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Antenatal diagnosis of placenta accreta spectrum after in vitro fertilization-embryo transfer: a systematic review and meta-analysis.

ABSTRACT: Increasing evidence suggests a relationship between in vitro fertilization-embryo transfer (IVF-ET) and placenta accreta spectrum (PAS). Some studies have reported a lower rate of antenatal diagnosis of PAS after IVF-ET compared to PAS with spontaneous conception. This study aimed to review the diagnostic accuracy of PAS after IVF-ET and to explore the relationship between IVF-ET pregnancy and PAS. According to the PRISMA guidelines, a comprehensive systematic review of the literature was conducted through August 31, 2020 to determine the effects of IVF-ET on PAS. In addition, a meta-analysis was conducted to explore the relationship between IVF-ET pregnancy and PAS. Twelve original studies (2011-2020) met the inclusion criteria. Among these, 190,139 IVF-ET pregnancies and 248,534 spontaneous conceptions met the inclusion criteria. In the comparator analysis between PAS after IVF-ET and PAS with spontaneous conception (n = 2), the antenatal diagnosis of PAS after IVF-ET was significantly lower than that of PAS with spontaneous conception (22.2% versus 94.7%, P < 0.01; < 12.9% versus 46.9%, P < 0.01). The risk of PAS was significantly higher in women who conceived with IVF-ET than in those with spontaneous conception (odds ratio [OR]: 5.03, 95% confidence interval [CI]: 3.34-7.56, P < 0.01). In the sensitivity analysis accounting for the type of IVF-ET, frozen ET was associated with an increased risk of PAS (OR: 4.60, 95%CI: 3.42-6.18, P < 0.01) compared to fresh ET. Notably, frozen ET with hormone replacement cycle was significantly associated with the prevalence of PAS compared to frozen ET with normal ovulatory cycle (OR: 5.76, 95%CI 3.12-10.64, P < 0.01). IVF-ET is associated with PAS, and PAS after IVF-ET was associated with a lower rate of antenatal diagnosis. Therefore, clinicians can pay more attention to the presence of PAS during antenatal evaluation in women with IVF-ET, especially in frozen ET with hormone replacement cycle.

SUBMITTER: Matsuzaki S

PROVIDER: S-EPMC8080594 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe placenta is a highly specialized temporary organ that is related to fetal development and pregnancy outcomes, and epidemiological data demonstrate an increased risk of placental abnormality after in vitro fertilization and embryo transfer (IVF-ET).MethodsThis study examines alterations in the transcriptome profile of first-trimester placentas from IVF-ET pregnancies and analyzes the potential mechanisms that play a role in the adverse perinatal outcomes associated with IVF-ET procedures. Four human placental villi from first-trimester samples were obtained through fetal bud aspiration from patients subjected to IVF-ET due to oviductal factors. An additional four control human placental villi were derived from a group of subjects who spontaneously conceived a twin pregnancy. We analyzed their transcriptomes by microarray. Then, RT-qPCR and immunohistochemistry were utilized to analyze several dysregulated genes to validate the microarray results. Biological functions and pathways were analyzed with bioinformatics tools.ResultsA total of 3405 differentially regulated genes were identified as significantly dysregulated (> 2-fold change; P < 0.05) in the IVF-ET placenta in the first trimester: 1910 upregulated and 1495 downregulated genes. Functional enrichment analysis of the differentially regulated genes demonstrated that the genes were involved in more than 50 biological processes and pathways that have been shown to play important roles in the first trimester in vivo. These pathways can be clustered into coagulation cascades, immune response, transmembrane signaling, metabolism, cell cycle, stress control, invasion and vascularization. Nearly the same number of up- and downregulated genes participate in the same biological processes related to placental development and maintenance. Procedures utilized in IVF-ET altered the expression of first-trimester placental genes that are critical to these biological processes and triggered a compensatory mechanism during early implantation in vivo.ConclusionThese data provide a potential basis for further analysis of the higher frequency of adverse perinatal outcomes following IVF-ET, with the ultimate goal of developing safer IVF-ET protocols.

