学习的免疫炎症指数整合临床特征预测冠状动脉斑块破裂

Wang, Xi; Xia, Qianhang; Yang, Shuangya; Deng, Chancui; Gu, Ning; Shen, Youcheng; Wang, Zhenglong; Shi, Bei; Zhao, Ranzun

In vivo Predictors of Focal Type In-Stent Restenosis: A Clinical, Angiographical, and Optical Coherence Tomography Study

支架内局灶性再狭窄的体内预测因子:一项临床、血管造影和光学相干断层扫描研究

Xu, Guanxue; Shen, Youcheng; Liu, Changpei; Liu, Zhijiang; Zhang, Wei; Rong, Jidong; Gu, Ning; Shen, Changyin; Chen, Panke; Deng, Chancui; Wang, Xi; Yang, Shuangya; Xia, Qianhang; Xu, Guanxue; Shi, Bei

Systemic immune inflammation index is associated with in-stent neoatherosclerosis and plaque vulnerability: An optical coherence tomography study

系统性免疫炎症指数与支架内新生动脉粥样硬化和斑块易损性相关:一项光学相干断层扫描研究

Sheng, Jin; Yang, Shuangya; Gu, Ning; Deng, Chancui; Shen, Youcheng; Xia, Qianhang; Zhao, Yongchao; Wang, Xi; Deng, Yi; Zhao, Ranzun; Shi, Bei

Machine Learning Constructed Based on Patient Plaque and Clinical Features for Predicting Stent Malapposition: A Retrospective Study

基于患者斑块和临床特征构建的机器学习模型预测支架贴壁不良:一项回顾性研究

Xia, Qianhang; Deng, Chancui; Yang, Shuangya; Gu, Ning; Shen, Youcheng; Shi, Bei; Zhao, Ranzun