A minimally monitored assisted reproduction stimulation protocol reduces cost without compromising success

Impact of satellite clinics on geographic access to assisted reproductive technology services in the United States

BACKGROUND

Many assisted reproductive technology (ART) centers utilize satellite clinics to expand reach and access to clinical services, but their contribution to lowering geographic barriers in access to care has not been examined. This study's purpose is to determine the extent to which satellite clinics impact geographic access to ART and estimate the percentage of reproductive-age women who have geographic access to ART services.

METHODS

A systematic web-search collected the locations of all main and satellite ART clinics in the United States (US). Driving times were calculated between satellite clinics and main clinics. The percentage of women with geographic access to care was characterized by clinic type using US Census Core Based Statistical Areas (CBSAs). Logistic regression was used to statistically model the presence of main and satellite clinics as a function of CBSA median income and female reproductive-age population.

RESULTS

Four hundred sixty-nine main clinics with embryology labs and 583 satellite clinics were found in the US. Practices with satellite clinics tend to perform more ART cycles. Satellite clinics are located on average 66 minutes from their practice's main clinic and 31 minutes from any main clinic. 22% of satellite clinics were in CBSAs without a main clinic. 46 M (72%) US reproductive-age women live in a CBSA with a main clinic, 5.1 M (8%) women live in a CBSA without a main clinic but at least one satellite clinic, and 13 M (20%) women live in an area with no ART clinic of either type. Female reproductive-age population was found to be a more important predictor of clinic presence than median income.

CONCLUSIONS

The majority of satellite clinics in the US are positioned in relative proximity to a main clinic. 85% of satellite clinics are located closer to the main clinic of other practices than to their own main clinic. Less than a quarter of ART satellite clinics expand geographic access to ART services by being located in areas without a main clinic, and the vast majority of practices with satellite clinics position their satellite clinics close to another practice's main clinic.

TRIAL REGISTRATION

Not applicable.

Fertility Preservation During the COVID-19 Pandemic: Modified But Uncompromised

Purpose: Throughout COVID-19, our clinic remained operational for patients requiring urgent fertility preservation (FP). This study aimed to characterize changes to clinical protocols during the first wave of COVID-19 and compare outcomes to historical controls.

Methods: We performed a retrospective cohort study at a university fertility center examining all patients who underwent medically indicated FP cycles during the American Society for Reproductive Medicine (ASRM) COVID-19 Task Force-recommended suspension of fertility treatment (March 17–May 11, 2020) and patients from the same time period in 2019. FP care was modified for safety during the first wave of COVID-19 with fewer monitoring visits and infection control measures. FP cycle characteristics and outcomes were compared across years.

Results: The volume of cycles was nearly 30% higher in 2020 versus 2019 (27 vs. 19). Diagnoses, age, and anti-Mullerian hormone were similar between cohorts. More patients elected to pursue embryo cryopreservation over oocyte cryopreservation in 2020 versus 2019 (45.8% vs. 5.2%, p < 0.005). Patients managed during COVID-19 had fewer monitoring visits (5 ± 1 vs. 6 ± 1, p = 0.02), and 37.5% of cycles utilized a blind trigger injection. There was no difference in total days of ovarian stimulation (11 ± 1 vs. 11 ± 2, p > 0.05), but 2020 cycles utilized more gonadotropin (4770 ± 1480 vs. 3846 ± 1438, p = 0.04). There was no difference in total oocytes retrieved (19 ± 14 vs. 22 ± 12, p > 0.05) or mature oocytes vitrified (15 ± 12 vs. 17 ± 9, p > 0.05) per cycle.

Conclusions: FP continued during COVID-19, and more cycles were completed in 2020 versus 2019. Despite minimized monitoring, outcomes were optimal and equivalent to historical controls, suggesting FP care can be adapted without compromising outcomes.

A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes

OBJECTIVE

To determine whether a machine learning causal inference model can optimize trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable blastocysts for a given cohort of stimulated follicles.

DESIGN

Descriptive and comparative study of new technology.

SETTING

Tertiary academic medical center.

PATIENT(S)

Patients undergoing IVF with intracytoplasmic sperm injection from 2008 to 2019 (n = 7,866).

INTERVENTION(S)

Causal inference was performed with the use of a T-learner. Bagged decision trees were used to perform inference. The decision was framed as either triggering on that day or waiting another day. All patient characteristics and stimulation parameters on a given day were used to determine the recommendation.

MAIN OUTCOME MEASURE(S)

Average outcome improvement in total 2PNs and usable blastocysts compared with the physician's decision.

