Aspirin Use to Prevent Preeclampsia and Related Morbidity and Mortality: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

Mendelian randomization analysis of blood uric acid and risk of preeclampsia: based on GWAS and eQTL data

BACKGROUND

The causal association between blood uric acid and preeclampsia (Preeclampsia, PE) has not been conclusively established based on the literature reviewed to date. This bi-directional Mendelian randomization study aimed to investigate the bi-directional causal association between blood uric acid concentration and PE at different genetic levels.

METHODS

Pooled data on preeclampsia (sample size = 82,085) and blood uric acid (sample size = 129,405) were conducted based on publicly available genome-wide association analysis (Genome-Wide Association Study, GWAS) on the East Asian populations regarding preeclampsia and blood uric acid, respectively. We assessed blood uric acid and PE associations using two-sample Mendelian randomization (TSMR) analyses based on GWAS pooled statistics using inverse variance weighted (Inverse variance weighted), MR-Egger, and Weighted median (Weighted median) to examine the association between blood uric acid and pre-eclampsia. Causal relationship between blood uric acid and pre-eclampsia.Cochran's Q statistic was used to quantify the heterogeneity of instrumental variables among other methods. Subsequently, we extracted the expression quantitative trait loci (eQCTL, Expression quantitative trait loci) data corresponding to each gene as the instrumental variables using the genes corresponding to the intersecting instrumental variables of the exposure and the outcome in the respective analyses of the forward and backward TSMR respectively, so as to analyze the genetic causality of the genes with the different forward and backward TSMR methods further. Inverse variance weighted (IVW) was used to analyze the genetic causality of genes with different positive and negative outcomes.

RESULTS

Genetically determined blood uric acid level IVW method, ratio (OR) 1.30, 95% confidence interval (CI): [0.6, 2.83], p = 0.51 was not risk associated with PE. In addition according to the inverse MR analysis, we found an OR of 0.99, 95% CI [0.99, 1.0], p = 0.999) for PE on blood uric acid level IVW method and no significant heterogeneity in instrumental variables or level polytropy was found. (ii) Although GWAS data suggested no risk association between PE and uric acid, gene association analysis of eQTL data at blood uric acid levels with PE suggested a risk effect of the TP53INP1 gene for PE (IVW, OR = 11.476, 95% CI 2.511-52.452, p = 1.648 × 10-3) and a protective effect of CTSZ (IVW, OR = 0.011, 95% CI 0.001-0.189, p = 1.804 × 10-3), while a risk effect of ETV7 on hyperuricemia was suggested in a genetic association analysis of PE eQTL data with blood uric acid levels (OR = 1.018, 95% CI 1.007-1.029, p = 1.289 × 10-3).

CONCLUSION

Our MR (Mendelian Randomization) study based on the GWAS database did not support a bidirectional causal effect between blood uric acid levels and PE, whereas MR based on quantitative trait loci suggested that TP53INP1, which affects uric acid levels, has a risk association for PE, whereas CTSZ is protective against preeclampsia. Among the genes affecting PE the ETV7 gene may play a positive role in elevating uric acid levels.

2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Evaluating the application and clinical practice of adapted national preeclampsia and eclampsia guideline; a cross-sectional study from Iran

BACKGROUND

Hypertensive disorders during pregnancy (HDP) are a significant cause of maternal mortality. The present study examined the extent of preeclampsia and eclampsia guideline use across different healthcare provider groups, aiming to provide evidence-based recommendations for better guideline implementation.

METHODS

A cross-sectional study was conducted from 2021-10-04 to 2022-04-04. Participants were maternal health providers from 63 medical universities in the country. For evaluating clinical applicability of the guideline, an online questionnaire developed. Questionnaire was designed to evaluate the Implementation, Usability, Validity, Applicability, Accommodation, and Evaluation of national guideline. The mean score for each question was calculated and categorized in unfavorable, relatively favorable, and favorable values. The online questionnaire was delivered to the all-guideline users. The answered questionnaires were sent back to the research team after a week.

RESULTS

Totally, 1,283 health care providers as the respondents completed the questionnaires. The ways to access the guideline that were expressed by the participants were: printed book in 57.9%, medical websites in 11.2%, CDs in 10.5%, and posters, bulletins, and brochures in 20.4%. The results delineated that general practitioner had the highest scores related to the majority of domains consisting of Implementation, Usability, Evaluation, and Validity than Behvarz (community health workers in the rural and urban healthcare centers), midwife, and obstetrician groups (p < 0.01). The results showed that mother's non-compliance, non-practical content of guideline, and lack of facilities were the most important reported challenges in guideline implementation.

CONCLUSION

To effectively enhance the national preeclampsia guideline, it is critical to adopt a structured approach based on feedback from diverse healthcare providers. Key areas identified for improvement include ensuring comprehensive guideline awareness through better distribution, enhancing usability by simplifying language and offering quick-reference tools, regularly updating the guideline with new research, adapting it for varied clinical environments, accommodating the specific needs of different provider groups, and establishing a continuous evaluation mechanism through feedback loops. These steps aim to refine the guideline's practicality, reliability, and comprehensiveness in managing preeclampsia across diverse healthcare settings.

Preeclampsia risk prediction from prenatal cell-free DNA screening

Preeclampsia is characterized by placental dysfunction and results in significant morbidity, but reliable early prediction remains challenging. We investigated whether clinically obtained prenatal cell-free DNA (cfDNA) screening (PDNAS) using whole-genome sequencing (WGS) data can be leveraged to predict preeclampsia risk early in pregnancy (≤16 weeks). Using 1,854 routinely collected clinical PDNAS samples (median, 12.1 weeks) with low-coverage (0.5×) WGS data, we developed a framework to quantify maternal and fetal tissue signatures using nucleosome accessibility, revealing early placental and endothelial dysfunction. These signatures informed a prediction model for preeclampsia risk, which achieved a validation performance of 0.85 area under the receiver operating characteristic curve (AUC) (81% sensitivity at 80% specificity) for preterm phenotypes several months prior to disease onset in a separate cohort of 831 consecutively collected samples, and subsequently confirmed in an external cohort of 141 samples (AUC 0.84, 79% sensitivity). We demonstrate that assessment of cfDNA nucleosome accessibility from early-pregnancy cfDNA sequence data enables the detection of early placental and endothelial-tissue aberrations and may aid in the determination of preeclampsia risk.

