| Title |
2D and 3D Echocardiography-Derived Indices of Left Ventricular Function and Shape Relationship With Mortality
|
|---|---|
| Published in |
JACC: Cardiovascular Imaging, November 2017
|
| DOI | 10.1016/j.jcmg.2017.08.023 |
| Pubmed ID | |
| Authors |
Diego Medvedofsky, Francesco Maffessanti, Lynn Weinert, David M. Tehrani, Akhil Narang, Karima Addetia, Anuj Mediratta, Stephanie A. Besser, Elad Maor, Amit R. Patel, Kirk T. Spencer, Victor Mor-Avi, Roberto M. Lang |
| Abstract |
This study hypothesized that left ventricular (LV) ejection fraction (EF) and global longitudinal strain (GLS) derived from 3-dimensional echocardiographic (3DE) images would better predict mortality than those obtained by 2-dimensional echocardiographic (2DE) measurements, and that 3DE-based LV shape analysis may have added prognostic value. Previous studies have shown that both LVEF and GLS derived from 2DE images predict mortality. Recently, 3DE measurements of these parameters were found to be more accurate and reproducible because of independence of imaging plane and geometric assumptions. Also, 3DE analysis offers an opportunity to accurately quantify LV shape. We retrospectively studied 416 inpatients (60 ± 18 years of age) referred for transthoracic echocardiography between 2006 and 2010, in whom good-quality 2DE and 3DE images were available. Mortality data through 2016 were collected. Both 2DE and 3DE images were analyzed to measure LVEF and GLS. Additionally, 3DE-derived LV endocardial surface information was analyzed to obtain global shape indices (sphericity and conicity) and regional curvature (anterior, septal, inferior, lateral walls). Cardiovascular (CV) mortality risks related to these indices were determined using Cox regression. Of the 416 patients, 208 (50%) died, including 114 (27%) CV-related deaths over a mean follow-up period of 5 ± 3 years. Cox regression revealed that age and body surface area, all 4 LV function indices (2D EF, 3D EF, 2D GLS, 3D GLS), and regional shape indices (septal and inferior wall curvatures) were independently associated with increased risk of CV mortality. GLS was the strongest prognosticator of CV mortality, superior to EF for both 2DE and 3DE analyses, and 2D EF was the weakest among the 4 functional indices. A 1% decrease in GLS magnitude was associated with an 11.3% increase in CV mortality risk. GLS predicts mortality better than EF by both 3DE and 2DE analysis, whereas 3D EF is a better predictor than 2D EF. Also, LV shape indices provide additional risk assessment. |
X Demographics
The data shown below were collected from the profiles of 116 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 16% |
| United Kingdom | 11 | 9% |
| Argentina | 6 | 5% |
| Mexico | 5 | 4% |
| Spain | 4 | 3% |
| Colombia | 3 | 3% |
| Netherlands | 3 | 3% |
| Saudi Arabia | 2 | 2% |
| Italy | 2 | 2% |
| Other | 22 | 19% |
| Unknown | 39 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 79 | 68% |
| Scientists | 18 | 16% |
| Practitioners (doctors, other healthcare professionals) | 17 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Doctoral Student | 7 | 10% |
| Other | 6 | 8% |
| Student > Master | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 23 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 40% |
| Engineering | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 31 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 21 May 2023.
All research outputs
#637,305
of 25,461,852 outputs
Outputs from JACC: Cardiovascular Imaging
#162
of 2,706 outputs
Outputs of similar age
#13,050
of 336,137 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#7
of 64 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done particularly well, scoring higher than 94% of its peers.
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We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.