Photoplethysmography in hypertensive disorders of pregnancy

  • Research type

    Research Study

  • Full title

    Pilot study investigating the use of photoplethysmography in hypertensive disorders of pregnancy

  • IRAS ID

    362170

  • Contact name

    Christina Yu

  • Contact email

    christina.yu1@nhs.net

  • Sponsor organisation

    Imperial College London

  • Clinicaltrials.gov Identifier

    N/a , N/a

  • Duration of Study in the UK

    0 years, 11 months, 30 days

  • Research summary

    Hypertensive disorders of pregnancy (HDP) affect 8–10% of pregnancies and exist on a spectrum, with preeclampsia representing the most severe form. Identifying which women with hypertension will progress to preeclampsia and experience serious maternal or fetal complications remains a major clinical challenge. Current prediction models—using maternal characteristics, pressure, uterine artery Doppler, and angiogenic biomarkers—offer only modest accuracy and depend on laboratory testing or specialised ultrasound expertise, limiting their feasibility where the burden of HDP is highest.

    The ophthalmic artery (OA) Doppler is a novel approach for assessing maternal cerebrovascular haemodynamics. Its waveform includes two systolic peaks (PSV1 and PSV2). The OA peak systolic velocity ratio (PSV2/PSV1) has shown predictive performance similar to anti-angiogenic biomarkers in multivariate models. Among women with hypertension, this ratio can help distinguish preeclampsia from gestational or chronic hypertension, reflecting differences in vascular adaptation. However, OA Doppler still requires ultrasound imaging and trained operators, limiting widespread implementation.

    Photoplethysmography (PPG) offers a low-cost, non-invasive alternative that captures waveform features analogous to the OA Doppler. PPG measures blood-volume changes using light absorption and is already integrated into pulse oximeters and wearable devices. New applications, such as the D-SCAPE wearable PPG system, use raw time-series signals and deep learning to estimate blood pressure and monitor haemodynamic status in real time. Early research suggests that PPG-derived features may support prediction of blood pressure changes, evolving preeclampsia, and even differentiation of severe preeclampsia from normotension. However, the behaviour of the PPG waveform pregnancy, particularly in different hypertensive states, remains poorly characterised.

    Given its accessibility, affordability, and ability to capture haemodynamic information similar to OA Doppler, PPG may offer a scalable tool for screening and risk stratification in HDP. This study aims to characterise PPG waveforms in normotensive and hypertensive pregnancies, compare their behaviour to the OA Doppler PSV ratio and assess device acceptability among pregnant women.

  • REC name

    East Midlands - Derby Research Ethics Committee

  • REC reference

    26/EM/0098

  • Date of REC Opinion

    8 May 2026

  • REC opinion

    Favourable Opinion