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Is cardiac magnetic resonance necessary for prediction of left ventricular remodeling in patients with reperfused ST-segment elevation myocardial infarction?

Overview of attention for article published in The International Journal of Cardiovascular Imaging, June 2017
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Title
Is cardiac magnetic resonance necessary for prediction of left ventricular remodeling in patients with reperfused ST-segment elevation myocardial infarction?
Published in
The International Journal of Cardiovascular Imaging, June 2017
DOI 10.1007/s10554-017-1206-z
Pubmed ID
Authors

Eun Kyoung Kim, Young Bin Song, Sung-A Chang, Sung-Ji Park, Joo-Yong Hahn, Seung Hyuk Choi, Jin-Ho Choi, Hyeon-Cheol Gwon, Seung-Woo Park, Yeon Hyeon Choe, Joonghyun Ahn, Keumhee Carriere, Sang-Chol Lee

Abstract

As cardiac magnetic resonance imaging (CMR) has become widely used for evaluation of myocardial viability after acute myocardial infarction, the additional value of CMR parameters for prediction of left ventricle (LV) remodeling has been receiving interest. The aim of the study was to investigate the additional predictive value of CMR parameters for LV remodeling after successful reperfusion of ST-segment elevation myocardial infarction (STEMI) using multiple predictive models. LV remodeling was defined as ≥20% increase in end-diastolic volume at 6 month follow-up echocardiography. Using multiple stepwise regression analysis, conventional risk model was classified as following; model 1 (clinical factors), model 2 (model 1 + angiographic factors), model 3 (model 2 + echocardiographic factors) and CMR-added model; model 4 (model 3 + CMR factors). Among 262 enrolled patients, 25.1% showed LV remodeling. There were significant increments of c-statistics from the predictive model 1 to model 3 (AUC; 0.675 [0.60-0.75], 0.708 [0.64-0.78], 0.756 [0.69-0.82], respectively. all p < 0.05). However, model 4, which added the CMR variables, did not show any increase in predictive value compared with model 3 (AUC; 0.763 [0.70-0.83] versus 0.756 [0.69-0.82], p = 0.11). During the 28.2 months of median follow up, the incidence of hospitalization for heart failure was significantly higher in the patients with LV remodeling (6.1% vs. 0.5%, p = 0.02). CMR parameters did not provide incremental predictive value above the assessment by conventional echocardiography-based risk model in patients with STEMI.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Bachelor 3 18%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 3 18%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 7 41%
Computer Science 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Nursing and Health Professions 1 6%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 July 2017.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from The International Journal of Cardiovascular Imaging
#582
of 2,012 outputs
Outputs of similar age
#166,955
of 328,389 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#10
of 59 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,012 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 69% 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 328,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.