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Table 3 Multivariable logistic regression analysis of outcomes after colorectal cancer surgery, Nationwide Inpatient Sample, 2007-2011

From: Race/ethnicity and socio-economic differences in colorectal cancer surgery outcomes: analysis of the nationwide inpatient sample

Study Characteristics

N (%)

Post-Surgical Complicationsa

OR (95 % CI)

P-value

In-Hospital Mortalitya

OR (95 % CI)

P-value

Age

104834

1.01 (1.01, 1.01)

<.0001

1.05 (1.05, 1.06)

<.0001

Sex

  

<.0001

 

<.0001

 Male

52193 (49.8)

Ref

 

Ref

 

 Female

52510 (50.2)

0.77 (0.73, 0.81)

 

0.72 (0.65, 0.79)

 

Race/Ethnicity

  

0.0021

 

0.0364

 White

66339 (76.6)

Ref

 

Ref

 

 Black

9091 (10.5)

1.07 (1.01, 1.13)

 

1.18 (1.00, 1.39)

 

 Hispanic

5837 (6.7)

0.93 (0.87, 0.99)

 

1.01 (0.82, 1.24)

 

 Other

5356 (6.2)

0.96 (0.90, 1.02)

 

0.79 (0.63, 1.01)

 

Residential Income

  

0.0472

 

0.0080

 Q4-Highest

24504 (24.1)

Ref

 

Ref

 

 Q3

25238 (24.9)

1.05 (1.01, 1.10)

 

1.19 (1.03, 1.36)

 

 Q2

26492 (26.1)

1.01 (0.96, 1.06)

 

1.20 (1.04, 1.39)

 

 Q1-Lowest

25300 (24.9)

0.99 (0.95, 1.04)

 

1.30 (1.11, 1.51)

 

Stage

  

<.0001

 

<.0001

 Non-Metastatic

5397 (13.5)

Ref

 

Ref

 

 Metastatic

24142 (60.3)

1.17 (1.13, 1. 21)

 

1.80 (1.63, 1.99)

 

Insurance Type

  

<.0001

 

<.0001

 Private

34356 (33.6)

Ref

 

Ref

 

 Medicare

59102 (57.0)

1.16 (1.11, 1.22)

 

1.23 (1.05, 1.45)

 

 Medicaid

4976 (4.8)

1.15 (1.07, 1.25)

 

1.66 (1. 23, 2.22)

 

 Other

5216 (5.0)

1.03 (0.95, 1.12)

 

1.95 (1.49, 2.56)

 

Residential Region

  

0.0116

 

0.6859

 Large metro

52149 (56.2)

Ref

 

Ref

 

 Small metro

28372 (30.6)

0.95 (0.91, 0.99)

 

0.96 (0.86, 1.08)

 

 Micropolitan

12260 (13.2)

1.01 (0.95, 1.06)

 

0.95 (0.80, 1.08)

 

Comorbidities

  

<.0001

 

<.0001

 0

72084 (69.6)

Ref

 

Ref

 

 1

23234 (22.4)

1.19 (1.14, 1.23)

 

1.86 (1.67, 2.08)

 

 ≥ 2

8332 (8.0)

1.19 (1.13, 1.26)

 

3.11 (2.73, 3.54)

 
  1. aAdjusted for age, sex, diagnosis year, race, income, stage, insurance, residential region and comorbidities