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Table 5 Univariable and Multivariate regression analysis of pregnancy outcomes among the whole participants

From: The association between triglyceride glucose-body Mass Index and in vitro fertilization outcomes in women with polycystic ovary syndrome: a cohort study

Variable

Outcome

Univariate analysis

Multivariate analysis

OR

P

OR

P

Biochemical pregnancy rate (%)

     

TyG-BMI index quartile

     

Q1

66.66(6/9)

Ref

 

Ref

 

Q2

60.00(6/10)

0.75 (0.11, 4.94)

0.764

0.11 (0.01, 1.45)

0.136

Q3

80.00(8/10)

2.00(0.25, 19.18)

0.513

1.13 (0.83, 1.67)

0.466

Q4

50.00(5/10)

0.50 (0.07, 3.14)

0.465

2.40 (0.11, 104.89)

0.602

Clinical pregnancy rate (n%)

     

TyG-BMI index quartile

     

Q1

55.56(5/9)

Ref

 

Ref

 

Q2

60.00(6/10)

1.20 (0.19, 7.44)

0.845

0.30 (0.02, 3.11)

0.334

Q3

60.00(6/10)

3.20 (0.42, 24.42)

0.262

0.75 (0.45, 1.12)

0.195

Q4

50.00(5/10)

0.80 (0.13,4.87)

0.809

2.70 (0.17,91.08)

0.509

Early pregnancy loss rate (n%)

     

TyG-BMI index quartile

     

Q1

0.00(0/6)

Ref

 

Ref

 

Q2

16.67(1/6)

-

0.296

-

-

Q3

12.5(1/8)

-

0.369

-

-

Q4

20.00(1/5)

-

-

-

-

Live birth rate (n%)

     

TyG-BMI index quartile

     

Q1

44.44(4/9)

Ref

 

Ref

 

Q2

50(5/10)

1.25

(0.205, 7.615)

0.809

0.689

(0.636, 0.069)

0.689

Q3

50(5/10)

1.25

(0.205, 7.615)

0.809

1.432

(0.186, 11.058)

0.730

Q4

40(4/10)

0.91

(0.205, 7.615)

0.742

3.319

(0.216, 10.598)

0.389

  1. All values are ORs (95% CIs). Values were determined by using logistic regression. OR, odds ratio;
  2. P value shows significance of entrance in the logistic regression model; P values in bold indicate statistical significance