Evidence map›Paper›PMID 39246299›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Bioimpedance measurement: a non-invasive diagnosis of limb compartment syndrome.

Martin Novak, Vladimir Jecminek, Leopold Pleva, Marek Penhaker, Martin Schmidt, Tomas Mimra, Jan Kubicek, Martin Augustynek

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Martin NovakDepartment of Trauma Surgery, Ostrava University Hospital and Department of Disaster Medicine, Faculty of Medicine, Ostrava, Czechia.
Vladimir JecminekDepartment of Trauma Surgery, Ostrava University Hospital and Department of Disaster Medicine, Faculty of Medicine, Ostrava, Czechia.
Leopold PlevaDepartment of Trauma Surgery, Ostrava University Hospital and Department of Disaster Medicine, Faculty of Medicine, Ostrava, Czechia.
Marek PenhakerDepartment of Cybernetics and Biomedical Engineering of the Technical University of Ostrava, Ostrava, Czechia.
Martin SchmidtDepartment of Cybernetics and Biomedical Engineering of the Technical University of Ostrava, Ostrava, Czechia.
Tomas MimraDepartment of Cybernetics and Biomedical Engineering of the Technical University of Ostrava, Ostrava, Czechia.
Jan KubicekDepartment of Cybernetics and Biomedical Engineering of the Technical University of Ostrava, Ostrava, Czechia.
Martin AugustynekDepartment of Cybernetics and Biomedical Engineering of the Technical University of Ostrava, Ostrava, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 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.

Indexed as

bioimpedancebioimpedance changescompartment syndromecompartment syndrome bioimpedance analyzersaline injection

Identifiers

PMID39246299
PMCPMC11377217

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.