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. 2015 Mar 25;10(3):e0121693. doi: 10.1371/journal.pone.0121693

Table 5. Optimal cut-off EGFR values in ROC curves with corresponding characteristics and associations with plaque in black patients with RA.

EGFR Cut-off value Sensitivity (%) Specificity (%) PPV (%) NPV (%) OR (95% CI) * p *
Jelliffe 64 45 82 24 72 3.61 (1.43–9.11) 0.007
C-G ACBW 85 60 70 34 75 3.36 (1.46–7.75) 0.004
C-G IBW 54 42 88 22 72 2.22 (0.95–5.21) 0.07
C-G ADBW 68 55 81 29 75 2.72 (1.19–6.20) 0.02
C-G LBW 49 58 79 30 76 3.31 (1.45–7.55) 0.005
C-G NBW 73 45 84 24 72 4.00 (1.57–10.17) 0.004
Salazar-Corcoran 79 55 81 29 75 2.72 (1.19–6.22) 0.02
MDRD 64 35 91 18 70 2.49 (1.00–6.18) 0.05
CKD-EPI 82 42 91 21 73 2.22 (0.95–5.22) 0.07

Significant associations are shown in bold.

EGFR = estimated glomerular filtration rate, ROC = receiver operator characteristic, RA = rheumatoid arthritis, PPV = positive predictive value, NPV = negative predictive value, OR = odds ratio, CI = confidence interval, C-G = Cockcroft-Gault, AWB = actual body weight, IBW = ideal body weight, ADBW = adjusted body weight, LBW = lean body weight, NBW = no body weight, MDRD = Modification of Diet in Renal Disease, CKD-EPI = Chronic Kidney Disease Epidemiology Collaboration.

*Associations were assessed in modified Framingham score adjusted logistic regression models.