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Quantitative evaluation of longitudinal strain in layer-specific myocardium during normal pregnancy in China

Overview of attention for article published in Cardiovascular Ultrasound, November 2016
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Title
Quantitative evaluation of longitudinal strain in layer-specific myocardium during normal pregnancy in China
Published in
Cardiovascular Ultrasound, November 2016
DOI 10.1186/s12947-016-0089-9
Pubmed ID
Authors

Juan Cong, Juan Cong, Zhibin Wang, Hong Jin, Wugang Wang, Kun Gong, Yuanyuan Meng, Yong Lee

Abstract

The myocardial wall of the left ventricle is a complex, multilayered structure and is not homogenous. The aim of this study was to determine longitudinal strain (LS) in the three myocardial layers in normal pregnant women according to gestation proceedings. The advanced two-dimensional speckle tracking echocardiography (2D STE) was performed on 62 women during each pregnancy trimester and 6 to 9 weeks after delivery, while 30 age-matched, healthy, nonpregnant women served as controls. LS on endocardial, mid-myocardial and epicardial layers at 18 cardiac segments were measured. As gestation proceeded, all of layer-specific LS and global LS progressively decreased, which subsequently recovered postpartum (P < 0.05), and the LS gradient between inner and outer myocardium became greater, which reached its maximum in the late pregnancy. Peak systolic LS was the highest at endocardium and the lowest at epicardium, while the highest at the apical level and the lowest at the base (P < 0.05). In the early pregnancy and postpartum, LS at basal level was homogenous, meanwhile layer-specific LS showed significant differences at mid-ventricular and apical level throughout the progress of normal pregnancy (P < 0.05). Using 2D STE, three-layer assessment of LS can be performed in pregnant women and shall give us new insights into the quantitative analysis of global and regional LV function during pregnancy. Future studies on the detection of pregnancy related heart disease would require these parameters as reference values for each time point of a normal pregnancy.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Doctoral Student 3 16%
Student > Master 2 11%
Researcher 2 11%
Student > Bachelor 2 11%
Other 1 5%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 10 53%
Computer Science 2 11%
Social Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 3 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2016.
All research outputs
#6,573,845
of 8,629,768 outputs
Outputs from Cardiovascular Ultrasound
#172
of 209 outputs
Outputs of similar age
#167,195
of 240,761 outputs
Outputs of similar age from Cardiovascular Ultrasound
#4
of 5 outputs
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So far Altmetric has tracked 209 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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