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Identification of acute myocardial infarction in patients with atrial fibrillation and chest pain with a contemporary sensitive troponin I assay

Overview of attention for article published in BMC Medicine, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 news outlet
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2 X users
reddit
1 Redditor

Citations

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17 Dimensions

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45 Mendeley
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Title
Identification of acute myocardial infarction in patients with atrial fibrillation and chest pain with a contemporary sensitive troponin I assay
Published in
BMC Medicine, July 2015
DOI 10.1186/s12916-015-0410-8
Pubmed ID
Authors

Christoph Liebetrau, Michael Weber, Stergios Tzikas, Lars Palapies, Helge Möllmann, Gerhard Pioro, Tanja Zeller, Andres Beiras-Fernandez, Christoph Bickel, Andreas M. Zeiher, Karl J. Lackner, Stephan Baldus, Holger M. Nef, Stefan Blankenberg, Christian W. Hamm, Thomas Münzel, Till Keller

Abstract

The introduction of modern troponin assays has facilitated diagnosis of acute myocardial infarction due to improved sensitivity with corresponding loss of specificity. Atrial fibrillation (AF) is associated with elevated levels of troponin. The aim of the present study was to evaluate the diagnostic performance of troponin I in patients with suspected acute coronary syndrome and chronic AF. Contemporary sensitive troponin I was assayed in a derivation cohort of 90 patients with suspected acute coronary syndrome and chronic AF to establish diagnostic cut-offs. These thresholds were validated in an independent cohort of 314 patients with suspected myocardial infarction and AF upon presentation. Additionally, changes in troponin I concentration within 3 hours were used. In the derivation cohort, optimized thresholds with respect to a rule-out strategy with high sensitivity and a rule-in strategy with high specificity were established. In the validation cohort, application of the rule-out cut-off led to a negative predictive value of 97 %. The rule-in cut-off was associated with a positive predictive value of 88 % compared with 71 % if using the 99th percentile cut-off. In patients with troponin I levels above the specificity-optimized threshold, additional use of the 3-hour change in absolute/relative concentration resulted in a further improved positive predictive value of 96 %/100 %. Troponin I concentration and the 3-hour change in its concentration provide valid diagnostic information in patients with suspected myocardial infarction and chronic AF. With regard to AF-associated elevation of troponin levels, application of diagnostic cut-offs other than the 99th percentile might be beneficial.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 8 18%
Other 6 13%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 11 24%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 27 60%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Environmental Science 1 2%
Arts and Humanities 1 2%
Other 4 9%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 October 2015.
All research outputs
#2,941,264
of 22,818,766 outputs
Outputs from BMC Medicine
#1,752
of 3,427 outputs
Outputs of similar age
#39,435
of 262,972 outputs
Outputs of similar age from BMC Medicine
#43
of 73 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 262,972 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 84% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.