The cost of a euploid embryo identified from preimplantation genetic testing for aneuploidy (PGT-A): a counseling tool

Economics of Fertility Care

Family building is a human right. The high cost and lack of insurance coverage associated with fertility treatments in the United States have made treatment inaccessible for many patients. The universal uptake of "add-on" services has further contributed to high out-of-pocket costs. Expansion in access to infertility care has occurred in several states through implementation of insurance mandates, and more employers are offering fertility benefits to attract and retain employees. An understanding of the economic issues shaping fertility should inform future policies aimed at promoting evidence-based practices and improving access to care in the United States.

Addressing ethical issues related to prenatal diagnostic procedures

BACKGROUND

For women of advanced maternal age or couples with high risk of genetic mutations, the ability to screen for embryos free of certain genetic mutations is reassuring, as it provides opportunity to address age-related decline in fertility through preimplantation genetic testing. This procedure has potential to facilitate better embryo selection, improve implantation rates with single embryo transfer and reduce miscarriage rates, among others, yet confers some risk to the embryo and additional costs of assisted reproductive technology. This raises questions whether, when and which patients should receive routine PGT-A prior to embryo transfer.

DISCUSSION

Prenatal diagnostic procedures refer to tests done when one or both genetic parents has a known genetic disorder (or has worries about the disorder) and testing is performed on them, their gametes or on the embryos to determine if the latter is likely to carry a genetic disorder. PGT is used to identify genetic defects in gametes or embryos (often created through in vitro fertilization (IVF). The procedures generate immense potential to improve health and wellbeing by preventing conception or birth of babies with undesirable traits, life-limiting conditions and even lethal conditions. However, they generate a lot of information, which often may challenge decision-making ability of healthcare providers and parents, and raise ethical challenges.

CONCLUSION

Prenatal diagnostic procedures have potential to address uncertainty and risk of having a child affected with a genetic disease. They, however, often raise own uncertainty and controversies, whose origin, manifestation and related ethical issues are presented. There is need to develop individual and couple decision support tools that incorporate patients' values and concerns in the decision-making process in order to promote more informed decisions, during counseling.

The age-related required number of zygotes estimated from prior clinical studies of preimplantation genetic testing for aneuploidy (PGT-A)

Women who are undergoing preimplantation genetic testing for aneuploidy (PGT-A) often wish to know how many eggs will be required to optimize the chances of a live birth. However, no precise data on this can yet be provided during genetic counseling for this procedure. On the basis of PGT-A data from related studies and current databases, we have estimated that the number of zygotes required for a 50% chance of a live birth is 8 at age 40 but increases markedly to 21 at age 43. PGT-A markedly reduces the miscarriage rate per embryo transfer but does not alleviate the extremely high number of zygotes required for a live birth in women of an advanced maternal age. Detailed genetic counseling will therefore be desirable prior to undergoing this procedure.

The impact of insurance mandates on donor oocyte utilization: an analysis of 39,338 donor oocyte cycles from the Society for Assisted Reproductive Technology registry

BACKGROUND

A total of 19 states passed legislation mandating insurance coverage of assisted reproductive technology, and out-of-pocket costs associated with in vitro fertilization vary significantly depending on the region. Consequently, it has been observed that assisted reproductive technology utilization differs regionally and is associated with the presence of an insurance mandate. However, it is unknown whether regional differences exist among patients using donor oocytes.

OBJECTIVE

This study aimed to determine the patient and cycle-specific parameters associated with the use of donor oocytes according to the insurance mandate status of the Society for Assisted Reproductive Technology clinic in which the assisted reproductive technology cycle was performed.

STUDY DESIGN

This study was a retrospective cohort study using national data collected from the Society for Assisted Reproductive Technology registry for 39,338 donor oocyte cycles and 242,555 autologous oocyte cycles performed in the United States from January 1, 2014, to December 31, 2016. Cycles were stratified by insurance mandate of the state in which the assisted reproductive technology cycle was performed: comprehensive (coverage for at least 4 cycles of assisted reproductive technology), limited (coverage limited to 1-3 assisted reproductive technology cycles), offer (insurance mandates exist but exclude assisted reproductive technology treatment), and no mandate. The primary outcome was the number of previous autologous assisted reproductive technology cycles of the recipient. The secondary outcomes included age, serum follicle stimulating hormone level, frozen donor oocyte utilization, day of embryo transfer, number of embryos transferred, clinical pregnancy rate, and live birth rate. Analyses were adjusted for day of transfer, number of embryos transferred, and age of the recipient.

