Logistic regression analysis for the primary endpoint of WRF.
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In univariable analysis, several candidates were significant predictors. Optimal cutoffs were determined using the value providing optimal sensitivity and specificity balance. Amino-terminal pro-B type natriuretic peptide, NT-proBNP; B type natriuretic peptide, BNP; Estimated glomerular filtration rate, eGFR; Neutrophil gelatinase-associated lipocalin, NGAL, urine kidney injury molecule-1, KIM-1, urine N-acetyl-beta-D-glucosaminidase, NAG; urine Cystatin C, uCyst C.Logistic regression analysis for the primary endpoint of WRF.
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2015-12-02
