Impact of presence of antiphospholipid antibodies on in vitro fertilization outcome. Obstet Gynecol Sci. 2018;61:359-366. [PMID: 29780778 PMCID: PMC5956119 DOI: 10.5468/ogs.2018.61.3.359]

Anticardiolipin and/or anti-β2-glycoprotein-I antibodies are associated with adverse IVF outcomes

OBJECTIVE

The purpose of the study is to evaluate the effects of anticardiolipin (aCL) and/or anti-β2-glycoprotein-I (aβ2GPI) antibodies, namely antiphospholipid antibodies (aPL), on in vitro fertilization (IVF) outcomes.

MATERIALS AND METHODS

The study group comprised infertile women with aPL undergoing IVF-ET cycles. Controls were infertile women with tubal etiology without aPL. The impact of aPL on reproductive outcomes, such as oocyte quality, embryo quality, and implantation capacity, was compared between the study group and controls. Additionally, peripheral blood T cell subsets, such as T helper (Th)1, Th2, Th17, and T regulatory (Treg) cells and cytokines, were analyzed by the flow cytometry. Differences between the study group and controls were analyzed.

RESULTS

A total of 132 infertile women, including 44 women with aPL, and 88 controls were sequentially recruited for this study. Women with aPL had lower numbers of total and perfect/available embryos and lower rates of MII oocytes, blastocyst formation, perfect and available embryos, implantation, clinical pregnancy, and take-home baby. Additionally, imbalanced Th1/Th2 and Th17/Treg ratios, significantly higher levels of serum IL-2, TNF-α, IFN-γ, and IL-17A, and a significantly lower serum IL-4 were noticed in women with aPL compared to controls.

CONCLUSION

Women with aPL such as aCL and/or aβ2GPI antibodies were associated with adverse IVF outcomes. Early screening for aPL and appropriate consultation for couples undergoing IVF should be considered. In addition, underlying immunopathology and inflammatory immune mechanisms associated with aPL should be further explored.

A retrospective study on IVF/ICSI outcomes in patients with persisted positive of anticardiolipin antibody: Effects of low-dose aspirin plus low molecular weight heparin adjuvant treatment

Antiphospholipid (aPL) antibodies are more frequently detected among infertile women, but the association between aPL and in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) outcomes and whether need to get routine treatment are still controversial. The present study aims to find out whether infertile population with persistent aPL positive need treatment and which therapy is more effective. This retrospective study included 181 persistent aPL positive women, including 149 cases receiving anticoagulant treatment, either low-dose aspirin, low molecular weight heparin (LMWH) or aspirin plus LMWH adjuvant treatment (treated group), and 32 cases not receiving any treatment (untreated group). The treated group were further divided by combination therapy group (using both aspirin and LMWH，52 cases) and monotherapy group (only using aspirin，76 cases). The live birth rate and other clinical outcomes, including pregnancy rate, implantation rate, ongoing pregnancy rate and miscarriage rate were compared. The results show anticoagulant therapy can significantly improve live birth rate (59.06 % VS 34.48 %, P = 0.019), implantation rate (59.64 % VS 46.15 %, P＜0.001), ongoing pregnancy rate (59.73 % VS 34.38 %, P = 0.016), as well as reduce miscarriage rate (8.25 % VS 31.25 %, P＜0.001). Combination treatment of aspirin and LMWH exerts a higher live birth rate than monotherapy (75.00 % VS 53.95 %, P = 0.026). Infertile women with aPL positive might be classified as high-risk and low-risk aPL profiles. Those high-risk aPL positive infertile populations should be identified during IVF/ICSI and given corresponding thromboprophylaxis, and aspirin plus LMWH adjuvant treatment might be recommended.

Serum antiphospholipid antibody status may not be associated with the pregnancy outcomes of patients undergoing in vitro fertilization

BACKGROUND

Antiphospholipid syndrome (APS) is an autoimmune disease that is associated with recurrent pregnancy loss. It is still controversial whether the presence of antiphospholipid antibodies (aPL) in the serum of patients with in vitro fertilization-embryo transfer (IVF-ET) has a negative effect on the outcomes. In view of the discrepancies, a meta-analysis of the published data was performed to explore the relationship of aPL and IVF-ET outcomes.

METHODS

We searched for all published articles indexed in PubMed, Web of Science, and Cochrane Library, which were retrieved up to April, 2021. A total of 921 studies were yielded, of which 6 finally met the inclusion criteria. We carried out the meta-analysis by pooling results of these studies with Review Manager 5.3 software. The effect index was measured with 95% confidence intervals (CIs) of the relative risks (RRs).