Project description:ObjectiveTo assess the performance of the 'separation sign' as a predictor of normal placental separation in a large cohort of women at risk for placenta accreta spectrum (PAS) and in a high-risk subgroup with placenta previa or anterior low-lying placenta and at least one previous Cesarean delivery.MethodsThis was a prospective study of women at risk for PAS referred to a specialist clinic at between 22 and 38 weeks' gestation. All women underwent ultrasound assessment for the presence of the separation sign, which detects the difference in elasticity between the myometrium and the placenta, characterized by different rates of rebound after an ultrasound probe is used to apply pressure over the uteroplacental interface. When the sign is positive, the placenta appears to move relative to the myometrium, leading to the appearance or enhancement of the clear zone. The predictive performance of the separation sign for normal spontaneous placental separation at delivery was assessed.ResultsOf the 194 included women, 163 had a positive separation sign, all of whom went on to have normal placental separation at delivery. Of the 24 women with a negative separation sign, three (12.5%) had normal placental separation and 21 (87.5%) were diagnosed with PAS. This yielded a sensitivity of 98.2% (95% CI, 94.8-99.6%) and specificity of 100% (95% CI, 83.9-100%). In the high-risk cohort (n = 35), a positive separation sign remained a reliable predictor of normal placental separation, with a positive predictive value of 100%, sensitivity of 88.9% (95% CI, 65.3-98.6%) and specificity of 100% (95% CI, 80.5-100%).ConclusionsThe separation sign could be a useful tool in women considered to be at risk for PAS, as it can facilitate the prediction of normal placental separation at delivery. This may prevent overtreatment, the associated iatrogenic morbidity and unnecessary allocation of clinical resources. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Project description:IntroductionThe infertile patient's knowledge, attitude, and practice (KAP) toward embryo transfer may affect treatment outcomes and the mental health of women who underwent in vitro fertilization-embryo transfer (IVF-ET). This study aimed to investigate the KAP of embryo transfer among women who underwent IVF-ET.MethodsThis cross-sectional study was conducted on women who underwent IVF-ET at our Hospital between May 2023 and November 2023, using a self-designed questionnaire.ResultsA total of 614 valid questionnaires were finally included. The mean KAP scores were 19.46 ± 5.06 (possible range: 0 28), 39.41 ± 5.20 (possible range: 12-60), and 48.02 ± 6.75 (possible range: 0-60), respectively. The structural equation model demonstrated that knowledge has a direct effect on attitude (β = 0.27, p < 0.001) and attitude has a direct effect on practice (β = 0.55, p < 0.001) and anxiety (β = 0.59, p < 0.001). Moreover, multivariable linear regression analysis showed that anxiety score [coefficient = 0.09, 95% confidence interval (CI): 0.03-0.16, p = 0.003], BMI (coefficient = 0.09, 95%CI: 0.03-0.16, p = 0.003), education (coefficient = 5.65-6.17, 95%CI: 1.09-10.7, p < 0.05), monthly per capita income (coefficient = 1.20-1.96, 95% CI: 0.21-3.07, p = 0.05), reasons for IVF (coefficient = -1.33-1.19, 95% CI: -2.49-0.09, p < 0.05), and more than 5 years of infertility (coefficient = -1.12, 95% CI: -2.11-0.13, p = 0.026) were independently associated with sufficient knowledge. Knowledge (coefficient = 0.19, 95% CI: 0.12-0.26, p < 0.001), anxiety (coefficient = 0.39, 95% CI: 0.34-0.45, p < 0.001), monthly per capita household income >10,000 (coefficient = 1.52, 95% CI: 0.61-2.43, p < 0.001), and three or more cycles of embryo transfer (coefficient = -2.69, 95% CI: -3.94-1.43, p < 0.001) were independently associated with active attitude. Furthermore, attitude (coefficient = 0.21, 95% CI: 0.11-0.30, p < 0.001) and anxiety (coefficient = 0.57, 95% CI: 0.49-0.65, p < 0.001) were independently associated with proactive practice.DiscussionWomen who underwent IVF-ET had inadequate knowledge and negative attitudes but proactive practice toward embryo transfer, which were affected by anxiety, income, and reasons for IVF. It is necessary to strengthen the continuous improvement of patient education to improve the management of embryo transfer.

Project description:BackgroundPlacenta accreta spectrum (PAS) is a rare, life-threatening complication of pregnancy. Predicting PAS severity is critical to individualise care planning for the birth. We aim to explore whether radiomic analysis of T2-weighted magnetic resonance imaging (MRI) can predict severe cases by distinguishing between histopathological subtypes antenatally.MethodsThis was a bi-centre retrospective analysis of a prospective cohort study conducted between 2018 and 2022. Women who underwent MRI during pregnancy and had histological confirmation of PAS were included. Radiomic features were extracted from T2-weighted images. Univariate regression and multivariate analyses were performed to build predictive models to differentiate between non-invasive (International Federation of Gynecology and Obstetrics [FIGO] grade 1 or 2) and invasive (FIGO grade 3) PAS using R software. Prediction performance was assessed based on several metrics including sensitivity, specificity, accuracy and area under the curve (AUC) at receiver operating characteristic analysis.ResultsForty-one women met the inclusion criteria. At univariate analysis, 0.64 sensitivity (95% confidence interval [CI] 0.0-1.00), specificity 0.93 (0.38-1.0), 0.58 accuracy (0.37-0.78) and 0.77 AUC (0.56-.097) was achieved for predicting severe FIGO grade 3 PAS. Using a multivariate approach, a support vector machine model yielded 0.30 sensitivity (95% CI 0.18-1.0]), 0.74 specificity (0.38-1.00), 0.58 accuracy (0.40-0.82), and 0.53 AUC (0.40-0.85).ConclusionOur results demonstrate a predictive potential of this machine learning pipeline for classifying severe PAS cases.Relevance statementThis study demonstrates the potential use of radiomics from MR images to identify severe cases of placenta accreta spectrum antenatally.Key points• Identifying severe cases of placenta accreta spectrum from imaging is challenging. • We present a methodological approach for radiomics-based prediction of placenta accreta. • We report certain radiomic features are able to predict severe PAS subtypes. • Identifying severe PAS subtypes ensures safe and individualised care planning for birth.

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Antenatal diagnosis of placenta accreta spectrum after in vitro fertilization-embryo transfer: a systematic review and meta-analysis.

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