Article Figures & Data
Figures
- Fig. 1.
Predictive time to bacterial infection based on baseline Cox model by CD19%.
- Fig. 2.
Predictive time to bacterial infection based on baseline Cox model by IgG level.
- Fig. 3.
Predictive time to bacterial infection based on baseline Cox model by CD4 level.
- Fig. 4.
Predictive time to bacterial infection based on landmark Cox model by CD4% 6-month slope and CD4% baseline level. From top to bottom, the CD4% descriptions are as follows: increasing, moderate; increasing, high; stable, high; decreasing, high; stable, moderate; decreasing, moderate; increasing, low; stable, low; and decreasing, low.
Tables
- Table 1.
Normal ranges for IgG and IgA levels and CD19% by age
Age (mo) IgG level (mg/dl) IgA level (mg/dl) CD19% 0–1 250–1,000 5–25 4–6 220–650 25–70 6–12 350–1,000 25–125 12–24 750–1,050 25–175 24–48 500–1,400 35–330 48–96 650–1,500 35–400 96–168 750–1,650 75–500 >168 750–1,775 80–550 2–4 25–35 4–8 24–34 8–12 21–32 12–30 18–28 >30 18–25 - Table 3.
Summary statistics for continuous covariatesa
Variable Baseline analysis Landmark analysis MIN 33.3% 66.7% MAX Median MIN 33.3% 66.7% MAX Median Age (mo) 2.9 21.0 60.0 218.4 37.1 3 21.4 60.4 218.4 38.2 CD19% 0 15 24 80 19 1 15.5 24 76 19 CD19% slope NA NA NA NA NA −2.5 −0.1 0.1 3.2 0.0 CD4% 0 16 26.5 66 21.5 0 17 27.5 54.4 22.3 CD4% slope NA NA NA NA NA −1.1 −0.04 0.2 1.9 0.04 CD8% 2 35.5 48 86 41 4.5 35.5 47 86 40.8 CD8% slope NA NA NA NA NA −1.6 −0.2 0.1 1.5 −0.03 Lym. count 20 284.4 1,058 12,792 455 19.6 325 1,599 12,640 569.3 Lym. slope NA NA NA NA NA −276 −7.1 0.2 292 −1.9 IgG level (mg/dl) 61 1,810 2,630 8,450 2,180 124 1,868 2,720 8,190 2,230 IgG slope (mg/dl) NA NA NA NA NA −250 −17 1.1 207.6 −8.4 IgA level (mg/dl) 1 113 255 2,720 174 7 116 257 2,720 175 IgA slope (mg/dl) NA NA NA NA NA −159.4 −1.0 0.7 45.1 −2.0 ↵a The lower (33.3%) and middle (66.7%) tertiles are given. Abbreviations: MIN, minimum; MAX, maximum; Lym., lymphocyte; NA, not available.
- Table 4.
Summary statistics for categorical covariates
Covariate Baseline analysisa Landmark analysisb Total (%) No. of infections (%) Total (%) No. of infections (%) Male 628 (50.6) 242 (50.4) 355 (51.0) 109 (52.2) Female 613 (49.4) 238 (49.6) 341 (49.0) 100 (47.9) Prior ZDV 392 (31.6) 166 (34.6) 132 (19.0) 50 (23.9) Prior infection 520 (41.9) 195 (40.6) 303 (43.5) 61 (29.2) Prior IVIG 354 (28.5) 152 (31.7) 170 (24.4) 59 (28.2) ACTG 051 161 (13.0) 92 (19.2) 81 (11.6) 25 (12.0) ACTG 128 268 (21.6) 111 (23.1) 197 (28.3) 56 (26.8) ACTG 138 49 (3.9) 34 (7.1) 17 (2.4) 9 (4.3) ACTG 144 96 (7.7) 56 (11.7) 51 (7.3) 20 (9.6) ACTG 152 522 (42.1) 163 (34.0) 346 (49.7) 99 (47.4) ACTG 190 145 (11.7) 24 (5.0) 4 (0.6) 0 (0.0) - Table 5.