Identification of syncytiotrophoblast-derived cf-RNA OPA1 to predict the occurrence of preeclampsia

BACKGROUND

Pre-eclampsia (PE) poses a significant threat to mothers and infants worldwide. Studies indicate that taking low-dose aspirin before the 16th week of pregnancy may prevent approximately 70 % of PE cases, highlighting the importance of predicting PE. Cell-free RNA (cf-RNA) exhibits significant changes in the maternal peripheral blood during early pregnancy, making cf-RNA analysis a promising and less invasive method for predicting PE.

METHODS

The two datasets, GSE192902 and GSE149440, were analyzed to identify differentially expressed cf-RNAs, followed by the calculation of their AUC values Subsequently, these cf-RNAs were validated using placental tissues, as well as late- and early-stage plasma samples collected from both healthy individuals and patients with PE. Furthermore, we performed tissue localization and functional analyses on the ultimate candidate gene.

RESULTS

Mitochondrial Dynamin-Like GTPase (OPA1) emerged as the molecule with the most consistent and statistically significant alterations in placental tissues and serum samples from patients with PE across various gestational weeks. Notably, the combination of OPA1 levels and mean arterial pressure (MAP) yielded an AUC of 0.825 (95 % CI: 0.759-0.879) for predicting PE. Additionally, we verified that OPA1 is predominantly expressed in placental syncytiotrophoblast (STB) cells, and its downregulation negatively impacts STB mitochondrial function, angiogenic potential, and cell proliferation.

CONCLUSIONS

OPA1 holds the potential to emerge as a novel cf-RNA for predicting PE.

Pregnancy Outcomes from a Multidisciplinary Obstetric-Medicine/Rheumatology Clinic in the United States: A Five-Year Retrospective Analysis

OBJECTIVE

At Women & Infants Hospital in Providence, Rhode Island, the Specialty Care in Pregnancy clinic combines obstetric-medicine internists with rheumatologists to care for pregnant patients with rheumatologic conditions. These clinics are scarce, with only three known similar clinics in the United States. This study aims to characterize the population cared for in this clinic, identify interventions, and analyze pregnancy outcomes for the birthing parents and newborns.

METHODS

A five-year retrospective chart review was performed from January 1st, 2016, through December 31st, 2021.

RESULTS

Of 81 patients, 62% had a clinically diagnosed rheumatic disorder. Of 87 patient visits, which included preconception, prenatal, and postpartum encounters, 54% of patients were taking conventional synthetic disease modifying antirheumatic drugs, and 17% were taking biologic disease modifying antirheumatic drugs. New medications were started in 52% of patients. A total of 52% of pregnancies resulted in live births, with 2% resulting in miscarriages. Prematurity occurred in 19% of newborns, and 9% had intrauterine growth restriction.

CONCLUSION

Our study illustrates the benefits of multidisciplinary care in patients with rheumatologic disorders during their prenatal and perinatal periods. The expertise from both the obstetric-medicine internists and rheumatologists was critical in making complex decisions that weighed the benefits of therapy against potential risks for the fetus. Our multidisciplinary approach resulted in doubling of the number of patients initiating disease modifying therapy and increased prophylaxis with hydroxychloroquine and/or aspirin therapy, as recommended by current guidelines. Additional multidisciplinary clinics of this type would help coordinate care among physicians who frequently treat these high-risk, unique patients and open the door for more research of this understudied population.

The effectiveness of low-dose aspirin for the prevention of hypertensive disorders of pregnancy in a sub-Saharan Africa Country: A randomized clinical trial

OBJECTIVE

To evaluate whether a daily dose of low-dose aspirin (LDA) can prevent hypertensive disorders of pregnancy (HDP), including preeclampsia, among pregnant women in a South African cohort, and to assess its impact on related maternal and fetal outcomes, such as preterm birth and neonatal complications.

STUDY DESIGN

This single-center, open-label, parallel-group randomized controlled trial (RCT) was conducted at a regional hospital in Durban, KwaZulu-Natal, South Africa, from May 2021 to March 2024. A total of 423 pregnant women, aged 18 years or older with singleton pregnancies between 12 and 20 weeks of gestation, were randomized to receive either 162 mg of LDA daily or standard care. The primary outcome was the incidence of HDP, while secondary outcomes included early-onset preeclampsia (EOPE), preterm birth, low birth weight (LBW), and neonatal death. Data analysis used relative risk (RR) and 95 % confidence intervals (CIs).

RESULTS

Of the 423 women, 209 were in the LDA group and 214 in the control group. The incidence of HDP was significantly lower in the LDA group (6.2 % vs. 25.2 %; RR = 0.25, 95 % CI [0.14-0.44], p < 0.001), corresponding to a 75 % reduction in HDP risk, with an absolute risk reduction (ARR) of 19 % and a number needed to treat (NNT) of 5.3. EOPE was reduced (2.4 % vs. 14.0 %; RR = 0.17, 95 % CI [0.07-0.41], p < 0.001), as was preterm birth (6.7 % vs. 26.2 %; RR = 0.26, 95 % CI [0.15-0.45], p < 0.001). There were no significant differences for LBW or neonatal death. Sensitivity analysis confirmed the importance of initiating LDA before 16 weeks, showing continued reductions in HDP incidence with early initiation.

CONCLUSION

LDA significantly reduces the risk of HDP, EOPE, and preterm birth, particularly when initiated before 16 weeks of gestation. These findings support the use of LDA for preventing hypertensive disorders of pregnancy in low-resource settings and underscore the value of early intervention for improved maternal and fetal outcomes.

Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data

BACKGROUND

Globally, pre-eclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality. PE prediction using routinely collected data has the advantage of being widely applicable, particularly in low-resource settings. Early intervention for high-risk women might reduce PE incidence and related complications. We aimed to replicate our machine learning (ML) published work predicting another maternal condition (gestational diabetes) to (1) predict PE using routine health data, (2) identify the optimal ML model, and (3) compare it with logistic regression approach.

METHODS

Data were from a large health service network with 48,250 singleton pregnancies between January 2016 and June 2021. Supervised ML models were employed. Maternal clinical and medical characteristics were the feature variables (predictors), and a 70/30 data split was used for training and testing the model. Predictive performance was assessed using area under the curve (AUC) and calibration plots. Shapley value analysis assessed the contribution of feature variables.

