Unadjusted and multivariable risk prediction models of composite endpoint of all-cause mortality, AIDS, and SNA events.

Note: Multivariable model includes all covariates in the table. * Biomarkers are log-transformed and standardized to a mean of 0 and standard deviation of 1. A sensitivity analysis restricting to SMART participants to examine the effect of smoking status indicated that smoking significantly predicted mortality or non-AIDS morbidity unadjusted (HR 1.9, 95% CI 1.3–2.7) and adjusted for other covariates (aHR 1.9, 95% CI 1.2–2.9). Adjustment for smoking attenuated the adjusted risk associated with female gender (aHR 0.7, 95% CI 0.4–1.3) and antihypertensive medication use (aHR 1.5, 95% CI 0.9–2.4) but not for age (aHR 1.6, 95% CI 1.2–2.0), IL-6 (aHR 1.3, 95% CI 1.1–1.6) or D-dimer (aHR 1.3, 95% CI 1.1–1.6). Another sensitivity analysis adjusting for history of exposure to PIs, NNRTIs, abacavir, tenofovir, stavudine, zalcitabine, and lamivudine, which were significantly higher among older participants, did not notably alter the magnitude or significance of aHRs from the multivariable model above.