Table 7 Logistic regression of bile acid biomarkers for predicting MoCA-defined cognitive status in PD patients

From: Classifying the risk of cognitive impairment in Parkinson’s disease using serum bile acid profiles and machine learning

Variables

Univariate

Multivariate

     
 

OR

95% CI

P

OR

95% CI

P

 

CA

1.000

0.999–1.000

0.041

1.00

1.000–1.000

0.043

 

CDCA

1.000

1.000–1.000

0.604

    

DCA

1.001

1.000–1.002

0.000

1.001

1.001–1.002

0.000

 

LCA

1.006

0.997–1.014

0.194

    

GCA

1.000

0.999–1.000

0.241

    

GCDCA

1.000

1.000–1.000

0.088

    

GDCA

1.000

1.000–1.001

0.310

    

GLCA

0.983

0.972–0.993

0.001

0.984

0.974–0.994

0.001

 

TCA

1.002

1.001–1.004

0.005

1.001

1.000–1.001

0.002

 

TCDCA

1.000

0.999–1.000

0.235

    

TDCA

0.999

0.997–1.000

0.132

    

TLCA

1.005

1.000–1.010

0.039

1.004

1.000–1.009

0.052

 

UDCA

1.000

1.000–1.001

0.438

    

GUDCA

1.000

1.000–1.001

0.181

    

TUDCA

0.998

0.996–1.000

0.079

    
  1. OR odds ratio, CI confidence Interval, and the statistically significant P-values were highlighted in bold.
Back to article page