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Table 2 Logistic regression for associations between predictors and outcomes

From: Non-AIDS complexity amongst patients living with HIV in Sydney: risk factors and health outcomes

  OR (95% CI) p value L 95% CI U 95% CI Confounders
Last CD4
 CD4 nadir 3.13 (1.62–6.05) 0.001 1.62 6.05 Crude
 ART adherence 3.3 0.001 1.59 6.87 Crude
 Mental health score 1.35 0.081 0.96 1.88 Social issue score, CALD
 BMI < 20 2.61 0.062 0.95 7.15 ARV adherence
Genotypic resistance
 Virological failure 421.33 0.001 47.7 3721.87 Crude
 Social issue score 2.61 0.001 1.48 4.59 CALD
 BMI < 20 6.25 0.012 1.49 26.24 Crude
 ART adherence 6.64 0.001 2.38 18.53 Crude
Hospital admission
 Co-morbidity score 1.58 0.044 1.01 2.46 Medicare eligibility, mental health score, CALD, social issue score, ART adherence, BMI > 30
 Social issue score 1.72 0.018 1.1 2.7 ART adherence, CALD, mental health score
 Age 1.04 0.03 1 1.07 Crude
 CALD 0.31 0.008 0.13 0.74 Crude
 Mental health score 1.79 0.003 1.22 2.62 CALD
Poor ART adherence
 CD4 nadir 2.15 0.064 0.96 4.82 Crude
 Virological failure 12.75 0.001 5.1 31.9 Crude
 BMI < 20 2.65 0.077 0.9 7.81 Social
 Mental health score 2.34 0.001 1.52 3.59 CALD, social issue score
Comorbidity scorea
 CD4 nadir 2.28 0.005 1.28 4.05 ART adherence
 Social issue score 1.69 0.001 1.24 2.3 CALD, mental health score
 Medicare eligibility 2.21 0.007 1.24 3.95 CALD
 Virological failure 3.15 0.006 1.39 7.13 ART adherence
 BMI > 30 3.59 0.002 1.59 8.11 Social issue score, mental health score
 CALD 0.62 0.064 0.37 1.03 Crude
  1. OR odds ratio; L95% CI lower limit, 95% confidence interval; U95% CI upper limit, 95% confidence interval; BMI body mass index; Crude adjustment for confounding not required; CALD culturally and linguistically diverse background
  2. aCalculated by ordinal regression