RESULT(S)

For evaluation of average outcome improvement on 2PNs, the benefit of following the model's recommendation was 3.015 (95% CI 2.626, 3.371) more 2PNs. For total usable blastocysts, the benefit was 1.515 (95% CI 1.134, 1.871) more usable blastocysts. Given that the physicians-model agreement was 52.57% and 61.89%, respectively, algorithm-assisted trigger decisions yield, on average, 1.430 more 2PNs and 0.577 more total usable blastocysts per stimulation. The most important features weighted in the model's decision were the number of follicles 16-20 mm in diameter, the number of follicles 11-15 mm in diameter, and estradiol level, in that order.

CONCLUSION(S)

The use of this machine learning algorithm to optimize trigger injection timing may lead to a significant increase in the number of 2PNs and total usable blastocysts obtained from an IVF stimulation cycle when compared with physician decisions. Future research is required to confirm these findings prospectively.

Streamlining follicular monitoring during controlled ovarian stimulation: a data-driven approach to efficient IVF care in the new era of social distancing

STUDY QUESTION

What is the optimal follicular tracking strategy for controlled ovarian stimulation (COS) in order to minimise face-to-face interactions?

SUMMARY ANSWER

As data from follicular tracking scans on Days 5, 6 or 7 of stimulation are the most useful to accurately predict trigger timing and risk of over-response, scans on these days should be prioritised if streamlined monitoring is necessary.

WHAT IS KNOWN ALREADY

British Fertility Society guidance for centres restarting ART following coronavirus disease 2019 (COVID-19) pandemic-related shutdowns recommends reducing the number of patient visits for monitoring during COS. Current evidence on optimal monitoring during ovarian stimulation is sparse, and protocols vary significantly. Small studies of simplifying IVF therapy by minimising monitoring have reported no adverse effects on outcomes, including live birth rate. There are opportunities to learn from the adaptations necessary during these extraordinary times to improve the efficiency of IVF care in the longer term.

STUDY DESIGN, SIZE, DURATION

A retrospective database analysis of 9294 ultrasound scans performed during monitoring of 2322 IVF cycles undertaken by 1875 women in a single centre was performed. The primary objective was to identify when in the IVF cycle the data obtained from ultrasound are most predictive of both oocyte maturation trigger timing and an over-response to stimulation. If a reduced frequency of clinic visits is needed due to COVID-19 precautions, prioritising attendance for monitoring scans on the most predictive cycle days may be prudent.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The study comprised anonymised retrospective database analysis of IVF/ICSI cycles at a tertiary referral IVF centre. Machine learning models are used in combining demographic and follicular tracking data to predict cycle oocyte maturation trigger timing and over-response. The primary outcome was the day or days in cycle from which scan data yield optimal model prediction performance statistics. The model for predicting trigger day uses patient age, number of follicles at baseline scan and follicle count by size for the current scan. The model to predict over-response uses age and number of follicles of a given size.

MAIN RESULTS AND THE ROLE OF CHANCE

The earliest cycle day for which our model has high accuracy to predict both trigger day and risk of over-response is stimulation Day 5. The Day 5 model to predict trigger date has a mean squared error 2.16 ± 0.12 and to predict over-response an area under the receiver operating characteristic curve 0.91 ± 0.01.

LIMITATIONS, REASONS FOR CAUTION

This is a retrospective single-centre study and the results may not be generalisable to centres using different treatment protocols. The results are derived from modelling, and further clinical validation studies will verify the accuracy of the model.

WIDER IMPLICATIONS OF THE FINDINGS

Follicular tracking starting at Day 5 of stimulation may help to streamline the amount of monitoring required in COS. Previous small studies have shown that minimal monitoring protocols did not adversely impact outcomes. If IVF can safely be made less onerous on the clinic's resources and patient's time, without compromising success, this could help to reduce burden-related treatment drop-out.

STUDY FUNDING/COMPETING INTEREST(S)

F.P.C. acknowledges funding from the NIHR Applied Research Collaboration Wessex. The authors declare they have no competing interests in relation to this work.

TRIAL REGISTRATION NUMBER

N/A.

Women's views of a fertility awareness and hormonal support approach to subfertility

The aim of this study was to determine the satisfaction among subfertile women of a fertility awareness-based approach, including hormonal therapy to achieve a pregnancy by natural conception. Eighty four women attending a natural fertility service completed a postal questionnaire exploring (1) the acceptability of the sympto-thermal method and (2) the acceptability of using hormone support. Acceptability rates for the fertility charting, clinical service and clinical care were 64.9-91.6%. Acceptability rates were higher in women who did conceive or had experienced past recurrent miscarriages. Taking hormonal luteal support, by any method, was more acceptable for women over 35 years compared to those under 35 years (100% vs. 69.4%, p = 0.014). Vaginal pessaries were the preferred route of administration. The use of a fertility awareness-based method appears to be acceptable amongst subfertile women intending to conceive naturally. Most women using such a method for conception would be open to the use of hormonal support during the fertility cycle or early pregnancy.

