Table 5.

OPG (ln) as the dependent variable and correlations with potential independent variables (univariate and multiple linear regression analyses)a

Independent VariablesLinear RegressionMultiple Linear Regression
βCorrelation (r)PβSE (β )P
Age0.0140.55<0.0010.0090.002<0.001
Creatinine clearance−0.0100.45<0.001−0.0040.0020.006
hsCRP (ln)0.1010.35<0.0010.0690.019<0.001
CsA (daily dose)−0.0010.32<0.001−0.00030.00020.165
New-onset PTDM0.2450.240.0010.0330.0660.613
Active CMV infection0.1870.230.0030.0110.0590.851
Pretransplantation CVD0.1970.180.018−0.0690.0770.366
Total steroid dose0.0530.160.0330.0270.0220.210
Nephrosclerosis (cause renal failure)0.1880.150.0450.1140.0800.158
  • a The multiple linear regression model explains 42% of the variation in serum OPG (ln); R2 = 0.42. The partial correlation coefficients/squared partial correlations for age = 0.321/0.10, creatinine clearance = −0.219/0.05, and hsCRP = 0.278/0.08 suggest that these variables independently explain 10, 5, and 8% of the variation in OPG (ln), respectively. hsCRP, high-sensitivity C-reactive protein; PTDM, posttransplantation diabetes; CVD, cardiovascular disease.