Table 3 Crude Cox regression analysis of survival from the beginning of best supportive care.

From: Decision-making factors for best supportive care alone and prognostic factors after best supportive care in non-small cell lung cancer patients

Variable

Univariate Analysis

Multivariate Analysis

HR

95% CI

p-value

HR

95% CI

p-value

Anticancer therapy (none vs. used)

1.40

1.26–1.55

0.0001

1.73

1.27–2.37

0.001

Performance status (0 → 4)

1.70

1.48–1.94

0.0001

1.66

1.44–1.93

0.0001

Disseminated intravascular coagulation (absent vs. present)

4.85

2.72–8.66

0.0001

3.74

2.01–6.96

0.0001

Age (low → high)

0.96

0.95–0.98

0.0001

0.97

0.95–0.98

0.0001

White blood cell (×103) (low → high)

1.05

1.03–1.07

0.0001

1.02

1.01–1.04

0.007

Lactate dehydrogenase (×103) (low → high)

1.01

1.003–1.02

0.007

1.01

1.00–1.02

0.011

Dementia (absent vs. present)

0.61

0.38–0.96

0.034

0.66

0.40–1.08

0.10

Alanine transaminase (low → high)

1.002

1.001–1.004

0.006

1.001

0.999–1.003

0.33

Brain metastasis (absent vs. present)

1.53

1.12–2.09

0.007

0.99

0.72–1.36

0.94

Blood urea nitrogen (low → high)

1.01

0.999–1.02

0.092

0.998

0.99–1.01

0.69

Stage (1 → 4)

1.30

1.14–1.48

0.0001

 

NI

 

Hemoglobin (low → high)

0.84

0.79–0.89

0.0001

 

NI

 

Albumin (low → high)

0.40

0.32–0.49

0.0001

 

NI

 

C-reactive protein (low → high)

1.04

1.03–1.06

0.0001

 

NI

 

Patient’s wish about best supportive care (absent vs. present)

0.45

0.32–0.62

0.0001

 

NI

 

Doctor’s decision about best supportive care (absent vs. present)

2.13

1.48–3.09

0.0001

 

NI

 

Transfer to hospice or home (absent vs. present)

0.44

0.37–0.53

0.0001

 

NI

 

Liver dysfunction (absent vs. present)

1.46

0.96–2.21

0.074

 

NI

 
  1. Abbreviations: HR, Hazard ratio; C.I., confidence interval; Variables with a p-value < 0.10 on univariate analysis were entered into multivariate Cox analysis using.
  2. the simultaneous method. NI, not included in the best multivariate Cox regression model.