RESULTS

The random forest approach provided excellent discrimination with an AUC of 0.84 (95% CI: 0.82-0.86) and highest prediction accuracy (0.79); however, the calibration curve (slope of 1.21, 95% CI 1.13-1.30) was acceptable only for a threshold of 0.3 or less. The next best approach was extreme gradient boosting, which provided an AUC of 0.77 (95% CI: 0.76-0.79) and well-calibrated (slope of 0.93, 95% CI 0.85-1.01). Logistic regression provided good discrimination performance with an AUC of 0.75 (95% CI: 0.74-0.76) and perfect calibration. Nulliparous, pre-pregnancy body mass index, previous pregnancy with prior PE, maternal age, family history of hypertension, and pre-existing hypertension and diabetes were the top-ranked features in Shapley value analysis.

CONCLUSION

Two ML models created the highest-performing prediction using routinely collected data to identify women at high risk of PE, with acceptable discrimination. However, to confirm this result and also examine model generalisability, external validation studies are needed in other settings, utilising standardised prognostic factors.

Cost-effectiveness of a randomized controlled trial comparing low-dose aspirin to placebo for the prevention of recurrent preterm birth

To assess the cost-effectiveness of low-dose aspirin compared to placebo for the prevention of recurrent preterm birth from a healthcare perspective. This was a cost-effectiveness analysis alongside a multicenter, randomized, double-blinded, placebo-controlled trial. We included women with a singleton pregnancy and a previous spontaneous preterm birth <37 weeks of gestation of a singleton. Women were randomized between aspirin 80 mg daily and placebo, initiated between 8 and 16 weeks of gestation. We estimated the difference in preterm births (<37 weeks of gestation), and maternal and neonatal healthcare costs using seemingly unrelated linear regression analyses. Bootstrapping was performed to estimate statistical uncertainty. A total of 387 women were included: 194 in the aspirin group and 193 in the placebo group. We observed a small, statistically non-significant difference in preterm birth (21.2% vs. 25.4%; risk difference -4.3%; 95% CI: -12.7% to 4.1%) and healthcare costs (mean -€99; 95% CI: -€2385 to €2325) in the aspirin group compared to placebo. The cost-effectiveness acceptability curve showed that the probability of aspirin being cost-effective was 54% for a willingness to pay threshold of €0 for one prevented preterm birth and 78% for €50 000 for one prevented preterm birth. Our findings suggest that aspirin is the dominant strategy over placebo for the prevention of preterm birth. However, there was substantial uncertainty around the results and definite conclusions regarding the cost-effectiveness of aspirin cannot be drawn.

Aspirin dosage for preeclampsia prophylaxis: an argument for 81-mg dosing

Research conducted over the past few decades has shown that low-dose aspirin can effectively reduce the risk of developing preeclampsia. Consequently, numerous prominent organizations have adopted the recommendation to use low-dose aspirin during pregnancy to prevent preeclampsia. However, the optimal dosage of low-dose aspirin (81mg versus 162mg) remains a subject of debate. Currently, there is insufficient high-quality data to justify the use of a higher dosage of low-dose aspirin. In this review, we review the existing evidence that supports the continued use of 81mg of aspirin over a higher dose and emphasize the need for high-quality research to alter current recommendations.

Synopsis of the 2023 U.S. Department of VA and U.S. DoD Clinical Practice Guideline for the Management of Pregnancy

INTRODUCTION

This Clinical Practical Guideline provides recommendations based on a systematic review of the evidence to address critical decision points in the management of pregnancy. The guideline is intended to improve patient outcomes and local management of patients who are pregnant. This CPG is based on a systematic review of both clinical and epidemiological evidence and was developed by a panel of multidisciplinary experts. The Work Group provides clear and comprehensive evidence-based recommendations incorporating current information and practices targeting practitioners throughout the DoD and VA Health Care systems. The guideline is intended to improve patient outcomes and local management of patients who are pregnant. This CPG does not address every aspect of routine pregnancy care and is not intended to be a comprehensive guide to all care needed in pregnancy. It also addresses some clinically important and generally accepted standards of pregnancy care interventions that do not have sufficient high-quality evidence to support standalone recommendations. Additionally, it highlights emerging topics that have the potential to impact pregnancy care in the future and identifies gaps in the literature that warrant further research.

MATERIALS AND METHODS

The development of all VA/DoD guidelines is directed by the Evidence-Based Practice Guideline Work Group and adheres to the standards for trustworthy guidelines that were set by the National Academy of Medicine. A patient focus group was convened to assess important aspects of treatment for patients and to gain information about patient values and preferences. The Lewin Group, a contracted third party with expertise in CPG development, facilitated meetings and the development of key questions using the population, intervention, comparison, outcome, timing, and setting format. Consensus was achieved among the Work Group through an iterative process involving discussions on conference calls and in person during the recommendation development meeting. An independent third party, ECRI, conducted the systematic evidence review, which the guideline Work Group then used to develop recommendations using the Grading of Recommendations Assessment, Development and Evaluation system (7-9). The search methods and results are detailed in the full guideline.

RESULTS

This CPG provides 28 clinical practice recommendations that cover selected topics that the Work Group deemed had high priority need for evidence-based standards. The recommendations are divided into 3 main categories: routine care, complicated obstetrics, and mental health. An algorithm delineating recommended interventions and appropriate timing of these interventions over the course of the pregnancy and postpartum period was also created.

CONCLUSION

The CPG is not intended to define standards of care nor address all care needed in pregnancy; it does provide comprehensive guidance for routine pregnancy care. It aligns with the VA and DOD's goal of providing care that is consistent in quality and utilization of resources in efforts to reduce errors and inappropriate variations in practices. In total, the Work Group identified 71 items needing further study, including areas requiring stronger evidence to support current recommendations and newer topics that will guide future guideline development.

Successful Management of a Renin-Secreting Tumor in Pregnancy: A Case Report

Hypertension that develops during early pregnancy has several causes. However, there have been no reported cases of full-term delivery, particularly when it is caused by renin-secreting renal tumors. We present the case of a 28-year-old pregnant patient who delivered with a renin-secreting renal tumor and provide a literature search of similar cases. A patient with no history of hypertension was referred to our hospital for severe hypertension during early pregnancy and was admitted for antihypertensive and aspirin therapy. The renin level of the patient was abnormally high, and a renal tumor was detected in the right kidney. Robot-assisted partial nephrectomy was performed at 16 weeks of gestation, after which antihypertensive medication was discontinued because hypertension was not observed. The pregnancy progressed favorably, leading to an uncomplicated delivery of a healthy baby at 40 weeks of gestation. The successful treatment of our patient can be attributed to three key factors: early hospitalization for strict blood pressure control, aspirin administration, and prompt diagnosis and treatment. Medication and thorough investigation of secondary hypertension are crucial in pregnant women with hypertension.

