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Table 2 Univariate Cox Regression Model for Hazard of Hospitalization

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

Variablea

Hazard Ratio

95% CI

P-Value

Physical Component Summary Score (PCSS)

 Lower Tercile of PCSS

2.52

1.92–3.32

<.0001

 Middle Tercile of PCSS

1.74

1.31–2.33

0.0002

 Upper Tercile of PCSS

1.0

–

–

Mental Component Summary Score (MCSS)

 Lower Tercile of MCSS

1.79

1.39–2.30

<.0001

 Middle Tercile of MCSS

1.27

0.97–1.67

0.08

 Upper Tercile of MCSS

1.0

–

–

Age (Years, Increment of 5 Years)

0.98

0.94–1.03

0.5

Gender (Male)

1.06

0.70–1.62

0.8

Marital Status (Married)

1.13

0.91–1.40

0.3

Race/Ethnicity

 Non-Hispanic African American

0.96

0.77–1.19

0.7

 Hispanic/Others

0.86

0.63–1.18

0.3

 Non-Hispanic Caucasian

1.0

–

–

Rank

 Civilian/Retired

1.47

0.93–2.35

0.1

 Enlisted

1.22

0.77–1.95

0.4

 Officers

1.0

–

–

CD4 Count

 CD4 Count < 200 cells/mm3

3.89

2.78–5.44

<.0001

 CD4 Count 200–349 cells/mm3

2.16

1.63–2.86

<.0001

 CD4 Count 350–499 cells/mm3

1.55

1.20–2.00

0.0008

 CD4 Count > 499 cells/mm3

1.0

–

–

Plasma Viral Load > 50 Copies/mL

2.36

1.92–2.89

<.0001

Medical Comorbidity

1.05

0.81–1.36

0.7

Mental Comorbidity

1.43

1.16–1.76

0.0009

AIDS Diagnosis

1.67

1.27–2.18

0.0002

Time Since HIV (Per year)

0.98

0.96–0.99

0.002

HAART Treatment

 HAART-Naïve

1.80

1.33–2.43

0.0002

 Off-HAART/Non-HAART ART

1.75

1.26–2.44

0.0008

 Non-PI Based HAART

0.70

0.55–0.87

0.003

 PI Based HAART

1.0

–

–

  1. aAll variables are time-varying except for race and gender