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Table 3 Logistic regression analysis of the indicators used to predict EPL

From: A logistic model to predict early pregnancy loss following in vitro fertilization based on 2601 infertility patients

Parameters

β

OR (CI)

P

MA (years)

0.114

1.121 (1.066–1.178)

<0.001

GA (weeks)

4.305

74.088 (32.957–166.551)

 

MSD (mm)

−0.043

0.958 (0.910–1.008)

 

CRL (mm)

−0.359

0.699 (0.619–0.789)

 

FHR (bpm)

−0.091

0.913 (0.898–0.929)

<0.001

YSD (mm)

3-5.5

 

1

 

<3

2.519

12.421 (3.127–49.343)

<0.001

>5.5

−0.347

0.707 (0.255–1.965)

<0.001

Fluid collection around the GS

2.243

9.422 (6.099–14.558)

<0.001

Constant

−21.456

  
  1. The data were analyzed using a binary logistic regression analysis
  2. Method = stepwise (LR). Criteria = PIN (0.05) and POUT (0.10). Model R2 = 0.593, P < 0.001
  3. Dependent variable assignment: ongoing pregnancy = 0, miscarriage = 1
  4. Independent variable assignment: YSD {mm, 3–5.5 = 1 (Dummy variable), < 3 = 2, > 5.5 = 3}; fluid collection around GS (yes = 1, no = 0)
  5. OR odds ratio, CI confidence interval
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Reproductive Biology and Endocrinology

ISSN: 1477-7827

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