Skip to main content

Table 3 Multivariable regression model to compare characteristics of individuals tested for HIV after an HIV indicator disease vs. individuals not tested after an HIV indicator disease

From: The potential impact of routine testing of individuals with HIV indicator diseases in order to prevent late HIV diagnosis

Variable

Tested for HIV after indicator disease/Total N = 481 (%) *

MLOR (95%CI)

Median age (min-max)

36 (20–86)

0.99 (0.97-1.01)

Median CD4 (min-max)

416 (2–1458)

1.001 (1–1.002)

Gender

  

    Female

35/51 (68.6%)

1

    Male

323/430 (75.1%)

0.7 (0.3-1.6)

Area of birth

  

    Italy

278/379 (73.4%)

1

    Not Italy

80/102 (78.4%)

1.7 (0.9-3.1)

HIV exposure category

  

    Heterosexual

80/113 (70.8%)

1

    MSM

239/311 (76.8%)

0.7 (0.3-1.3)

    IDU

35/47(74.5%)

0.5 (0.2-1.2)

    Other/unreported

4/10 (40%)

0.2 (0.03-0.8)

Previous negative test

  

    No

93/163 (57.1%)

1

    Yes

248/297 (83.5%)

4.1 (2.5-6.8)

Type of indicator diseases

  

    STI

220/298(73.8%)

1

    Hepatitis

113/143 (79.0%)

1.7 (0.9-3.1)

    Seborrhoeic dermatitis or TB**

25/40 (62.5%)

1.3 (0.6-3.2)

  1. statistically significant MLOR are shown in bold.
  2. * The 23/504 subjects with an HIV indicator disease were excluded from analysis because not all data were available.
  3. ** TB: Tuberculosis.