RESULTS

Six eligible studies were included in this meta-analysis, involving 3214 patients. Our results showed that positive aPL was not associated with decreased clinical pregnancy rate (RR 0.97; 95% CI 0.91-1.04). There was no correlation between positive aPL and increased miscarriage risk (RR 1.22; 95% CI 0.94-1.58). Only 5 of the 6 studies referred to live birth rate, but still no association was found between them (RR 0.95; 95% CI 0.81-1.11).

CONCLUSIONS

The results showed that the presence of positive aPL neither decreased clinical pregnancy rate and live birth rate, nor increased miscarriage rate in women undergoing IVF, which is differed from the opinion of clinical practice. More prospective studies with high quality and larger sample size are needed to evaluate the relationship between positive aPL and outcomes of IVF-ET.

Long-term pituitary downregulation before frozen embryo transfer improves clinical outcomes in women positive for serum autoantibodies

OBJECTIVE

Autoantibodies are associated with worse outcomes in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI), including increasing miscarriage rate, lowering pregnancy rate, and lowering delivery rate. However, little is known about improving IVF/ICSI outcomes for autoantibody-positive women, especially in frozen-thawed embryo transfer (FET) cycles. This study aimed to investigate whether pituitary suppression before FET improves the clinical pregnancy rate (CPR) and live birth rate (LBR) for IVF/ICSI women positive for serum autoantibodies.

STUDY DESIGN

A total of 181 infertile women positive for serum autoantibodies were recruited, including 65 women receiving GnRHa and hormone replacement therapy protocols (G-HRT group) and 116 women using modified natural cycles (MNC)/mild stimulated cycles (MSC) as FET protocols (MNC/MSC group). The outcomes were compared between two groups, including CPR, implantation rate (IR), miscarriage rate (MR), ongoing pregnancy rate (OPR), LBR, and gestational age (GA). The primary outcome of the study was CPR.

RESULTS

CPR, OPR, and LBR per embryo transferred in the G-HRT groups were significantly higher than those in the MNC/MSC group. No statistically significant differences were observed in the IR and MR. The CPR, IR, MR, OPR, and LBR was 72.23%, 64.00%, 12.77%, 63.07%, and 63.07% in the G-HRT group, respectively, while that was 56.90%, 53.07%, 10.60%, 50.00%, and 50.00% in the MNC/MSC group, respectively. After adjusting for partial potential confounding factors using multiple logistic regression, the type of endometrial preparation is the factor independently associated with enhanced CPR (OR = 0.48, 95%CI: 0.24-0.96, P = 0.039).

CONCLUSIONS

The current study showed that prior long-term GnRHa suppression could benefit patients with high serum autoantibody levels during IVF/ICSI FET cycles.

Antiphospholipid antibodies and pregnancy outcome of assisted reproductive treatment: A systematic review and meta-analysis

PROBLEM

Antiphospholipid antibodies (aPLs) are a group of autoantibodies associated with a variety of pregnancy complications, but the impact of aPL on the outcomes of assisted fertility treatment (ART) is controversial. This systematic review and meta-analysis were designed to explore the association between aPL and ART outcomes and to explore in which stages does aPL play a role.

METHOD OF STUDY

PubMed and Cochrane database were systematically retrieved, and odds ratios (ORs) or risk ratios (RRs) with 95% confidence intervals (CIs) were calculated in a random-effect model or fixed-effect model according to the heterogenicity assessed by the Cochran Q and I²  statistic test. Of 246 records identified by the search, 10 case-control studies and 13 cohort studies that explored the association between aPL and in vitro fertilization (IVF) and/or intracytoplasmic sperm injection (ICSI) were analyzed.

RESULTS

The results showed that aPL positive rate was higher in females who failed in IVF/ICSI than those who succeeded in IVF/ICSI (OR: 3.62, 95% CI: 1.95-6.74). This study also indicated that females positive for aPL have a higher miscarriage rate (RR: 1.68, 95% CI: 1.24-2.28) than those negative for aPL, but live birth rate, biochemical pregnancy rate, and clinical pregnancy rate were similar between two groups (RR: 1.01, 95% CI: 0.91-1.12; RR: 1.18, 95% CI: 0.57-2.43 and RR: 0.95, 95% CI: 0.80-1.13).

