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The diagnosis of acute compartment syndrome: a review

Overview of attention for article published in European Journal of Trauma and Emergency Surgery, June 2014
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Title
The diagnosis of acute compartment syndrome: a review
Published in
European Journal of Trauma and Emergency Surgery, June 2014
DOI 10.1007/s00068-014-0414-7
Pubmed ID
Authors

M. M. McQueen, A. D. Duckworth

Abstract

Delay in the diagnosis of acute compartment syndrome (ACS) has serious and sometimes catastrophic consequences for the outcome of injury, and has been recognised as one of the primary causes of a poor outcome. This article reviews the evidence for the use of clinical findings and intra-compartmental pressure (ICP) monitoring in making a prompt diagnosis of ACS. Clinical findings have poor sensitivities (13-64 %) compared to ICP monitoring (94 %) using a differential pressure threshold of less than 30 mmHg for more than 2 h. The specificities of clinical findings range from 63 to 98 % compared to a value of 98 % for ICP monitoring. Patients at risk of ACS or at risk of a delayed diagnosis are defined, and it is recommended that these patients undergo ICP monitoring. It is recommended that decompression is carried out primarily on the basis of the differential pressure being less than 30 mmHg for more than 2 h as this results in a reduced time to definitive treatment when compared to waiting for the development of clinical symptoms and signs.

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Denmark 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Other 7 13%
Student > Bachelor 6 11%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Postgraduate 3 6%
Other 9 17%
Unknown 20 37%
Readers by discipline Count As %
Medicine and Dentistry 25 46%
Engineering 4 7%
Agricultural and Biological Sciences 2 4%
Social Sciences 1 2%
Unknown 22 41%