Modern early diagnostic methods for acute kidney injury in wounded and injured patients

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.

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Publication Details

Journal
Bulletin of the Russian Military Medical Academy
Published
2025-05-01
DOI
https://doi.org/10.17816/brmma646325
Citations
1
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
1.43
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article

Modern early diagnostic methods for acute kidney injury in wounded and injured patients

Sergey V. Gaiduk, А. В. Марухов, М. В. Захаров, Arkady V. Yazenok et al.
1 citations
Bulletin of the Russian Military Medical Academy
Acute Kidney Injury Research
1.43
article

Modern early diagnostic methods for acute kidney injury in wounded and injured patients

Sergey V. Gaiduk, А. В. Марухов, М. В. Захаров, Arkady V. Yazenok, Artem A. Иванов, А. В. Попов, Lolita A. Kudryavtseva
article en
1 citations

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.

Bulletin of the Russian Military Medical AcademyVol. 27(1)
S. M. Kirov Military Medical Academy (RU)
Openalex Percentile: Top 20%
Acute Kidney Injury Research
1.43
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