Table 2.
Linear regression with SCr as the dependent variablea
| Variable | Parameter Estimate | 95% CI |
|---|---|---|
| Black | 1.73500 | 1.56000 to 1.91000 |
| Age | −0.04480 | −0.05080 to −0.03870 |
| Male | 0.936 | 0.75500 to 1.11600 |
| Diabetes | −0.90000 | −1.10600 to −0.69400 |
| Vintage | 0.12600 | 0.10300 to 0.14900 |
| Albumin | 1.44700 | 1.20200 to 1.69200 |
| Phosphorus | 0.29000 | 0.23200 to 0.34400 |
| Glucose | −0.00530 | −0.00671 to −0.00389 |
| BUN | 0.051300 | 0.04620 to 0.05640 |
| Transferrin | −0.00423 | −0.00612 to −0.00234 |
| Weight | 0.01810 | 0.01270 to 0.02350 |
| Reactance | 0.03340 | 0.02660 to 0.04020 |
| Resistance | −0.00293 | −0.00399 to −0.00134 |
a
Effects estimated as age (per year), vintage (per year), albumin (per g/dl), phosphorus (per mg/dl), glucose (per mg/dl), BUN (per mg/dl), transferrin (per mg/dl), weight (per kg), reactance (per Ω), and resistance (per Ω). CI, confidence interval; SCr, serum creatinine.