Table 3.

Regression model predicting structural disease progression (TKV) from baseline parameters

Parameter	TKV Slope (R²; ml/yr)
	0.58			0.40
	b^a	SE	P	b^a	SE	P
Male gender	1.0	14.3	NS	−8.0	17.0	NS
Age (yr)	−0.58	0.68	NS	0.69	0.78	NS
BMI	0.14	1.04	NS	0.41	1.23	NS
Hypertension	2.8	10.9	NS	22.1	12.5	NS
MAP (mmHg)	−0.59	0.46	NS	−0.28	0.54	NS
Log 10 TKV (ml)	168	25	<0.001	—	—	—
GFR (ml/min per 1.73 m²)	0.35	0.25	NS	0.35	0.29	NS
RBF (ml/min per 1.73 m²)	−0.06	0.03	0.038	−0.09	0.03	0.004
Serum uric acid (mg/dl)	4.56	5.49	NS	7.97	6.51	NS
Serum HDL cholesterol (mg/dl)	−0.51	0.47	NS	−0.67	0.56	NS
Serum LDL cholesterol (mg/dl)	0.12	0.14	NS	0.11	0.17	NS
Urine volume (L)	2.40	4.74	NS	0.6	5.6	NS
UNaE (mEq/24 h)	0.18	0.08	0.023	0.26	0.09	0.005
Log 10 UAE (mg/24 h)	12.2	11.9	NS	46.7	12.8	<0.001
Protein intake (g/24 h)	−0.22	0.29	NS	−0.07	0.34	NS

↵^a Slopes per unit change in baseline parameters. For example, a lower baseline RBF by 100 ml/min per 1.73 m² predicts a steeper increase in the slope of TKV by 6 (with TKV included as a regressor) or 9 ml/yr (without TKV included as a regressor).