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Table 3 Results of univariate and multivariate logistic regression analysis of predicting PPH risk

From: Predicting placenta accreta spectrum and high postpartum hemorrhage risk using radiomics from T2-weighted MRI

Characteristics

Univariate logistic regression analysis

Multivariate logistic regression analysis

OR (95% CI)

P value

OR (95% CI)

P value

R-score

3.863e + 02 (9.1301–1.6348e + 03)

< 0.001*

5.376e + 02 (7.526- 3.840e + 03)

< 0.001*

Maternal Age

0.958 (0.890–1.031)

0.251

0.928 (0.824–1.045)

0.218

Gestational age at MRI

0.904 (0.828–0.986)

0.023

0.903 (0.785–1.038)

0.15

Gravidities

1.405 (1.177–1.677)

< 0.001*

0.798 (0.371–1.716)

0.564

Parities

2.605 (1.763–3.848)

< 0.001*

1.431 (0.235–8.708)

0.697

Prior cesarean deliveries

2.878 (1.955–4.237)

< 0.001*

2.743 (0.613–12.271)

0.187

Placenta Previa

2.112e + 01 (5.035–8.8609e + 01)

< 0.001*

4.019e + 01 (6.459–2.501e + 02)

< 0.001*

History of abortion

1.164 (0.938–1.444)

0.169

1.874 (0.906–3.879)

0.091

History of other uterine operations

0.699 (0.423–1.155)

0.162

2.065 (1.088–3.921)

0.027*

Assisted reproduction

0.275 (0.069–1.094)

0.067 *

0.289 (0.064–1.297)

0.105

  1. Note: * indicates that the variable has a p-value of less than 0.05 in univariate or multivariate analyses and satisfies the characteristic retention condition. The odds ratio (OR) indicates the degree of influence of an independent variable on the probability of the outcome. An OR > 1 suggests that the factor increases the likelihood of the outcome, while an OR < 1 indicates a reduced likelihood. The 95% confidence interval (CI) reflects the precision of the estimate; if the interval does not include 1, the effect is considered statistically significant (p < 0.05)
  2. Abbreviations: OR, odds ratio; R-score, radiomics model output score