Assessment of left ventricular function in patients with diabetic nephropathy using two-dimensional speckle-tracking echocardiography

利用二维斑点追踪超声心动图评估糖尿病肾病患者的左心室功能

阅读:2

Abstract

OBJECTIVE: To assess cardiac function using two-dimensional speckle-tracking echocardiography (2D-STI) in diabetic nephropathy (DN) patients and investigate the relationship between albuminuria and early cardiac systolic and diastolic dysfunction, along with associated risk factors based on clinical indicators. METHODS: A total of 75 patients with DN, 100 patients with diabetes mellitus (DM), and 37 healthy controls were recruited. Clinical data were collected, and conventional echocardiography as well as 2D-STI were performed on all participants. RESULTS: 2D-STI findings revealed a significant increased occurrence rate of subclinical left ventricular systolic dysfunction [global longitudinal strain values (GLS) <18%], among diabetic patients compared to healthy controls. Furthermore, the proportion of GLS<18% occurrence was higher in the DN group compared to the DM group (p<0.001) and especially higher in the massive albuminuria group than that in the microalbuminuria group (p<0.001). The results demonstrated that albuminuria, eGFR<60 ml/min/1.73 m(2), and total cholesterol were identified as significant risk factors for the development of subclinical left ventricular systolic insufficiency in diabetic patients. However, when considering only patients with DN and adjusting for covariates, it was found that only total cholesterol remained statistically significant (p< 0.05). CONCLUSION: The higher cholesterol levels in patients with DN are associated with a greater risk of subclinical left ventricular systolic dysfunction reflected by a decrease in GLS assayed with 2D-STI. CRITICAL RELEVANCE STATEMENT: GLS measured by 2D-STI combined with clinical indexes to evaluate and predict subclinical left ventricular systolic function in patients with DM, providing reference for early prevention and treatment of cardiac dysfunction in patients with DN.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。