Evaluation of outcomes and risk factors for recurrent preeclampsia in a subsequent pregnancy

PURPOSE

The aim was to evaluate the pregnancy outcomes and identify risk factors for recurrent preeclampsia (PE).

METHODS

Retrospective analysis of patients discharged with PE between January 1, 2010, and January 1, 2023, from two tertiary referral hospitals. They were classified into recurrent and non-recurrent groups based on the presence of PE in subsequent pregnancies.

RESULTS

Among 519 women who had a subsequent pregnancy after a history of PE, 153 developed recurrent PE while 366 did not. The recurrent cases included 81 preterm PE, of which 41 were early-onset PE (EOPE). Recurrent PE correlated significantly with prior EOPE, HELLP syndrome, placental abruption, and stillbirth, as well as with current chronic hypertension (CH) and type 2 diabetes. The recurrent group showed a 5.8-fold higher risk of preterm birth (PTB) compared to the non-recurrent group (50.7% vs. 8.7%). Notably, 58.1% of the PTBs in the non-recurrent group were spontaneous. Logistic regression identified previous EOPE (aOR: 4.22 [95% CI: 2.50-7.13]) and current CH (aOR: 1.86 [95% CI: 1.09-3.18]) as independent contributors for recurrent PE. Furthermore, recurrent preterm PE shared the same risk factors: previous EOPE (aOR: 5.27 [95% CI: 2.82-9.85]) and current CH (aOR: 2.99 [95% CI: 1.57-5.71]). The morbidity of CH in subsequent pregnancy peaked at 31.9% when women with a history of EOPE delivered within three years.

CONCLUSION

Previous EOPE and current CH were sequentially crucial risk factors for the development of PE and preterm PE during the next pregnancy. This may clarify risk stratification in prenatal management for women with a history of PE.

First-trimester uterine artery pulsatility index and preeclampsia risk in pregnancies after artificial frozen embryo transfer: analysis of over 27,000 pregnancies

BACKGROUND

Accumulating evidence indicates that pregnancies after artificial cycle frozen embryo transfer are associated with an increased risk of preeclampsia. Uterine artery Doppler, along with maternal factors and serum biomarkers, is a crucial biomarker for first-trimester preeclampsia screening, aiding in identifying "high-risk" patients. Guidelines strongly recommend administering aspirin (150 mg/d) in these women, owing to robust evidence demonstrating a 62% reduction in the incidence of preeclampsia. Although previous studies suggested lower uterine artery pulsatility index after frozen embryo transfer, no previous studies explored the impact of the type of endometrial preparation in Uterine Artery Doppler or its influence on estimating first-trimester preeclampsia risk.

OBJECTIVE

The study aims to evaluate the possible impact of endometrial preparation for frozen embryo transfer on the uterine artery pulsatility index during the first-trimester preeclampsia screening.

STUDY DESIGN

This is a retrospective single-center study including 27,289 singleton pregnancies (naturally conceived or after assisted reproductive treatment) who underwent the first-trimester ultrasound screening at our University Hospital between January 2010 and May 2023. Overall, 27,289 pregnancies were included: 23,410 naturally conceived and 3879 following assisted reproductive technologies including 391 after ovulation induction and intrauterine insemination, 888 in vitro fertilization and fresh embryo transfer, and 2600 natural or artificial frozen embryo transfer cycles. An analysis of covariance was conducted to assess if there is an association between the uterine artery pulsatility index value and the mode of conception, adjusting for confounding factors (age, weight, smoking, and oocyte donation).

RESULTS

Overall, pregnancies after artificial frozen embryo transfer demonstrated significantly lower first-trimester uterine artery pulsatility index as compared with all other modes of conception in a multivariable regression analysis adjusted for age, weight, smoking, and oocyte donation. The percent difference was 22.6 [confidence interval, CI 95%: 20.6; 24.5] compared to naturally conceived pregnancy, 24.5 [CI 95%: 20.7; 28.1] to ovulation induction or intrauterine insemination, 24.8 [CI 95%: 22.9; 27.6] to fresh embryo transfer and 21.7 [CI 95%: 17.6; 25.5] compared to natural cycle frozen embryo transfer. When calculating the risk for initiating preventive aspirin administration, the number of patients with increased risk (>1/100) who initiated prophylactic aspirin was significantly lower in the artificial cycle frozen embryo transfer group (7.8% vs 16.0% in natural cycle P<.001 vs 11.0% in Fresh embryo transfer P=.01 vs 10.5% in ovulation induction or intrauterine insemination P=.14 vs 9.3% in naturally conceived pregnancy P=.03). Surprisingly although significantly fewer patients were considered at high risk for preeclampsia in the artificial cycle frozen embryo transfer group, analysis of the actual incidence of preeclampsia demonstrated 3 times higher preeclampsia incidence in artificial cycle group 5.3% (122/2284) as compared with naturally conceived 1.4% (321/23,410), ovulation induction and intrauterine insemination 1.3% (5/391) or natural cycle pregnancies 1.6% (5/316) and more than 2 times higher when compared to fresh embryo transfer pregnancies 2.3% (20/888), P<.001.

CONCLUSION

Pregnancies following frozen embryo transfer in artificial cycle are associated with significantly lower uterine artery pulsatility index during first-trimester preeclampsia screening. This results in a significantly lower number of patients being classified as high-risk for developing preeclampsia, despite accumulating evidence that artificial cycles are linked to an increased risk of preeclampsia. Therefore, the first-trimester preeclampsia risk algorithm should be adjusted to accurately assess risk for those patients undergoing artificial cycle frozen embryo transfer, to prevent the undertreatment of patients who are at very high risk of developing preeclampsia and may benefit from prophylactic aspirin.

Comparison of 75 mg versus 150 mg aspirin for the prevention of preterm preeclampsia in high-risk women at a tertiary level hospital: study protocol for a randomized double-blind clinical trial

BACKGROUND

Hypertensive disorders of pregnancy (HDP) pose significant risks to maternal and fetal health, with substantial mortality and morbidity rates globally, particularly in developing countries. Pre-eclampsia (PE) accounts for a notable portion of maternal morbidity and mortality, with varied prevalence across regions within countries like India. Despite advancements, disparities in healthcare access persist, influencing outcomes. PE not only affects maternal health during pregnancy but also predisposes women to long-term cardiovascular complications, emphasizing the need for early screening and preventive measures.

METHODS

This prospective randomized double-blind clinical trial aims to compare the efficacy and safety of 75 mg versus 150 mg aspirin for preventing preterm pre-eclampsia in high-risk women. Screen-positive women aged 18-45 years with singleton pregnancies between 12 and 16 weeks of gestational age will be enrolled. They will be randomized in a 1:1 ratio to receive either 75 mg or 150 mg of aspirin nightly until 37 weeks of pregnancy or earlier if preterm pre-eclampsia develops. Feto-maternal outcomes, including preterm pre-eclampsia incidence and neonatal and maternal complications, will be assessed. The sample size calculation based on expected proportions of preterm pre-eclampsia in both groups indicates a total of 370 participants (185 per group) accounting for 20% attrition.

DISCUSSION

This prospective randomized double-blind clinical trial aims to compare the effectiveness and safety of two doses of aspirin (75 mg vs 150 mg) in preventing preterm pre-eclampsia in high-risk women. The potential implications of this study are significant, including the optimization of aspirin prophylaxis, the development of evidence-based guidelines, and comprehensive assessment of maternal and fetal outcomes. In conclusion, the results of this study have the potential to significantly impact clinical practice by enhancing maternal and perinatal health outcomes and contributing to evidence-based obstetric care.

TRIAL REGISTRATION

Clinical Trials Registry-India CTRI/2023/12/060983. Trial was registered prospectively on 29 December 2023. Acknowledgement Number REF/2023/12/076358. https://acrobat.adobe.com/id/urn:aaid:sc:AP:15870322-f1f4-4460-900c-6e056ab83a44 .

Implementation of First-Trimester Screening and Prevention of Preeclampsia: A Stepped Wedge Cluster-Randomized Trial in Asia

BACKGROUND

This trial aimed to assess the efficacy, acceptability, and safety of a first-trimester screen-and-prevent strategy for preterm preeclampsia in Asia.

METHODS

Between August 1, 2019, and February 28, 2022, this multicenter stepped wedge cluster randomized trial included maternity/diagnostic units from 10 regions in Asia. The trial started with a period where all recruiting centers provided routine antenatal care without study-related intervention. At regular 6-week intervals, one cluster was randomized to transit from nonintervention phase to intervention phase. In the intervention phase, women underwent first-trimester screening for preterm preeclampsia using a Bayes theorem-based triple-test. High-risk women, with adjusted risk for preterm preeclampsia ≥1 in 100, received low-dose aspirin from <16 weeks until 36 weeks.

RESULTS

Overall, 88.04% (42 897 of 48 725) of women agreed to undergo first-trimester screening for preterm preeclampsia. Among those identified as high-risk in the intervention phase, 82.39% (2919 of 3543) received aspirin prophylaxis. There was no significant difference in the incidence of preterm preeclampsia between the intervention and non-intervention phases (adjusted odds ratio [aOR], 1.59 [95% CI, 0.91-2.77]). However, among high-risk women in the intervention phase, aspirin prophylaxis was significantly associated with a 41% reduction in the incidence of preterm preeclampsia (aOR, 0.59 [95% CI, 0.37-0.92]). In addition, it correlated with 54%, 55%, and 64% reduction in the incidence of preeclampsia with delivery at <34 weeks (aOR, 0.46 [95% CI, 0.23-0.93]), spontaneous preterm birth <34 weeks (aOR, 0.45 [95% CI, 0.22-0.92]), and perinatal death (aOR, 0.34 [95% CI, 0.12-0.91]), respectively. There was no significant between-group difference in the incidence of aspirin-related severe adverse events.

CONCLUSIONS

The implementation of the screen-and-prevent strategy for preterm preeclampsia is not associated with a significant reduction in the incidence of preterm preeclampsia. However, low-dose aspirin effectively reduces the incidence of preterm preeclampsia by 41% among high-risk women. The screen-and-prevent strategy for preterm preeclampsia is highly accepted by a diverse group of women from various ethnic backgrounds beyond the original population where the strategy was developed. These findings underpin the importance of the widespread implementation of the screen-and-prevent strategy for preterm preeclampsia on a global scale.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT03941886.

Prediction of Fetal Death in Preterm Preeclampsia Using Fetal Sex, Placental Growth Factor and Gestational Age

BACKGROUND/OBJECTIVES

Preeclampsia (PE) is a systemic disease that affects 4.6% of pregnancies. Despite the existence of a first-trimester screening for the prediction of preterm PE, no consensus exists regarding neither the right moment to end the pregnancy nor the appropriate variables to estimate the prognosis. The objective of this study was to obtain a prediction model for perinatal death in patients with preterm PE, useful for clinical practice.

METHODS

Singleton pregnant women with PE and preterm delivery were included in an observational retrospective study. Multiple maternal and fetal variables were collected, and several multivariable logistic regression analyses were applied to construct models to predict perinatal death, selecting the most accurate and reproducible according to the highest area under the curve (AUC) and the lowest Akaike Information Criteria (AIC).

RESULTS

A group of 148 pregnant women were included, and 18 perinatal deaths were registered. Univariable logistic regression selected as statistically significant variables the following: gestational age (GA) at admission, fetal sex, poor response to antihypertensive drugs, PlGF, umbilical artery (UA) pulsatility index (PI), cerebroplacental ratio (CPR), and absent/reversed ductus venosus (DV). The multivariable model, including all these parameters, presented an AUC of 0.95 and an AIC of 76.5. However, a model including only GA and fetal sex presented a similar accuracy with the highest simplicity (AUC 0.93, AIC 67.6). Finally, in fetuses with a similar GA, fetal death became dependent on PlGF and fetal sex, underlying the role of fetal sex in all circumstances.

CONCLUSIONS

Female fetal sex and low PlGF are notorious predictors of perinatal death in preterm PE, only surpassed by early GA at birth.

Comparison of National Factor-Based Models for Preeclampsia Screening

OBJECTIVE

 This study aimed to compare the predictive values of the American College of Obstetricians and Gynecologists (ACOG), the National Institute for Health and Care Excellence (NICE), and the Society of Obstetricians and Gynecologists of Canada (SOGC) factor-based models for preeclampsia (PE) screening.

STUDY DESIGN

 We conducted a secondary analysis of maternal and birth data from 32 hospitals. For each delivery, we calculated the risk of PE according to the ACOG, the NICE, and the SOGC models. Our primary outcomes were PE and preterm PE (PE combined with preterm birth) using the ACOG criteria. We calculated the detection rate (DR or sensitivity), the false positive rate (FPR or 1 - specificity), the positive (PPV) and negative (NPV) predictive values of each model for PE and for preterm PE using receiver operator characteristic (ROC) curves.

RESULTS

 We used 130,939 deliveries including 4,635 (3.5%) cases of PE and 823 (0.6%) cases of preterm PE. The ACOG model had a DR of 43.6% for PE and 50.3% for preterm PE with FPR of 15.6%; the NICE model had a DR of 36.2% for PE and 41.3% for preterm PE with FPR of 12.8%; and the SOGC model had a DR of 49.1% for PE and 51.6% for preterm PE with FPR of 22.2%. The PPV for PE of the ACOG (9.3%) and NICE (9.4%) models were both superior than the SOGC model (7.6%; p < 0.001), with a similar trend for the PPV for preterm PE (1.9 vs. 1.9 vs. 1.4%, respectively; p < 0.01). The area under the ROC curves suggested that the ACOG model is superior to the NICE for the prediction of PE and preterm PE and superior to the SOGC models for the prediction of preterm PE (all with p < 0.001).

CONCLUSION

 The current ACOG factor-based model for the prediction of PE and preterm PE, without considering race, is superior to the NICE and SOGC models.

KEY POINTS

· Clinical factor-based model can predict PE in approximately 44% of the cases for a 16% false positive.. · The ACOG model is superior to the NICE and SOGC models to predict PE.. · Clinical factor-based models are better to predict PE in parous than in nulliparous..

Diagnosis and Treatment of Hyperglycemia in Pregnancy: Type 2 Diabetes Mellitus and Gestational Diabetes

Hyperglycemia in pregnancy due to pre-existing Type 2 diabetes mellitus (T2DM) and gestational diabetes mellitus (GDM) is rising globally with increasing rates of risk factors for metabolic disease. This review summarizes current evidence and recommendations from national and international guidelines for diagnosis and management of T2DM and GDM to optimize maternal and neonatal outcomes.

Aspirin resistance in pregnancy is associated with reduced interleukin-2 (IL-2) concentrations in maternal serum: Implications for aspirin prophylaxis for preeclampsia

OBJECTIVES

To evaluate the impact of aspirin resistance on the incidence of preeclampsia and maternal serum biomarker levels in pregnant individuals at high-risk of preeclampsia receiving low dose aspirin (LDA).

STUDY DESIGN

We performed a secondary analysis of a randomized, placebo-controlled trial of LDA (60 mg daily) for preeclampsia prevention in high-risk individuals (N = 524) on pregnancy outcomes and concentrations of PLGF, IL-2, IL-6, thromboxane B2 (TXB2), sTNF-R1 and sTNF-R2 from maternal serum.

MAIN OUTCOME MEASURES

LDA-resistant individuals were defined as those having a TXB2 concentration >10 ng/ml or <75 % reduction in concentration at 24-28 weeks after LDA administration. Comparisons of outcomes were performed using a Fisher's Exact Test. Mean concentrations of maternal serum biomarkers were compared using a Student's t-test. Pearson correlation was calculated for all pairwise biomarkers. Longitudinal analysis across gestation was performed using linear mixed-effects models accounting for repeated measures and including BMI and maternal age as covariates.

RESULTS

We classified 60/271 (22.1 %) individuals as LDA-resistant, 179/271 (66.1 %) as LDA-sensitive, and 32/271 (11.8 %) as non-adherent. The prevalence of preeclampsia was not significantly different between the LDA and placebo groups (OR = 1.43 (0.99-2.28), p-value = 0.12) nor between LDA-sensitive and LDA-resistant individuals (OR = 1.27 (0.61-2.8), p-value = 0.60). Mean maternal serum IL-2 concentrations were significantly lower in LDA-resistant individuals relative to LDA-sensitive individuals (FDR < 0.05).

CONCLUSIONS

These results suggest a potential role for IL-2 in the development of preeclampsia modulated by an individuals' response to aspirin, presenting an opportunity to optimize aspirin prophylaxis on an individual level to reduce the incidence of preeclampsia.

Impact of Antiphospholipid Syndrome on Reproductive Outcomes: Current Insights and Management Approaches

Antiphospholipid syndrome (APS) is a disease characterized by the presence of antiphospholipid (aPL) antibodies, thrombosis, and obstetric complications. While patients with APS can have successful pregnancies, many important considerations exist. APS can also cooccur with other systemic autoimmune diseases which can affect pregnancy, particularly systemic lupus erythematosus. This article reviews specific considerations for pregnancy and reproductive health in patients with APS. Similar to other autoimmune diseases, stable or quiescent disease and planning with a rheumatologist and obstetrician prior to conception are vital components of a successful pregnancy. Pregnancy management for patients with aPL antibodies or diagnosis of APS with aspirin and/or anticoagulation depending on disease profile is discussed, as well as the effects of physiologic changes during pregnancy in maternal and fetal outcomes for this population. Given the reproductive span lasts beyond conception through delivery, we include discussions on safe contraception options, the use of assistive reproductive technology, pregnancy termination, menopause, and male fertility. While APS is a relatively rare condition, the effects this disease can have on maternal and fetal outcomes even with available therapies demonstrates the need for more high-quality, evidence-based research.

Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction

Preeclampsia is a life-threatening complication that develops in 2-8% of pregnancies. It is characterized by elevated blood pressure after 20 weeks of gestation and may progress to multiorgan dysfunction, leading to severe maternal and fetal morbidity and mortality. The only definitive treatment is delivery, and efforts are focused on early risk prediction, surveillance, and severity mitigation. Anesthesiologists, as part of the interdisciplinary team, should evaluate patients early in labor in order to optimize cardiovascular, pulmonary, and coagulation status. Neuraxial techniques are safe in the absence of coagulopathy and aid avoidance of general anesthesia, which is associated with high risk in these patients. This review aims to provide anaesthesiologists with a comprehensive update on the latest strategies and evidence-based practices for managing preeclampsia, with an emphasis on perioperative care.

Short and long-term complications of hypertensive disorders of pregnancy: lifelong cardiovascular risks we cannot ignore

PURPOSE OF REVIEW

Hypertensive disorders of pregnancy (HDP) pose a significant threat to maternal cardiovascular health, with emerging research shedding light on the enduring risks beyond the gestational period. This review highlights updates regarding cardiovascular risks associated with HDP and their implications for long-term health.

RECENT FINDINGS

Patients with a history of HDP are at an elevated risk of developing chronic hypertension, ischemic heart disease, stroke, valvular heart disease, and heart failure.Not surprisingly, patients with HDP experience higher rates of maternal and fetal adverse events in the antepartum and immediate postpartum periods, with high readmission rates for cardiovascular complications. The high risk of chronic hypertension after a HDP then leads to the development of subclinical disease over 5-10 years with overt cardiovascular disease becoming most prevalent in the decades following pregnancy. Early hypertension management in the antepartum and postpartum periods has lifelong health benefits and highlights the need for seamless postpartum transitions with close blood pressure monitoring and cardiovascular risk mitigation.

SUMMARY

HDP significantly increases the risk of short and long-term adverse cardiovascular events. Integrated healthcare models that assess and address postpartum cardiovascular risk are necessary to improve the cardiovascular health and longevity of those effected by HDP.

The Ongoing Relationship Between Offspring Congenital Heart Disease and Preeclampsia Across Pregnancies

Background

Prior literature has described an association between preeclampsia and offspring congenital heart disease (CHD), while suggesting there may be a stronger relationship in individuals with early preeclampsia.

Objectives

The authors sought to explore the relationship between offspring CHD and preeclampsia among pregnancies in a population-based study.

Methods

Retrospective cohort study all singleton pregnancies delivered in the state of California 2000 to 2012. We included singleton births with gestational ages of 23 to 42 weeks and excluded pregnancies complicated by pre-existing diabetes or identified fetal chromosomal anomalies. We used multivariable logistic regression to estimate ORs for associations between offspring CHD and preeclampsia. Further subanalyses examined the relationships in deliveries <34 weeks and >34 weeks to analyze if there was a difference according to timing of preeclampsia development.

Results

Preeclampsia was strongly associated with offspring CHD (aOR: 1.38; 99% CI: 1.29-1.49) in the same pregnancy. Among patients with preeclampsia in the index pregnancy, there was an increased risk of fetal CHD in the subsequent pregnancy (aOR: 1.39; 99% CI: 1.20-1.61). Among patients with offspring CHD in the index pregnancy, there was an increased risk of preeclampsia in the subsequent pregnancy (aOR: 1.39; 99% CI: 1.15-1.68). In all 3 analyses, results remained significant when stratified by <34 weeks and ≥34 weeks.

Conclusions

Our findings suggest a need for further investigation into the etiology of preeclampsia and its relationship to embryologic development of cardiovascular structures.

Prediction model of preeclampsia using machine learning based methods: a population based cohort study in China

Introduction

Preeclampsia is a disease with an unknown pathogenesis and is one of the leading causes of maternal and perinatal morbidity. At present, early identification of high-risk groups for preeclampsia and timely intervention with aspirin is an effective preventive method against preeclampsia. This study aims to develop a robust and effective preeclampsia prediction model with good performance by machine learning algorithms based on maternal characteristics, biophysical and biochemical markers at 11-13 + 6 weeks' gestation, providing an effective tool for early screening and prediction of preeclampsia.

Methods

This study included 5116 singleton pregnant women who underwent PE screening and fetal aneuploidy from a prospective cohort longitudinal study in China. Maternal characteristics (such as maternal age, height, pre-pregnancy weight), past medical history, mean arterial pressure, uterine artery pulsatility index, pregnancy-associated plasma protein A, and placental growth factor were collected as the covariates for the preeclampsia prediction model. Five classification algorithms including Logistic Regression, Extra Trees Classifier, Voting Classifier, Gaussian Process Classifier and Stacking Classifier were applied for the prediction model development. Five-fold cross-validation with an 8:2 train-test split was applied for model validation.

Results

We ultimately included 49 cases of preterm preeclampsia and 161 cases of term preeclampsia from the 4644 pregnant women data in the final analysis. Compared with other prediction algorithms, the AUC and detection rate at 10% FPR of the Voting Classifier algorithm showed better performance in the prediction of preterm preeclampsia (AUC=0.884, DR at 10%FPR=0.625) under all covariates included. However, its performance was similar to that of other model algorithms in all PE and term PE prediction. In the prediction of all preeclampsia, the contribution of PLGF was higher than PAPP-A (11.9% VS 8.7%), while the situation was opposite in the prediction of preterm preeclampsia (7.2% VS 16.5%). The performance for preeclampsia or preterm preeclampsia using machine learning algorithms was similar to that achieved by the fetal medicine foundation competing risk model under the same predictive factors (AUCs of 0.797 and 0.856 for PE and preterm PE, respectively).

Conclusions

Our models provide an accessible tool for large-scale population screening and prediction of preeclampsia, which helps reduce the disease burden and improve maternal and fetal outcomes.

Clinical practice guidelines for the care of girls and women with Turner syndrome

Turner syndrome (TS) affects 50 per 100 000 females. TS affects multiple organs through all stages of life, necessitating multidisciplinary care. This guideline extends previous ones and includes important new advances, within diagnostics and genetics, estrogen treatment, fertility, co-morbidities, and neurocognition and neuropsychology. Exploratory meetings were held in 2021 in Europe and United States culminating with a consensus meeting in Aarhus, Denmark in June 2023. Prior to this, eight groups addressed important areas in TS care: (1) diagnosis and genetics, (2) growth, (3) puberty and estrogen treatment, (4) cardiovascular health, (5) transition, (6) fertility assessment, monitoring, and counselling, (7) health surveillance for comorbidities throughout the lifespan, and (8) neurocognition and its implications for mental health and well-being. Each group produced proposals for the present guidelines, which were meticulously discussed by the entire group. Four pertinent questions were submitted for formal GRADE (Grading of Recommendations, Assessment, Development and Evaluation) evaluation with systematic review of the literature. The guidelines project was initiated by the European Society for Endocrinology and the Pediatric Endocrine Society, in collaboration with members from the European Society for Pediatric Endocrinology, the European Society of Human Reproduction and Embryology, the European Reference Network on Rare Endocrine Conditions, the Society for Endocrinology, and the European Society of Cardiology, Japanese Society for Pediatric Endocrinology, Australia and New Zealand Society for Pediatric Endocrinology and Diabetes, Latin American Society for Pediatric Endocrinology, Arab Society for Pediatric Endocrinology and Diabetes, and the Asia Pacific Pediatric Endocrine Society. Advocacy groups appointed representatives for pre-meeting discussions and the consensus meeting.

