Influence of psychological intervention on pregnancy rate of in vitro fertilization-embryo transfer
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Objective To evaluate the influence of psychological intervention on pregnancy rate of in vitro fertilization-embryo transfer.Methods Using the key words,including in vitro fertilization-embryo transfer and psychological,the data were retrieved from CNKI,CBM,VIP,Wanfang and PubMed.The quality of eligible studies was evaluated by two reviews independently and Meta-analysis was conducted on studies.Results Totally thirteen Chinese studies and three foreign studies were included.Conclusions Psychological intervention using in the process of in vitro fertilization-embryo transfer can improve the pregnancy rate,which is worthy of clinical application.
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Psychological nursing; Fertilization in vitro; Embryo transfer, Meta analysisAs the final and critical step in invitro fertilization (IVF), embryo transfer has always received much attention and deserves continuous optimization. In the present study, to explore the role of autocrine factors in embryo self-spent culture media, we prospectively compared embryo transfer with self-spent culture medium and fresh medium on clinical pregnancy outcomes. A total of 318 fresh IVF/intracytoplasmic sperm injection (ICSI) cycles were randomly allocated into two subgroups based on their transfer media (using a self-spent culture medium or new pre-equilibrated culture media), and the clinical outcomes were compared between groups. The implantation rates, clinical pregnancy rates and live birth rates for transfer using self-spent medium instead of new pre-equilibrated culture medium were slightly improved without statistical significance. Interestingly, however, biochemical pregnancy rate was found to be significantly decreased after transfer using self-spent medium for Day 3 embryos compared with new pre-equilibrated culture media. In short, embryo transfer with self-spent culture medium has shown some advantages, and large sample size studies are still needed to confirm these observations.ART: assisted reproductive technologies; ICSI: intracytoplasmic sperm injection; IVF: in vitro fertilization; ET: embryo transfer.
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Both microdrop and open methods are commonly used for in vitro fertilization (IVF) protocols for embryo culture as well as oocyte insemination. However, few comparative studies evaluating the microdrop or open method of insemination on the fertilization outcome and subsequent embryo development have been performed. A randomized study was conducted to compare microdrop and open fertilization with respect to fertilization rate and embryo development among non-male factor patients undergoing in vitro fertilization and embryo transfer (IVF-ET). The results presented in this study demonstrate that the fertilization failure rate [total fertilization failure rate (TFF) plus low fertilization rate (<25% oocytes fertilized)] in the microdrop insemination group was higher than in the open insemination group (11.9% versus 3.3%, p < 0.001), while the good quality embryo rate and pregnancy rate did not differ significantly between the groups. As a highly complicated process involving many extrinsic and intrinsic factors, further studies are needed to confirm the effects of these insemination methods on the rate of fertilization failure.
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Objective To analyze clinical application of in vitro fertilization and embryo transfer(IVF-ET). Methods Thirty-two patients were treated by controlled ovarian hyperstimulation, oocyte retrieval using trasvaginal US-guided aspiration ,in vitro fertilization and embryo transfer.Results 26 were given IVF-ET in total 32 cycles. Cycle pregnancy rate was 38.46 and clinical pregnancy rate was 23.08. Conclusion IVF-ET is useful assistant reproductive technique(ART).
Controlled ovarian hyperstimulation
Single Embryo Transfer
Embryo cryopreservation
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Single Embryo Transfer
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Abstract Objectives Blastocyst transfer in assisted reproduction techniques could be advantageous because the timing of exposure of the embryo to the uterine environment is more analogous to a natural cycle and permits embryo self‐selection after activation of the embryonic genome on day 3. Conversely, the in-vitro environment is likely to be inferior to that in vivo , and in-vitro culture beyond embryonic genomic activation could potentially harm the embryo. Our objective was to identify, appraise and summarize the available evidence comparing the effectiveness of blastocyst vs cleavage‐stage embryo transfer. Methods This was a systematic review and meta‐analysis of randomized controlled trials ( RCTs ) comparing the transfer of blastocysts (days 5–6) with the transfer of cleavage‐stage embryos (days 2–3) in women undergoing in-vitro fertilization or intracytoplasmic sperm injection. The last electronic searches were run on 1 August 2016. Abstracts and studies with a mean difference between the two study groups of > 0.5 for the number of embryos transferred were excluded. Results We screened 1187 records and assessed 33 potentially eligible studies. Twelve studies were included, comprising a total of 1200 women undergoing blastocyst transfer and 1218 undergoing cleavage‐stage embryo transfer. We observed low‐quality evidence of no significant difference of blastocyst transfer on live birth/ongoing pregnancy (relative risk ( RR ), 1.11 (95% CI , 0.92–1.35), 10 RCTs , 1940 women, I 2 = 54%), clinical pregnancy (RR, 1.10 (95% CI, 0.93–1.31), 12 RCTs, 2418 women, I 2 = 64%), cumulative pregnancy (RR, 0.89 (95% CI, 0.67–1.16), four RCTs, 524 women, I 2 = 63%) and miscarriage (RR, 1.08 (95% CI, 0.74–1.56), 10 RCTs, 763 pregnancies, I 2 = 0%). There was moderate‐quality evidence of a decrease in the number of women with surplus embryos after the blastocyst‐stage embryo transfer (RR, 0.78 (95% CI, 0.66–0.91)). Overall, the quality of the evidence was limited by the quality of the included studies and by unexplained inconsistency across studies. Conclusions Current evidence shows no superiority of blastocyst compared with cleavage‐stage embryo transfer in clinical practice. As the quality of the evidence for the primary outcomes is low, additional well‐designed RCTs are still needed before robust conclusions can be drawn. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.
Blastocyst Transfer
Live birth
Assisted Reproductive Technology
Embryo quality
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Single Embryo Transfer
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Multiple embryo transfers in in vitro fertilization (IVF) treatment increase the number of successful pregnancies while elevating the risk of multiple gestations. IVF-associated multiple pregnancies exhibit significant financial, social, and medical implications. Clinicians need to decide the number of embryos to be transferred considering the tradeoff between successful outcomes and multiple pregnancies.To predict implantation outcome of individual embryos in an IVF cycle with the aim of providing decision support on the number of embryos transferred.Retrospective cohort study.Electronic health records of one of the largest IVF clinics in Turkey. The study data set included 2453 embryos transferred at day 2 or day 3 after intracytoplasmic sperm injection (ICSI). Each embryo was represented with 18 clinical features and a class label, +1 or -1, indicating positive and negative implantation outcomes, respectively.For each classifier tested, a model was developed using two-thirds of the data set, and prediction performance was evaluated on the remaining one-third of the samples using receiver operating characteristic (ROC) analysis. The training-testing procedure was repeated 10 times on randomly split (two-thirds to one-third) data. The relative predictive values of clinical input characteristics were assessed using information gain feature weighting and forward feature selection methods.The naïve Bayes model provided 80.4% accuracy, 63.7% sensitivity, and 17.6% false alarm rate in embryo-based implantation prediction. Multiple embryo implantations were predicted at a 63.8% sensitivity level. Predictions using the proposed model resulted in higher accuracy compared with expert judgment alone (on average, 75.7% and 60.1%, respectively).A machine learning-based decision support system would be useful in improving the success rates of IVF treatment.
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