RESULTS

Patients in no mandate states underwent fewer autologous assisted reproductive technology cycles (mean, 1.1; standard deviation, 1.6) before using donor oocytes than patients in offer (mean, 1.7; standard deviation, 2.5; P<.01), limited (mean, 1.5; standard deviation, 2.5; P<.01), and comprehensive (mean, 1.7; standard deviation, 2.0; P<.01) states. Patients in no mandate states were more likely to use frozen oocytes than patients in offer (relative risk, 0.54; 95% confidence interval, 0.52-0.57), limited (relative risk, 0.50; 95% confidence interval, 0.46-0.54), and comprehensive (relative risk, 0.94; 95% confidence interval, 0.89-0.99) states. Clinical pregnancy and live birth rates were similar among recipients of donor oocytes, regardless of insurance mandate.

CONCLUSION

Despite similar ages and ovarian reserve parameters, patients without state-mandated insurance coverage of assisted reproductive technology were more likely to use frozen donor oocytes and undergo fewer autologous in vitro fertilization cycles than their counterparts in partial or comprehensive insurance coverage states. These differences in donor oocyte utilization highlight the financial barriers associated with pursuing assisted reproductive technology in uninsured states.

The cost-effectiveness of preimplantation genetic testing for aneuploidy in the United States: an analysis of cost and birth outcomes from 158,665 in vitro fertilization cycles

BACKGROUND

A controversial and unresolved question in reproductive medicine is the utility of preimplantation genetic testing for aneuploidy as an adjunct to in vitro fertilization. Infertility is prevalent, but its treatment is notoriously expensive and typically not covered by insurance. Therefore, cost-effectiveness is critical to consider in this context.

OBJECTIVE

This study aimed to analyze the cost-effectiveness of preimplantation genetic testing for aneuploidy for the treatment of infertility in the United States.

STUDY DESIGN

As reported to the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System, a national data registry, in vitro fertilization cycles occurring between 2014 and 2016 in the United States were analyzed. A probabilistic decision tree was developed using empirical outputs to simulate the events and outcomes associated with in vitro fertilization with and without preimplantation genetic testing for aneuploidy. The treatment strategies were (1) in vitro fertilization with intended preimplantation genetic testing for aneuploidy and (2) in vitro fertilization with transfers of untested embryos. Patients progressed through the treatment model until they achieved a live birth or 12 months after ovarian stimulation. Clinical costs related to both treatment strategies were extracted from the literature and considered from both the patient and payer perspectives. Outcome metrics included incremental cost (measured in 2018 US dollars), live birth outcomes, incremental cost-effectiveness ratio, and incremental cost per live birth between treatment strategies.

RESULTS

The study population included 114,157 first fresh in vitro fertilization stimulations and 44,508 linked frozen embryo transfer cycles. Of the fresh stimulations, 16.2% intended preimplantation genetic testing for aneuploidy and 83.8% did not. In patients younger than 35 years old, preimplantation genetic testing for aneuploidy was associated with worse clinical outcomes and higher costs. At age 35 years and older, preimplantation genetic testing for aneuploidy led to more cumulative births but was associated with higher costs from both perspectives. From a patient perspective, the incremental cost per live birth favored the no preimplantation genetic testing for aneuploidy strategy from the <35 years age group to the 38 years age group and beginning at age 39 years favored preimplantation genetic testing for aneuploidy. From a payer perspective, the incremental cost per live birth favored preimplantation genetic testing for aneuploidy regardless of patient age.

CONCLUSION

The cost-effectiveness of preimplantation genetic testing for aneuploidy is dependent on patient age and perspective. From an economic perspective, routine preimplantation genetic testing for aneuploidy should not be universally adopted; however, it may be cost-effective in certain scenarios.

