↓ Skip to main content

External Validation of the Manchester Acute Coronary Syndromes Decision Rule

Overview of attention for article published in Academic Emergency Medicine, January 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
External Validation of the Manchester Acute Coronary Syndromes Decision Rule
Published in
Academic Emergency Medicine, January 2016
DOI 10.1111/acem.12860
Pubmed ID
Authors
Abstract

The Manchester Acute Coronary Syndromes (MACS) decision rule has been shown to be a powerful diagnostic tool in emergency department (ED) patients with suspected acute coronary syndromes (ACS). It has the potential to improve system efficiency by identifying patients suitable for discharge after a single blood draw for high-sensitivity troponin and heart-type fatty acid-binding protein (h-FABP) analysis at presentation to the ED. The objective was to externally validate the MACS decision rule and establish its diagnostic accuracy as a discharge tool in a new set of prospectively recruited ED patients. In this preplanned analysis of a prospectively recruited single-center cohort, consecutive ED patients ≥18 years with suspected ACS were included. Testing for h-FABP and high-sensitivity troponin T was undertaken on serum drawn on arrival, and any clinical features required to calculate the MACS rule were recorded. The primary outcome was major adverse cardiac events (MACE) within 30 days (acute myocardial infarction [AMI], death, or revascularization). The secondary outcome was AMI alone, adjudicated using 6-hour troponin results. Of the 782 participants included, 78 (10.0%) developed MACE and 61 (7.8%) had an AMI. Of participants, 133 (17.0%) were identified as "very low risk" and therefore suitable for immediate discharge with a 0% incidence of MACE or AMI. Of remaining patients, 314 (40.2%) were "low risk," 320 (40.9%) were "moderate risk," and 15 (1.9%) were "high risk," with incidences of MACE of 2.2, 19.7, and 53.3%, respectively. The sensitivity was 100% (95% confidence interval [CI] = 95.4% to 100%) for MACE at 30 days and 100% (95% CI = 94.1% to 100%) for AMI. The area under the receiver operating characteristic curve was 0.87 (95% CI = 0.83 to 0.91) for the MACS rule in the prediction of MACE. In this prospectively recruited cohort of ED patients with suspected ACS, the MACS decision rule identifies a significant proportion of patients who are suitable for immediate discharge after a single blood draw at presentation, with a very low risk of MACE at 30 days. This study externally validates previous findings that the MACS rule is a powerful diagnostic tool in this setting. A randomized controlled trial to establish the utility of the rule in an everyday clinical setting is justified.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 23%
Researcher 6 14%
Professor 4 9%
Student > Ph. D. Student 3 7%
Other 2 5%
Other 4 9%
Unknown 14 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 12 28%
Nursing and Health Professions 2 5%
Immunology and Microbiology 2 5%
Physics and Astronomy 2 5%
Environmental Science 1 2%
Other 4 9%
Unknown 20 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 February 2016.
All research outputs
#5,014,420
of 29,697,103 outputs
Outputs from Academic Emergency Medicine
#1,425
of 4,272 outputs
Outputs of similar age
#71,374
of 418,658 outputs
Outputs of similar age from Academic Emergency Medicine
#19
of 44 outputs
Altmetric has tracked 29,697,103 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 66% 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 418,658 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 82% of its contemporaries.
We're also able to compare this research output to 44 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 56% of its contemporaries.