Results 151 to 160 of about 226,068 (349)

Association of systemic inflammatory response index with ST segment elevation myocardial infarction and degree of coronary stenosis: a cross-sectional study [PDF]

Jiongchao Guo, Yating Huang, La-mei Pang, Zhou Yuan, Jing-Jing Yuan, Bingfeng Zhou, Minmin Fu   +6 more
openalex   +1 more source

The Prognostic Value of the Coronary Calcium Score for Detecting Significant Coronary Artery Stenosis Based on CT Coronary Angiography in Patients with Coronary Artery Disease

Український журнал серцево-судинної хірургії
Coronary artery disease (CAD) is a leading cause of mortality and disability worldwide. CT coronary angiography is a fast and non-invasive method for diagnosing coronary artery pathology.
Mykhailo S. Ishchenko, Olha R. Romaniuk
doaj  

Relationship between TyG index and the degree of coronary artery lesions in patients with H-type hypertension

Cardiovascular Diabetology
Background The TyG index, a prominent metric for assessing insulin resistance, has gained traction as a prognostic tool for cardiovascular disease. Nevertheless, the understanding of the prognostic significance of the extent of coronary artery stenosis ...
Zhengwen Xu, Peixian Chen, Lian Wang, Jie Yan, Xisheng Yan, Dongsheng Li   +5 more
doaj   +1 more source

Evaluation of Coronary Artery Diffuse Calcification Stenosis by CorrectedCoronary Opacification Difference

, 2023
Fangjie Shen, Jingfeng Huang, Qianjiang Ding, Quanliang Mao, Xinzhong Ruan, Yuning Pan   +5 more
openalex   +1 more source

Validity of the coronary calcium volume in the diagnosis of the significant coronary stenosis.

Revista Cubana de Cardiología y Cirugía Cardiovascular, 2011
The presence of calcium in coronary arteries confirms the presence of atherosclerosis.To determine the validity of coronary calcium(Ca) total volume by the Callister´s method in the diagnosis of significant coronary stenosis.A descriptive transversal ...
Sandra M. Pérez Ruiz, Vladimir Mendoza Rodríguez, Luis R. Llerena Rojas, Fausto Fabián Crespo, Eddy W. Olivares Aquiles   +4 more
doaj  

Acute Myocardial Infarction Due to Coronary Artery Embolism in a 22-Year-Old Woman with Mitral Stenosis with Atrial Fibrillation Under Warfarinization: Successful Management with Anticoagulation

, 2017
Santosh Kumar Sinha, Mukesh Jitendra Jha, Mahmadula Razi, Vikash Chaturvedi, Yatish Besthenahalli Erappa, Shravan Singh, Vikas Mishra, Dibbendhu Khanra, Karandeep Singh   +8 more
openalex   +1 more source

Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis [PDF]

, 2021
Mohammad Farajtabar, Mohit Biglarian, Morteza Miansari   +2 more
openalex   +1 more source

Construction and Validation of a Preoperative Surgical Difficulty Prediction and Risk Stratification System for Posterior Spinal Deformity Correction Surgery Based on Machine Learning ‐ Multicenter Cohort Study

iMetaMed, EarlyView.
A web calculator, trained on multicenter data with seven Boruta‐selected preoperative features, predicts prolonged operative time for posterior spinal deformity correction to enable individualized planning and optimized operating‐room resources. ABSTRACT Operative duration reflects surgical complexity and is valuable for perioperative planning.
Chan Xu, Jialiang Zheng, Chengliang Yin, Runmin Li, Xubin Quan, Binghao Chen, Zhaohui Hu, Tongqing Luo, Hao Jiang, Xuewen Hou, Qizhong Xu, Weiheng He, Liang Chen, Anfa Chen, Xin Zhou, Wei Huang, Sen Gao, Jiali Yu, Zhi‐Ri Tang, Yusi Zhang, Kai Wang, Shi‐Nan Wu, Wencai Liu, Xiangdong Xi, Haizhen Ding, Qiang Liu, Haopeng Luan, Wenle Li   +27 more
wiley   +1 more source

Harmonizing the paradigm with the data in stable coronary artery disease: A review and viewpoint [PDF]

, 2017
Brown, David L, Mitchell, Joshua D
core   +2 more sources

Metabolic Signatures and Diagnostic Prediction Models for Coronary Artery Disease and Type 2 Diabetes Mellitus: Insights From an Exploratory Study

iNew Medicine, EarlyView.
Metabolomic & lipidomic analysis reveals metabolic overlap between CAD & T2DM, highlighting 7 key metabolites as potential biomarkers. A predictive model based on these achieves high accuracy, potentially advancing precision medicine & metabolic insights.
Zhihua Wang, Meiming Su, Ying Li, Yapei Li, Shuo Chen, Ting Peng, Hans Strijdom, Jiangang Wang, Jianping Weng, Suowen Xu   +9 more
wiley   +1 more source