Modern early diagnostic methods for acute kidney injury in wounded and injured patients
- Authors: Yazenok A.V.1, Ivanov A.A.1, Zakharov M.V.1, Gaiduk S.V.1, Marukhov A.V.1, Popov A.V.1, Kudryavtseva L.A.1
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Affiliations:
- Kirov Military Medical Academy
- Issue: Vol 27, No 1 (2025)
- Pages: 93-104
- Section: Original Study Article
- URL: https://journals.rcsi.science/1682-7392/article/view/292168
- DOI: https://doi.org/10.17816/brmma646325
- ID: 292168
Cite item
Abstract
Background: This study substantiated the development of a mathematical model for predicting acute kidney injury (AKI) at the stage of qualified medical care and a diagnostic method for early detection of this complication in trauma-related disease using immunochromatographic test strips for cystatin C detection in single urine samples.
Materials and methods: The study involved two phases. In phase 1, upon hospital admission, the patients’ condition was assessed using a military field surgery scale for severity evaluation. A complete blood count and urinalysis were performed, as well as three sequential biochemical blood tests to determine standard AKI markers. Obtained data were used to develop a predictive formula for AKI. In phase 2, retrospectively, after preliminary sample preparation, an AKI diagnostic method was employed using the developed immunochromatographic test strips for cystatin C detection in a single urine sample.
Results: Upon applying a urine sample to the test strip, it interacts with a conjugate, and a control marker appears. If cystatin C binds to specific antibodies, two lines appear, indicating a positive test result. The method allows for the verification of AKI with > 80% accuracy in the early phase of trauma-related disease.
Conclusions: This study highlights the importance of a comprehensive approach that incorporates a predictive model on hospital admission of wounded patients. Implementing rapid diagnostic methods using cystatin C in the early stages of medical care improves triage efficiency, facilitates intensive therapy, and optimizes patient management during evacuation delays.
Full Text
##article.viewOnOriginalSite##About the authors
Arkady V. Yazenok
Kirov Military Medical Academy
Email: vmeda-nio@mil.ru
ORCID iD: 0000-0002-1334-8191
SPIN-code: 4107-1280
MD, Dr. Sci. (Medicine), Associate Professor
Russian Federation, Saint PetersburgArtyom A. Ivanov
Kirov Military Medical Academy
Author for correspondence.
Email: vmeda-nio@mil.ru
ORCID iD: 0000-0003-1009-6096
SPIN-code: 2089-3648
adjunct
Russian Federation, Saint PetersburgMikhail V. Zakharov
Kirov Military Medical Academy
Email: vmeda-nio@mil.ru
ORCID iD: 0000-0001-6549-3991
SPIN-code: 4732-9877
MD, Dr. Sci. (Medicine)
Russian Federation, Saint PetersburgSergey V. Gaiduk
Kirov Military Medical Academy
Email: vmeda-nio@mil.ru
ORCID iD: 0000-0003-1524-9493
SPIN-code: 8602-4922
MD, Dr. Sci. (Medicine), Associate Professor
Russian Federation, Saint PetersburgArtem V. Marukhov
Kirov Military Medical Academy
Email: vmeda-nio@mil.ru
ORCID iD: 0000-0003-2673-8081
SPIN-code: 6428-0402
MD, Cand. Sci. (Medicine)
Russian Federation, Saint PetersburgAndrey V. Popov
Kirov Military Medical Academy
Email: vmeda-nio@mil.ru
ORCID iD: 0009-0000-9800-4381
SPIN-code: 8826-7378
MD, Cand. Sci. (Medicine)
Saint PetersburgLolita A. Kudryavtseva
Kirov Military Medical Academy
Email: vmeda-nio@mil.ru
ORCID iD: 0009-0009-4747-8208
student
Saint PetersburgReferences
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