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Table 3 Multivariate Cox Regression Model for Hazard of Hospitalization for Terciles of PCSS and MCSS

From: Lower health-related quality of life predicts all-cause hospitalization among HIV-infected individuals

Variablea

Model 1: PCSS Model

Model 2: MCSS Model

Model 3: Combined PCSS and MCSS Model

 

HR

95% CI

HR

95% CI

HR

95% CI

PCSS

 Lower Tercile

2.18

1.64–2.90

 

2.12

1.59–2.84

 Middle Tercile

1.62

1.21–2.17

1.59

1.19–2.14

 Upper Tercile

1.0

–

1.0

–

MCSS

 Lower Tercile

 

1.44

1.10–1.87

1.33

1.02–1.73

 Middle Tercile

1.14

0.87–1.49

1.20

0.91–1.57

 Upper Tercile

1.0

–

1.0

–

CD4 Count

  < 200 cells/mm3

2.84

1.96–4.12

2.99

2.06–4.33

2.84

1.96–4.12

 200–349 cells/mm3

1.69

1.25–2.27

1.67

1.24–2.25

1.67

1.24–2.26

 350–499 cells/mm3

1.41

1.09–1.82

1.37

1.05–1.77

1.41

1.09–1.83

  > 499 cells/mm3

1.0

–

1.0

–

1.0

–

Plasma Viral Load > 50 Copies/mL

1.83

1.47–2.28

1.88

1.51–2.34

1.82

1.46–2.26

Mental Comorbidity

1.31

1.04–1.63

1.30

1.04–1.64

1.23

0.98–1.55

AIDS Diagnosis

1.35

1.00–1.83

1.47

1.09–1.99

1.34

0.99–1.81

Rank

 Civilian/Retired

2.06

1.26–3.37

2.16

1.32–3.52

2.04

1.25–3.34

 Enlisted

1.18

0.74–1.88

1.17

0.73–1.86

1.19

0.74–1.89

 Officer

1.0

–

1.0

–

–

–

Time Since HIV (Per year)

0.94

0.92–0.96

0.94

0.93–0.96

0.94

0.93–0.96

  1. aAll variables are time-varying