The impacts of telemedicine on assisted reproduction: a systematic review and meta-analysis

Telemedicine is being applied in assisted reproduction technology (ART) to provide remote consultations, monitoring and support for patients. This study aimed to evaluate the potential advantages of telemedicine in ART treatment in the form of virtual consultations. Studies in which patients were using telemedicine during ART treatment were identified from four scientific databases (PudMed, EMBASE, Scopus, Web of Science). The success of fertility treatments was compared between telemedicine and in-office care, and patient satisfaction with ART through telemedicine was assessed. Eleven studies, comprising 4697 patients, were identified. Quality assessment (Joanna Briggs Institute Critical Appraisal and revised Cochrane risk-of-bias tools) revealed an acceptable risk of bias for both randomized controlled trials and observational studies. Using a fixed-effects model, telemedicine was comparable to in-person care regarding the pregnancy rate achieved (odds ratio 1.02, 95% confidence intervals 0.83-1.26, P = 0.83). A Q-test suggested that all the included studies were homogeneous. Patients who received telemedicine during fertility treatment reported a high level of satisfaction (91%, 95% confidence intervals 80-96%). Egger's test confirmed that no publication bias was found. Telemedicine could serve as a complementary tool during fertility treatment to facilitate patients' satisfaction and overcome some practical problems without compromising treatment outcomes. Future studies should continue exploring the potential applications of telemedicine in assisted reproduction.

The Internet of Things in assisted reproduction

The Internet of Things (IoT) is a network connecting physical objects with sensors, software and internet connectivity for data exchange. Integrating the IoT with medical devices shows promise in healthcare, particularly in IVF laboratories. By leveraging telecommunications, cybersecurity, data management and intelligent systems, the IoT can enable a data-driven laboratory with automation, improved conditions, personalized treatment and efficient workflows. The integration of 5G technology ensures fast and reliable connectivity for real-time data transmission, while blockchain technology secures patient data. Fog computing reduces latency and enables real-time analytics. Microelectromechanical systems enable wearable IoT and miniaturized monitoring devices for tracking IVF processes. However, challenges such as security risks and network issues must be addressed through cybersecurity measures and networking advancements. Clinical embryologists should maintain their expertise and knowledge for safety and oversight, even with IoT in the IVF laboratory.

Telehealth for infertile patients during SARS-CoV-2 pandemic: far, and yet close

BACKGROUND

In Italy during the first pandemic wave of SARS-CoV-2 the activity of fertility centers was stopped, with the exception of fertility preservation in oncological patients. We adopted telehealth and we evaluated whether it could help in the management of infertile couples at a fertility center.

METHODS

A longitudinal study performed at a public fertility center. Telehealth was offered to 72 couples referred to our center for a first consultation from March 17th to May 31st, 2020. Percentage of patients who performed the first assisted reproduction technology (ART) cycle or intrauterine insemination (IUI) within 6 months from the first visit and drop-out rate were analyzed during COVID-19 pandemic and compared to historical controls (couples admitted to our center in 2017-2019).

RESULTS

Eighty-five (61/72) percent of the couples accepted telehealth. Time to first treatment after online consultation in telehealth group (4.5±1.8 months) was significantly shorter (P=0.033) respect to time to first treatment after face-to-face visit of historical controls (7.5±6.9 months). After telehealth consultation, we observed a significant reduction (P=0.002) of drop-out rate from 39% in historical controls to 17% of telehealth group. Telehealth significantly diminished the drop-out rate also during the COVID-19 pandemic respect to 73% after traditional face-to-face visits (P=0.0005), with a time to first treatment of 3.7±2.1 months in couples who refused telehealth.

CONCLUSIONS

Telehealth could be a useful tool to facilitate the path of patients in a fertility center.

The Future of IVF: The New Normal in Human Reproduction

Increased demand for in vitro fertilization (IVF) due to socio-demographic trends, and supply facilitated by new technologies, converged to transform the way a substantial proportion of humans reproduce. The purpose of this article is to describe the societal and demographic trends driving increased worldwide demand for IVF, as well as to provide an overview of emerging technologies that promise to greatly expand IVF utilization and lower its cost.

