Table 3 Logistic Regression using protein levels to predict diagnosis of BD-II (training group).

From: Identification of potential plasma protein biomarkers for bipolar II disorder: a preliminary/exploratory study

 

B

95% CI

P

PRDX2 (ng/mL)a

− 0.005

0.36–2.76

0.992

CA1 (ng/mL)a

− 3.6

0.99–1.00

< 0.001**

FARSB (ng/mL)a

− 4.0

0.90–0.96

< 0.001**

MMP9 (ng/mL)a

− 2.9

0.98–0.99

< 0.001**

PCSK9 (ng/mL)a

− 5.2

0.98–0.99

< 0.001**

Gender

1.8

2.2–10.4

< 0.001**

Age

− 0.004

0.96–1.02

0.827

  1. Reference group: normal control.
  2. Constant number: 33.732.
  3. Using logistic regression to form a probability score (combination of 5 protein levels) to predict diagnosis of BD-II.
  4. Probability score for the testing group is calculated in the following way: Logit_probability = 33.732 + (− 0.005) * PRDX2 + (− 3.6) * CA1 + (− 4.0)  * FARSB + (− 2.9)  * MMP9 + (− 5.2) * PCSK9.
  5. Probability score = (2.718281728 ** logit_probability)/(1 + 2.718281728 ** logit_probability).
  6. *P < 0.05; **P < 0.01.
  7. aCalculated using transformed data (Log10 transformation of original data for normal distribution).
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