Literature DB >> 22837281

Left ventricular radial systolic dysfunction in diabetic patients assessed by myocardial acceleration derived from velocity vector imaging.

Haibin Zhang1, Yun Zhang, Zhiguo Li, Chengguo Liu, Rui Hou, Suyang Zhu, Na Ma, Liping Zhou, Ying Liu.   

Abstract

OBJECTIVES: The purpose of this study was to determine whether left ventricular (LV) radial systolic dysfunction occurred in diabetic patients with a normal left ventricular ejection fraction (LVEF) and impaired longitudinal contraction.
METHODS: Velocity vector imaging was performed in 22 patients with type 2 diabetes without microangiopathy (12 men and 10 women; mean age ± SD, 49 ± 7 years), 21 patients with microangiopathy (12 men and 9 women; mean age, 50 ± 6 years), and 21 healthy control participants (11 men and 10 women; mean age, 49 ± 8 years). The groups were matched for age and sex. All had no clinical symptoms of heart disease, coronary artery disease, or hypertension.
RESULTS: The LVEF, fractional shortening, and end-diastolic diameter were statistically comparable in all groups. The left ventricular wall thickness was significantly greater in diabetic patients than controls (P < .05). Average peak early diastolic accelerations at all LV levels were significantly lower in diabetic patients than controls in the long-and short-axis directions (all P < .05). In the long-axis direction, a significantly lower average peak isovolumic contraction acceleration was found at the mid and apical levels in patients without microangiopathy and at all LV levels in patients with microangiopathy than controls (all P < .05). In the short-axis direction, a significantly lower average isovolumic contraction acceleration was found at the apical level in patients without microangiopathy and at the basal and apical levels in patients with microangiopathy (all P < .05).
CONCLUSIONS: In diabetic patients with a normal LVEF, myocardial systolic dysfunction occurs not only in the long-axis direction but also in the short-axis direction.

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Mesh:

Year:  2012        PMID: 22837281     DOI: 10.7863/jum.2012.31.8.1179

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  4 in total

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3.  Predictors and prevention of diabetic cardiomyopathy.

Authors:  Vishalakshi Chavali; Suresh C Tyagi; Paras K Mishra
Journal:  Diabetes Metab Syndr Obes       Date:  2013-04-11       Impact factor: 3.168

4.  Using basic fibroblast growth factor nanoliposome combined with ultrasound-introduced technology to early intervene the diabetic cardiomyopathy.

Authors:  Ying-Zheng Zhao; Ming Zhang; Xin-Qiao Tian; Lei Zheng; Cui-Tao Lu
Journal:  Int J Nanomedicine       Date:  2016-02-18
  4 in total

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