Self-Monitoring of Urinary Hormones in Combination with Telemedicine - a Timely Review and Opinion Piece in Medically Assisted Reproduction

Cycle monitoring via ultrasound and serum-based hormonal assays during medically assisted reproduction (MAR) can provide information on ovarian response and assist in optimizing treatment strategies in addition to reducing complications such as ovarian hyperstimulation syndrome (OHSS). Two surveys conducted in 2019 and 2020, including overall 24 fertility specialists from Europe, Asia and Latin America, confirmed that the majority of fertility practitioners routinely conduct hormone monitoring during MAR. However, blood tests may cause inconvenience to patients. The reported drawbacks of blood tests identified by the survey included the validity of results from different service providers, long waiting times and discomfort to patients due to travelling to clinics for tests and repeated venepunctures. Historically, urine-based assays were used by fertility specialists in clinics but were subsequently replaced by more practical and automated serum-based assays. A remote urine-based hormonal assay could be an alternative to current serum-based testing at clinics, reducing the inconvenience of blood tests and the frequency of appointments, waiting times and patient burden. Here we provide an overview of the current standard of care for cycle monitoring and review the literature to assess the correlation between urine-based hormonal assays and serum-based hormonal assays during MAR. In addition, in this review, we discuss the evidence supporting the introduction of remote urine-based hormonal monitoring as part of a novel digital health solution that includes remote ultrasound and tele-counselling to link clinics and patients at home.

Is home-based monitoring of ovulation to time frozen embryo transfer a cost-effective alternative for hospital-based monitoring of ovulation? Study protocol of the multicentre, non-inferiority Antarctica-2 randomised controlled trial

STUDY QUESTION

The objective of this trial is to compare the effectiveness and costs of true natural cycle (true NC-) frozen embryo transfer (FET) using urinary LH tests to modified NC-FET using repeated ultrasound monitoring and ovulation trigger to time FET in the NC. Secondary outcomes are the cancellation rates of FET (ovulation before hCG or no dominant follicle, no ovulation by LH urine test, poor embryo survival), pregnancy outcomes (miscarriage rate, clinical pregnancy rates, multiple ongoing pregnancy rates, live birth rates, costs) and neonatal outcomes (including gestational age, birthweight and sex, congenital abnormalities or diseases of babies born).

WHAT IS KNOWN ALREADY

FET is at the heart of modern IVF. To allow implantation of the thawed embryo, the endometrium must be prepared either by exogenous oestrogen and progesterone supplementation (artificial cycle (AC)-FET) or by using the NC to produce endogenous oestradiol before and progesterone after ovulation to time the transfer of the thawed embryo (NC-FET). During an NC-FET, women visit the hospital repeatedly and receive an ovulation trigger to time FET (i.e. modified (m)NC-FET or hospital-based monitoring). From the woman’s point of view, a more natural approach using home-based monitoring of the ovulation with LH urine tests to allow a natural ovulation to time FET may be desired (true NC-FET or home-based monitoring).

STUDY DESIGN, SIZE, DURATION

This is a multicentre, non-inferiority prospective randomised controlled trial design. Consenting women will undergo one FET cycle using either true NC-FET or mNC-FET based on randomisation.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Based on our sample size calculation, the study group will consist of 1464 women between 18 and 45 years old who are scheduled for FET. Women with anovulatory cycles, women who need ovulation induction and women with a contra indication for pregnancy will be excluded. The primary outcome is ongoing pregnancy. Secondary outcomes are cancellation rates of FET, pregnancy outcomes (including miscarriage rate, clinical pregnancy, multiple pregnancy rate and live birth rate). Costs will be estimated by counting resource use and calculating unit prices.

STUDY FUNDING/COMPETING INTEREST(S)

The study received a grant from the Dutch Organisation for Health Research and Development (ZonMw 843002807; www.zonmw.nl). ZonMw has no role in the design of the study, collection, analysis, and interpretation of data or writing of the manuscript. F.B. reports personal fees from member of the external advisory board for Merck Serono, grants from Research support grant Merck Serono, outside the submitted work. A.E.P.C. reports and Unrestricted grant of Ferring B.V. to the Center for Reproductive medicine, no personal fee. Author up-to-date on Hyperthecosis. Congress meetings 2019 with Ferring B.V. and Theramex B.V. M.G. reports Department research and educational grants from Guerbet, Merck and Ferring (location VUMC) outside the submitted work. E.R.G. reports personal fees from Titus Health Care, outside the submitted work. C.B.L. reports grants from Ferring, grants from Merck, from Guerbet, outside the submitted work. The other authors have none to declare.

