| Title |
Regression equations of Z score and echocardiographic nomograms for coronary sinus in healthy children
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, August 2016
|
| DOI | 10.1007/s10554-016-0960-7 |
| Pubmed ID | |
| Authors |
Guang Song, Jing Liu, Wei Qiao, Yixin Chen, Lu Sun, Weidong Ren, Fangfang Li, Miao Fan |
| Abstract |
As the number of implanted biventricular pacemakers increases, the coronary sinus (CS) has evoked much interest amongst cardiologists. A dilated CS could prompt the existence of many diseases. The normal CS diameter is uncertain, especially in children. A total of 446 Chinese healthy children were prospectively enrolled in this study. The superior and inferior diameter of the CS was measured from the CS ostium 1 cm from the end of ventricular systole in the modified apical 4-chamber view. Seven models were tested to determine the relationships between parameters of body size and CS diameter. Heteroscedasticity was tested by the White and Breusch-Pagan tests. A multiple linear regression model should be gender as a covariate along with BSAStevenson, in order to evaluate the influence of gender on the measurements. The formula of Stevenson was best-fit. The predicted values and Z-score boundaries for measurement of the CS diameter were calculated. Bland-Altman plot regression showed that the 95 % limits of agreement for inter- and intra-observer measurements were not significantly different. We report new, reliable echocardiographic Z scores for the CS diameter derived from a large population of healthy Chinese children. The Z scores can be used in echocardiographic examinations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Computer Science | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 8 | 53% |
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 20 August 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,460
of 2,012 outputs
Outputs of similar age
#314,133
of 354,561 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#28
of 42 outputs
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