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Bioimpedance technology for detection of thoracic injury

Artikel i vetenskaplig tidskrift
Författare R. Buendia
S. Candefjord
B. Sanchez
Hans Granhed
B. A. Sjoqvist
Per Örtenwall
Eva Corina Caragounis
Publicerad i Physiological Measurement
Volym 38
Nummer/häfte 11
Sidor 2000-2014
ISSN 0967-3334
Publiceringsår 2017
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för kirurgi
Sidor 2000-2014
Språk en
Länkar doi.org/10.1088/1361-6579/aa8de2
Ämnesord bioimpedance, thoracic injuries, prehospital care, diagnostics, trauma, injury prevention, bioelectrical-impedance, body-composition, localized bioimpedance, skin, temperature, muscle injury, global burden, trauma-center, mortality, deaths, time, Biophysics, Engineering, Physiology
Ämneskategorier Kirurgi

Sammanfattning

Objective: Thoracic trauma is one of the most common and lethal types of injury, causing over a quarter of traumatic deaths. Severe thoracic injuries are often occult and difficult to diagnose in the field. There is a need for a point-of-care diagnostic device for severe thoracic injuries in the prehospital setting. Electrical bioimpedance (EBI) is non-invasive, portable, rapid and easy to use technology that can provide objective and quantitative diagnostic information for the prehospital environment. Here, we evaluated the performance of EBI to detect thoracic injuries. Approach: In this open study, EBI resistance (R), reactance (X) and phase angle (PA) of both sides of the thorax were measured at 50 kHz on patients suffering from thoracic injuries (n = 20). In parallel, a control group consisting of healthy subjects (n = 20) was recruited. A diagnostic mathematical algorithm, fed with input parameters derived from EBI data, was designed to differentiate patients from healthy controls. Main results: Ratios between the X and PA measurements of both sides of the thorax were significantly different (p < 0.05) between healthy volunteers and patients with left-and right-sided injuries. The diagnostic algorithm achieved a performance evaluated by leave-one-out cross-validation analysis and derived area under the receiver operating characteristic curve of 0.88. Significance: A diagnostic algorithm that accurately discriminates between patients suffering thoracic injuries and healthy subjects was designed using EBI technology. A larger, prospective and blinded study is thus warranted to validate the feasibility of EBI technology as a prehospital tool.

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