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Published Erratum
. 2017 Sep 18;2(6):1265.
doi: 10.1016/j.ekir.2017.09.002. eCollection 2017 Nov.

Erratum: Afshinnia F, Rajendiran TM, Karnovsky A, et al. Lipidomic Signature of Progression of Chronic Kidney Disease in the Chronic Renal Insufficiency Cohort. Kidney Int Rep. 2016;1:256-268

No authors listed
Published Erratum

Erratum: Afshinnia F, Rajendiran TM, Karnovsky A, et al. Lipidomic Signature of Progression of Chronic Kidney Disease in the Chronic Renal Insufficiency Cohort. Kidney Int Rep. 2016;1:256-268

No authors listed. Kidney Int Rep. .

Abstract

[This corrects the article DOI: 10.1016/j.ekir.2016.08.007.].

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Figures

Figure 3
Figure 3
Odds ratio and 95% confidence interval of progression to end-stage kidney disease according to the FDR-proposed (top panel), RF-proposed (middle panel), and PLS-DA–proposed lipids (bottom panel) by change of each 1 SD in abundance of candidate lipids using (a) the logistic regression model in an unadjusted model, (b) adjusted models by eGFR and other factors (age, sex, race, diabetes, hypertension, and congestive heart failure), (c) adjusted models by the urine protein-to-creatinine ratio and other factors, and (d) adjusted models by eGFR, urine protein-to-creatinine ratio, and other factors in the training set. DAG, diacylglycerol; eGFR, estimated glomerular filtration rate; FDR, false discovery rate; MAG, monoacylglycerol; PC, phosphatidylcholine; PLS-DA, partial least square-discriminant analysis; RF, random forest.

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