Figures & data
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Table 1. Baseline characteristics of subjects included according to with or without RAS.
Table 2. The association of ALB, lymphocyte count, fibrinogen, SP, BUN and NLR with low-grade RAS in female patients with CKD.
Figure 1. The proportion of low-grade RAS in ALB, lymphocyte count, fibrinogen, SP,BUN and NLR tertiles.(A) The proportion of low-grade RAS in ALB tertiles. (B) The proportion of low-grade RAS in lymphocyte count tertiles. (C) The proportion of low-grade RAS in fibrinogen tertiles. (D) The proportion of low-grade RAS in SP tertiles. (E) The proportion of low-grade RAS in BUN tertiles. (F) The proportion of low-grade RAS in NLR tertiles.
![Figure 1. The proportion of low-grade RAS in ALB, lymphocyte count, fibrinogen, SP,BUN and NLR tertiles.(A) The proportion of low-grade RAS in ALB tertiles. (B) The proportion of low-grade RAS in lymphocyte count tertiles. (C) The proportion of low-grade RAS in fibrinogen tertiles. (D) The proportion of low-grade RAS in SP tertiles. (E) The proportion of low-grade RAS in BUN tertiles. (F) The proportion of low-grade RAS in NLR tertiles.](/cms/asset/368a5d5f-6189-4744-b209-7bcceb2082e5/iceh_a_2175849_f0001_b.gif)
Figure 2. Logistic regression estimation of the effect of ALB, lymphocyte count, fibrinogen, SP, BUN and NLR on low-grade renal artery stenosis. (A) Multinomial-adjusted ORs for low-grade RAS according to ALB tertiles; the first tertile was used as a reference. (B) Multinomial-adjusted ORs for low-grade RAS according to lymphocyte tertiles; the first tertile was used as a reference. (C) Multinomial-adjusted ORs for low-grade RAS according to fibrinogen tertiles; the first tertile was used as a reference. (D) Multinomial-adjusted ORs for low-grade RAS according to SP tertiles; the first tertile was used as a reference. (E) Multinomial-adjusted ORs for low-grade RAS according to BUN tertiles; the first tertile was used as a reference.(F) Multinomial-adjusted ORs for low-grade RAS according to NLR tertiles; the first tertile was used as a reference.
![Figure 2. Logistic regression estimation of the effect of ALB, lymphocyte count, fibrinogen, SP, BUN and NLR on low-grade renal artery stenosis. (A) Multinomial-adjusted ORs for low-grade RAS according to ALB tertiles; the first tertile was used as a reference. (B) Multinomial-adjusted ORs for low-grade RAS according to lymphocyte tertiles; the first tertile was used as a reference. (C) Multinomial-adjusted ORs for low-grade RAS according to fibrinogen tertiles; the first tertile was used as a reference. (D) Multinomial-adjusted ORs for low-grade RAS according to SP tertiles; the first tertile was used as a reference. (E) Multinomial-adjusted ORs for low-grade RAS according to BUN tertiles; the first tertile was used as a reference.(F) Multinomial-adjusted ORs for low-grade RAS according to NLR tertiles; the first tertile was used as a reference.](/cms/asset/02efab23-58e0-4241-a888-79fa882d9fba/iceh_a_2175849_f0002_b.gif)
Figure 3. ROC curve of the diagnostic accuracy of lymphocyte count, NLR, ALB, eGFR, UBCR, and FeNa in low-grade renal artery stenosis.
![Figure 3. ROC curve of the diagnostic accuracy of lymphocyte count, NLR, ALB, eGFR, UBCR, and FeNa in low-grade renal artery stenosis.](/cms/asset/0eed0067-1459-4a7e-b932-92913eaf1126/iceh_a_2175849_f0003_b.gif)
Table 3. The outcome of ROC of the following variables predicting low-grade renal artery stenosis.