Distributions of infection times and follow-up times
Time interval (mo) Baseline analysis Landmark analysis No. of infections No. of off-study subjects without infection Probability of infection-free outcome (SE) No. of infections No. of off-study subjects without infection Probability of infection-free outcome (SE) 0–6 203 55 0.836 (0.010) NAa NA 6–12 95 87 0.756 (0.012) 70 28 0.899 (0.011) 12–18 66 89 0.693 (0.013) 47 32 0.829 (0.014) 18–24 42 95 0.648 (0.014) 31 73 0.779 (0.016) 24–30 43 137 0.593 (0.015) 33 122 0.717 (0.018) 30–36 18 142 0.561 (0.016) 17 102 0.670 (0.020) 36–42 9 101 0.531 (0.018) 9 91 0.628 (0.023) 42–48 4 51 0.495 (0.024) 2 37 0.597 (0.031) 48–54 0 4 0 2 ↵a NA, not available.
- Table 6.
Hazard of bacterial infection for subjects with high IgG levels and low CD19%a
IgG level-CD19% combination P Hazard ratio Lower limit Upper limit Low, low <0.01 0.50b 0.35 0.73 Low, moderate 0.71 0.93 0.63 1.38 Low, high 0.34 0.83 0.56 1.22 Moderate, low 0.06 0.70 0.49 1.01 Moderate, moderate 0.24 1.30 0.84 2.01 Moderate, high 0.46 1.16 0.78 1.72 High, moderate 0.25 0.81 0.56 1.16 High, high 0.09 0.72 0.49 1.06 ↵a Relative to all other IgG level-CD19% combinations in baseline analysis. (In this and subsequent tables, descriptors are given in the same order as the parameters are given atop the first column.) The limits given are 95% confidence intervals.
↵b For example, an individual with a high IgG level and a low CD19% has half the hazard for a bacterial infection of an individual with a low IgG level and a low CD19%.
- Table 7.
Hazard of bacterial infection for subjects with high baseline CD19% and increasing CD19%a
CD19%-CD19% slope combination P Hazard ratio Lower limit Upper limit Low, decreasing <0.01 0.30 0.15 0.59 Moderate, decreasing 0.02 0.50 0.28 0.91 High, decreasing <0.01 0.50 0.33 0.74 Low, stable 0.03 0.52 0.29 0.93 Moderate, stable 0.59 0.86 0.50 1.48 High, stable 0.41 0.85 0.58 1.24 Low, increasing 0.02 0.61 0.40 0.93 Moderate, increasing 0.96 1.01 0.69 1.49 ↵a Relative to all other CD19%-CD19% slope combinations. See Table 6 for details.
- Table 8.
Hazard of bacterial infection for subjects with high baseline IgG levels and increasing IgG levelsa
IgG level-IgG slope combination P Hazard ratio Lower limit Upper limit Low, decreasing 0.71 0.88 0.45 1.72 Moderate, decreasing 0.57 1.18 0.67 2.07 High, decreasing 0.63 1.10 0.74 1.65 Low, stable 0.99 0.99 0.57 1.75 Moderate, stable 0.25 1.33 0.82 2.17 High, stable 0.23 1.25 0.87 1.79 Low, increasing 0.27 0.78 0.53 1.20 Moderate, increasing 0.72 1.07 0.75 1.52 ↵a Relative to all other IgG level-IgG slope combinations. See Table 6 for details.
- Table 9.
Hazard of bacterial infection for subjects with increasing CD19% and increasing IgG levelsa
CD19% slope-IgG slope combination P Hazard ratio Lower limit Upper limit Decreasing, decreasing 0.43 1.34 0.65 2.79 Decreasing, stable 0.52 1.24 0.64 2.41 Decreasing, increasing 0.76 1.12 0.54 2.34 Stable, decreasing <0.01 4.65 2.11 10.23 Stable, stable 0.01 3.59 1.41 9.12 Stable, increasing <0.01 3.88 1.67 9.01 Increasing, decreasing 0.01 2.72 1.27 5.79 Increasing, stable 0.04 2.51 1.06 5.97 ↵a Relative to all other CD19% slope-IgG slope combinations. Slopes are categorized according to whether they predict a 30% change from baseline at 6 months.
