Establishment of a risk model of placental accreta spectrum by ultrasound combined with clinical high risk factors
10.3760/cma.j.cn131148-20221026-00721
- VernacularTitle:超声联合临床高危因素建立胎盘植入性疾病风险模型的研究
- Author:
Jingjing XUE
1
;
Li WANG
;
Qingqing WU
;
Yinghua XUAN
;
Xinlian WANG
;
Xiaowei LIU
;
Yang ZHAN
Author Information
1. 首都医科大学附属北京妇产医院/北京妇幼保健院超声科，北京 100026
- Keywords:
Ultrasonography;
Risk model;
Placenta accreta spectrum;
Ultrasonic signs;
Total hysterectomy;
Massive hemorrhage after postpartum
- From:
Chinese Journal of Ultrasonography
2023;32(5):431-436
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish a risk model of placenta accreta spectrum(PAS) based on the clinical risk factors and ultrasound signs of patients with placenta accreta, and identify severe placenta accreta prenatal.Methods:A retrospective analysis was performed on 121 PAS patients admitted to Beijing Obstetrics and Gynecology Hospital Affiliated to Capital Medical University from January 2018 to June 2022 who were clinically classified or pathologically diagnosed during delivery. The two groups were divided into light and severe groups according to the implantation type. The clinical risk factors and ultrasound signs between the two groups were compared. A risk model of PAS was established based on the clinical risk factors and ultrasound signs to predict the perinatal complications.Results:A total of 130 cases of PAS were clinically diagnosed or pathologically diagnosed with placenta, 9 cases with incomplete clinical data or irregular ultrasound images were excluded, and the remaining 121 cases were included in the study. Among the 121 patients, 64 cases were placental accreta, 39 cases were placental increta, and 18 cases were placenta percreta. The placental accreta was defined as mild group, and the combination of placental increta and placenta percreta were referred to as severe group. There were no significant differences in placenta previa, and the number of uterine cavity operations (all P>0.05). There were significant differences in the number of cesarean section, myometrium thinning, placental lacunae, abnormal vascularization at the utero-bladder junction, bridging vessels at the utero-bladder junction, placental protuberance and cervical involvement (all P<0.05). Binary logistic regression analysis showed that placental lacunae, abnormal vasculization of the utero-bladder interface and the number of cesarean sections were independent risk factors for severe PAS. Based on this, a risk model was established and the ROC curve of each independent risk factor and risk model was plotted respectively. The AUC of the risk model was 0.826, which had better diagnostic efficacy than other independent risk factors. Conclusions:In the prenatal ultrasound classification diagnosis of high-risk patients with PAS, the placental lacunae, abnormal vascularization of utero-bladder interface and the number of cesarean section are combined to establish the risk model of PAS, which has a good diagnostic efficacy for severe placenta accreta.
