IgA血管炎肾炎实验室标志物及预测模型研究进展

doi:10.20274/j.cnki.issn.1674-3865.2026.03.008

Abstract

Abstract:

IgA vasculitis is the most common vasculitis in children, often involving the skin, joints, gastrointestinal tract and kidneys. Kidney damage is the most serious complication, and about 8% of children may progress to renal failure. At present, although kidney biopsy is the gold standard for diagnosis, it is difficult to carry out it widely due to its invasiveness and difficulty when performed in children. Therefore, finding non-invasive and reliable biomarkers and constructing predictive models are of great significance for early disease identification, activity assessment, and prognosis judgment. This paper systematically reviews the potential application value of blood, urine and genetic markers related to IgA vasculitis nephritis(IgAVN) in disease diagnosis, activity assessment and prognosis prediction, sorts out the evolution of IgAVN prediction model from traditional statistical methods to machine learning algorithms, analyzes the limitations of existing models, and makes a prospective outlook for future research directions.

Key words: IgA vasculitis nephritis, Biomarkers, Prediction model, Child

CLC Number:

R692.3

Ziyang JIN, Yongchang YANG. Research progress in laboratory markers and predictive models for IgA vasculitis nephritis[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2026, 18(3): 230-235.

References 46

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Research progress in laboratory markers and predictive models for IgA vasculitis nephritis

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