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Table 3 Univariate and multivariate regression models of factors predicting adverse pathologic outcomes in men undergoing radical prostatectomy at University of Pennsylvania, 1990–2012

From: The impact of body mass index on treatment outcomes for patients with low-intermediate risk prostate cancer

Univariate analysis

OR

95 % CI

p value

Age

1

0.98 to 1.03

0.80

Racea

   

White

1

Reference

 

African-American/Black

1.21

0.83 to 1.77

0.32

 Serum PSA

1.08

1.05 to 1.11

<0.001

Clinical stagea

   

T1c

1

Reference

 

T2a

1.05

0.64 to 1.72

0.85

T2b

3.00

1.11 to 8.17

0.03

   > T2c

2.58

0.97 to 6.85

0.06

 Year of Prostatectomy

0.97

0.94 to 1.00

0.05

Clinical Gleason scorea

   

   ≤ 6

1

Reference

 

7

2.21

1.48 to 3.29

<0.001

   ≥ 8

5.06

3.03 to 8.43

<0.001

Body mass index, categoricala

   

   < 25 kg/m2

1

Reference

 

25 kg/m2 to <30 kg/m2

1.48

0.86 to 2.53

0.02

   ≥ 30 kg/m2

2.20

1.27 to 3.81

0.005

Multivariate analysis

 Age

1

0.97 to 1.03

0.74

Racea

   

White

1

Reference

 

African-American/Black

0.81

0.50 to 1.32

0.40

 Serum PSA

1.12

1.08 to 1.17

<0.001

Clinical stagea

   

T1c

1

Reference

 

T2a

1.24

0.72 to 2.14

0.43

T2b

2.28

0.70 to 7.38

0.17

   > T2c

1.21

0.37 to 4.03

0.75

 Year of Prostatectomy

0.99

0.95 to 1.04

0.69

Clinical Gleason scorea

   

   ≤ 6

1

Reference

 

7

2.01

1.24 to 3.25

0.005

   ≥ 8

5.97

3.02 to 11.78

<0.001

Body mass index, categoricala

   

   < 25 kg/m 2

1

Reference

 

25 kg/m 2 to <30 kg/m 2

1.58

0.81 to 3.07

0.18

   ≥ 30 kg/m 2

2.58

1.30 to 5.09

0.006

  1. Abbreviations: PSA prostate-specific antigen, ≥2 adverse pathologic features as endpoint
  2. aDenotes categorical variables. Body mass index, categorical uses BMI <25 kg/m2 as reference
  3. Race use White as reference category; “Other” race was dropped from model due to small numbers
  4. Clinical stage, categorical uses (T1; T2a, T2b; >T2c), with T1c as reference category
  5. Clinical Gleason score, categorical (6, 7, ≥8); with 6 as reference category
  6. P values derived from a logistic regression model
  7. Boldfaced values represent statistically significance