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Table 1 Univariate and multivariate logistic regression

From: Bioinformatics methods in biomarkers of preeclampsia and associated potential drug applications

NA

Univariate analysis

NA

Multivariate analysis

NA

 

OR (95% CI)

P value

P value

P value

LCP1

0.145 (0.059–0.355)

 < 0.001

NA

 

IGSF6

0.365 (0.205–0.650)

 < 0.001

NA

 

TLR8

0.303 (0.141–0.649)

0.002

NA

 

HCK

0.257 (0.116–0.567)

 < 0.001

NA

 

SLA

0.325 (0.158–0.666)

0.002

NA

 

DOCK2

0.340 (0.165–0.697)

0.003

NA

 

RAC2

0.324 (0.155–0.680)

0.003

NA

 

LCP2

0.335 (0.163–0.688)

0.003

NA

 

PLEK

0.104 (0.039–0.278)

 < 0.001

4.100000e-02 (3.000000e-03–5.150000e-01)

0.013

CD53

0.219 (0.102–0.471)

 < 0.001

NA

 

SERPINE1

2.040 (1.253–3.321)

0.004

NA

 

ENG

4.949 (2.678–9.146)

 < 0.001

NA

 

ANG

3.438 (1.766–6.691)

 < 0.001

NA

 

LEP

2.228 (1.698–2.924)

 < 0.001

2.524000e + 00 (1.568000e + 00–4.065000e + 00)

0.000

FLT1

2.083 (1.427–3.040)

 < 0.001

NA

 
  1. Note: