Clinical features and natural history of IgA nephropathy

被引:0
作者
Rychlik, I
Andrassy, K
Waldherr, R
Zuna, I
Tesar, V
Jancová, E
Stejskalová, A
Ritz, E
机构
[1] Ruprecht Karls Univ Heidelberg, Sekt Nephrol, Dept Internal Med, D-69115 Heidelberg, Germany
[2] Charles Univ Prague, Dept Med 1, Sch Med 1, Prague, Czech Republic
[3] Charles Univ Prague, Dept Pathol 1, Sch Med 1, Prague, Czech Republic
[4] Ruprecht Karls Univ Heidelberg, Dept Pathol, Heidelberg, Germany
[5] Deutsch Krebsforschungszentrum, D-6900 Heidelberg, Germany
来源
ANNALES DE MEDECINE INTERNE | 1999年 / 150卷 / 02期
关键词
IgA nephropathy; immunoglobulin A;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide. It is characterized by recurrent gross hematuria, microhematuria and/or proteinuria and diffuse mesangial IgA deposits in glomeruli, It is predominantly a disease of young mates. Apart from primary IgAN (Berger's disease), IgA deposits in the glomeruli are also seen in Henoch-Schonlein purpura and in association with various of other diseases, particularly liver cirrhosis. Originally it was thought that IgAN was a benign disease, but it is now known that approximately 20-40% of patients develop progressive renal disease 5 to 25 years after diagnosis and progress to end-stage renal disease. Clinical predictors of progressive disease are elevated serum creatinine concentration at presentation, increased systemic blood pressure, persistent protein excretion > 1.0 g/day and histological predictors are glomerulosclerosis, tubular atrophy/interstitial fibrosis, extension of immune deposits to the perivascular space and crescent formation, Progression correlates more closely with the severity of tubulointerstitial lesions than with the degree of glomerular lesions. These features of IgAN reported in literature were mostly, but not completely, confirmed by analysis of all consecutive patients with biopsy proven IgAN and follow-up > 12 months in the renal units of Heidelberg and Prague using univariate analysis, multiple range test and multiple regression analysis.
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页码:117 / 126
页数:10
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