A dual-sensor ultrasound based method for detecting elevated muscle compartment pressures: A prospective clinical pilot study.
Acute compartment syndrome
Muscle compartment pressure
Ultrasound
Journal
Injury
ISSN: 1879-0267
Titre abrégé: Injury
Pays: Netherlands
ID NLM: 0226040
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
received:
25
12
2020
accepted:
16
02
2021
pubmed:
1
3
2021
medline:
25
8
2021
entrez:
28
2
2021
Statut:
ppublish
Résumé
Acute compartment syndrome (ACS) is a limb-threatening condition associated with elevated muscle compartment pressures (MCPs). The only existing treatment of ACS is to reduce MCP by fasciotomy; however, a reliable clinical method for detecting elevated MCPs is lacking. A dual-sensor (ultrasound and pressure) technology to detect elevated MCPs was previously tested on cadavers. Our goal was to examine the use of this technology in the clinical setting. Patients with tibia fractures were prospectively enrolled. Observers used a dual-sensor probe to measure the amount of pressure required to flatten the anterior compartment fascia (CFFP). Direct-MCP measurements and 4-compartment fasciotomy were done for suspected ACS. Fifty-two patients were enrolled into the study. Nine patients underwent fasciotomy for a clinical diagnosis of ACS. Both CFFP (p-value = 8.395e-08) and delta-CFFP (p-value = 4.114e-05) were significantly larger in the fasciotomy group compared to the non-fasciotomy group. CFFP measurements showed very strong correlations to the direct MCP measurements (p-value = 0.006746, rho = 0.9285714), and delta-CFFP showed strong correlation (p-value = 0.06627, rho = 0.75). CFFP measurements had good inter-observer variability, with an interclass correlation (ICC) of 0.814 (95%-Confidence Interval: 0.631-0.907) and excellent intra-observer variability with an ICC of 0.942 (95%-Confidence Interval: 0.921-0.958). The results of this pilot study suggest that the proposed ultrasound-based method is useful in detecting elevated MCPs and may be helpful in the diagnosing ACS or ruling out the need for urgent fasciotomy. Large-scale clinical trials are needed to validate these claims.
Sections du résumé
BACKGROUND
BACKGROUND
Acute compartment syndrome (ACS) is a limb-threatening condition associated with elevated muscle compartment pressures (MCPs). The only existing treatment of ACS is to reduce MCP by fasciotomy; however, a reliable clinical method for detecting elevated MCPs is lacking. A dual-sensor (ultrasound and pressure) technology to detect elevated MCPs was previously tested on cadavers. Our goal was to examine the use of this technology in the clinical setting.
METHODS
METHODS
Patients with tibia fractures were prospectively enrolled. Observers used a dual-sensor probe to measure the amount of pressure required to flatten the anterior compartment fascia (CFFP). Direct-MCP measurements and 4-compartment fasciotomy were done for suspected ACS.
RESULTS
RESULTS
Fifty-two patients were enrolled into the study. Nine patients underwent fasciotomy for a clinical diagnosis of ACS. Both CFFP (p-value = 8.395e-08) and delta-CFFP (p-value = 4.114e-05) were significantly larger in the fasciotomy group compared to the non-fasciotomy group. CFFP measurements showed very strong correlations to the direct MCP measurements (p-value = 0.006746, rho = 0.9285714), and delta-CFFP showed strong correlation (p-value = 0.06627, rho = 0.75). CFFP measurements had good inter-observer variability, with an interclass correlation (ICC) of 0.814 (95%-Confidence Interval: 0.631-0.907) and excellent intra-observer variability with an ICC of 0.942 (95%-Confidence Interval: 0.921-0.958).
CONCLUSION
CONCLUSIONS
The results of this pilot study suggest that the proposed ultrasound-based method is useful in detecting elevated MCPs and may be helpful in the diagnosing ACS or ruling out the need for urgent fasciotomy. Large-scale clinical trials are needed to validate these claims.
Identifiants
pubmed: 33640161
pii: S0020-1383(21)00157-1
doi: 10.1016/j.injury.2021.02.054
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2166-2172Informations de copyright
Copyright © 2021. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of Competing Interest All authors hereby disclose that they have no conflict of interest in regards to this manuscript. This includes employment, consultancies, stock ownership, honoraria, paid expert testimony, patent applications/registrations, and grants or other funding.