Bioimpedance measurement: a non-invasive diagnosis of limb compartment syndrome
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic-ecollection
Document type Journal Article
PubMed
39246299
PubMed Central
PMC11377217
DOI
10.3389/fbioe.2024.1433284
PII: 1433284
Knihovny.cz E-resources
- Keywords
- bioimpedance, bioimpedance changes, compartment syndrome, compartment syndrome bioimpedance analyzer, saline injection,
- Publication type
- Journal Article MeSH
INTRODUCTION: The methods for diagnosing compartment syndrome non-invasively remain under debate. Bioimpedance measurements offer a promising avenue in clinical practice, detecting subtle changes in organ impedance due to volume shifts. This study explores bioimpedance measurement as a novel, painless method for diagnosing compartment syndrome, potentially enabling continuous monitoring. OBJECTIVE: This work aims to develop a prototype device for non-invasive diagnosis of compartment syndrome based on bioimpedance changes and assess initial results through in vitro experiments on inanimate biological material. We assume a change in the bioimpedance value after the application of physiological solution. MATERIALS AND METHODS: Between 2018 and 2022, a prototype device for diagnosing limb compartment syndrome was collaboratively developed with the Department of Cybernetics and Biomedical Engineering at the Technical University of Ostrava, Czech Republic. This device operates by comparing bioimpedance between two compartments, one of which is pathologically affected (experiencing compartment syndrome). The Bioimpedance Analyzer for Compartment Syndrome (BACS) has been utilized to conduct measurements on inanimate biological material in laboratory settings. Two samples of duck and chicken tissue, as well as piglets, were employed for these experiments. According to the size of sample was compartment syndrome simulated by injecting 20-120 mL saline into one limb (breast) while leaving the other as a control. Invasive intramuscular pressure measurements were conducted post-saline injection using a conventional device (Stryker). Changes in bioimpedance were evaluated following saline application. RESULTS: The non-invasive bioimpedance measurement instrument has been developed. It meets the safety requirements of European standard EN 60601-1. Measurement of accuracy showed minimal deviation for both channels (1.08% for the left channel and 1.84% for the right channel) when measuring on resistors. Ten measurements were conducted using the BACS prototype - two on chicken legs, two on duck breasts, two on duck legs, and four on piglets. Compartment syndrome simulation was achieved for all 10 measurements (IMP variance 31-45 mmHg). Following saline application, a notable decrease in bioimpedance was observed in the compartment simulating compartment syndrome (decrease by 12-78 Ω). CONCLUSION: Non-invasive methods could revolutionize limb compartment syndrome diagnosis, offering advantages such as non-invasiveness and continuous monitoring of compartment swelling.
See more in PubMed
Bera T. K. (2014). Bioelectrical impedance methods for noninvasive health monitoring: a review. J. Med. Eng. 2014, 1–28. 10.1155/2014/381251 PubMed DOI PMC
Campa F., Toselli S., Mazzilli M., Gobbo L. A., Coratella G. (2021). Assessment of body composition in athletes: a narrative review of available methods with special reference to quantitative and qualitative bioimpedance analysis. Nutrients 13 (5), 1620. 10.3390/nu13051620 PubMed DOI PMC
Henn J., Lingohr P., Branchi V., Semaan A., Von Websky M. W., Glowka T. R., et al. (2021). Open abdomen treatment in acute pancreatitis. Front. Surg. 7, 588228. 10.3389/fsurg.2020.588228 PubMed DOI PMC
Jagminas L. (2022). Compartment pressure measurement. Medscape.
Karonen E., Wrede A., Acosta S. (2021). Risk factors for fasciotomy after revascularization for acute lower limb ischaemia. Front. Surg. 8, 662744. 10.3389/fsurg.2021.662744 PubMed DOI PMC
Kassanos P. (2021). Bioimpedance sensors: a tutorial. IEEE Sens. J. 1-1, 22190–22219. 10.1109/JSEN.2021.3110283 DOI
Khalil S. F., Mohktar M. S., Ibrahim F. (2014). The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases. Sensors 14 (6), 10895–10928. 10.3390/s140610895 PubMed DOI PMC
Krzenski P., Sobotnicki A., Gacek A., Siebert J., Walczak A., Murawski P., et al. (2021). Noninvasive bioimpedance methods from the viewpoint of remote monitoring in heart failure. JMIR Mhealth Uhealth 9 (5), 25937. 10.2196/25937 PubMed DOI PMC
Mubarak S. J., Owen C. A., Hargens A. R., Garetto L. P., Akeson W. H. (1978). Acute compartment syndromes: diagnosis and treatment with the aid of the wick catheter. Surg. 60, 1091–1095. 10.2106/00004623-197860080-00012 PubMed DOI
Naranjo-Hernández D., Reina-Tosina J., Min M. (2019). Fundamentals, recent advances, and future challenges in bioimpedance devices for healthcare applications. J. Sens. 2019, 1–42. 10.1155/2019/9210258 DOI
Novak M., Penhaker M., Raska P., Pleva L., Schmidt M. (2022). Extremity compartment syndrome: a review with a focus on non-invasive methods of diagnosis. Front. Bioeng. Biotechnol. 10, 801586–802022. 10.3389/fbioe.2022.801586 PubMed DOI PMC
Peng B., Wan T., Tan W., Guo W., He M. (2022). Novel retrograde tibial intramedullary nailing for distal tibial fractures. Front. Surg. 9, 899483. 10.3389/fsurg.2022.899483 PubMed DOI PMC
Piuzzi E., Pisa S., Pittella E., Podestá L., Sangiovanni S. (2018). Low-cost and portable impedance plethysmography system for the simultaneous detection of respiratory and heart activities. IEEE Sens. J. 19 (7), 2735–2746. 10.1109/JSEN.2018.2887303 DOI
Sellei M., Kobbe R., Hildebrand F. (2021). Non-invasive diagnostics in acute compartment syndrome. London, United Kingdom: IntechOpen. 10.5772/intechopen.97874 DOI
Tonkovic S., Tonkovic I., Kovacic D. (2000). Bioelectric impedance analysis of lower leg ischaemic muscles. 22nd Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (cat. No.00CH37143) 1, 757–760. 10.1109/IEMBS.2000.900859 DOI
Tonkovic S., Voloder D. Compartmental syndrome diagnostics using custom designed bioimpedance analyzer. , 1998, vol. 2, 1480–1484. 10.1109/MELCON.1998.699486 DOI
Yang E., Chan S.-Y. C., Al-Omari Y., Ward L., Yap T. E., Jhass A., et al. (2021). A functional radiological and soft tissue classification to predict outcomes in orbital fracture Surgery in a multidisciplinary “real-world” setting. Front. Surg. 8, 693607. 10.3389/fsurg.2021.693607 PubMed DOI PMC