TRIAL REGISTRATION NUMBER

Dutch Trial Register (Trial NL6414 (NTR6590), https://www.trialregister.nl/).

TRIAL REGISTRATION DATE

23 July 2017

DATE OF FIRST PATIENT’S ENROLMENT

10 April 2018

Monitoring of stimulated cycles in assisted reproduction (IVF and ICSI)

BACKGROUND

Monitoring of in vitro fertilisation (IVF) and intra-cytoplasmic sperm injection (ICSI) is necessary to detect as well as reduce the incidence and severity of ovarian hyperstimulation syndrome (OHSS) whilst achieving the optimal ovarian response needed for assisted reproduction treatment. Traditional monitoring of ovarian hyperstimulation during in vitro fertilisation IVF and ICSI treatment has included transvaginal ultrasonography (TVUS) plus serum estradiol levels. The need for combined monitoring (using TVUS and serum estradiol) during ovarian stimulation in assisted reproduction is controversial. It has been suggested that combined monitoring is time consuming, expensive and inconvenient for women and that simplification of IVF and ICSI therapy by using TVUS only should be considered.  OBJECTIVES: To assess the effect of monitoring controlled ovarian hyperstimulation (COH) in IVF and ICSI cycles in subfertile couples with TVUS only versus TVUS plus serum estradiol concentration, with respect to rates of live birth, pregnancy and OHSS.

SEARCH METHODS

In this update conducted in March 2020, two review authors searched the Cochrane Gynaecology and Fertility Group's Specialised Register, CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, the National Research Register, and web-based trial registers. There was no language restriction applied. All references in the identified trials and background papers were checked and authors were contacted to identify relevant published and unpublished data.

SELECTION CRITERIA

Only randomised controlled trials that compared monitoring with TVUS only versus TVUS plus serum estradiol concentrations in women undergoing COH for IVF and ICSI treatment were included.

DATA COLLECTION AND ANALYSIS

Two review authors (IK, AW) independently selected the studies, extracted data and assessed risk of bias. We resolved disagreements by discussion. Outcomes data were pooled and summary statistics were presented when appropriate. The quality of the evidence was rated using the GRADE methods.

MAIN RESULTS

We did not identify any new eligible studies in this update in 2020. The evidence based on the six trials identified in 2014 remained unchanged. They included 781 women undergoing monitoring of COH with either TVUS alone or a combination of TVUS and serum estradiol concentration during IVF or ICSI treatment. None of the six studies reported our primary outcome of live birth rate. Two studies presented pregnancy rate per initiated cycle and per embryo transfer, respectively. Four studies reported pregnancy rate per woman with pooled data; we are uncertain of the effect of monitoring with TVUS only versus combined monitoring on clinical pregnancy rate per woman (odds ratio (OR) 1.10; 95% confidence interval (CI) 0.79 to 1.54; four studies; N = 617; I² = 5%; low quality evidence). This suggests in women with a 36% chance of clinical pregnancy using monitoring with TVUS plus serum estradiol, the clinical pregnancy rate using TVUS only would be between 31% and 46%. We are uncertain of any effect in the mean number of oocytes retrieved per woman (mean difference (MD) 0.32; 95% CI -0.60 to 1.24; five studies; N = 596; I² = 17%; low quality evidence).  We are uncertain whether monitoring with TVUS only versus combined monitoring affected the incidence of OHSS (OR 1.03; 95% CI 0.48 to 2.20; six studies; N = 781; I² = 0%; low quality evidence), suggesting that in women with a 4% chance of OHSS using monitoring with TVUS plus serum estradiol, the OHSS rate monitored by TVUS only would be between 2% and 8%. The cycle cancellation rate was similar in both arms of two studies (0/34 versus 1/31, 1/25 versus 1/25; OR 0.57; 95% CI 0.07 to 4.39; N = 115; I² = 0%; low quality evidence).  The evidence was low quality for all comparisons. Limitations included imprecision and potential bias due to unclear randomisation methods, allocation concealment and blinding, as well as differences in treatment protocols. Quality assessment was hampered by the lack of methodological descriptions in several studies.

AUTHORS' CONCLUSIONS

This review update found no new randomised trials. Evidence from the six studies previously identified did not suggest that combined monitoring by TVUS and serum estradiol is more efficacious than monitoring by TVUS alone with regard to clinical pregnancy rates and the incidence of OHSS. The number of oocytes retrieved appeared similar for both monitoring protocols. The data suggest that both these monitoring methods are safe and reliable. However, these results should be interpreted with caution because the overall quality of the evidence was low. Results were compromised by imprecision and poor reporting of study methodology. The choice of one or the other method may depend upon the convenience of its use, and the associated costs. An economic evaluation of the costs involved with the two methods and the views of the women undergoing cycle monitoring would be welcome.

