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American College of Cardiology

Myocardial Strain in Prediction of Outcomes After Surgery for Severe Mitral Regurgitation

Overview of attention for article published in JACC: Cardiovascular Imaging, May 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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64 X users

Citations

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Title
Myocardial Strain in Prediction of Outcomes After Surgery for Severe Mitral Regurgitation
Published in
JACC: Cardiovascular Imaging, May 2018
DOI 10.1016/j.jcmg.2018.03.016
Pubmed ID
Authors

Hyue Mee Kim, Goo-Yeong Cho, In-Chang Hwang, Hong-Mi Choi, Jun-Bean Park, Yeonyee E. Yoon, Hyung-Kwan Kim

Abstract

We investigated whether global longitudinal strain (GLS) is a better predictor of clinical events after surgery for mitral regurgitation (MR) than conventional parameters. The optimal timing for surgery is guided by left ventricular (LV) dimension or left ventricular ejection fraction (LVEF), even though normal LVEF can mask depressed LV systolic function in severe mitral MR. From 2006 to 2016, 506 patients (age 58.5 ± 13.7 years, 54.3% male) with severe primary MR who underwent mitral valve surgery were included. We measured GLS and global circumferential strain. Cardiac events included admission for worsening heart failure (HF), reoperation for failure of MV surgery, and cardiac death. During a median follow-up period of 3.5 years, 56 (11.1%) patients died, 41 (8.1%) were hospitalized for HF, and 10 (2.0%) underwent reoperation. In univariate analysis, LVEF, atrial fibrillation, left atrial dimension, age, previous ischemia, concomitant coronary artery bypass graft, and both GLS and global circumferential strain were predictive of cardiac events. On multivariate Cox models, age (hazard ratio [HR]:1.429, 95% confidence interval [CI]: 1.116 to 1.831; p = 0.005), left atrial dimension (HR: 1.034, 95% CI: 1.006 to 1.063; p = 0.019) and GLS (HR: 1.229, 95% CI: 1.135 to 1.331; p < 0.001) were independent predictors of cardiac events. In subgroup analysis, LV GLS was a significant predictor of cardiac outcome, regardless of the presence of LV dysfunction, the presence of atrial fibrillation, and the type of surgery. Impaired GLS was associated with all-cause mortality (HR: 1.068, 95% CI: 1.003 to 1.136; p = 0.040). GLS appears to be a better predictor of cardiac events all-cause death than conventional parameters. Measuring preoperative GLS is helpful to predict post-operative outcome and determine optimal timing for surgery in patients with severe primary MR.

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 17%
Researcher 17 15%
Student > Bachelor 9 8%
Student > Doctoral Student 8 7%
Other 8 7%
Other 23 21%
Unknown 27 24%
Readers by discipline Count As %
Medicine and Dentistry 57 51%
Nursing and Health Professions 4 4%
Engineering 3 3%
Agricultural and Biological Sciences 2 2%
Computer Science 2 2%
Other 8 7%
Unknown 35 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 11 May 2019.
All research outputs
#1,041,694
of 25,382,440 outputs
Outputs from JACC: Cardiovascular Imaging
#314
of 2,700 outputs
Outputs of similar age
#22,769
of 342,098 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#14
of 59 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,700 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 well, scoring higher than 88% 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 342,098 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
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 76% of its contemporaries.