Table 3.

Final models with key CD4 count and HIV RNA level predictors for CNS-NHL, DLBCL, and BL risk, NA-ACCORD, 1996–2014.

Non-Hodgkin lymphoma (NHL) subtype/Key predictors	NHL cases	HR (95% CI)a
Central nervous system NHL (CNS-NHL)
Recent CD4 count (i.e., 180 d lag), cells per μL
<50	44	426·3 (58·1–3126·4)
50–<100	7	71·9 (8·8– 588·1)
100–<200	6	21·0 (2·5–175·3)
200–<350	4	6·8 (0·8–60·6)
350–<500	5	8·2 (1·0–70·6)
≥500	1	1·0 (ref)
Global p-value		<0·0001
Per 50 cells per μL		0·50 (0·44–0·58)
P-trend		<0·0001
Diffuse large B-cell lymphoma (DLBCL)
Recent CD4 count (i.e., 180 d lag), cells per μL
<50	23	2·4 (1·4–4·2)
50–<100	25	2·9 (1·7–5·0)
100–<200	34	1·7 (1·1–2·7)
200–<350	42	1·2 (0·8–1·8)
350–<500	37	1·1 (0·7–1·7)
≥500	52	1·0 (ref)
Global p-value		0·0012
Per 50 cells per μL		0·95 (0·92–0·98)
P-trend		0·0039
Late HIV RNA level average, copies per mLb
≤500	46	1·0 (ref)
>500–<10,000	43	1·8 (1·2–2·8)
10,000–<100,000	84	3·9 (2·5–5·8)
≥100,000	40	7·5 (4·5–12·7)
Global p-value		<0·0001
Per log10 copies per mL		1·94 (1·67–2·25)
P-trend		<0·0001
Burkitt lymphoma (BL)
Late proportion of time HIV RNA >500 copies per mLc
0·00	2	1·0 (ref)
>0·00–0·25	0	--
>0·25–0·50	5	15·0 (2·9–78·4)
>0·50–0·75	4	13·8 (2·5–77·2)
>0·75–<1·00	10	36·0 (7·6–170·1)
1·00	16	41·1 (9·1–186·6)
Global p-value		<0·0001
Per 20% of time HIV RNA >500 copies per mL		2·01 (1·62–2·49)
P-trend		<0·0001

HR=hazard ratio. 95% CI=95% confidence interval.

^aFrom subtype-specific cohort-stratified Cox model with key predictor(s) as covariates and adjusted for sex, race/ethnicity, and baseline age and calendar period. CNS-NHL model among all persons (N= 102,131; number of CNS-NHL cases= 67). DLBCL and BL models among persons with follow-up >1260 days (N= 68,585; number of DLBCL cases= 213; number of BL cases= 37).

^bHIV RNA average during the late moving window (i.e., from 1260 to 180 days in the past).

^cProportion of time HIV RNA >500 copies per mL during the late moving window (i.e., from 1260 to 180 days in the past).