Comparison of Patients' Ethical Perspectives of Preimplantation Embryo Genetic Testing for Aneuploidy (PGT-A) vs. Monogenic Disorders (PGT-M)

What are the ethical perspectives of preimplantation genetic testing in patients using/considering PGT-A compared to those using/considering PGT-M? A 17-item questionnaire administered online was used to assess ethical perspectives in US patients who recently used/considered PGT-A (n=80) vs. those who used/considered PGT-M (n=72). Kruskal-Wallis, Chi-square, and Fisher exact tests were conducted with STATA. Most PGT-A and PGT-M users/considerers supported using PGT to screen for diseases fatal in childhood (86-89%) and those causing lifelong disabilities (76-79%) and opposed using PGT to screen for non-medical physical (80-87%) or intellectual traits (74-86%). Both groups agreed that PGT aids in parental decision-making, although some expressed concern over its potential to lead to unforeseen consequences for society and the PGT offspring. More PGT-M than PGT-A users/considerers opposed implanting genetically abnormal embryos when requested by parents (29% PGT-A vs. 56% PGT-M, p = 0.007). For embryo disposition, more PGT-A users/considerers favored freezing (95% PGTA vs. 82% PGT-M, p = 0.018) or donating genetically normal embryos to research (73% PGT-A vs. 57% PGT-M, p = 0.044), while more PGT-M users/considerers supported donating embryos with known genetic abnormalities to research (56% PGT-A vs. 81% PGT-M, p = 0.001). Regardless of the reason for using PGT, users generally agreed on the acceptable and unacceptable uses for it, as well as the potential societal impact. PGT-M users/considerers expressed more opposition than PGT-A users/considerers to implanting embryos with a genetic alteration when requested by the parents.

Proteomics based drug repositioning applied to improve in vitro fertilization implantation: an artificial intelligence model

Embryo implantation is one of the most inefficient steps in assisted reproduction, so the identifying drugs with a potential clinical application to improve it has a strong interest. This work applies artificial intelligence and systems biology-based mathematical modeling strategies to unveil potential treatments by computationally analyzing and integrating available molecular and clinical data from patients. The mathematical models of embryo implantation computationally generated here simulate the molecular networks underneath this biological process. Once generated, these models were analyzed in order to identify potential repositioned drugs (drugs already used for other indications) able to improve embryo implantation by modulating the molecular pathways involved. Interestingly, the repositioning analysis has identified drugs considering two endpoints: (1) drugs able to modulate the activity of proteins whose role in embryo implantation is already bibliographically acknowledged, and (2) drugs that modulate key proteins in embryo implantation previously predicted through a mechanistic analysis of the mathematical models. This second approach increases the scope open for examination and potential novelty of the repositioning strategy. As a result, a list of 23 drug candidates to improve embryo implantation after IVF was identified by the mathematical models. This list includes many of the compounds already tested for this purpose, which reinforces the predictive capacity of our approach, together with novel repositioned candidates (e.g., Infliximab, Polaprezinc, and Amrinone). In conclusion, the present study exploits existing molecular and clinical information to offer new hypotheses regarding molecular mechanisms in embryo implantation and therapeutic candidates to improve it. This information will be very useful to guide future research.Abbreviations: IVF: in vitro fertilization; EI: Embryo implantation; TPMS: Therapeutic Performance Mapping System; MM: mathematical models; ANN: Artificial Neuronal Networks; TNFα: tumour necrosis factor factor-alpha; HSPs: heat shock proteins; VEGF: vascular endothelial growth factor; PPARA: peroxisome proliferator activated receptor-α PXR: pregnane X receptor; TTR: transthyretin; BED: Biological Effectors Database; MLP: multilayer perceptron.

Out-of-pocket and private pay in clinical genetic testing: A scoping review

Full coverage of the cost of clinical genetic testing is not always available through public or private insurance programs, or a public healthcare system. Consequently, some patients may be faced with the decision of whether to finance testing out-of-pocket (OOP), meet OOP expenses required by their insurer, or not proceed with testing. A scoping review was conducted to identify literature associated with patient OOP and private pay in clinical genetic testing. Seven databases (EMBASE, MEDLINE, CINAHL, PsychINFO, PAIS, the Cochrane Database of Systematic Reviews, and the JBI Evidence-Based Practice database) were searched, resulting in 83 unique publications included in the review. The presented evidence includes a descriptive analysis, followed by a narrative account of the extracted data. Results were divided into four groups according to clinical indication: (1) hereditary breast and ovarian cancer, (2) other hereditary cancers, (3) prenatal testing, (4) other clinical indications. The majority of studies focused on hereditary cancer and prenatal genetic testing. Overall trends indicated that OOP costs have fallen and payer coverage has improved, but OOP expenses continue to present a barrier to patients who do not qualify for full coverage.

The First Live Birth in Lithuania After Application of Preimplantation Genetic Testing

SUMMARY BACKGROUND

Preimplantation genetic testing (PGT) is a genetic testing procedure that is performed before the implantation of embryos for the identification of genetic abnormalities. It is commonly performed when one or both expecting parents have such abnormalities and are at a high risk of passing them to their offspring. The aim of this case report is to describe the first successful IVF/ICSI/PGT procedure in Lithuania.

CASE REPORT

A 27-year-old woman and a 31-year-old man, a married couple, were referred to VUHSK Santaros Fertility Center after trying to conceive for 4 years. In a previous relationship, the woman got pregnant spontaneously and decided to terminate the pregnancy. The husband does not have any children. During the medical examination, the transvaginal ultrasound revealed a low antral follicle count and low anti-Müllerian hormone level for the woman. Semen analysis for the male patient showed severe oligoastenospermia, which confirmed the previous abnormal spermogram results. Chromosome analysis revealed normal karyotype for the woman (46,XX) and Robertsonian translocation for the husband (45,XY,der(13;14)(q10;q10)). After the interdisciplinary medical team counselling, an ICSI with PGT-SR was suggested for the couple. The woman underwent controlled ovarian hyperstimulation with GnRH antagonist protocol for 11 days. Only one embryo with no unbalanced rearrangements was identified and transferred to the woman. On the 14th day post oocyte retrieval, the first serum β-hCG result was received - 39.5 mIU/ml, and the normal gestational sac at 5 weeks and 3 days was confirmed by ultrasound examination.

CONCLUSION

the first successful pregnancy was achieved in Lithuania and the first IVF/ICSI/PGT-SR newborn in Lithuania was born in 2019 - a vaginal birth of a healthy girl with gestational age of 38 weeks and 4 days and a weight of 2820 g; the Apgar score was 10/10. The IVF/ICSI/PGT procedure was successfully implemented by the multidisciplinary team in VUHSK.

Confidential genetic testing and electronic health records: A survey of current practices among Huntington disease testing centers

Background

Clinical care teams providing presymptomatic genetic testing often employ advanced confidentiality practices for documentation and result storage. However, patient requests for increased confidentiality may be in conflict with the legal obligations of medical providers to document patient care activities in the electronic health record (EHR). Huntington disease presents a representative case study for investigating the ways centers currently balance the requirements of EHRs with the privacy demands of patients seeking presymptomatic genetic testing.

Methods

We surveyed 23 HD centers (53% response rate) regarding their use of the EHR for presymptomatic HD testing.

Results

Our survey revealed that clinical care teams and laboratories have each developed their own practices, which are cumbersome and often include EHR avoidance. We found that a majority of HD care teams record appointments in the EHR (91%), often using vague notes. Approximately half of the care teams (52%) keep presymptomatic results of out of the EHR.

Conclusion

As genetic knowledge grows, linking more genes to late‐onset conditions, institutions will benefit from having professional recommendations to guide development of policies for EHR documentation of presymptomatic genetic results. Policies must be sensitive to the ethical differences and patient demands for presymptomatic genetic testing compared to those undergoing confirmatory genetic testing.

Thaw, biopsy and refreeze strategy for PGT-A on previously cryopreserved embryos

BACKGROUND

Preimplantation genetic testing for aneuploidy (PGT-A) with Next Generation Sequencing technology is a low-cost and powerful technology for the analysis of embryo quality. However, PGT-A requires freezing of embryos, suggesting that previously cryopreserved embryos cannot be tested. Here, we test whether use of the vitrification technique permits the refreezing of embryos, thus permitting PGT-A testing of cryopreserved embryos.

