Table 4.

Multivariate regression model predicting the rate of renal function loss as determined by the negative eGFR slope (ml/min per 1.73 m² per year)

Variable	Regression Coefficient for Change in Annual Estimated GFR Loss (95% CI)	P Value for Trend
Per increase in log FGF23 (RU/ml)	1.50 (0.40–2.60)	0.008
Per 0.1 mmol/L of calcium	−1.04 (−1.66 to −0.41)	0.001
Per 1 g/24 hr of albuminuria	1.46 (0.85–2.07)	<0.001

In a stepwise regression model, log fibroblast growth factor-23 (FGF23), age, sex, serum albumin, baseline albuminuria, baseline estimated GFR, calcium, phosphate, parathyroid hormone, 25-hydroxyvitamin D, mean arterial BP, body mass index, and the use of angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers were included. Log FGF23, calcium, and albuminuria were retained as significant (adjusted R² = 0.22 for the whole model; P<0.001).The regression coefficients are adjusted for the listed variables. RU, relative units.