Value of Uterine Artery Blood Flow Associated with Multiple Parameters in the Diagnosis of Placenta Accreta Spectrum Disorders

ObjectiveTo explore the application value of uterine artery blood flow associated with multiple parameters in the diagnosis of placenta accreta spectrum disorders.MethodsThis study was a retrospective cohort study. Pregnant women diagnosed with placenta previa were selected from Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2017 to December 2021. The general information, past history, antenatal information[including pulsatility index(PI) of uterine artery, ultrasonic signs, etc.] and operation information of the pregnant women were obtained through the hospital electronic medical record system. According to the results of operation, the patients were divided into accreta group and non-accreta group. The diagnostic value of uterine artery PI associated with multiple parameters in the placenta accreta spectrum disorders was analysed.ResultsA total of 80 pregnant women were divided into accreta group(34 cases) and non-accreta group(46 cases) according to the inclusion and exclusion criteria. Compared with the non-accreta group, the age of pregnant women in the accreta group(P=0.017) and history of cesarean section(P < 0.001) significantly increased, and the mean PI of uterine artery significantly decreased(P=0.006). There were significant differences in ultrasonic signs such as local interruption or disappearance of the posterior placental lower vocal cords(P < 0.001), abundant blood flow after placenta(P < 0.001), and interruption or disappearance or irregularity of the boundary of the uterus and bladder(P=0.003). The area under the ROC curve of uterine artery PI, cesarean section history and ultrasonic signs in the diagnosis of placenta accreta spectrum disorders was 0.96(95% CI: 0.93-0.99), the sensitivity was 97.06%(95% CI: 91%-100%), and the specificity was 65.22%(95% CI: 51%-79%).ConclusionsUterine artery blood flow PI associated with multiple parameters has high sensitivity in the prediction of placenta accreta spectrum disorders, which is helpful in the early detection of this disease.