Chronic Kidney Disease Epidemiology Collaboration Equation Accuracy in Predicting Peritoneal Dialysis-Delivered Creatinine Clearance

Figures & data

Table 1.  Characteristics of the study patients.

Number of patients	23
Age (median, range), years	66 (32–91)
Time on PD (median, range), months	32 (2–126)
Male/Female	5/18
Residual renal function	16
Primary renal disease
Diabetic nephropathy	6
Chronic glomerulonephritis	6
Nephrosclerosis	3
Polycystic kidney disease	1
Amyloidosis	1
Unknown nephropathy	6

Table 2.  MCC and prediction equations results according to the presence and the volume of RRF.

	MCC	C-G	MDRD-4	MDRD-6	CKD-EPI
All with RRF (n = 16)	9.55 ± 4.10	14.56 ± 4.45	12.35 ± 4.01	10.57 ± 4.12	9.28 ± 3.98
Anuric patients (n = 7)	7.45 ± 3.79	11.15 ± 3.45	9.07 ± 4.45	8.43 ± 3.98	8.12 ± 3.56
RRF > 680 mL/24 h (n = 6)	8.80 ± 3.10	12.70 ± 5.78	10.50 ± 4.60	9.60 ± 3.60	8.78 ± 3.78
RRF < 680 mL/24 h (n = 10)	8.10 ± 3.60	11.10 ± 4.98	9.10 ± 4.10	9.30 ± 2.98	8.34 ± 3.51

Note: All differences were non-significant. Data are given in mL/min/1.73 m².

Figure 1.  GFR-estimating equations’ results compared to MCC.

Figure 2.  Bland–Altman plots of GFR-estimating equations and MCC. The solid lines represent the mean difference and the dashed lines the limits of agreement between the two measurements.