| Title |
Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
|
|---|---|
| Published in |
Nature Communications, May 2016
|
| DOI | 10.1038/ncomms11437 |
| Pubmed ID | |
| Authors |
Hermenegild J. Arevalo, Fijoy Vadakkumpadan, Eliseo Guallar, Alexander Jebb, Peter Malamas, Katherine C. Wu, Natalia A. Trayanova |
| Abstract |
Sudden cardiac death (SCD) from arrhythmias is a leading cause of mortality. For patients at high SCD risk, prophylactic insertion of implantable cardioverter defibrillators (ICDs) reduces mortality. Current approaches to identify patients at risk for arrhythmia are, however, of low sensitivity and specificity, which results in a low rate of appropriate ICD therapy. Here, we develop a personalized approach to assess SCD risk in post-infarction patients based on cardiac imaging and computational modelling. We construct personalized three-dimensional computer models of post-infarction hearts from patients' clinical magnetic resonance imaging data and assess the propensity of each model to develop arrhythmia. In a proof-of-concept retrospective study, the virtual heart test significantly outperformed several existing clinical metrics in predicting future arrhythmic events. The robust and non-invasive personalized virtual heart risk assessment may have the potential to prevent SCD and avoid unnecessary ICD implantations. |
X Demographics
The data shown below were collected from the profiles of 77 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 | 25 | 32% |
| United Kingdom | 8 | 10% |
| Spain | 5 | 6% |
| India | 3 | 4% |
| Australia | 2 | 3% |
| Argentina | 2 | 3% |
| Nigeria | 1 | 1% |
| France | 1 | 1% |
| Djibouti | 1 | 1% |
| Other | 10 | 13% |
| Unknown | 19 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 61% |
| Practitioners (doctors, other healthcare professionals) | 16 | 21% |
| Scientists | 11 | 14% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Belgium | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 282 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 24% |
| Researcher | 59 | 20% |
| Student > Bachelor | 26 | 9% |
| Student > Master | 20 | 7% |
| Student > Doctoral Student | 17 | 6% |
| Other | 48 | 16% |
| Unknown | 53 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 67 | 23% |
| Medicine and Dentistry | 49 | 17% |
| Computer Science | 18 | 6% |
| Biochemistry, Genetics and Molecular Biology | 15 | 5% |
| Agricultural and Biological Sciences | 14 | 5% |
| Other | 50 | 17% |
| Unknown | 79 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 461. 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 12 July 2022.
All research outputs
#58,680
of 25,337,969 outputs
Outputs from Nature Communications
#918
of 56,236 outputs
Outputs of similar age
#1,192
of 311,969 outputs
Outputs of similar age from Nature Communications
#17
of 835 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 835 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 98% of its contemporaries.