External validity of the international method for predicting clinical outcome of immunoglobulin A-nephropathy in the Belarusian cohort of patients
- Authors: Komissarov K.S.1,2, Krasko O.V.3, Pilotovich V.S.2, Dmitrieva M.V.4,5, Letkovskaya T.A.4, Prilutsky S.V.6
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Affiliations:
- State University Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology
- Institute for Advanced Training and Retraining of Healthcare Personnel, Belarusian State Medical University
- Joint Institute of Informatics Problems of the National Academy of Sciences of Belarus
- Belarusian State Medical University
- City Clinical Pathological Bureau
- Minsk Regional Clinical Hospital
- Issue: Vol 16, No 2 (2024)
- Pages: 35-42
- Section: Original Articles
- URL: https://journals.rcsi.science/2075-3594/article/view/261027
- DOI: https://doi.org/10.18565/nephrology.2024.2.35-42
- ID: 261027
Cite item
Abstract
Objective. Assessment of the external validity of the International Method for Predicting the Clinical Outcome of Immunoglobulin A Nephropathy (IGAN) based on an independent Belarusian cohort of patients.
Material and methods: The study included 164 patients with a confirmed diagnosis of IgAN in the Nephrology Departments of Minsk. For the period from 2010 to 2020, the predicted risks of clinical outcome for each patient in the Belarusian cohort were calculated. The effectiveness of discrimination (Harrell's C-index of concordance, Royston-Sauerbrey discrimination coefficient R2D, and Kaplan-Meier curves between subgroups) and model calibration (calibration slope) were assessed.
Results. The international method showed excellent discrimination (Harrell C-index=0.86, R2D=60% and well-separated survival curves between low- and high-risk patients), satisfactory calibration (calibration slope >1.2) regardless of the inclusion of a race model.
Conclusion. The study demonstrated high discrimination and satisfactory calibration of the international method for predicting the clinical outcome of IgAN in the Belarusian cohort of patients
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##article.viewOnOriginalSite##About the authors
Kirill S. Komissarov
State University Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology; Institute for Advanced Training and Retraining of Healthcare Personnel, Belarusian State Medical University
Author for correspondence.
Email: kirill_ka@tut.by
ORCID iD: 0000-0002-2648-0642
Cand.Sci. (Med.), Associate Professor, Head of the Department of Nephrology, Renal Replacement Therapy and Kidney Transplantation, Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology
Belarus, Minsk; MinskOlga V. Krasko
Joint Institute of Informatics Problems of the National Academy of Sciences of Belarus
Email: olga.krasko.ok@gmail.com
ORCID iD: 0000-0002-4150-282X
Cand.Sci. (Tech.), Leading Researcher at the Laboratory of Bioinformatics Joint Institute of Informatics Problems of the National Academy of Sciences of Belarus
Belarus, MinskValery S. Pilotovich
Institute for Advanced Training and Retraining of Healthcare Personnel, Belarusian State Medical University
Email: pilotovich@mail.ru
ORCID iD: 0000-0001-8256-5889
Dr.Sci. (Med.), Professor at the Department of Urology and Nephrology, Institute for Advanced Training and Retraining of Healthcare Personnel
Belarus, MinskMargarita V. Dmitrieva
Belarusian State Medical University; City Clinical Pathological Bureau
Email: mvdmitieva@inbox.ru
ORCID iD: 0000-0002-2958-9424
Associate Professor at the Department of Pathological Anatomy
Belarus, Minsk; MinskTatyana A. Letkovskaya
Belarusian State Medical University
Email: taletkovskaya@mail.ru
ORCID iD: 0000-0002-9381-2985
Associate Professor, Head of the Department of Pathological Anatomy
Belarus, MinskSergey V. Prilutsky
Minsk Regional Clinical Hospital
Email: 2489861@rambler.ru
ORCID iD: 0009-0004-5174-1893
Nephrologist, Head of the Hemodialysis Department
Belarus, MinskReferences
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