Table 2 Results of multivariate logistic regression and point allocation for predictors of multiple myeloma based on regression coefficients.

From: Quantitative risk factor analysis of prior disease condition and socioeconomic status with the multiple myeloma development: nationwide cohort study

Variables

Odds ratio (95% CI)

Regression coefficient (95% CI)

p-value

Score assigned*

Congestive heart failure

  

 < 0.001

 

 No

   

0

 Yes

1.16 [1.09, 1.24]

0.148 [0.09, 0.22]

 

1.5

Autoimmune disease

  

 < 0.001

 

 No

   

0

 Yes

1.18 [1.11, 1.26]

0.166 [0.1, 0.23]

 

1.5

Chronic pulmonary disease

  

 < 0.001

 

 No

   

0

 Yes

1.15 [1.11, 1.19]

0.14 [0.1, 0.17]

 

1.5

Peptic ulcer disease

  

0.118

 

 No

   

0

 Yes

1.03 [0.99, 1.06]

0.03 [− 0.01, 0.06]

 

0.5

Hepatic disease

  

0.001

 

 No

   

0

 Yes

1.07 [1.03, 1.11]

0.068 [0.03, 0.10]

 

1

Renal disease

  

 < 0.001

 

 No

   

0

 Yes

2.06 [1.88, 2.26]

0.723 [0.63, 0.82]

 

7

Any malignancy

  

 < 0.001

 

 No

   

0

 Yes

1.16 [1.09, 1.23]

0.148 [0.09, 0.21]

 

1.5

Metastatic solid tumor

  

0.095

 

 No

   

0

 Yes

1.17 [0.97, 1.41]

0.157 [− 0.03, 0.34]

 

1.5

Socioeconomic status

  

 < 0.001

 

 Medical beneficiary

1.76 [1.62, 1.90]

0.565 [0.48, 0.64]

 

5.5

 Low-middle

   

0

 High

0.88 [0.85, 0.91]

− 0.128 [− 0.16, − 0.09]

 

− 1.5

  1. *Based on regression coefficients.