Research Article
USMRI Features and Clinical Data-Based Model for Predicting the Degree of Placenta Accreta Spectrum Disorders and Developing Prediction Models
Table 3
Logistic regression analysis for predicting early placenta accreta spectrum disorders based on the clinical characteristics model (clinical model).
| Clinical characteristics model | Univariate analysis | Multivariate analysis | | Hazard ratio | | Hazard 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 | 3.208 (2.004–5.134) | History of endometrial injury | <0.05 | 3.289 (1.959–5.521) | 0.008 | 2.574 (1.282–5.168) | History of hypertension | 0.975 | 0.989 (0.498–1.963) | | | Smoking history | 0.846 | 0.933 (0.465–1.875) | | | Drinking history | 0.748 | 0.893 (0.447–1.784) | | | Diabetes history | 0.655 | 1.532 (1.652–4.617) | | |
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