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Low Accuracy of the HeartMate Risk Score for Predicting Mortality Using the INTERMACS Registry Data

Overview of attention for article published in ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs, May 2017
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 policy source
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1 X user
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1 Facebook page

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28 Mendeley
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Article details
Title
Low Accuracy of the HeartMate Risk Score for Predicting Mortality Using the INTERMACS Registry Data
Published in
ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs, May 2017
DOI 10.1097/mat.0000000000000494
Pubmed ID
Authors
Abstract

Patient selection is a key determinant of clinical outcomes after LVAD placement in patients with end stage heart failure. The HMRS has been proposed to facilitate risk stratification and patient selection for continuous flow pumps. This study retrospectively assessed the performance of HMRS in predicting 90-day and 1-year mortality in patients within the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS). 11,523 INTERMACS patients who received a continuous flow LVAD between 2010 and 2015 were retrospectively categorized per their calculated HMRS to predict their 90-day and 1-year risk of mortality. The performance of the score was evaluated by the area under curve (AUC) of the receiver operator characteristic. We also performed multiple regression analysis using variables from the HMRS calculation on the INTERMACS data. The HMRS model showed moderate discrimination for both 90-day and 1-year mortality prediction with AUCs of 61% and 59%, respectively. The predictions had similar accuracy irrespective of whether the pump was axial or centrifugal flow. Multivariable analysis using independent variables used in the original HMRS analysis revealed different set of variables to be predictive of 90-day mortality than those used to calculate HMRS. HMRS predicts both 90-day and 1-year mortality with poor discrimination when applied to a large cohort of LVAD patients. Newer risk prediction models are therefore needed to optimize the therapeutic application of LVAD therapy.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 18%
Researcher 5 18%
Student > Postgraduate 4 14%
Student > Ph. D. Student 3 11%
Other 2 7%
Other 3 11%
Unknown 6 21%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 36%
Engineering 3 11%
Decision Sciences 2 7%
Environmental Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 11%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 September 2018.
All research outputs
#11,242,644
of 34,400,738 outputs
Outputs from ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs
#1,350
of 3,547 outputs
Outputs of similar age
#128,730
of 355,918 outputs
Outputs of similar age from ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs
#13
of 26 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,547 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 61% 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 355,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.