NEW APPROACHES FOR DIAGNOSIS OF ACUTE NON-TRAUMATIC ISCHEMIA OF THE EXTREMITIES: LITERATURE REVIEW

Authors

  • Alexandru Predenciuc State University of Medicine and Pharmacy “Nicolae Testemiţanu”, Chișinău, Republic of Moldova https://orcid.org/0000-0002-2730-8115
  • Dumitru Casian State University of Medicine and Pharmacy “Nicolae Testemiţanu”, Chișinău, Republic of Moldova

DOI:

https://doi.org/10.5281/zenodo.5765517

Keywords:

diagnosis, acute non-traumatic ischemia, extremities

Abstract

Objectives. The aim of the study was to analyze evidence based data from existing literature sources, on the diagnosis of acute non-traumatic ischemia of the extremities.

Material and methods. Google Scholar and PubMed search engines were used to find evidence based data for diagnosis of acute non-traumatic ischemia of the extremities. The following keywords were used for search: "diagnosis”, “non-traumatic”, “acute limb ischemia”

Results. There were identified 25 scientific publications that reflect current evidence regarding the diagnosis of the diagnosis of acute non-traumatic ischemia of the extremities.

Conclusion. The diagnosis of acute limb ischemia, as well as the assessment of its severity at present, remains to be based on the clinical examination of the patient. The implementation of additional techniques in clinical practice (CW-Doppler examination, thermography) can help to objectify the signs of ischemia and reduce the rate of diagnostic errors. Non-invasive vascular imaging methods, and primarily duplex ultrasound, provide crucial information for the selection of revascularization methods, but their real impact and effectiveness require evaluation in several prospective studies conducted in different medical systems. Determining the correlations between the level of biomarkers of inflammation and tissue ischemia with the results of acute limb ischemia treatment is a field of perspective for scientific research.

Published

07-12-2021

Issue

Section

REVIEW ARTICLES

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)