News Release

Progress in the study of the left atrial function index in cardiovascular disease

Peer-Reviewed Publication

Compuscript Ltd

In a new publication from Cardiovascular Innovations and Applications; DOI https://doi.org/10.15212/CVIA.2021.0002, Pei Huang, Yi Zhang, Yi Tang, Qinghua Fu, Zhaofen Zheng, Xiaoyan Yang, Yingli Yu from The First Affiliated Hospital of Hunan Normal University) Chang Sha, China and Tianjin University of Traditional Chinese Medicine, Tianjin, China consider the study of the left atrial function index in cardiovascular disease.

Some studies have shown that left ventricular structure and function play an important role in the risk stratification and prognosis of cardiovascular disease. The clinical application of left atrial function in cardiovascular disease has gradually attracted attention in the cardiovascular field.

There are many traditional methods to evaluate left atrial function. Left atrial function related indexes measured by echocardiography has been identified as a powerful predictor of cardiovascular disease in recent years, but they have some limitations. The left atrial function index has been found to evaluate left atrial function more effectively than traditional parameters. Furthermore, it is a valuable predictor of the risk stratification and prognosis in patients with clinical cardiovascular disease such as heart failure, atrial fibrillation, hypertension, and coronary heart disease.

###

Citation information: Progress in the Study of the Left Atrial Function Index in Cardiovascular Disease: A Literature Review, Pei Huang, Yi Zhang, Yi Tang, Qinghua Fu, Zhaofen Zheng, Xiaoyan Yang, Yingli Yu, Cardiovasc. Innov. App., 2021,
https://doi.org/10.15212/CVIA.2021.0002

Keywords: Left atrial function index; Left atrial function; Cardiovascular disease

CVIA is available on the IngentaConnect platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. CVIA is indexed in the EMBASE, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ and Index Copernicus Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.