Table 3.
Multivariable predictors of proteinuria and creatinine clearance less than 90mL/min in subjects enrolled in 384 and A5095/ALLRT.
| ≥1+ PROTEINURIA | ||||||
|---|---|---|---|---|---|---|
| Variable | ACTG 384 Study Group | ACTG A5095/ALLRT Study Group | ||||
| Model 1a | Model 2b | Modelc | ||||
| OR (95% CI) | P | OR (95% CI) | P | OR (95% CI) | P | |
| % CD8+/CD38+/HLA-DR+ cells (per 5 percentage points) | 1.15 (1.04,1.29) | 0.009 | 1.15 (1.03, 1.28) | 0.012 | 1.03 (0.93, 1.14) | 0.78 |
| CD4 (per 10 cells/μL) | 0.98 (0.96,1.0) | 0.056 | -- | -- | ||
| Log10 HIV-1 RNA/mL | 1.21 (0.81, 1.83) | 0.34 | 2.87 (1.66, 4.95) | 0.0001 | ||
| Hemoglobin (per 5 g/dL) | 0.11 (0.03, 0.37) | <0.001 | 0.083 (0.026, 0.27) | <0.0001 | ||
| Black, non-Hispanicd | 2.37 (1.14, 4.95) | 0.021 | 2.28 (1.08, 4.80) | 0.030 | ||
| White, non-Hispanice | -- | -- | -- | -- | 0.22 (0.09, 0.52) | 0.0007 |
| CREATININE CLEARANCE <90mL/min | ||||
|---|---|---|---|---|
| Variable | ACTG 384 Study Groupf | ACTG A5095/ALLRT Study Groupg | ||
| OR (95% CI) | P | OR (95% CI) | P | |
| % CD8+/CD38+/HLA-DR+ cells (per 5 percentage points) | 1.08 (1.01, 1.15) | 0.024 | 0.99 (0.92, 1.07) | 0.80 |
| Black, non-Hispanicd | 1.69 (1.10, 2.61) | 0.018 | -- | -- |
| Hemoglobin (per 5 g/dL) | 0.45 (0.24, 0.86) | 0.015 | -- | -- |
| CD4 (per 10 cells/μL) | -- | -- | 0.98 (0.97, 1.00) | 0.009 |
| Height (per 10cm) | -- | -- | 0.44 (0.32, 0.59) | <0.0001 |
NOTE. Dashed lines indicate this variable was not significantly associated with either proteinuria or creatinine clearance <90mL/min in univariable or bivariable models and, therefore, was not included in the multivariable models. Other variables considered in either or both of these models included HIV-1 viral load, sex, age, weight, height, body mass index, region of enrollment, history of hypertension, history of diabetes mellitus, history of viral hepatitis co-infection (either hepatitis B or hepatitis C), dipstick proteinuria, and creatinine clearance. OR, odds ratio; CI, confidence interval.
Predicted 80.2% of the variability in proteinuria.
Predicted 79.6% of the variability in proteinuria.
Predicted 71.4% of the variability in proteinuria.
Compared to White, non-Hispanic and Hispanic.
Compared to Black, non-Hispanic and Hispanic.
Model for ACTG 384 predicted 63.1% of the variability in creatinine clearance.
Model for ACTG 5095 predicted 73.0% of the variability in creatinine clearance.