METHODS

The results are a retrospective analysis of cases performed at Create fertility between 2016 and 2017. Results obtained after traditional PGT-A are compared with results after the thaw biopsy and refreeze (TBR) procedure. A total of 220 patients were treated with PGT-A and 54 patients with the TBR procedure.

RESULTS

Maternal ages were not significantly different between the groups. The proportion of PGT-A normal embryos was not significantly different between the two groups. A clinical pregnancy rate of 61.5% was achieved with the PGT-A group and 52.4% with the TBR group. These results were not statistically significant. The efficiency of the thaw, biopsy and refreeze technique was not significantly different to that of fresh cycles for rates of survival, results obtained and aneuploidy incidence. Clinical pregnancy rates are not significantly different after the biopsy of fresh and previously cryopreserved embryos.

CONCLUSION

The data shows that the TBR procedure has an equivalent success rate to that of classical PGT-A procedures.

The demise of preimplantation genetic testing for aneuploidy (PGT-A) in Hungary and its effect on patient care

Preimplantation genetic testing for aneuploidy (PGT-A) is a suitable technique to identify euploid embryos, which have the highest potential to implant, thus increase the chance of a healthy live birth. The main indications of PGT-A are advanced maternal age, repeated implantation failure, repeated miscarriages and severe male infertility. Several studies have already proven that testing embryos for genetic abnormalities in the above cases results in higher implantation rate and reduced number of pregnancy loss. In spite of these - due to a legislative change in Hungary in 2015 - PGT-A was reclassified as an experimental procedure and its use became banned throughout the country. For this reason, after 4 years of successful practice, Hungarian patients were not able to participate in IVF procedure combined with PGT-A anymore. In this retrospective analysis, efficacy of PGT-A-based embryo selection was evaluated and was compared to the conventional morphology-based selection (MBS) in patients with advanced maternal age, between 2013 and 2017 at our private fertility clinic. PGT-A was performed with array comparative genomic hybridization. We found that implantation rate was significantly higher (43.62% vs. 27.88%; p = 0.0208) and miscarriage rate was significantly lower (17.07% vs. 37.93%; p = 0.0492) in the PGT-A group compared to the MBS group from 2013 to 2015. These outcomes were achieved with a significantly lower number of transferred embryos in the PGT-A group (1.25 vs. 1.58; p = 0.0003). In 2016-2017, the number of transferred embryos were significantly reduced in the MBS group as well (1.14 vs. 1.58; p < 0.0001). However, outcomes of the IVF treatments did not change significantly compared to the previous two years (2013-2015). Our results imply that PGT-A-based embryo selection is more efficient than morphology-based selection in patients with advanced maternal age. Therefore, prohibition of the use of PGT-A had significant consequences on the efficiency and safety of IVF treatment in the country.

Preimplantation genetic testing for aneuploidy (PGT-A): The biology, the technology and the clinical outcomes

Preimplantation genetic testing for aneuploidy (PGT-A) seeks to identify preimplantation embryos with a normal chromosome complement (euploid) during in vitro fertilisation (IVF). By sifting out embryos with abnormal chromosome numbers (aneuploid), PGT-A should theoretically improve pregnancy success. However, earlier versions of PGT-A were ineffective, and in some cases, detrimental, due to biopsy-induced trauma and because the technology at the time could analyse only a fraction of all chromosomes. More recently, the emergence of technologies enabling all chromosomes to be analysed and a switch to less traumatic blastocyst-stage biopsy have seen widespread uptake of PGT-A. Assessing the full impact of blastocyst biopsy PGT-A requires consideration of multiple factors, including embryonic mosaicism, sensitivity of the technological platform used, embryo loss during long-term in vitro culture, embryo cryopreservation and inter-clinic variability in expertise. Significantly, there hasnt yet been an appropriately designed randomised controlled trial (RCT) of blastocyst biopsy PGT-A analysed by intention-to-treat that accounts for all these parameters on a per-cycle basis. The three RCTs reporting benefits studied outcomes on a per-embryo transfer basis were small and underpowered and demonstrated benefits for a very select sub-group of good prognosis patients. The liberal use of this very expensive IVF add-on for other patient populations has not yet been shown to be effective, or indeed, without harm.