Table-3.
Adjusted Analysis* | AIC | ||||
---|---|---|---|---|---|
Predictors | HR | p | p for trend | 95%CI | |
Latest CD4 per log2 rise(i.e. doubling) | 0.73 | <0.001 | 0.62–.86 | 3000.46 | |
Latest CD4>500 | ref | ||||
350–500 | 0.79 | 0.246 | 0.001 | 0.53–1.17 | 2997.93 |
200–350 | 1.20 | 0.371 | 0.80–1.79 | ||
50–200 | 2.11 | 0.003 | 1.29–3.45 | ||
<50 | 4.81 | 0.001 | 1.89–12.25 | ||
Latest CD4 per 100 cells rise | 0.93 | 0.073 | 0.86–1.00 | 3009.88 | |
Baseline CD4 per 100cell rise | 0.97 | 0.573 | 0.87–1.07 | 3012.93 | |
Latest CD% >25 | ref | ||||
CD4% 14–25 | 1.26 | 0.162 | 0.161 | 0.90–1.76 | 3013.33 |
CD% <14 | 1.49 | 0.072 | 0.96–2.32 | ||
Nadir CD4 count per 100 rise | 0.93 | 0.286 | 0.81–1.06 | 3011.62 | |
CD4 slope over 3 consecutive visits | |||||
>0 | ref | ||||
<=0 | 0.95 | 0.745 | 0.413 | 0.72–1.25 | 3008.02 |
CD4 slope over 7 consecutive visits | |||||
±10 (i.e. Plateau) | ref | ||||
<-10 cells/mm3 per month | 1.25 | 0.500 | 0.345 | 0.64–2.43 | 3016.04 |
>10 cells/mm3 per month | 1.08 | 0.784 | 0.62–1.88 | ||
Time spent (per year) with CD4<200 | 1.14 | 0.015 | 1.02–1.27 | 3007.72 | |
Time spent (per year) with CD4<100 | 1.30 | 0.002 | 1.10–1.53 | 3005.93 | |
Time spent (per year) with CD4<50 | 1.80 | 0.030 | 1.05–3.08 | 3010.03 | |
Effect of addition of significant CD4+ metrics** | |||||
Model1 | |||||
Time spent (per year) with CD4<200 | 1.04 | 0.453 | 0.92–1.18 | ||
Model2 | |||||
Time spent (per year) with CD4<100 | 1.16 | 0.129 | 0.95–1.41 | ||
Model3 | |||||
Time spent (per year) with CD4<50 | 1.29 | 0.416 | 0.69–2.38 |
CD4= CD4+ T-cells/mm3, unless otherwise stated.
Stratified by trial and adjusted for gender, age, prior aids at baseline, ART duration at baseline, current ART class, region, race, HIV RNA (as time-updated variable). AIC= Akaike information criteria.
Each model is the adjusted model for log2 rise in CD4+ (highlighted above) after addition of each of the significant CD4+ metrics above. Log2 rise in CD4+ remained statistically significant in all models (1–3) at p<0.004.