. 2014 Apr 23;9(4):e94768. doi: 10.1371/journal.pone.0094768

Table 5. Cox regression multivariate models for ADC and NADC specific cancers.

Variable	Categories	ADCs						NADCs
		CERVICAL CA		KS		NHL		LIVER CA		LUNG CA		BREAST CA		HL
		HR (95%CI)	P-value	HR (95%CI)	P-value	HR (95%CI)	P-value	HR 95%CI)	P-value	HR (95%CI)	P-value	HR (95%CI)	P-value	HR (95%CI)	P-value
Gender	Male vs Female	..	..	0.8 (0.26–2.54)	0.725	1.2 (0.68–2.10)	0.525	1.2 (0.81–1.84)	0.340	..	..	1.9 (0.13–27.75)	0.634	0.4 (0.11–1.09)	0.072
Age, years
	18–34	1Rif	-	1Rif	-	1Rif	-	..	-	1Rif	-	1Rif	-	1Rif	-
	35–49	1.2 (0.13–11.23)	0.874	1.1 (0.48–2.75)	0.746	1.4 (0.70–2.78)	0.337	1Rif		0.4 (0.05–3.69)	0.450	0.3 (0.02–3.41)	0.327	1.6 (0.44–5.56)	0.486
	50-max	..	..	1.50 (0.51–4.46)	0.462	1.4 (0.66–3.09)	0.365	2.1 (1.05–4.21)	0.036	0.2(0.02–1.61)	0.120	..	..	0.4 (0.04–4.18)	0.458
CARTTherapy	Yes vs No	..	..	0.3 (0.15–0.78)	0.011	0.6 (0.39–1.06)	0.086	1.5 (0.59–3.66)	0.398	..	..	..	..	0.5 (0.12–1.74)	0.258
CD4+ count at diagnosis, cell/mm³	0–199 vs 200-max	13.0 (1.36–124.10)	0.026	4.0 (1.73–9.42)	0.001	2.2 (1.31–3.10)	0.001	2.0 (0.99–3.96)	0.050	..	..	0.8 (0.06–8.95)	0.821	2.6 (1.01–6.44)	0.046
IVDU	Yes vs No	..	..	3.2 (1.53–6.55)	0.002	..	..		..	1.6 (1.13–2.33)	0.008	2.1 (0.18–24.64)	0.559	..	..
HIV RNA at diagnosis	Positive vs Negative	..	..	..	..	1.7 (0.96–3.00)	0.071		..		..	..	..	..	..

Note: ADCs: AIDS-defining cancers, NADCs: Non-AIDS-defining cancers, IVDU: injection drug users, cART: combined antiretroviral therapy, CA: cancer, KS: Kaposi Sarcoma; NHL: non Hodgkin lymphoma; HL: Hodgkin lymphoma; HR: Hazard ratio; CI: confidence interval.

HRs and 95%CIs from the most parsimonious Cox models for ADC and NADC specific cancers. We used the stepwise backward procedure to eliminate non-significant variables. The “..” denotes the variables that were eliminated from the models in the process of stepwise backwards elimination, and factors that were not evaluable for some cancers.