Communication with fertility patients during the COVID-19 pandemic- let's talk about it

Objective

To assess the impact of the COVID-19 pandemic on the activity of a tertiary fertility service and compare telemedicine and face-to-face meetings during this time.

Methods

This was a retrospective cohort study conducted in a university affiliated tertiary medical center. Included were patients scheduled for an appointment in the in-vitro fertilization (IVF) unit between March 18th and April 15th. A comparison was made between patients who chose telemedicine as opposed to face-to-face meetings. Additionally, the population of patients who chose to cancel their appointment was characterized. IVF cycle outcomes were additionally compared between the groups.

Results

Overall, 90 IVF clinic appointments were scheduled during the study period. Thirty-four (37.8 %) patients chose to arrive to the clinic in spite of the COVID 19 pandemic and partial quarantine, 27 (30.0 %) patients chose to avoid in person meeting and scheduled a telemedicine appointment and 29 (32.2 %) patients cancelled their appointment. On comparison between patients who chose telemedicine vs. face-to-face meeting, the telemedicine group had lower prevalence of primary infertility (20.0 % vs. 47.1 %, p = 0.037) and higher rates of preimplantation genetic testing indication for in-vitro fertilization (48.2 % vs. 20.6 %, p = 0.026). Rate of a first-ever clinic visit was higher in patients that arrived for a face-to-face meeting, as compared to telemedicine encounter (55.9 % vs. 28.0 %, respectively; p = 0.036). Patients that opted to avoid attending the clinic or meeting via telemedicine had higher rates of medical comorbidities compared to patients who chose to attend their appointment (51.7 % vs. 29.5 %, p = 0.016). Rate of appointments that led to fresh or frozen-thawed embryo transfer and these transfers' outcomes (clinical pregnancy rate) were similar in the telemedicine and face-to-face meeting groups (72.2 % vs. 88.0 % and 30.8 % vs. 31.8 %, p = 0.73 and p = 1.00; respectively).

Conclusion

Telemedicine is a valuable tool for delivering fertility care during the COVID-19 pandemic. There is need to determine which patients will benefit most from this modality.

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.

Clinical implications of telemedicine for providers and patients

The coronavirus disease 2019 (COVID-19) pandemic has resulted in paradigm shifts in the delivery of health care. Lockdowns, quarantines, and local mandates forced many physician practices around the United States to move to remote patient visits and adoption of telemedicine. This has several long-term implications in the future practice of medicine. In this review we outline different models of integrating telemedicine into both male and female fertility practices and recommendations on performing video physical examinations. Moving forward we foresee two general models of integration: one conservative, where initial intake and follow-up is performed remotely, and a second model where most visits are performed via video and patients are only seen preoperatively if necessary. We also discuss the impact THAT telemedicine has on coding and billing and our experience with patient satisfaction.

Impact of telemedicine on assisted reproduction treatment in the public health system

AIM

Telemedicine has helped to make health care more efficient. However, to date no studies have measured its impact on infertility and fertility healthcare. We assessed the potential care benefits and clinical advantages of an initiative implementing electronic patient portal (EPP) for patients scheduled to undergo assisted reproduction treatment, to reduce waiting times for medical consultation and treatment.

METHODS

This was designed as a retrospective cohort study. The experimental group comprised 1972 referral requests received by the assisted reproduction unit of our institution between 2015 and 2016, which were included in the group receiving telemedicine, while the control group was defined by 283 requests received in 2013, all of which were assigned face-to-face care.

RESULTS

We found a statistically significant reduction in the experimental group in terms of the days elapsed between the receipt of the assessment request and the first outpatient visit (68 days vs. 180 days, p<.001). Time to initiation of treatment was also significantly lower in this group (169 days vs. 229 days; p<.001). The experimental group contained around 7 times as many patients receiving treatment as the control group. No differences were observed in the pregnancy rate (29.9% vs. 31.1%; p=.77) or in the complication rate (3.2% vs. 0%; p=.16).

CONCLUSIONS

Use of telemedicine in electronic portal patient form reduces the total waiting time involved in patient requests for infertility treatment and indirectly increases the number of patients treated, causing no negative impact on treatment outcome.

