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DIFFERENTIAL DIAGNOSIS OF HEREDITARY KIDNEY DISEASES IN CHILDREN USING NON-INVASIVE MARKERS OF DAMAGE

ДИФФЕРЕНЦИАЛЬНАЯ ДИАГНОСТИКА НАСЛЕДСТВЕННЫХ БОЛЕЗНЕЙ ПОЧЕК У ДЕТЕЙ С ИСПОЛЬЗОВАНИЕМ НЕИНВАЗИВНЫХ МАРКЕРОВ ПОВРЕЖДЕНИЯ
Authors: H. G. Bialkevich; I. A. Kazyra; A. P. Mirylenka;

DIFFERENTIAL DIAGNOSIS OF HEREDITARY KIDNEY DISEASES IN CHILDREN USING NON-INVASIVE MARKERS OF DAMAGE

Abstract

Aim. To develop the diagnostic method to determine the likelihood of a specific hereditary kidney disease. Material and methods. KIM-1, TGF-β1, RBP, β2-MG, creatinine, daily proteinuria (Pt) and GFR were determined in 23 patients with hereditary nephritis and 19 patients with tubulopathies. The average age at the time of the study was 13.5 (9-17) years. The ratio of boys/girls (%) was 24:18 (57.1:42.9). Results. The distribution of factors in the groups was considered. Statistically significant differences were found in terms of serum TGF-β1 and daily Pt. According to the results of mono-factor analysis, the factors that confirmed the prognostic significance were selected: urinary β2-MG (OR = 0.892 (0.696-1.175)), serum TGF-β1 (OR = 1.01 (1.002-1.018)) and daily Pt (OR = 25 (1.774-350)). For these factors the threshold values were calculated: urinary β2-MG = 0, serum TGF-β1>280, daily Pt>0.8. The nomogram and classification scheme were built on the basis of the mathematical model for the practical application. Conclusion. As a result of the study, 3 factors were established and 2 from these 3 markers were non-invasive (urinary β2-MG and daily proteinuria). The use of these markers makes possible to diagnose hereditary nephritis in children with high accuracy.

Keywords

наследственные болезни, модель, метод диагностики, R, Medicine, маркеры, дети, почки

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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