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

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 < 0.05) between IgAN and no

SUBMITTER: Gao J 

PROVIDER: S-EPMC3488968 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature