Ophthalmic artery Doppler in the prediction of preeclampsia

Maternal vascular-placental axis in the third trimester in women with gestational diabetes mellitus, hypertensive disorders, and unaffected pregnancies

BACKGROUND

Hypertensive disorders of pregnancy and gestational diabetes mellitus are characterized by vascular dysfunction and are associated with long term cardiovascular risks.

OBJECTIVE

This study aimed to compare different markers of maternal vascular function in women with gestational diabetes mellitus, preeclampsia, or gestational hypertension and in women whose pregnancies were unaffected by these complications and to assess the association between maternal vascular function and markers of placental perfusion and maternal vascular-placental axis in 4 groups of women.

STUDY DESIGN

This was a prospective observational study of women who had routine hospital visits at 35 0/7 to 36 6/7 weeks of gestation at King's College Hospital, London, United Kingdom. The routine hospital visit included recording of maternal demographic characteristics and medical history, ultrasound examination for fetal anatomy and growth, Doppler studies of the uterine arteries and ophthalmic arteries, carotid-femoral pulse wave velocity measurements, estimation of the augmentation index and total peripheral resistance, and measurements of serum placental growth factor and soluble fms-like tyrosine kinase 1. Linear regression analysis was performed for the outcomes of uterine artery pulsatility index multiple of the median, placental growth factor multiple of the median, and soluble fms-like tyrosine kinase 1 multiple of the median. The ophthalmic artery peak systolic velocity ratio, pulse wave velocity, augmentation index, and total peripheral vascular resistance were assessed as potential predictors. This analysis was performed on all women and separately in the different groups.

RESULTS

The study population of 6502 women included 614 (9.4%) with gestational diabetes mellitus, 140 (2.1%) who subsequently developed preeclampsia, and 129 (2.0%) who developed gestational hypertension. Women with gestational diabetes mellitus had increased pulse wave velocity compared with those with pregnancies unaffected by gestational diabetes mellitus, preeclampsia, or gestational hypertension. Women with preeclampsia or gestational hypertension had lower placental growth factor multiple of the median and higher uterine artery pulsatility index multiple of the median, soluble fms-like tyrosine kinase 1 multiple of the median, augmentation index, pulse wave velocity, total peripheral resistance, and ophthalmic artery peak systolic velocity ratio than those with unaffected pregnancies. In women with unaffected pregnancies, the ophthalmic artery peak systolic velocity ratio was predictive of the uterine artery pulsatility index multiple of the median, and ophthalmic artery peak systolic velocity ratio, augmentation index, total peripheral resistance, and pulse wave velocity were predictive of the placental growth factor multiple of the median and the soluble fms-like tyrosine kinase 1 multiple of the median. In women with gestational diabetes mellitus, the ophthalmic artery peak systolic velocity ratio was predictive of the uterine artery pulsatility index multiple of the median; the ophthalmic artery peak systolic velocity ratio, total peripheral resistance, and pulse wave velocity were predictive of the placental growth factor multiple of the median; and total peripheral resistance was predictive of the soluble fms-like tyrosine kinase 1 multiple of the median. In women with preeclampsia, the ophthalmic artery peak systolic velocity ratio was predictive of the uterine artery pulsatility index multiple of the median, placental growth factor multiple of the median, and soluble fms-like tyrosine kinase 1 multiple of the median. In women unaffected by gestational diabetes mellitus, preeclampsia, or gestational hypertension, the ophthalmic artery peak systolic velocity ratio was predictive of the uterine artery pulsatility index multiple of the median, and the augmentation index, total peripheral resistance, pulse wave velocity, and the ophthalmic artery peak systolic velocity ratio were predictive of the placental growth factor multiple of the median and the soluble fms-like tyrosine kinase 1 multiple of the median.

CONCLUSION

In the third trimester of pregnancy, women with preeclampsia, gestational hypertension, and gestational diabetes mellitus present with increased arterial stiffness. In addition, women diagnosed with hypertensive complications showed increased peripheral vascular resistance. The ophthalmic artery peak systolic velocity ratio provided predictive information for placental perfusion and function in all pregnant women, whereas vascular indices were more informative for placental function in women with unaffected pregnancies and those with gestational diabetes mellitus than in those with preeclampsia or gestational hypertension. Our data suggest that vascular assessment in women during pregnancy not only may provide information about maternal vascular health but also can be used to provide information about individual risk factors for placental insufficiency. The selection of the vascular index will have to be tailored according to the maternal profile and pregnancy complication.

Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening

BACKGROUND

Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for the early detection of preeclampsia (PE). However, the current methods for selecting disease-specific biomarkers are often inefficient and typically one-dimensional.

PURPOSE

This study introduces a Pyramid Scene Parsing Network (PSPNet) model to predict PE, aiming to improve early risk assessment using cfRNA profiles.

METHODS

The theoretical maximum Preeclamptic Risk Index (PRI) of patients clinically diagnosed with PE is defined as "1", and the control group (NP) is defined as "0", referred to as the clinical PRI. A data preprocessing algorithm was used to screen relevant cfRNA indicators for PE. The cfRNA expression profiles were obtained from the Gene Expression Omnibus (GSE192902), consisting of 180 normal pregnancies (NP) and 69 preeclamptic (PE) samples, collected at two gestational time points: ≤ 12 weeks and 13-20 weeks. Based on the differences in cfRNA expression profiles, the Calculated Ground Truth values of the NP and PE groups in the sequencing data were acquired (Calculated PRI). The differential algorithm was embedded in the PSPNet neural network and the network was then trained using the generated dataset. Subsequently, the real-world sequencing dataset was used to validate and optimize the network, ultimately outputting the PRI values of the healthy control group and the PE group (PSPNet-based PRI). The model's predictive ability for PE was evaluated by comparing the fit between Calculated PRI (Calculated Ground Truth) and PSPNet-based PRI.

RESULTS

The mean absolute error (MAE) between the Calculated Ground Truth the PSPNet-based PRI was 0.0178 for cfRNA data sampled at ≤ 12 gws and 0.0195 for data sampled at 13-20 gws. For cfRNA data sequenced at ≤ 12 gws and 13-20 gws, the corresponding loss values, maximum absolute errors, peak-to-valley error values, mean absolute errors, and average prediction times per sample were 0.0178 (0.0195).

CONCLUSIONS

The present PSPNet model is reliable and fast for cfRNA-based PE prediction and its PRI output allows for continuous PE risk monitoring, introducing an innovative and effective method for early PE prediction. This model enables timely interventions and better management of pregnancy complications, particularly benefiting densely populated developing countries with high PE incidence and limited access to routine prenatal care.

Evidence that systemic vascular resistance is increased before the development of gestational diabetes mellitus

BACKGROUND

The ophthalmic artery, which is the first branch of the internal carotid artery, has a Doppler velocity waveform with 2 systolic peaks. The ratio of the peak systolic velocity of the second wave divided by that of the first wave is used to reflect increased peripheral resistance. Previous studies in the first, second, and third trimesters of pregnancy have reported that in pregnant women who subsequently develop preeclampsia, the peak systolic velocity ratio is increased. Both preeclampsia and gestational diabetes mellitus are associated with endothelial dysfunction and an increased risk for cardiovascular diseases during the first decade after pregnancy.

OBJECTIVE

This study aimed to compare the ophthalmic artery peak systolic velocity ratio at 11 to 13 weeks' gestation of women who subsequently develop gestational diabetes mellitus with that of unaffected pregnant women and those who develop preeclampsia.

STUDY DESIGN

This was a prospective observational study of women who attended the King's College Hospital, London, United Kingdom, for a routine hospital visit at 11+0 to 13+6 weeks' gestation. This visit included recording of the maternal demographic characteristics and medical history, an ultrasound examination for fetal anatomy and growth, assessment of the flow velocity waveforms from the maternal ophthalmic arteries, calculation of the peak systolic velocity ratio, and measurement of the mean arterial pressure. Linear regression was performed to predict the ophthalmic artery peak systolic velocity ratio based on maternal characteristics and the mean arterial pressure. The peak systolic velocity ratio in the group with gestational diabetes mellitus was compared with that of preeclamptic and unaffected pregnancies.

RESULTS

A total of 3999 women were included in this study, including 375 (9.8%) who developed gestational diabetes mellitus and 101 (2.5%) who developed preeclampsia. In the gestational diabetes mellitus group, 161 (43.3%) were treated by diet alone, 130 (34.1%) were treated with metformin, and 84 (22.6%) received insulin with or without metformin. Prediction of peak systolic velocity ratio was provided by development of preeclampsia, maternal age, body mass index, mean arterial pressure, first-degree family history of diabetes mellitus, family history of preeclampsia, Asian ethnicity, and smoking. There was no significant contribution from gestational diabetes mellitus. Among women who developed gestational diabetes mellitus that required insulin treatment, the ophthalmic artery peak systolic velocity ratio (0.67±0.09) was higher (P<.001) than that in unaffected pregnancies (0.63±0.10), but it was not significantly different from that in the preeclampsia group (0.69±0.10; P=.90).

CONCLUSION

Among women who developed severe gestational diabetes mellitus that required insulin treatment, there was evidence of increased peripheral resistance, which was apparent from the first trimester of pregnancy.

Ophthalmic Artery Doppler as a Predictor of Adverse Neonatal Outcomes in Women With Preeclampsia

OBJECTIVE

This study aimed to evaluate the association between ophthalmic artery (OA) Doppler indices and adverse neonatal outcomes in women with pregnancies complicated by preeclampsia (PE).

METHODS

A prospective cross-sectional study involving 110 pregnant women who were diagnosed with PE in the first 24 h of hospitalization was conducted at three hospitals in southeastern Brazil from April 2020 to December 2022. The ophthalmic parameters analyzed were the resistance index (RI), pulsatility index (PI), first peak systolic velocity (PSV1), second peak systolic velocity (PSV2), ratio of PSV2 to PSV1 (PSV ratio or the peak ratio [PR]), and end-diastolic velocity (EDV). The outcome measures were neonatal death (during hospitalization), neonatal intensive care unit (ICU) admission, gestational age at delivery < 32 weeks, birth weight < 1500 g, birth weight < 10th percentile, the presence of comorbidities associated with prematurity, the use of invasive mechanical ventilation, an Apgar score at the 5th minute < 7.0, and signs of neurological impairment.

RESULTS

Pregnant women with severe features of PE showed higher values of systolic (152.8 ± 20.7 vs. 136.3 ± 11.9, p = 0.000) and diastolic (98.1 ± 12.8 vs. 88.1 ± 10.8, p = 0.000) blood pressure values and lower gestational age at admission (31.5 ± 3.8 vs. 33.7 ± 4.3, p = 0.009) than PE without severe features. No significant differences were found between the mean values of the OA Doppler indices when comparing the presence or absence of neonatal outcomes in the women with PE.

CONCLUSIONS

OA Doppler, while valuable for the prediction, diagnosis, and evaluation of adverse maternal outcomes, does not independently predict adverse neonatal outcomes in women with severe features of PE.

Relationship of maternal ophthalmic artery Doppler with uterine artery Doppler, hemodynamic indices and gestational age: prospective MATERA study

OBJECTIVES

To examine the relationship of ophthalmic artery (OA) Doppler indices with uterine artery (UtA) Doppler indices, selected maternal hemodynamic parameters and gestational age, and to evaluate the intraobserver reproducibility of OA Doppler indices.

METHODS

This was a prospective cohort study of women recruited between 11 + 0 and 23 + 6 weeks' gestation using a stratified and random sampling approach to ensure adequate distribution across the gestational-age range. OA pulsatility index (PI), first peak systolic velocity (PSV1), second peak systolic velocity (PSV2) and peak systolic velocity ratio (PSV ratio), calculated as PSV2/PSV1, were measured twice in each eye by the same observer. UtA-PI was also measured twice on each side by the same observer. Maternal hemodynamic assessment was undertaken using an ultrasonic cardiac output monitor (USCOM 1A). Pearson's and Spearman's rank correlation coefficients were used to assess the correlations between variables, and Bland-Altman plots were used to evaluate the intraobserver reproducibility of OA Doppler indices.

RESULTS

Of 194 women invited to participate in the study, 169 were eligible for inclusion, of whom 16 were excluded following an obstetric ultrasound scan and a further three owing to inadequate or incomplete OA or UtA Doppler assessment, leaving 150 women in the final analysis. Log UtA-PI had a weak correlation with both OA-PI (r = -0.19 (95% CI, -0.34 to -0.03), P = 0.021) and OA-PSV ratio (r = 0.31 (95% CI, 0.15-0.45), P < 0.001). The correlation between gestational age and OA-PI was non-significant (r = 0.14 (95% CI, -0.03 to 0.29), P = 0.097), and that between gestational age and OA-PSV ratio was weak (r = -0.23 (95% CI, -0.38 to -0.07), P = 0.004), as opposed to the strong correlation between gestational age and UtA-PI (r = -0.68 (95% CI, -0.76 to -0.58), P < 0.001). No strong correlations were observed between OA-PI or OA-PSV ratio and maternal hemodynamic indices. The correlations were unaltered by adjustment for maternal age and body mass index. The intraobserver reproducibility of OA-PI and OA-PSV ratio in the same eye was high. The correlation between the right and left eyes was moderate for OA-PI (r = 0.63 (95% CI, 0.53-0.72), P < 0.001) and strong for OA-PSV ratio (r = 0.81 (95% CI, 0.75-0.86), P < 0.001).

CONCLUSIONS

OA-PI and OA-PSV ratio had a weak or no correlation with UtA-PI and maternal hemodynamic parameters, meaning that they can be used as independent predictors for pre-eclampsia. Gestational age had no clinically relevant effect on OA-PI and OA-PSV ratio, suggesting that these indices could be measured without adjustment at any time between 11 and 23 weeks' gestation. OA Doppler indices had high intraobserver reproducibility and were strongly correlated between the right and left eyes. © 2025 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

A novel multiple marker microarray analyzer and methodology to predict major obstetric syndromes using surface markers of circulating extracellular vesicles from maternal plasma

INTRODUCTION

Placental-derived extracellular vesicles (EVs) are nano-organelles that facilitate intercellular communication between the feto-placental unit and the mother. We evaluated a novel Multiple Microarray analyzer for identifying surface markers on plasma EVs that predict preterm delivery and preeclampsia compared to term delivery controls.

MATERIAL AND METHODS

In this prospective exploratory cohort study pregnant women between 24 and 40 gestational weeks with preterm delivery (n = 16), preeclampsia (n = 19), and matched term delivery controls (n = 15) were recruited from Bnai Zion Medical Center, Haifa, Israel. Plasma samples were tested using a multiple microarray analyzer. Glass slides with 17 antibodies against EV surface receptors - were incubated with raw plasma samples, detected by biotinylated secondary antibodies specific to EVs or placental EVs (PEVs), and labeled with cyanine 5-streptavidin. PBS and whole human IgG served as controls. The fluorescent signal ratio to negative controls was log 2 transformed and analyzed for sensitivity and specificity using the area under the receiver operating characteristics curves (AUROC). Best pair ratios of general EVs/PEVs were used for univariate analysis, and top pairs were combined for multivariate analysis. Results were validated by comparison with EVs purified using standard procedures.

RESULTS

Heatmaps differentiated surface profiles of preeclampsia, preterm delivery, and term delivery receptors on total EVs and PEVs. Similar results were obtained with enriched EVs and EVs from raw plasma. Univariate analyses identified markers predicting preterm delivery and preeclampsia over term delivery controls with AUC >0.6 and sensitivity >50% at 80% specificity. Combining the best markers in a multivariate model, preeclampsia prediction over term delivery had an AUC of 0.89 (95% CI: 0.72-1.0) with 90% sensitivity and 90% specificity, marked by inflammation (TNF RII), relaxation (placenta protein 13 (PP13)), and immune-modulation (LFA1) receptors. Preterm delivery prediction over term delivery had an AUC of 0.97 (0.94-1.0), 84% sensitivity, and 90% specificity, marked by cell adhesion (ICAM), immune suppression, and general EV markers (CD81, CD82, and Alix). Preeclampsia prediction over preterm delivery had an AUC of 0.91 (0.79-0.99) with 80% sensitivity and 90% specificity with markers for complement activation (C1q) and autoimmunity markers.

CONCLUSIONS

The new, robust EV Multi-Array analyzer and methodology offer a simple, fast diagnostic tool that reveals novel surface markers for major obstetric syndromes.

Maternal vascular indices at 36 weeks' gestation in the prediction of preeclampsia

BACKGROUND

Epidemiological studies have shown that women with preeclampsia (PE) are at increased long term cardiovascular risk. This risk might be associated with accelerated vascular ageing process but data on vascular abnormalities in women with PE are scarce.

OBJECTIVE

This study aimed to identify the most discriminatory maternal vascular index in the prediction of PE at 35 to 37 weeks' gestation and to examine the performance of screening for PE by combinations of maternal risk factors and biophysical and biochemical markers at 35 to 37 weeks' gestation.

STUDY DESIGN

This was a prospective observational nonintervention study in women attending a routine hospital visit at 35 0/7 to 36 6/7 weeks' gestation. The visit included recording of maternal demographic characteristics and medical history, vascular indices, and hemodynamic parameters obtained by a noninvasive operator-independent device (pulse wave velocity, augmentation index, cardiac output, stroke volume, central systolic and diastolic blood pressures, total peripheral resistance, and fetal heart rate), mean arterial pressure, uterine artery pulsatility index, and serum concentration of placental growth factor and soluble fms-like tyrosine kinase-1. The performance of screening for delivery with PE at any time and at <3 weeks from assessment using a combination of maternal risk factors and various combinations of biomarkers was determined.

RESULTS

The study population consisted of 6746 women with singleton pregnancies, including 176 women (2.6%) who subsequently developed PE. There were 3 main findings. First, in women who developed PE, compared with those who did not, there were higher central systolic and diastolic blood pressures, pulse wave velocity, peripheral vascular resistance, and augmentation index. Second, the most discriminatory indices were systolic and diastolic blood pressures and pulse wave velocity, with poor prediction from the other indices. However, the performance of screening by a combination of maternal risk factors plus mean arterial pressure was at least as high as that of a combination of maternal risk factors plus central systolic and diastolic blood pressures; consequently, in screening for PE, pulse wave velocity, mean arterial pressure, uterine artery pulsatility index, placental growth factor, and soluble fms-like tyrosine kinase-1 were used. Third, in screening for both PE within 3 weeks and PE at any time from assessment, the detection rate at a false-positive rate of 10% of a biophysical test consisting of maternal risk factors plus mean arterial pressure, uterine artery pulsatility index, and pulse wave velocity (PE within 3 weeks: 85.2%; 95% confidence interval, 75.6%-92.1%; PE at any time: 69.9%; 95% confidence interval, 62.5%-76.6%) was not significantly different from a biochemical test using the competing risks model to combine maternal risk factors with placental growth factor and soluble fms-like tyrosine kinase-1 (PE within 3 weeks: 80.2%; 95% confidence interval, 69.9%-88.3%; PE at any time: 64.2%; 95% confidence interval, 56.6%-71.3%), and they were both superior to screening by low placental growth factor concentration (PE within 3 weeks: 53.1%; 95% confidence interval, 41.7%-64.3%; PE at any time: 44.3; 95% confidence interval, 36.8%-52.0%) or high soluble fms-like tyrosine kinase-1-to-placental growth factor concentration ratio (PE within 3 weeks: 65.4%; 95% confidence interval, 54.0%-75.7%; PE at any time: 53.4%; 95% confidence interval, 45.8%-60.9%).

CONCLUSION

First, increased maternal arterial stiffness preceded the clinical onset of PE. Second, maternal pulse wave velocity at 35 to 37 weeks' gestation in combination with mean arterial pressure and uterine artery pulsatility index provided effective prediction of subsequent development of preeclampsia.

Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study

BACKGROUND

Affecting 2-4% of pregnancies, pre-eclampsia is a leading cause of maternal death and morbidity worldwide. Using routinely available data, we aimed to develop and validate a novel machine learning-based and clinical setting-responsive time-of-disease model to rule out and rule in adverse maternal outcomes in women presenting with pre-eclampsia.

METHODS

We used health system, demographic, and clinical data from the day of first assessment with pre-eclampsia to predict a Delphi-derived composite outcome of maternal mortality or severe morbidity within 2 days. Machine learning methods, multiple imputation, and ten-fold cross-validation were used to fit models on a development dataset (75% of combined published data of 8843 patients from 11 low-income, middle-income, and high-income countries). Validation was undertaken on the unseen 25%, and an additional external validation was performed in 2901 inpatient women admitted with pre-eclampsia to two hospitals in south-east England. Predictive risk accuracy was determined by area-under-the-receiver-operator characteristic (AUROC), and risk categories were data-driven and defined by negative (-LR) and positive (+LR) likelihood ratios.

FINDINGS

Of 8843 participants, 590 (6·7%) developed the composite adverse maternal outcome within 2 days, 813 (9·2%) within 7 days, and 1083 (12·2%) at any time. An 18-variable random forest-based prediction model, PIERS-ML, was accurate (AUROC 0·80 [95% CI 0·76-0·84] vs the currently used logistic regression model, fullPIERS: AUROC 0·68 [0·63-0·74]) and categorised women into very low risk (-LR <0·1; eight [0·7%] of 1103 women), low risk (-LR 0·1 to 0·2; 321 [29·1%] women), moderate risk (-LR >0·2 and +LR <5·0; 676 [61·3%] women), high risk (+LR 5·0 to 10·0, 87 [7·9%] women), and very high risk (+LR >10·0; 11 [1·0%] women). Adverse maternal event rates were 0% for very low risk, 2% for low risk, 5% for moderate risk, 26% for high risk, and 91% for very high risk within 48 h. The 2901 women in the external validation dataset were accurately classified as being at very low risk (0% with outcomes), low risk (1%), moderate risk (4%), high risk (33%), or very high risk (67%).

INTERPRETATION

The PIERS-ML model improves identification of women with pre-eclampsia who are at lowest and greatest risk of severe adverse maternal outcomes within 2 days of assessment, and can support provision of accurate guidance to women, their families, and their maternity care providers.

FUNDING

University of Strathclyde Diversity in Data Linkage Centre for Doctoral Training, the Fetal Medicine Foundation, The Canadian Institutes of Health Research, and the Bill & Melinda Gates Foundation.

A Prediction Model of Preeclampsia in Hyperglycemia Pregnancy

Purpose

To investigate the risk factors associated with preeclampsia in hyperglycemic pregnancies and develop a predictive model based on routine pregnancy care.

Patients and Methods

The retrospective collection of clinical data was performed on 951 pregnant women with hyperglycemia, including those diagnosed with diabetes in pregnancy (DIP) and gestational diabetes mellitus (GDM), who delivered after 34 weeks of gestation at the Maternal and Child Health Hospital Affiliated to Anhui Medical University between January 2017 and December 2019. Observation indicators included liver and kidney function factors testing at 24-29+6 weeks gestation, maternal age, and basal blood pressure. The indicators were screened univariately, and the "rms" package in R language was applied to explore the factors associated with PE in HIP pregnancy by stepwise regression. Multivariable logistic regression analysis was used to develop the prediction model. Based on the above results, a nomogram was constructed to predict the risk of PE occurrence in pregnant women with HIP. Then, the model was evaluated from three aspects: discrimination, calibration, and clinical utility. The internal validation was performed using the bootstrap procedure.

Results

Multivariate logistic regression analysis showed that cystatin C, uric acid, glutamyl aminotransferase, blood urea nitrogen, and basal systolic blood pressure as predictors of PE in pregnancy with HIP. The predictive model yielded an area under curve (AUC) value of 0.8031 (95% CI: 0.7383-0.8679), with an optimal threshold of 0.0805, at which point the sensitivity was 0.8307 and specificity of 0.6604. Hosmer-Lemeshow test values were P = 0.3736, Brier score value was 0.0461. After 1000 Bootstrap re-samplings for internal validation, the AUC was 0.7886, the Brier score was 0.0478 and the predicted probability of the calibration curve was similar to the actual probability. A nomogram was constructed based on the above to visualize the model.

Conclusion

This study developed a model for predicting PE in pregnant women with HIP, achieving high predictive performance of PE risk through the information of routine pregnancy care.

Preeclampsia Management and Maternal Ophthalmic Artery Doppler Measurements between 19 and 23 Weeks of Gestation

Background: The ophthalmic Doppler is a reliable and impartial way to assess the severity of preeclampsia (PE). The study aimed to assess the potential utility of Doppler measurements of the maternal ophthalmic arteries during the weeks 19-23 of gestation, both independently and in combination with established biomarkers for PE. Methods: A prospective cohort study was conducted involving women who were recruited from a variety of standard appointments, including booking, scanning, and regular prenatal visits. A total of 200 women that were divided into high-risk and low-risk groups for developing PE were involved during the period between April 2023 and November 2023. Results: The ophthalmic ratio had significantly higher values in high-risk patients than in low-risk women (p = 0.000). There was a significant relationship between PSV2/PSV1 and gestational age at birth in women with PE compared to the ones who did not develop PE. Conclusions: An ophthalmic artery Doppler can play a crucial role in the early detection of PE, allowing for timely intervention and management. Incorporating the ophthalmic artery Doppler as a screening tool for PE in Bulgaria has the potential to improve early detection, risk stratification, and overall maternal and fetal health outcomes.

Pathophysiology of Pre-Eclampsia-Two Theories of the Development of the Disease

Pre-eclampsia (PE) continues to be a leading cause of maternal and fetal mortality and morbidity. While substantial progress has been made in understanding the pathomechanisms of PE, the pathophysiology of the disease is still not fully understood. While the "two-stage model" of the development of PE is the most widely accepted theory, stating that the placenta is the main source of the disease, there are some other pathophysiological models of PE. Among these other theories, the one considering heart dysfunction as serving as the primary cause of PE seems to be gaining increasing prominence. In this review, we aim to elucidate these two divergent concepts concerning the development of PE. Despite some differences in their proposed pathomechanisms, both theories share vital pathophysiological elements in common. A central and critical component in both models is impaired placental perfusion, which appears to be a crucial phenomenon in PE. A comprehensive understanding of the different pathomechanisms involved in PE may be helpful in clinical practice, prompting a more individual approach to care of patients with PE.

Expert review: preeclampsia Type I and Type II

Pregnancy involves an interplay between maternal and fetal factors affecting changes to maternal anatomy and physiology to support the developing fetus and ensure the well-being of both the mother and offspring. A century of research has provided evidence of the imperative role of the placenta in the development of preeclampsia. Recently, a growing body of evidence has supported the adaptations of the maternal cardiovascular system during normal pregnancy and its maladaptation in preeclampsia. Debate surrounds the roles of the placenta vs the maternal cardiovascular system in the pathophysiology of preeclampsia. We proposed an integrated model of the maternal cardiac-placental-fetal array and the development of preeclampsia, which reconciles the disease phenotypes and their proposed origins, whether placenta-dominant or maternal cardiovascular system-dominant. These phenotypes are sufficiently diverse to define 2 distinct types: preeclampsia Type I and Type II. Type I preeclampsia may present earlier, characterized by placental dysfunction or malperfusion, shallow trophoblast invasion, inadequate spiral artery conversion, profound syncytiotrophoblast stress, elevated soluble fms-like tyrosine kinase-1 levels, reduced placental growth factor levels, high peripheral vascular resistance, and low cardiac output. Type I is more often accompanied by fetal growth restriction, and low placental growth factor levels have a measurable impact on maternal cardiac remodeling and function. Type II preeclampsia typically occurs in the later stages of pregnancy and entails an evolving maternal cardiovascular intolerance to the demands of pregnancy, with a moderately dysfunctional placenta and inadequate blood supply. The soluble fms-like tyrosine kinase-1-placental growth factor ratio may be normal or slightly disturbed, peripheral vascular resistance is low, and cardiac output is high, but these adaptations still fail to meet demand. Emergent placental dysfunction, coupled with an increasing inability to meet demand, more often appears with fetal macrosomia, multiple pregnancies, or prolonged pregnancy. Support for the notion of 2 types of preeclampsia observable on the molecular level is provided by single-cell transcriptomic survey of gene expression patterns across different cell classes. This revealed widespread dysregulation of gene expression across all cell types, and significant imbalance in fms-like tyrosine kinase-1 (FLT1) and placental growth factor, particularly marked in the syncytium of early preeclampsia cases. Classification of preeclampsia into Type I and Type II can inform future research to develop targeted screening, prevention, and treatment approaches.

Performance of HDP-Gestosis Score and Ophthalmic Artery Doppler in Prediction of Pre-eclampsia

Purpose of Study

To study the predictive accuracy of maternal characteristics, mean arterial pressure, uterine artery doppler and maternal ophthalmic artery doppler in second trimester for subsequent development of pre-eclampsia.

Methods

A prospective cohort study of 440 women at 19-24 weeks' gestation. It included recording of maternal demographic characteristics and calculation of HDP Gestosis Score, measurement of MAP and ultrasound evaluation for fetal anatomy, Uterine artery doppler and maternal ophthalmic artery doppler. The mean Peak Systolic Velocity ratio was obtained by taking two sets of reading from both eyes. The statistical analysis was done using independent t-test for quantitative variables and chi-square test, Fisher's exact test for qualitative variables and Area Under Curve was obtained at 10% False Positive Rate.

Results

Among 440 pregnant women, 43(10.8%) developed Hypertensive Disorder of Pregnancy (8 early onset PE, 16 late onset PE and 19 GHTN) and 42 were lost to follow up, with an incidence rate of 10.8%. Combination of Gestosis Score + OAD PSV Ratio had highest AUC of 0.73. Whereas combination of Gestosis Score + MAP + UtAPI + OAD-PSV Ratio had highest sensitivity of 97.67%. The OAD PSV ratio improved detection rate of Gestosis Score (from 90 to 100%) for prediction of development of PE, especially Preterm PE at 10% FPR.

Conclusion

Maternal Ophthalmic artery doppler study significantly improved prediction of development of PE at 19-24 weeks' gestation, both independently as well as in combination with HDP-Gestosis Score, MAP and uterine artery doppler.

Role of First Trimester Screening Biochemical Markers to Predict Hypertensive Pregnancy Disorders and SGA Neonates-A Narrative Review

Early recognition of high-risk pregnancies through biochemical markers may promote antenatal surveillance, resulting in improved pregnancy outcomes. The goal of this study is to evaluate the possibilities of using biochemical markers during the first trimester of pregnancy in the prediction of hypertensive pregnancy disorders (HPD) and the delivery of small-for-gestational-age (SGA) neonates. A comprehensive search was conducted on key databases, including PubMed, Scopus, and Web of Science, for articles relating to the use of biochemical markers in the prediction of HPD and SGA. The findings show that changes in the levels of biomarkers in the early pregnancy phases could be an important indicator of adverse pregnancy outcomes. The literature shows that low PAPP-A (pregnancy-associated plasma protein A) and PlGF (placental growth factor) levels, low alkaline phosphatase (AP), higher sFlt-1 (soluble fms-like Tyrosine Kinase-1) levels, higher AFP (alfa fetoprotein) levels, and elevated levels of inflammatory markers such as β-HGC (free beta human chorionic gonadotropin), interferon-gamma (INF-γ), and tumor necrosis factor-α (TNF-α) may be associated with risks including the onset of HPD, fetal growth restriction (FGR), and delivery of SGA neonates. Comparatively, PAPP-A and PlGF appear to be the most important biochemical markers for the prediction of SGA and HPD.

Ophthalmic artery Doppler in the complementary diagnosis of preeclampsia: a systematic review and meta-analysis

OBJECTIVE

To evaluate the accuracy of different parameters of the ophthalmic artery Doppler (OAD) in the complementary diagnosis of preeclampsia (PE).

METHODS

This meta-analysis adhered to the PRISMA guidelines. To investigate the mean difference in OAD values, peak systolic velocity (PSV), end-diastolic velocity (EDV), second systolic velocity peak (P2), resistance index (RI), pulsatility index (PI), and peak ratio (PR), between PE cases (overall and according to severity) and controls, random-effects meta-analyses were conducted for each Doppler parameter, with overall PE and mild and severe PE subgroups. Diagnostic performance and heterogeneity were evaluated with summary receiver operating characteristic (sROC) curves and 95% confidence intervals obtained with bivariate models.

RESULTS

Eight studies stratified the results into mild and severe or late and early PE, involving 1,425 pregnant women. PR and P2 had better diagnostic performance than the other indexes, with the PR of AUsROC at 0.885, the sensitivity of 84%, and specificity of 92%, with a low false-positive rate of 0.08 and the P2 with AUsROC of 0.926, the sensitivity of 85% and specificity of 88%. RI, PI, and EDV showed good performance and consistency across studies but lower AUsROC values of 0.833, 0.794, and 0.772, respectively.

CONCLUSION

Ophthalmic artery Doppler is a complementary tool with good performance for the diagnosis of overall and severe preeclampsia, with high and best sensitivity and specificity when using PR and P2 parameters.

Vascular phenotype at 35-37 weeks' gestation in women with gestational diabetes mellitus

OBJECTIVES

To examine the vascular phenotype at 35-37 weeks' gestation of women with gestational diabetes mellitus (GDM) and compare it to that in women without GDM, using ophthalmic artery Doppler and carotid-femoral pulse-wave velocity.

METHODS

This was a prospective observational study of women attending for a routine hospital visit at 35 + 0 to 37 + 6 weeks' gestation. This visit included recording of maternal demographic characteristics and medical history, ophthalmic artery Doppler for calculation of the peak systolic velocity (PSV) ratio and assessment of cardiac output, stroke volume, total peripheral resistance, central systolic and diastolic blood pressure, carotid-femoral pulse-wave velocity and augmentation index. All measurements were standardized to remove the effects of maternal characteristics and elements from the medical history, and the adjusted values in the GDM group were compared with those in the non-GDM group.

RESULTS

The study population of 2018 pregnancies contained 218 (10.8%) that developed GDM, including 78 (35.8%) that were treated with diet alone, 81 (37.2%) treated with metformin and 59 (27.1%) treated with insulin with or without metformin. In the GDM group, compared with the non-GDM group, there were significantly higher ophthalmic artery PSV ratio, carotid-femoral pulse-wave velocity and central systolic blood pressure, but there was no significant difference in cardiac output, stroke volume, total peripheral resistance, central diastolic blood pressure or augmentation index. In the GDM group, women treated with metformin or insulin had a higher ophthalmic artery PSV ratio compared with those treated with diet alone. Additionally, compared with the diet group, the metformin group had higher central systolic blood pressure and the insulin group had a higher carotid-femoral pulse-wave velocity.

CONCLUSION

Women with GDM have evidence of early vascular disease, and this may contribute to their long-term cardiovascular risk. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Midgestation cardiovascular phenotype in women who develop gestational diabetes and hypertensive disorders of pregnancy: comparative study

OBJECTIVE

Women with gestational diabetes mellitus (GDM) and/or hypertensive disorders of pregnancy (HDP) are at increased long-term cardiovascular risk. Mild cardiac functional alterations have been detected in women with GDM or HDP in midgestation, prior to clinical onset of the disease, but these functional alterations have not been found to be useful as screening tools. In contrast, increased impedance to peripheral blood flow, measured by echocardiography or ophthalmic artery Doppler, has been shown to provide incremental value to maternal characteristics for the prediction of pre-eclampsia. However, it is unknown whether similar changes can be detected in women at risk of GDM. In this study, we performed detailed cardiovascular phenotyping in a large, unselected population of women in midgestation to identify similarities and differences in cardiovascular adaptation in women who are at risk of GDM and/or HDP.

METHODS

This was a prospective observational study in women attending for a routine hospital visit at 19 + 1 to 23 + 3 weeks' gestation. This visit included assessment of flow velocity waveforms from the maternal ophthalmic arteries, echocardiography for assessment of maternal cardiovascular function and measurement of uterine artery pulsatility index and serum placental growth factor (PlGF) for assessment of placental perfusion and function. The measured indices were converted to either multiples of the median (MoM) values or deviation from the median (delta) after adjusting for maternal characteristics and elements of medical history. Biomarker delta or MoM values in the GDM and HDP groups were compared with those in the unaffected group using 95% CI and t-tests.

RESULTS

The study population of 5214 pregnancies contained 4429 (84.9%) that were unaffected by GDM or HDP, 509 (9.8%) complicated by GDM without HDP, 41 (0.8%) with GDM and HDP, and 235 (4.5%) with HDP without GDM. In HDP cases, with or without GDM, there was evidence of impaired placentation, with a decrease in PlGF, and increased impedance to flow in the peripheral circulation, suggested by an increase in ophthalmic artery peak systolic velocity (PSV) ratio, peripheral vascular resistance assessed on echocardiography and mean arterial pressure. In the GDM group without HDP, there was no evidence of altered placental perfusion or function and ophthalmic artery PSV ratio was not significantly different from that in the unaffected group; peripheral vascular resistance and mean arterial pressure were increased but to a lesser degree than in the HDP group. In the HDP group, there was an increase in global longitudinal systolic strain and slight increase in isovolumic relaxation time, while in the GDM group, there was an increase in mitral valve E/e', myocardial performance index and global longitudinal systolic strain.

CONCLUSIONS

In midgestation, women who subsequently develop HDP or GDM have a mild subclinical reduction in left ventricular function. In HDP cases, with or without GDM, there is evidence of impaired placentation and all biomarkers of impedance to peripheral blood flow are consistently increased. In contrast, in the GDM group without HDP, biomarkers of placental function are normal and those of impedance to peripheral blood flow are either marginally increased or not significantly different from those in normal pregnancies. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.