Measuring foetal heart rate (FHR) is critical for assessing foetal well-being, and traditional cardiotocography (CTG), though effective, has limitations such as cost, accessibility and observer bias. Newer non-invasive foetal ECG (NIFECG) devices offer more precise, reliable metrics for FHR variability and could enable remote monitoring, potentially improving early detection of foetal complications like hypoxia and stillbirth.

This is a single-centre prospective cohort study taking place in a tertiary maternity unit in the UK. Women with a singleton pregnancy over 26⁺⁰ weeks will be approached for participation in the control, foetal growth restriction (FGR) or diabetic groups. The NIFECG home monitoring schedule is 60 min daily for 7 days in the control group, daily from diagnosis until delivery for the FGR group, and daily from 36 weeks until delivery in the Insulin-dependent diabetic group. Longitudinal FHR raw ECG signals will be collected from participants across different gestational age ranges. Reference standards for FHR variability using metrics such as short-term variation, phase-rectified signal averaging acceleration and deceleration capacity will be established. The study will also aim to explore differences in FHR variability in FGR cases against controls and propose safety thresholds to guide decision-making for delivery.

Approvals have been obtained from the London Stanmore Research Ethics Committee and from the Medicines and Healthcare Regulatory Agency. The results will be published in peer-reviewed journals, presented at conferences and used by the commercial sponsor to pursue European Conformity regulatory compliance marking and future clinical studies.

NCT06497205.

Time-lapse imaging (TLI) systems for embryo incubation and assessment are hypothesised to improve the success rates of in vitro fertilisation (IVF) treatment by providing undisturbed culture conditions for embryos and/or providing more information on embryo development (morphokinetic parameters) to improve predictive accuracy for embryo selection. Despite numerous aggregate meta-analyses showing uncertainty of benefit, IVF clinics globally continue to invest significant resources into this technology with little translation of evidence into guidelines or policy frameworks. This may be attributed to heterogeneity in participant populations and/or variations in the use of TLI, as highlighted in the aggregate meta-analyses.

Our research proposal for evidence synthesis using individual participant data meta-analysis will provide greater power than aggregate meta-analysis to detect differential treatment effects for effectiveness (live birth, clinical pregnancy) and safety (pregnancy loss, multiple births, congenital malformations) outcomes across three comparisons (overall effect, undisturbed culture and morphokinetic parameters). We will also analyse if there are specific subgroups of women who may benefit from the intervention and if variations in use of the intervention show any benefits. We have incorporated the results of the literature search used for the latest Cochrane review (7 January 2019) into this review and will include all the trials included therein. We will further update the literature search to include new evidence by searching the electronic databases MEDLINE, EMBASE, CINAHL and CENTRAL from 07/01/2019 to date, outcomes for all ongoing trials reported in the 2019 Cochrane review, trial registers for newer ongoing/completed trials and the citation lists of all the newly identified trials for any relevant references. The search strategy will include a combination of subject headings and text words relating to or describing the participants and the intervention, with no language restrictions. Two authors will independently screen the titles and abstracts, and full text of articles retrieved from the search, to finalise a list of trials suitable for inclusion in the review. We will include randomised controlled trials that assess TLI systems for either undisturbed culture and/or use of morphokinetic parameters for embryo selection in women having IVF/ICSI treatment using their own oocytes.

Ethical approval is not required for this study. We plan to disseminate the findings of the research to all stakeholders, including the National Institute for Health and Care Excellence and other international guideline development groups, through publication in peer-reviewed journals, presentation at conferences, newsletters, meetings and websites of the funders, fertility charities and patient support groups.

CRD42024564332.

Hypertensive disorders of pregnancy (HDP), including gestational hypertension and pre-eclampsia, affect approximately 10% of pregnancies worldwide and contribute significantly to fetal and maternal morbidity and mortality. Early identification of HDP would facilitate targeted surveillance and personalised care in order to mitigate the severity of complications and improve pregnancy outcomes. Uric acid is a marker of oxidative stress, inflammation and endothelial dysfunction, and has been proposed as a predictor of hypertensive disease. Salurate is a salivary uric acid test that has the potential to identify pregnant women at risk of developing HDP several weeks before clinical manifestation.

This is a prospective, multicentre, observational, cohort study with health economics evaluation. Women aged 16 and above, with a viable singleton pregnancy at 1:300 will be eligible for recruitment. Participants will perform weekly remote salivary uric acid testing from enrolment until the conclusion of pregnancy and upload results of colourimetric paper tests via a smartphone application. We will validate a predictive algorithm that analyses colour data from several consecutive samples to detect patterns that predict whether HDP is likely to occur. The primary outcome is test performance for the prediction of HDP. Secondary outcomes include adherence to sampling and test performance for predicting gestational diabetes, stillbirth and fetal growth restriction. Data on pregnancy outcomes will be collected from the medical notes, compared with the predictions made by the algorithm and subjected to statistical analysis.

Approval has been obtained from Cambridge East Research Ethics Committee (REC reference 24/EE/0123), Medicines and Healthcare products Regulatory Agency (CI/2024/0038/GB) and Health Research Authority (IRAS ID 337290). Results of the study will be published in peer-reviewed journals and presented at national and international conferences.

ISRCTN17992452.

4, 4 July 2024.