EARLY DIAGNOSIS OF DIABETIC POLYNEUROPATHY USING LASER DOPPLER FLOWMETRY

Authors

  • Mamadinova Lolakhon Xomidovna Assistant of the Department of Neurology,Andijan State Medical Institute,Doctor of Philosophy in Medical Sciences (PhD)

DOI:

https://doi.org/10.55640/

Keywords:

diabetic polyneuropathy, laser Doppler flowmetry, microcirculation, early diagnosis, neurovascular regulation.

Abstract

Diabetic polyneuropathy (DPN) is one of the most common and disabling complications of diabetes mellitus, often diagnosed at advanced stages when structural nerve damage is already established. Early detection of functional microvascular and neurogenic changes is crucial for preventing progression. This study evaluates the diagnostic value of laser Doppler flowmetry (LDF) in the early identification of DPN by assessing microcirculatory and neurovascular responses in patients with type 2 diabetes mellitus. The findings indicate that LDF can detect subclinical alterations in skin blood flow and impaired vasomotor reactivity before overt clinical neuropathic signs appear, supporting its role as a non-invasive tool for early diagnosis.

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References

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Published

2025-12-01

Issue

Vol. 4 No. 10 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

EARLY DIAGNOSIS OF DIABETIC POLYNEUROPATHY USING LASER DOPPLER FLOWMETRY. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(10), 2372-2378. https://doi.org/10.55640/

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