Research Article

USMRI Features and Clinical Data-Based Model for Predicting the Degree of Placenta Accreta Spectrum Disorders and Developing Prediction Models

Table 5

Logistic regression analysis for predicting early placenta accreta spectrum disorders based on ultrasound/MRI imaging characteristics and clinical characteristics (combined model).

Combined modelUnivariate analysisMultivariate analysis
Hazard ratioHazard ratio

Pregnancy times<0.05 2.241 (1.549–3.242)
Age<0.05 1.113 (1.054–1.176)
History of cesarean section<0.05 2.391 (1.648–3.471)
History of abortion<0.05 2.557 (1.802–3.627)<0.05 3.587 (2.077–6.195)
History of endometrial injury<0.05 3.289 (1.959–5.521)0.023 2.371 (1.125–4.994)
Complete placenta previa0.029 2.195 (1.085–4.440)
Blurred boundary between the placenta and myometrium0.008 2.604 (1.280–5.296)0.006 4.225 (0.859–3.594)
Blurred boundary between the uterine serosa and bladder0.013 2.456 (1.212–4.978)0.009 4.857 (1.490–15.827)

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