A novel differential diagnostic model based on multiple biological parameters for immunoglobulin A nephropathy

Abstract

Abstract Background Immunoglobulin A nephropathy (IgAN) is the most common form of glomerulonephritis in China. An accurate diagnosis of IgAN is dependent on renal biopsies, and there is lack of non-invasive and practical classification methods for discriminating IgAN from other primary kidney diseases. The objective of this study was to develop a classification model for the auxiliary diagnosis of IgAN using multiparameter analysis with various biological parameters. Methods To establish an optimal classification model, 121 cases (58 IgAN vs. 63 non-IgAN) were recruited and statistically analyzed. The model was then validated in another 180 cases. Results Of the 57 biological parameters, there were 16 parameters that were significantly different (P Conclusions These models possess potential clinical applications in distinguishing IgAN from other primary kidney diseases.

Keywords

• Primary kidney disease
• IgA nephropathy
• Multiparameter analysis