Bioimpedance technology for detection of thoracic injury.
Physiol Meas
; 38(11): 2000-2014, 2017 Oct 31.
Article
em En
| MEDLINE
| ID: mdl-28930098
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Traumatismos Torácicos
/
Impedância Elétrica
Tipo de estudo:
Diagnostic_studies
Limite:
Adult
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Female
/
Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Physiol Meas
Assunto da revista:
BIOFISICA
/
ENGENHARIA BIOMEDICA
/
FISIOLOGIA
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Suécia