Decision points for individualized hormonal stimulation with recombinant gonadotropins for treatment of women with infertility

It is essential that fertility treatment is individualized based on a thorough diagnostic work-up, with treatment tailored to the patients' requirements. This individualization should be kept in mind during the main decision points that occur before and during treatment. Treatment customization must include consideration of both the woman and her partner involved in the process together, including their collective treatment goals. Once treatment goals have been agreed and diagnostic evaluations performed, personalization based on patient characteristics, together with an understanding of treatment goals and patient preferences, enables the selection of appropriate treatments, protocols, products and their dosing. Following treatment initiation, monitoring and adaptation of product and dose can then ensure optimal outcomes. Currently, it is not possible to base treatment decisions on every characteristic of the patient and personalization is based on biomarkers that have been identified as the most relevant. However, in the future, the use of artificial intelligence coupled with continuous monitoring should enable greater individualization and improve outcomes. This review considers the current state-of-the-art related to decision points during individualized treatment of female infertility, before looking at future developments that might further assist in making individualized treatment decisions, including the use of computer-assisted decision making.

Telehealth Interventions Designed for Women: an Evidence Map

BACKGROUND

Telehealth employs technology to connect patients to the right healthcare resources at the right time. Women are high utilizers of healthcare with gender-specific health issues that may benefit from the convenience and personalization of telehealth. Thus, we produced an evidence map describing the quantity, distribution, and characteristics of evidence assessing the effectiveness of telehealth services designed for women.

METHODS

We searched MEDLINE^® (via PubMed^®) and Embase^® from inception through March 20, 2018. We screened systematic reviews (SRs), randomized trials, and quasi-experimental studies using predetermined eligibility criteria. Articles meeting inclusion criteria were identified for data abstraction. To assess emerging trends, we also conducted a targeted search of ClinicalTrials.gov .

RESULTS

Two hundred thirty-four primary studies and three SRs were eligible for abstraction. We grouped studies into focused areas of research: maternal health (n = 96), prevention (n = 46), disease management (n = 63), family planning (n = 9), high-risk breast cancer assessment (n = 10), intimate partner violence (n = 7), and mental health (n = 3). Most interventions focused on phone as the primary telehealth modality and featured healthcare team-to-patient communication and were limited in duration (e.g., < 12 weeks). Few interventions were conducted with older women (≥ 60 years) or in racially/ethnically diverse populations. There are few SRs in this area and limited evidence regarding newer telehealth modalities such as mobile-based applications or short message service/texting. Targeted search of clinical.trials.gov yielded 73 ongoing studies that show a shift in the use of non-telephone modalities.

DISCUSSION

Our systematic evidence map highlights gaps in the existing literature, such as a lack of studies in key women's health areas (intimate partner violence, mental health), and a dearth of relevant SRs. With few existing SRs in this literature, there is an opportunity for examining effects, efficiency, and acceptability across studies to inform efforts at implementing telehealth for women.

Effectiveness of Telemonitoring in Obstetrics: Scoping Review

Background

Despite reported positive results of telemonitoring effectiveness in various health care domains, this new technology is rarely used in prenatal care. A few isolated investigations were performed in the past years but with conflicting results.

Objective

The aim of this review was to (1) assess whether telemonitoring adds any substantial benefit to this patient population and (2) identify research gaps in this area to suggest goals for future research.

Methods

This review includes studies exploring the effectiveness of telemonitoring interventions for pregnant women reported in the English language. Due to the paucity of research in this area, all reports including uncontrolled nonrandomized and randomized controlled studies were selected.

Results

Fourteen studies, which performed their data collection from 1988 to 2010, met the inclusion criteria and were published from 1995 to present; four of the 14 published papers were multicenter randomized controlled trials (RCTs), five papers were single-center RCTs, three papers were retrospective studies, one paper was an observational study, and one paper was a qualitative study. Of the 14 papers, nine were available for a risk of bias assessment: three papers were classified as low risk, one as medium risk, and five as high risk. Furthermore, of those 14 papers, 13 focused on telemonitoring for maternal outcomes, and nine of the 14 papers focused on telemonitoring for fetal or neonatal outcomes. The studies reviewed report that telemonitoring can contribute to significant reductions in health care costs, (unscheduled) face-to-face visits, low neonatal birth weight, and admissions to the neonatal intensive care unit (NICU), as well as prolonged gestational age and improved feelings of maternal satisfaction when compared with a control group. When only studies with low risk of bias were taken into account, the added value of telemonitoring became less pronounced: the only added value of telemonitoring is for pregnant women who transmitted their uterine activity by telecommunication. They had significant prolonged pregnancy survivals, and the newborns were less likely to be of low birth weight or to be admitted to the NICU. Following these results, telemonitoring can only be recommended by pregnant women at risk for preterm delivery. It is however important to consider that these studies were published in the mid-90s, which limits their direct applicability given the current technologies and practice.

