HIV infection in Xi’an, China: epidemic characterization, risk factors to false positives and potential utility of the sample-to-cutoff index to identify true positives using Architect HIV Ag/Ab combo

Table 3 Binary Logistic Analysis for the risk factors of HIV false positives

Characteristics	False-positive		Crude			Adjusted
Characteristics	Yes	No	OR	95%CI	p-value	OR	95%CI	p-value
Sex
Male	61	89	1			1
Female	39	28	2.03	1.13–3.65	0.017*	2.03	0.9–4.57	0.09
Age, years
─ 40	20	86	1			1
40–60	31	27	5.44	2.64–11.22	0.000	6.9	3.02–15.78	0.000***
≥ 60	49	4	36.25	13.65–96.24	0.000	46.85	16.28–134.81	0.000***
Ethnicity
Han	99	115	1			1
Minority	1	2	1.72	0.15–19.28	0.659	0.71	0.06–9.09	0.794
Comorbidity
Renal diseases
No	95	115	1			1
Yes	5	2	3.03	0.57–15.95	0.192	1.47	0.13–17.28	0.761
HBV infection
No	95	98	1			1
Yes	5	2	3.03	0.57–15.95	0.192	1.77	0.13–24.56	0.670
Malignancy
No	83	115	1			1
Yes	17	2	11.78	2.65–52.37	0.001***	9	1.61–50.4	0.012*
Pregnancy
No	94	116	1			1
Yes	6	1	6.11	0.70–53.16	0.101	26.58	2.75–256.6	0.005*
Autoimmune diseases
No	98	117	1			1
Yes	2	0	4.83	0.53–43.97	0.162	9.35	0.57–152.74	0.117

Notes: *Statistically significant association, P < 0.05; ***very strong statistically significant association, P < 0.001

ISSN: 2047-2994