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1
Maternal Serum Cripto-1 Levels in Pregnancies Complicated with Placenta Previa and Placenta Accreta Spectrum (PAS).妊娠合并前置胎盘和胎盘植入谱系疾病(PAS)时孕妇血清Cripto-1水平
J Coll Physicians Surg Pak. 2022 Dec;32(12):1570-1575. doi: 10.29271/jcpsp.2022.12.1570.
2
Evaluation of Antepartum Factors for Predicting the Risk of Emergency Cesarean Delivery in Pregnancies Complicated With Placenta Previa.评估前置胎盘合并妊娠中预测急诊剖宫产风险的产前因素。
Ochsner J. 2022 Summer;22(2):146-153. doi: 10.31486/toj.21.0138.
3
Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study.使用机器学习模型预测胎盘植入谱系疾病女性的临床结局:一项国际多中心研究。
J Matern Fetal Neonatal Med. 2022 Dec;35(25):6644-6653. doi: 10.1080/14767058.2021.1918670. Epub 2021 Jul 7.
4
Predicting Placenta Accreta Spectrum: Validation of the Placenta Accreta Index.预测胎盘植入谱系:胎盘植入指数的验证。
J Ultrasound Med. 2021 Aug;40(8):1523-1532. doi: 10.1002/jum.15530. Epub 2020 Oct 14.
5
Maternal Serum VEGF Predicts Abnormally Invasive Placenta Better than NT-proBNP: a Multicenter Case-Control Study.母体血清 VEGF 比 NT-proBNP 更能预测异常侵袭性胎盘:一项多中心病例对照研究。
Reprod Sci. 2021 Feb;28(2):361-370. doi: 10.1007/s43032-020-00319-y. Epub 2020 Oct 6.
6
MRI of placenta accreta: diagnostic accuracy and impact of interventional radiology on foetal-maternal delivery outcomes in high-risk women.磁共振成像在胎盘植入诊断中的应用:高危产妇中,介入放射学对母婴分娩结局的诊断准确性和影响。
Br J Radiol. 2020 Oct 1;93(1114):20200267. doi: 10.1259/bjr.20200267. Epub 2020 Jul 29.
7
Placenta accreta spectrum: biomarker discovery using plasma proteomics.胎盘植入谱系疾病:血浆蛋白质组学的生物标志物发现。
Am J Obstet Gynecol. 2020 Sep;223(3):433.e1-433.e14. doi: 10.1016/j.ajog.2020.03.019. Epub 2020 Mar 19.
8
FIGO classification for the clinical diagnosis of placenta accreta spectrum disorders.FIGO 分类用于胎盘部位滋养细胞肿瘤的临床诊断。
Int J Gynaecol Obstet. 2019 Jul;146(1):20-24. doi: 10.1002/ijgo.12761.
9
Prevalence and main outcomes of placenta accreta spectrum: a systematic review and meta-analysis.胎盘植入谱系疾病的患病率及主要结局:系统评价和荟萃分析。
Am J Obstet Gynecol. 2019 Sep;221(3):208-218. doi: 10.1016/j.ajog.2019.01.233. Epub 2019 Feb 1.
10
Imaging of Placenta Accreta Spectrum.胎盘植入谱系疾病的影像学检查
Clin Obstet Gynecol. 2018 Dec;61(4):755-765. doi: 10.1097/GRF.0000000000000407.

胎盘植入指数对前置胎盘胎盘植入的超声预测

Ultrasonographic Prediction of Placental Invasion in Placenta Previa by Placenta Accreta Index.

作者信息

Hasegawa Keita, Ikenoue Satoru, Tanaka Yuya, Oishi Maki, Endo Toyohide, Sato Yu, Ishii Ryota, Kasuga Yoshifumi, Ochiai Daigo, Tanaka Mamoru

机构信息

Department of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi, Sinjuku, Tokyo 1608582, Japan.

Department of Clinical Trial and Clinical Epidemiology, University of Tsukuba Faculty of Medicine, 1-1-1 Tennodai, Tsukuba 305-8577, Japan.

出版信息

J Clin Med. 2023 Jan 31;12(3):1090. doi: 10.3390/jcm12031090.

DOI:10.3390/jcm12031090
PMID:36769741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9918036/
Abstract

This study aimed to investigate the diagnostic accuracy of the placenta accreta index (PAI) for predicting placenta accreta spectrum (PAS) in women with placenta previa. We analyzed 33 pregnancies with placenta previa at Keio University Hospital. The PAI was assessed in the early third trimester, and PAS was diagnosed histologically or clinically defined as retained placenta after manual removal attempts. The PAI and incidence of PAS were analyzed. Ten women (30%) were diagnosed with PAS and had higher volumes of perioperative bleeding ( = 0.016), higher rate of requiring uterine artery embolization ( = 0.005), and peripartum hysterectomy ( = 0.0002) than women without PAS. A PAI > 2 was the most useful cut-off point for predicting PAS and was more sensitive than prediction values using traditional evaluation (history of cesarean section and placental location). Post-hoc analysis revealed a higher rate of previous history of cesarean delivery (30% vs. 4.4%, = 0.038), severe placental lacunae (≥grade2) (70% vs. 8.7%, = 0.0003), thin myometrial thickness (90% vs. 22%, = 0.0003), anterior placenta (100% vs. 30%, = 0.0002), and presence of bridging vessels (30% vs. 0%, = 0.0059) in PAS women. PAI could help predict the outcomes of women with placenta previa with and without a history of cesarean delivery to reduce PAS-induced perinatal complications.

摘要

本研究旨在探讨胎盘植入指数(PAI)对前置胎盘孕妇胎盘植入谱系疾病(PAS)的诊断准确性。我们分析了庆应义塾大学医院33例前置胎盘的妊娠病例。在妊娠晚期第三个月早期评估PAI,并通过组织学诊断PAS,或在人工剥离胎盘尝试后临床上将其定义为胎盘残留。分析了PAI和PAS的发生率。10名女性(30%)被诊断为PAS,与未患PAS的女性相比,她们围手术期出血量更多(P = 0.016),需要子宫动脉栓塞的比例更高(P = 0.005),以及行围产期子宫切除术的比例更高(P = 0.0002)。PAI>2是预测PAS最有用的切点,比使用传统评估(剖宫产史和胎盘位置)的预测值更敏感。事后分析显示,PAS女性既往剖宫产史的比例更高(30%对4.4%,P = 0.038)、严重胎盘腔隙(≥2级)的比例更高(70%对8.7%,P = 0.0003)、子宫肌层厚度更薄(90%对22%,P = 0.0003)、前置胎盘的比例更高(100%对30%,P = 0.0002)以及存在搭桥血管的比例更高(30%对0%,P = 0.0059)。PAI有助于预测有无剖宫产史的前置胎盘女性的结局,以减少PAS引起的围产期并发症。