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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Left ventricular long axis strain: a new prognosticator in non-ischemic dilated cardiomyopathy?
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, June 2016
|
| DOI | 10.1186/s12968-016-0255-0 |
| Pubmed ID | |
| Authors |
Johannes H. Riffel, Marius G. P. Keller, Franziska Rost, Nisha Arenja, Florian Andre, Fabian aus dem Siepen, Thomas Fritz, Philipp Ehlermann, Tobias Taeger, Lutz Frankenstein, Benjamin Meder, Hugo A. Katus, Sebastian J. Buss |
| Abstract |
Long axis strain (LAS) has been shown to be a fast assessable parameter representing global left ventricular (LV) longitudinal function in cardiovascular magnetic resonance (CMR). However, the prognostic value of LAS in cardiomyopathies with reduced left ventricular ejection fraction (LVEF) has not been evaluated yet. In 146 subjects with non-ischemic dilated cardiomyopathy (NIDCM, LVEF ≤45 %) LAS was assessed retrospectively from standard non-contrast SSFP cine sequences by measuring the distance between the epicardial border of the left ventricular apex and the midpoint of a line connecting the origins of the mitral valve leaflets in end-systole and end-diastole. The final values were calculated according to the strain formula. The primary endpoint of the study was defined as a combination of cardiac death, heart transplantation or aborted sudden cardiac death and occurred in 24 subjects during follow-up. Patients with LAS values > -5 % showed a significant higher rate of cardiac events independent of the presence of late gadolinium enhancement (LGE). The multivariate Cox regression analysis revealed that LVEDV/BSA (HR: 1.01, p < 0.05), presence of LGE (HR: 2.51, p < 0.05) and LAS (HR: 1.28, p < 0.05) were independent predictors for cardiac events. In a sequential cox regression analysis LAS offered significant incremental information (p < 0.05) for the prediction of outcome in addition to LGE and LVEDV/BSA. Using a dichotomous three point scoring model for risk stratification, including LVEF <35 %, LAS > -10 % and the presence of LGE, patients with 3 points had a significantly higher risk for cardiac events than those with 2 or less points. Assessment of long axis function with LAS offers significant incremental information for the prediction of cardiac events in NIDCM and improves risk stratification beyond established CMR parameters. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| Pakistan | 1 | 5% |
| Chile | 1 | 5% |
| United Kingdom | 1 | 5% |
| Canada | 1 | 5% |
| South Africa | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Cyprus | 1 | 5% |
| Unknown | 10 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 67% |
| Scientists | 4 | 19% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 5 | 7% |
| Other | 4 | 6% |
| Other | 14 | 20% |
| Unknown | 25 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 43% |
| Engineering | 3 | 4% |
| Computer Science | 2 | 3% |
| Psychology | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 27 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 September 2022.
All research outputs
#3,133,037
of 25,806,080 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#168
of 1,388 outputs
Outputs of similar age
#52,099
of 357,041 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#2
of 23 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 357,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.