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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.