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. 2015 Jun 1;93(8):521–528. doi: 10.2471/BLT.14.147892

Table 3. Influence of selected characteristics of ANRS 1220 Primo-CI cohort participants on the CD4+ cell count at seroconversion and its slope, as estimated from the linear mixed model.

Effect Coefficient (95% CI) P
Fixed effect
Square-root CD4+ cell count intercept
Baseline 12.035 (11.358 to 12.712) < 0.001a
CD4+ cell count at cohort inclusion (per 1 cell/μL increase) 0.020 (0.019 to 0.021) < 0.001a
Time from HIV seroconversion to cohort inclusion (per one-year increase) 0.973 (0.672 to 1.273) < 0.001a
Square-root CD4+ cell count slope (cells/μL decrease per year)
Baseline −0.676 (−0.972 to −0.379) < 0.001a
CD4+ cell count at cohort inclusion (per 1 cell/μL increase) −0.001 (−0.001 to −0.000) 0.009a
Time from HIV seroconversion to cohort inclusion (per one-year increase) −0.065 (−0.186 to 0.056) 0.292a
Random effect
Intercept variance 2.007 (1.390 to 2.898) < 0.001b
Slope variance 0.525 (0.394 to 0.701)
Covariance between intercept and slope −0.165 (−0.430 to 0.101)

CI: confidence interval; HIV: human immunodeficiency virus.

a Wald test.

b The likelihood ratio test rejected the null hypothesis that all coefficients were simultaneously equal to 0.

Note: The following variables: age at seroconversion, gender, CD4+ cell count at cohort inclusion and time from seroconversion to cohort inclusion, were initially included in the multivariable analysis. We used a backward stepwise selection procedure in the final model to retain only those covariates significantly associated (P < 0.05) with the intercept and slope.