CONCLUSIONS

There was higher aPL prevalence in females with adverse IVF/ICSI outcomes. It seems that aPL mainly affects the miscarriage rate, but has little effect on live birth rate, biochemical pregnancy rate, and clinical pregnancy rate. Routine detection of aPL before IVF/ICSI treatment is meaningful.

Antiphospholipid antibodies levels and potential effects on in-vitro fertilization in a large cohort of infertile Syrian women

Background

Obstetric morbidities represent a common hallmark manifestation of antiphospholipid syndrome (APS), with the recurrent loss of pregnancy as the main complication. The presence of antiphospholipid antibodies (APA) and its potential impact have not been established yet in infertile women seeking assisted reproduction technologies in Syria.

This study aims to determine the prevalence of anticardiolipin antibodies (aCL) and lupus anticoagulation (LAC) and their association with age and the In vitro fertilization (IVF) outcomes in a large sample of Syrian women.

Materials and methods

The electronic patients’ records were screened and relevant data extraction was performed retrospectively. The study included 876 women who had IVF between January 2012 and January 2020 in a tertiary care hospital.

Results

The prevalence of APA among the included women was less than 1%. Only 5 patients had positive APA. No correlation was found between the APA levels and age. Additionally, the APA did not have an impact on neither the IVF outcomes nor the number of IVF cycles.

Conclusion

the added value of APS antibodies’ screening could be considered very modest when compared to its financial burden on patients since it has a very low prevalence in women having IVF.

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Obstetric morbidities are a hallmark manifestation of antiphospholipid syndrome.

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The prevalence of APS in Syrian women having IVF was less than 1%.

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No correlation was found between the APA levels and age.

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The APA had no impact on the IVF outcomes or the number of IVF cycles.

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Screening of APA constitutes a financial burden on patients more than its benefit.

Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters

BACKGROUND

The achievement of live birth is the goal of assisted reproductive technology in reproductive medicine. When the selected blastocyst is transferred to the uterus, the degree of implantation of the blastocyst is evaluated by microscopic inspection, and the result is only about 30%-40%, and the method of predicting live birth from the blastocyst image is unknown. Live births correlate with several clinical conventional embryo evaluation parameters (CEE), such as maternal age. Therefore, it is necessary to develop artificial intelligence (AI) that combines blastocyst images and CEE to predict live births.

AIM

To develop an AI classifier for blastocyst images and CEE to predict the probability of achieving a live birth.

METHODS

A total of 5691 images of blastocysts on the fifth day after oocyte retrieval obtained from consecutive patients from January 2009 to April 2017 with fully deidentified data were retrospectively enrolled with explanations to patients and a website containing additional information with an opt-out option. We have developed a system in which the original architecture of the deep learning neural network is used to predict the probability of live birth from a blastocyst image and CEE.

RESULTS

The live birth rate was 0.387 (= 1587/4104 cases). The number of independent clinical information for predicting live birth is 10, which significantly avoids multicollinearity. A single AI classifier is composed of ten layers of convolutional neural networks, and each elementwise layer of ten factors is developed and obtained with 42792 as the number of training data points and 0.001 as the L2 regularization value. The accuracy, sensitivity, specificity, negative predictive value, positive predictive value, Youden J index, and area under the curve values for predicting live birth are 0.743, 0.638, 0.789, 0.831, 0.573, 0.427, and 0.740, respectively. The optimal cut-off point of the receiver operator characteristic curve is 0.207.

CONCLUSION

AI classifiers have the potential of predicting live births that humans cannot predict. Artificial intelligence may make progress in assisted reproductive technology.

Antiphospholipid syndrome and infertility

Antiphospholipid syndrome is a systemic autoimmune disease associated with obstetric complications along with vascular events affecting multiple organ systems in patients having positive titers of antiphospholipid antibodies. Eight to 20% of infertility cases have an unknown cause, part of which could be due to antiphospholipid syndrome. Although still debatable, many studies have addressed the relation between reproductive failure and antiphospholipid antibodies through the relation between antiphospholipid antibodies and unexplained infertility as well as the effect of antiphospholipid antibodies on the outcome of in vitro fertilization–embryo transfer. Few studies and cases have associated the presence of antiphospholipid antibodies with male infertility, describing morphofunctional penile abnormalities and testicular infarction. There are not enough data to support the routine practice of testing antiphospholipid antibodies in patients with infertility.

Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age

PURPOSE

To identify the multivariate logistic regression in a combination (combination method) involving artificial intelligence (AI) classifiers in images of blastocysts along with a conventional embryo evaluation (CEE) to predict the probability of accomplishing a live birth in patients classified by maternal age.