Conclusions

This review shows that telemonitoring can be tentatively recommended for pregnant women at risk for preterm delivery. More recent RCTs with a blinded protocol are needed to strengthen the level of evidence around this topic and to have an insight in the added value of the technologies that are available nowadays. In addition, studies investigating patient satisfaction and economic effects in relation to telemonitoring are suggested for future research.

Salivary estradiol as a surrogate marker for serum estradiol in assisted reproduction treatment

INTRODUCTION

Controlled ovarian hyper-stimulation for in vitro fertilization or intra cytoplasmatic sperm injection necessitates close monitoring using ultrasound and estradiol measurements. Monitoring is also important to prevent or limit the severity of ovarian hyper stimulation syndrome, an iatrogenic and potentially life-threatening complication. Self-operated endovaginal telemonitoring has been shown to offer an attractive and less costly alternative to classic consultation and saliva estradiol measurements could be a stress-free and practical alternative to serial blood determinations. Objectives were to evaluate whether saliva can be a surrogate marker for serum estradiol and its potential applicability in assisted reproduction treatment monitoring.

MATERIAL AND METHODS

Serial blood and saliva samples were collected from 31 patients undergoing ovarian hyper-stimulation. All patients were followed-up using in-house serial vaginal sonograms and immunoassay serum estradiol measurements. Afterwards estradiol was determined in saliva and serum by LC-MS/MS. For a subset equilibrium dialysis and measurement of free serum estradiol was performed.

RESULTS

About 1% of estradiol is present in serum in its free, unbound, form. Salivary estradiol correlates well to both serum free estradiol and serum total estradiol (r=0.80). The concentration of salivary estradiol corresponds to the unbound concentration in serum. The dynamics observed in serum monitoring during treatment are closely mimicked in saliva. ROC analysis on the current limited dataset suggested a saliva cut-off of 22pg/mL (81pmol/L) could help predict risk for OHSS.

CONCLUSIONS

Salivary E2 can be considered a surrogate marker for free serum estradiol and total serum estradiol in assisted reproduction treatment. Additionally there might be a role as a prediction marker for OHSS although this finding has to be validated in larger datasets.

Self-operated endovaginal telemonitoring: a prospective, clinical validation study

OBJECTIVE

To study the comparability of self-operated endovaginal telemonitoring (SOET) with conventional two-dimensional transvaginal sonography (2D-TVS) monitoring during assisted reproductive technology (ART) cycles.

DESIGN

Single center, observational, single-blinded cohort study.

SETTING

University-affiliated in vitro fertilization center.

PATIENT(S)

A total of 60 women undergoing ART cycles.

INTERVENTION(S)

Explanation, training, and use of SOET system, and measurements of follicular and endometrial diameter with SOET and 2D-TVS.

MAIN OUTCOME MEASURE(S)

Correlation of the total number of follicles >10 mm measured by SOET versus conventional 2D-TVS.

RESULT(S)

In 16 cases (26.7%) the images were judged unsuitable for analysis. In these excluded cases the body mass index (BMI) was statistically significantly higher (29.3 vs. 24.4 kg/m(2)). The total number of follicles >10 mm was highly similar comparing SOET with conventional 2D-TVS (r = 0.91). For the concordance of whether more than 19 follicles or more than 25 follicles >10 mm were present, we found agreement between the methods in 43 of 44 cases (κ = 0.88) and 43 of 44 cases (κ = 0.85), respectively. For concordance on predefined human chorionic gonadotropin administration criteria, agreement was found in 39 of 44 cases (κ = 0.734).

CONCLUSION(S)

The incidence of SOET videos not suitable for analysis seems to be associated with higher BMI. Otherwise, SOET showed good agreement with conventional 2D-TVS both for follicles and endometrium measurements. More importantly we also found good concordance regarding the cutoffs relevant for clinical decisions.