Oocyte yield and dysmorphisms as indicators of biological efficiency in intracytoplasmic sperm injection cycles

The aim of the study was to examine whether oocyte yield could be an indicator of morphological oocyte quality and biological competency in patients younger than 36 years undergoing controlled ovarian stimulation (COS). Three hundred and thirty-five intracytoplasmic sperm injection (ICSI) procedures were arbitrarily subdivided into five groups according to the number of retrieved oocytes. Patients' demographic characteristics and treatment success were compared among the groups. The influence of the morphological oocyte abnormalities on outcomes was also investigated. The proportion of oocytes that gave rise to viable embryos and high-quality embryos decreased significantly according to oocyte yield. Similarly, the number of foetal heartbeat per retrieved oocyte in fresh embryo transfer cycles was higher in patients with fewer oocytes collected. Finally, a negative correlation was observed between the occurrence of intracytoplasmic oocyte dysmorphisms and the number of foetal heartbeat per oocyte. High oocyte yield may be considered an indicator of low oocyte biological efficiency and intracytoplasmic dysmorphisms may contribute to this biological wastage suggesting that protocols of minimal or mild stimulation should be used.

Follicle-stimulating hormone levels and medication compliance during in vitro fertilization

OBJECTIVE

To report the use of serum FSH levels during gonadotropin therapy for IVF to ensure medication compliance.

DESIGN

Case report.

SETTING

University-based reproductive endocrinology clinic.

PATIENT(S)

Two women with normal ovarian reserve undergoing IVF cycles with unexpected clinical responses.

INTERVENTION(S)

FSH laboratory values.

MAIN OUTCOME MEASURE(S)

Ovarian follicular development.

RESULT(S)

Adequate follicular response leading to oocyte retrieval.

CONCLUSION(S)

Determination of serum FSH levels may help detect noncompliance with recommended gonadotropin regimens during IVF.

Assessment of endometrial receptivity by Color Doppler and ultrasound imaging

Introduction: Color Doppler sonography is a new method used to investigate changes during the menstrual cycle in infertile women. The objective of this study was to investigate the correlation of uterine and endomterial-subendomterial blood flow in infertile women using ultrasound and color Doppler sonography. Material and methods: A prospective clinical study included 65 infertile women divided into three groups. Transvaginal ultrasound examination was performed on days XI, XIV and XX. All results were statistically analyzed. We investigated the correlation between cycles, pregnancy outcome and distribution of endomterial-subendomterial blood flow, as well as uterine arterial blood flow. Results and conclusion: Endomterial-subendometerial blood flow distribution pattern assessed by transvaginal color Doppler, as well as good flow in uterine vessels, are necessery for good pregnancy rates. Thin endomterium, undetectable subendomterial blood flow and higher uterine arterial resistance, were associated with low pregnancy rate and poor outcome.

Optimal stimulation protocols for in vitro fertilization

OBJECTIVE

To update clinicians on different gonadotropin regimens for ovarian stimulation for IVF including the use of urinary and recombinant gonadotropins, the value of added LH to FSH in the stimulation regimen, the use of GnRH agonists and antagonists, and the role of minimal stimulation protocols.

DESIGN

Literature review and critical analysis of major articles during the last five years on ovarian stimulation for IVF.

CONCLUSION(S)

Urinary and recombinant gonadotropins, for ovarian stimulation for IVF, are probably equally safe and effective. The higher cost for recombinant products limits their worldwide use in IVF. Conflicting data exist regarding the benefit of adding LH to FSH in the stimulation regimens. The use of different GnRH-agonists, of varying potency, may account for different levels of LH suppression. Adding LH should be considered in severe situations of LH suppression such as with the use of potent GnRH-agonists or when GnRH-antagonists are introduced during the course of stimulation. GnRH-antagonists provide advantages to patients in terms of fewer injections, shorter stimulation days, and avoidance of adverse effects of agonists. The incidence of ovarian hyperstimulation syndrome is probably less with antagonists compared to agonists, with the option to use an agonist as a surrogate LH surge. Fixed and early start of the antagonist is probably more effective than an individualized and late start. The earlier reported lower pregnancy rates with antagonists compared to agonists is not fully understood and needs to be continually monitored. Minimal stimulation protocols using a combination of clomiphene citrate and gonadotropins are attractive and should be considered in some patients owing to lower costs and acceptable success rates. The optimal stimulation protocol for IVF should be an individualized regimen based on the patient's ovarian physiology and prior IVF experience, if any.