Table 3. Influence of demographic,... | American Society of Hematology

Table 3.

Influence of demographic, lymphoma-specific, and HIV-specific factors on outcome

	Overall survival
Prognostic factors	No.	Univariate HR^*(95% CI)	Multivariate HR†(95% CI)
Risk factor for HIV infection
Intravenous drug use	47‡	1§	1§
Male homosexuality	22	2.41 (1.11-5.23)∥	2.34 (1.07-5.08)∥
Histology
DLBCL	52‡	1§	1§
Burkitt lymphoma	21	2.60 (1.20-5.64)¶	2.24 (1.01-4.97)#
HIV viral load at the end of R-CDE
Undetectable	36‡	1§	1§
Detectable	26	2.39 (1.10-5.18)∥	1.96 (0.88-4.36)^**

	Overall survival
Prognostic factors	No.	Univariate HR^*(95% CI)	Multivariate HR†(95% CI)
Risk factor for HIV infection
Intravenous drug use	47‡	1§	1§
Male homosexuality	22	2.41 (1.11-5.23)∥	2.34 (1.07-5.08)∥
Histology
DLBCL	52‡	1§	1§
Burkitt lymphoma	21	2.60 (1.20-5.64)¶	2.24 (1.01-4.97)#
HIV viral load at the end of R-CDE
Undetectable	36‡	1§	1§
Detectable	26	2.39 (1.10-5.18)∥	1.96 (0.88-4.36)^**

Cox proportional hazards model (HR and 95% CI).

Cox proportional hazards model, including only significant (P ≤ .05) prognostic factors in univariate analysis.

The sum does not add up to the total because of some missing values.

Reference category.

P = .03.

P = .02.

P = .05.

P = .10