New selectivity index calculated using protein fraction as a substitute for the conventional selectivity index

Background Selectivity index (SI) of proteinuria, calculated using the clearance ratio of immunoglobulin G to transferrin, predicts the response to glucocorticoids in patients with nephrotic syndrome. However, there is disagreement regarding the suitability of SI. Therefore, alternate indices should...

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Veröffentlicht in:Clinical and experimental nephrology 2019-10, Vol.23 (10), p.1196-1201
Hauptverfasser: Nakamura, Jun, Nagatoya, Katsuyuki, Fujii, Naohiko, Warada, Aki, Tokuyama, Atsuyuki, Masuyama, Satoshi, Kajimoto, Sachio, Haga, Ryota, Yamauchi, Atsushi
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Sprache:eng
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Zusammenfassung:Background Selectivity index (SI) of proteinuria, calculated using the clearance ratio of immunoglobulin G to transferrin, predicts the response to glucocorticoids in patients with nephrotic syndrome. However, there is disagreement regarding the suitability of SI. Therefore, alternate indices should be considered. This study investigated whether or not selectivity index protein fraction (SIPF) was inferior to SI for the prediction of the response to glucocorticoids. Methods Forty-nine patients with nephrotic syndrome were evaluated. On the basis of molecular weight and protein fraction, as an inexpensive substitute for SI, the clearance ratio of the albumin to γ fractions measured in serum and urine protein fractions was defined as SIPF. The quality of SIPF was examined. Moreover, the best cutoff value of SIPF was determined; and SIPF distribution, according to histopathological diagnosis by renal biopsy, was examined. Results SIPF was strongly correlated with SI ( r  = 0.79, P   0.45, only two patients with minimal change disease (MCD) achieved complete remission. In the group with SIPF ≤ 0.45, all patients with MCD achieved complete remission, although eight patients with other histopathological diagnoses did not achieve complete remission. Conclusions Analysis of protein fractions as a substitute for SI may be useful for predicting response to glucocorticoids in patients with nephrotic syndrome.
ISSN:1342-1751
1437-7799
DOI:10.1007/s10157-019-01753-2