Table 2.
Summary Statistics of Associations Between Covariates and Estimated Glomerular Filtration Rate Controlled for Age
| Variable | Effecta | Standard Error | P Value |
|---|---|---|---|
| Ageb | –0.50 | 0.16 | <.001 |
| Black race | 13.4 | 3.71 | <.001 |
| Body mass index | –0.35 | 0.04 | .129 |
| Current smoking | 2.3 | 3.11 | .467 |
| Antihypertensive drug use | –8.5 | 2.89 | .003 |
| HIV | 2.2 | 3.40 | .521 |
| Hepatitis C virus | 5.2 | 2.55 | .043 |
| Diabetes | –2.0 | 3.01 | .508 |
| CD4 | <0.01 | <0.01 | .573 |
| CD4 nadir | <0.01 | <0.01 | .615 |
| HIV viral load | <0.01 | <0.01 | .851 |
| Systolic blood pressure | –0.2 | 0.09 | .035 |
| Diastolic blood pressure | –0.1 | 0.13 | .506 |
| Cell-type proportion | |||
| CD8T cell | 48.2 | 15.77 | .002 |
| CD4T cell | 19.0 | 19.79 | .338 |
| Natural killer cell | 29.4 | 23.07 | .203 |
| B cell | 110.6 | 25.71 | <.001 |
| Monocyte | –28.0 | 34.12 | .413 |
| Granulocyte | –41.2 | 9.98 | <.001 |
| Antiretroviral therapy | –0.9 | 2.74 | .751 |
| DNA methylation age | 0.1 | 0.21 | .649 |
Abbreviation: HIV, human immunodeficiency virus.
aEffect is the beta coefficient from the linear regression model.
bThis regression model did not control for chronological age.