Разработка и валидация стандартизированной технологии IVD для скрининга хронической болезни почек на основе сравнительного анализа методов определения протеинурии

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Background. Chronic kidney disease (CKD) is a global public health problem. Proteinuria screening plays a key role in its early detection; however, variability in results due to differences in methods and equipment hinders standardization of diagnostics.

Objective. Development and optimization of standardized in vitro diagnostic (IVD) technology for CKD screening based on a comparative analysis of the accuracy, reproducibility, and clinical significance of urine protein determination methods.

Materials and methods. A prospective study of 43 patient urine samples was conducted. Protein concentration was determined using three analyzers: Aution Max AX-4030 (semi-quantitative dry chemistry method), Belur-600 (pyrogallol red, PGR), and AU480 (Beckman Coulter, pyrogallol red/molybdate). Urine and serum creatinine level was determined using the AU480 (Jaffe method, IDMS-standardized). Reproducibility, bias, correlation, and regression analyses were assessed. Glomerular filtration rate (GFR) was calculated using the CKD-EPI, MDRD, and Cockcroft-Gault formulas.

Results. All methods demonstrated high reproducibility (CV < 3.5%). A systematic overestimation of results on the AU480 analyzer by an average of 15–20% compared to the Belur-600 and Aution Max was detected, especially in the low protein concentration range (0–0.99 g/L; p < 0.05). Aution Max demonstrated 100% sensitivity at the clinically relevant urinary protein-to-creatinine ratio threshold of 150 mg/L. A strong inverse correlation between the protein-to-creatinine (P/Cr) ratio and GFR (r=-0.78–-0.81; p<0.001) confirmed the diagnostic value of the P/Cr ratio. The highest agreement in CKD staging was observed between the CKD-EPI and MDRD formulas (88% complete stage agreement).

Conclusion. Based on these results, a standardized two-stage IVD screening technology for CKD was developed. The algorithm includes an initial, highly sensitive screening using Aution Max, followed by confirmation and quantification of proteinuria by determining the P/Cr ratio in urine using a biochemical analyzer (preferably AU480) and calculating GFR using the CKD-EPI formula. To ensure the accuracy and comparability of results, the use of a single platform and reagents within a single laboratory is critical.

About the authors

Inna O. Schmidt

St. Petersburg "St. Luke's Clinical Hospital"

Author for correspondence.
Email: cn@bionika-media.ru
ORCID iD: 0000-0003-0653-6757

Researcher

Russian Federation, St. Petersburg

Olga L. Vlasova

Peter the Great St. Petersburg Polytechnic University, Institute of Biomedical Systems and Biotechnology, Higher School of Biomedical Systems and Technologies

Email: vlasova_ol@spbstu.ru
ORCID iD: 0000-0002-9590-703X

Doctor of Physics and Mathematics, Researcher

Russian Federation, St. Petersburg

Ruslan G. Guseynov

St. Petersburg "St. Luke's Clinical Hospital"; St. Petersburg Medical and Social Institute

Email: rusfa@yandex.ru
ORCID iD: 0000-0001-9935-0243

Cand.Sci. (Med.), Deputy Chief Physician for Research

Russian Federation, St. Petersburg; St. Petersburg

Akhmed Kh. Beshtoev

St. Petersburg "St. Luke's Clinical Hospital"

Email: akhmed.beshtoev@gmail.com
ORCID iD: 0009-0004-6436-3860

Researcher

Russian Federation, St. Petersburg

Egor A. Malyshev

St. Petersburg "St. Luke's Clinical Hospital"

Email: malyshevyegor@gmail.com
ORCID iD: 0000-0001-6294-6182

Researcher

Russian Federation, St. Petersburg

Tatyana A. Lelyavina

St. Petersburg "St. Luke's Clinical Hospital"; Almazov National Medical Research Center

Email: tatianalelyavina@mail.ru
ORCID iD: 0000-0002-1834-4982

Dr.Sci. (Med.), Leading Researcher

Russian Federation, St. Petersburg; St. Petersburg

References

  1. Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, Zoccali C. A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. Kidney Int. 2019 Nov;96(5):1048-1050. doi: 10.1016/j.kint.2019.07.012. Epub 2019 Sep 30. PMID: 31582227.
  2. Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, Pletcher MA, Smith AE, Tang K, Yuan CW, Brown JC, Friedman J, He J, Heuton KR, Holmberg M, Patel DJ, Reidy P, Carter A, Cercy K, Chapin A, Douwes-Schultz D, Frank T, Goettsch F, Liu PY, Nandakumar V, Reitsma MB, Reuter V, Sadat N, Sorensen RJD, Srinivasan V, Updike RL, York H, Lopez AD, Lozano R, Lim SS, Mokdad AH, Vollset SE, Murray CJL. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet. 2018 Nov 10;392(10159):2052-2090. doi: 10.1016/S0140-6736(18)31694-5. Epub 2018 Oct 16. PMID: 30340847; PMCID: PMC6227505.
  3. Grams ME, Yang W, Rebholz CM, Wang X, Porter AC, Inker LA, Horwitz E, Sondheimer JH, Hamm LL, He J, Weir MR, Jaar BG, Shafi T, Appel LJ, Hsu CY; CRIC Study Investigators. Risks of Adverse Events in Advanced CKD: The Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Kidney Dis. 2017 Sep;70(3):337-346. doi: 10.1053/j.ajkd.2017.01.050. Epub 2017 Mar 30. PMID: 28366517; PMCID: PMC5572665.
  4. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int. 2024 Apr;105(4S):S117-S314. doi: 10.1016/j.kint.2023.10.018. PMID: 38490803.
  5. Watanabe N, Kamei S, Ohkubo A, Yamanaka M, Ohsawa S, Makino K, Tokuda K. Urinary protein as measured with a pyrogallol red-molybdate complex, manually and in a Hitachi 726 automated analyzer. Clin Chem. 1986 Aug;32(8):1551-4. PMID: 3731450.
  6. Кишкун А.А. Руководство по лабораторным методам диагностики. М., 2013. [Kishkun A.A. Manual on Laboratory Diagnostic Methods. Moscow, 2013 (In Russ.)].
  7. KDIGO 2012 Clinical Practice Guideline. Kidney Int. Suppl. 2013;3:1–150.

Supplementary files

Supplementary Files
Action
1. JATS XML

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).