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

Autor: Yong Wang, Zhennan Dong, Zhangming Yan, Yaping Tian, Xingwang Jia, Jing Gao
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 58 (2012)
BMC Medical Informatics and Decision Making
ISSN: 1472-6947
Popis: BackgroundImmunoglobulin 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.MethodsTo 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.ResultsOf the 57 biological parameters, there were 16 parameters that were significantly different (P ConclusionsThese models possess potential clinical applications in distinguishing IgAN from other primary kidney diseases.
Databáze: OpenAIRE