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. 2014 May 14;28(9):1351–1356. doi: 10.1097/QAD.0000000000000224

Table 1.

Factors associated with the annualised change in viral load and CD4+ cell count.

Model parameter Estimate 95% CI P
Viral load model Intercepta 0.093 0.086–0.10 <0.001
Viral load at t−1 (per 1 log10 copies/ml higher) −0.026 −0.031 to −0.021 <0.001
CD4+ cell count at t0 (per 100 cells/μl higher) −0.004 −0.007 to −0.002 <0.001
Age at t0 (per 10 years higher) 0.022 0.017–0.027 <0.001
Female 0.004 −0.006 to 0.014 0.42
Black race −0.019 −0.04–0.002 0.07
Transmission by IDU −0.011 −0.024 to 0.003 0.12
CD4+ cell count model Interceptb −69.0 −71.8 to −66.2 <0.001
CD4+ cell count at t−1 (per 100 cells/μl higher) −17.0 −18.1 to −15.9 <0.001
Viral load at t0 (per 1 log10 copies/ml higher) −37.6 −39.6 to −35.7 <0.001
Age at t0 (per 10 years higher) −1.7 −3.3 to −0.03 0.046
Female −0.8 −4.2 to 2.7 0.67
Black race 2.3 −3.8 to 8.3 0.48
Transmission by IDU 0.7 −4.6 to 6.0 0.80

Annualized change in viral load (copies/ml, log10 scale) and CD4+ cell count (cells/μl, absolute scale) was defined as [(measurement at t1 – measurement at t0) × 365]/(t1 – t0). All continuous variables were centred, see a,bbelow), estimate sizes and 95% confidence intervals (CI) from a multivariable linear regression model. IDU, injecting drug use.

aThe intercept in the viral load model is the annual change in viral load for an individual with viral load at t−1 = 4 log10 copies/ml, CD4+ cell count at t0 = 500 cells/μl, age at t0 = 35 years, male, white race and transmission mode other than by IDU.

bThe intercept in the CD4+ cell count model is the annual change in CD4+ cell count for an individual with viral load at t0 = 4 log10 copies/ml, CD4+ cell count at t-1 = 500 cells/μl, age at t0 = 35 years, male, white race and transmission mode other than by IDU.

Other comments: The reference race group is white race. All other people who were not classified as black or white race were also included in the model but in a separate category (not shown).