METHODS

Retrospectively, a total of 5691 blastocysts were enrolled. Images captured 115 hours or 139 hours if not yet sufficiently large after insemination were classified according to age as follows: <35, 35-37, 38-39, 40-41, and ≥42 years old. The classifiers for each category were created by using convolutional neural networks associated with deep learning. Next, the feasibility of a method combining AI with multivariate logistic model functions by CEE was investigated.

RESULTS

The values of the area under the curve (AUC) and the accuracies to predict live birth achieved by the CEE/AI/combination methods were 0.651/0.634/0.655, 0.697/0.688/0.723, 0.771/0.728/0.791, 0.788/0.743/0.806 and 0.820/0.837/0.888, and 0.631/0.647/0.616, 0.687/0.675/0.671, 0.725/0.697/0.732, 0.714/0.776/0.801, and 0.910/0.866/0.784 for age categories of <35, 35-37, 38-39, 40-41, and ≥42 years old, respectively.

CONCLUSIONS

Though there were mostly no significant differences regarding the AUC and the sensitivity plus specificity in all age categories, the combination method seemed to be the best.

Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image

PURPOSE

To make the artificial intelligence (AI) classifiers of the image of the blastocyst implanted later in order to predict the probability of achieving live birth.

METHODS

A system for using the machine learning approaches, which are logistic regression, naive Bayes, nearest neighbors, random forest, neural network, and support vector machine, of artificial intelligence to predict the probability of live birth from a blastocyst image was developed. Eighty images of blastocysts that led to live births and 80 images of blastocysts that led to aneuploid miscarriages were used to create an AI-based method with 5-fold cross-validation retrospectively for classifying embryos.

RESULTS

The logistic regression method showed the best results. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 0.65, 0.60, 0.70, 0.67, and 0.64, respectively. Area under the curve was 0.65 ± 0.04 (mean ± SE). Estimated probability of belonging to the live birth category was found significantly related to the probability of live birth (P < 0.005).

CONCLUSIONS

Classifiers using artificial intelligence applied toward a blastocyst image have a potential to show the probability of live birth being the outcome.

Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age

PURPOSE

To identify artificial intelligence (AI) classifiers in images of blastocysts to predict the probability of achieving a live birth in patients classified by age. Results are compared to those obtained by conventional embryo (CE) evaluation.

METHODS

A total of 5691 blastocysts were retrospectively enrolled. Images captured 115 hours after insemination (or 139 hours if not yet large enough) were classified according to maternal age as follows: <35, 35-37, 38-39, 40-41, and ≥42 years. The classifiers for each category and a classifier for all ages were related to convolutional neural networks associated with deep learning. Then, the live birth functions predicted by the AI and the multivariate logistic model functions predicted by CE were tested. The feasibility of the AI was investigated.

RESULTS

The accuracies of AI/CE for predicting live birth were 0.64/0.61, 0.71/0.70, 0.78/0.77, 0.81/0.83, 0.88/0.94, and 0.72/0.74 for the age categories <35, 35-37, 38-39, 40-41, and ≥42 years and all ages, respectively. The sum value of the sensitivity and specificity revealed that AI performed better than CE (P = 0.01).

CONCLUSIONS

AI classifiers categorized by age can predict the probability of live birth from an image of the blastocyst and produced better results than were achieved using CE.

The Impact of Autoantibodies on IVF Treatment and Outcome: A Systematic Review

The role of autoantibodies in in vitro fertilization (IVF) has been discussed for almost three decades. Nonetheless, studies are still scarce and widely controversial. The aim of this study is to provide a comprehensive systematic review on the possible complications associated to autoantibodies (AA) impeding the chances of a successful IVF cycle. An Embase, PubMed/Medline and Cochrane Central Database search was performed on 1 December 2018, from 2006 until that date. From the 598 articles yielded in the search only 44 relevant articles ultimately fulfilled the inclusion criteria and were qualitatively analyzed. Five subsets of results were identified, namely, thyroid related AA, anti-phospholipid antibodies, anti-nuclear antibodies, AA affecting the reproductive system and AA related to celiac disease. It may be implied that the majority of auto-antibodies exert a statistically significant effect on miscarriage rates, whereas the effects on clinical pregnancy and live birth rates differ according to the type of auto-antibodies. While significant research is performed in the field, the quality of evidence provided is still low. The conduction of well-designed prospective cohort studies is an absolute necessity in order to define the impact of the different types of autoantibodies on IVF outcome.