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Published on: July 8, 2020
Urinary excretion of low-molecular-weight proteins as prognostic markers in IgA nephropathy
H P E Peters1, J A J G van den Brand, J F M Wetzels
1Department of Nephrology, Radboud University Nijmegen Medical Center Nijmegen, Nijmegen, the Netherlands. H.Peters@aig.umcn.nl
Background:
Immunoglobulin A nephropathy (IgAN) is characterised by high variability in clinical course and outcome. Accurate prediction of prognosis is needed to optimise treatment. Urinary alpha1-microglobulin and beta2-microglobulin are markers of tubulointerstitial injury and predict the risk of end-stage renal disease (ESRD) in idiopathic membranous nephropathy. We questioned the relevance of these markers in IgAN.
Methods:
We included patients with biopsy proven IgAN, who were evaluated for proteinuria in our centre between 1995 and 2007. Data were analysed using univariate and multivariate Cox regression for the outcome variables ESRD and progression (rise in serum creatinine of >50% or start of immunosuppressive therapy).
Results:
Seventy patients (71% men) were selected. Median age was 39 years, median serum creatinine 140 micromol/l, and median proteinuria 2.4 g/day. Median urinary alpha1-microglobulin excretion was 23.5 microg/min (range 3.5-275.3) and median urinary beta2-microglobulin excretion was 0.4 microg/min (range 0.1-62.1). Both alpha1m and beta2m correlated significantly with serum creatinine (r = 0.65, p<0.01 and r = 0.62, p<0.01) and total proteinuria (r = 0.35, p<0.01 and r = 0.28, p<0.05). During follow-up (median 75 months) 25 patients (36%) developed ESRD , and 46 patients (66%) showed progression. 19 patients (27%) were treated with immunosuppressive agents. In univariate analysis urinary alpha1- and beta2-microglobulin predicted ESRD and progression. In multivariate analysis only serum creatinine and urinary protein were independent predictors of both outcomes.
Conclusion:
Urinary excretion of low molecular weight proteins did not offer an advantage over total proteinuria and serum creatinine in predicting prognosis in patients with IgAN.
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