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. 2021 Jul 2;8:666319. doi: 10.3389/fmed.2021.666319

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Copyright © 2021 Zhang, Budde, Schmidt, Halleck, Duerr, Naik, Mayrdorfer, Duettmann, Klauschen, Rudolph and Wu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Determinants of proteinuria in multivariable logistic regression analysis (n = 165). Forest plot displaying odds ratios for proteinuria after multivariable logistic regression analysis. The following variables were included in the multivariable model: Peak PRA ≥ 5%, delayed graft function, SBP ≥ 140 mmHg, DBP ≥ 90 mmHg, CNI regimens, use of ACEI/ARB, use of CCB, positive C4d staining, cg score ≥2. SE, standard error; OR, odds ratio; CI, confidence interval; SBP, systolic blood pressure; DBP, diastolic blood pressure; PRA, panel reactive antibody; CCB, calcium channel blocker; CNI, calcineurin inhibitor; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin-receptor blocker.