Skip to main content

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