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Updated: Feb 24, 2026

A Novel Non-invasive Method for the Detection of Elevated Intra-compartmental Pressures of the Leg
Published on: May 31, 2019
Regional oximetry for diagnosing compartment syndrome: a scoping review
Linda Yuhan Tang1, Dave Osinachukwu Duru2, Andrew Browne3
1School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK. lint7764@gmail.com.
Purpose:
Diagnosis of compartment syndrome remains challenging, as intracompartmental pressure (ICP) monitoring measures mechanical pressure rather than tissue perfusion. Near-infrared spectroscopy (NIRS) enables non-invasive, continuous assessment of tissue oxygen saturation (StO2), potentially identifying ischemia earlier. However, its diagnostic accuracy remains uncertain.
Methods:
Following PRISMA-ScR guidelines, PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, and WHO-ICTRP were searched to April 2025 for studies evaluating NIRS in acute (ACS) or chronic exertional (CECS) compartment syndrome. Data on diagnostic accuracy, device protocols, and patient characteristics were extracted. Studies reporting comparable StO2 data in CECS and controls were pooled using a random-effects meta-analysis.
Results:
Twenty-three studies (n = 1000) were included. In ACS, some demonstrated strong correlation with perfusion pressure and post-fasciotomy StO2 recovery, while others found poor agreement with ICP or no diagnostic discrimination. There was heterogeneity in device type, patient demographics (particularly skin pigmentation), and protocols. In CECS, pooled analysis showed lower baseline StO2 (mean difference - 3.4%, 95% CI - 6.2 to - 0.7) and greater exercise-induced deoxygenation (+ 15.0%, 95% CI 0.4-29.7) versus controls.
Conclusion:
NIRS provides a physiologically relevant but technically variable indicator of compartmental perfusion, which may complement, but not replace, ICP monitoring for compartment syndrome. The results presented are hypothesis-generating and require prospective trials with standardised protocols, inclusive calibration, and prospective validation before clinical adoption of NIRS.
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