Metabolomic prediction of severe maternal and newborn complications in preeclampsia

INTRODUCTION

Preeclampsia (PreE) remains a major source of maternal and newborn complications. Prenatal prediction of these complications could significantly improve pregnancy management.

OBJECTIVES

Using metabolomic analysis we investigated the prenatal prediction of maternal and newborn complications in early and late PreE and investigated the pathogenesis of such complications.

METHODS

Serum samples from 76 cases of PreE (36 early-onset and 40 late-onset), and 40 unaffected controls were collected. Direct Injection Liquid Chromatography-Mass Spectrometry combined with Nuclear Magnetic Resonance (NMR) spectroscopy was performed. Logistic regression analysis was used to generate models for prediction of adverse maternal and neonatal outcomes in patients with PreE. Metabolite set enrichment analysis (MSEA) was used to identify the most dysregulated metabolites and pathways in PreE.

RESULTS

Forty-three metabolites were significantly altered (p < 0.05) in PreE cases with maternal complications and 162 metabolites were altered in PreE cases with newborn adverse outcomes. The top metabolite prediction model achieved an area under the receiver operating characteristic curve (AUC) = 0.806 (0.660-0.952) for predicting adverse maternal outcomes in early-onset PreE, while the AUC for late-onset PreE was 0.843 (0.712-0.974). For the prediction of adverse newborn outcomes, regression models achieved an AUC = 0.828 (0.674-0.982) in early-onset PreE and 0.911 (0.828-0.994) in late-onset PreE. Profound alterations of lipid metabolism were associated with adverse outcomes.

CONCLUSION

Prenatal metabolomic markers achieved robust prediction, superior to conventional markers for the prediction of adverse maternal and newborn outcomes in patients with PreE. We report for the first-time the prediction and metabolomic basis of adverse maternal and newborn outcomes in patients with PreE.

Barriers and facilitators of adherence to low-dose aspirin during pregnancy: A co-produced systematic review and COM-B framework synthesis of qualitative evidence

INTRODUCTION

Women at increased risk of developing pre-eclampsia are advised to take a daily low-dose of aspirin from 12 weeks of pregnancy to reduce their risks. Despite the well-established prophylactic effect of aspirin, adherence to this therapy is low. This systematic review aimed to summarise evidence on the barriers and facilitators of adherence to low-dose aspirin to inform intervention development to support decision making and persistence with aspirin use for pre-eclampsia prevention.

MATERIALS AND METHODS

A systematic review and meta-synthesis of qualitative research was co-produced by representatives from charities, and public, clinical and academic members. Eight electronic databases (MEDLINE, PsycINFO, CINAHL, Web of Science, Scopus, EMBASE, Prospero, OpenGrey), archives of charities and professional organisations were searched (between October and November 2023 and re-run in August 2023) using predefined search terms. Studies containing qualitative components related to barriers and facilitators of adherence to low-dose aspirin during pregnancy were included. Quality assessment was performed using the Critical Appraisal Skills Programme checklist for qualitative research. A combination of the COM-B framework with phases of adherence process as defined by international taxonomy was used as the coding framework. Co-production activities were facilitated by use of 'Zoom' and 'Linoit'.

RESULTS

From a total of 3377 papers identified through our searches, five published studies and one dissertation met our inclusion criteria. Studies were published from 2019 to 2022 covering research conducted in the USA, Canada, UK, Netherlands and Australia. Barriers and facilitators to adherence were mapped to six categories of the COM-B for three phases of adherence: initiation, implementation, and discontinuation. The discontinuation phase of adherence was only mentioned by one author. Four key themes were identified relating to pregnancy: 'Insufficient knowledge', 'Necessity concerns balance', 'Access to medicine', 'Social influences', and 'Lack of Habit'.

CONCLUSIONS

The COM-B framework allowed for detailed mapping of key factors shaping different phases of adherence in behavioural change terms and now provides a solid foundation for the development of a behavioural intervention. Although potential intervention elements could be suggested based on the results of this synthesis, additional co-production work is needed to define elements and plan for the delivery of the future intervention.

TRIAL REGISTRATION

PROSPERO CRD42022359718. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022359718.

Feasibility of Universal Screening for Preeclampsia Risk and Aspirin Recommendation in the Ultrasound Unit

OBJECTIVE

 To evaluate the feasibility and impact of using the first-trimester ultrasound visit to identify and counsel women at increased risk of preeclampsia about the benefits of low-dose aspirin (LDA) for preventing preeclampsia. We also assessed patient-reported utilization of LDA, perceived risk for preeclampsia, and clinical outcomes.

STUDY DESIGN

 Women presenting for routine first-trimester nuchal-translucency (NT) ultrasounds were screened for clinical preeclampsia risks using a self-administered risk assessment. Women at moderate or high risk for preeclampsia were counseled to take LDA, if not already taking it. LDA utilization and perceived risk for preeclampsia were assessed during the second-trimester ultrasound. Factors associated with LDA utilization were analyzed. Pregnancy outcomes were compared between those who used LDA and those who did not.

RESULTS

 Slightly more than 20% of patients (765/3,669) screened at increased risk for developing preeclampsia. Of those, 67.8% (519/765) had not received LDA recommendations from their referring obstetrician and 97 had not been taking LDA despite being advised to do so. Combined, 94.6% (583/616) of these patients eligible to start LDA prophylaxis received the indicated counseling during the ultrasound visit. A total of 61.4% (358/583) of women completed the follow-up form and of those 77.9% (279/358) reported taking LDA. Screening at increased risk for preeclampsia and perception of increased risk were positively associated with LDA utilization, whereas concerns for LDA safety were negatively associated with use. African American/Black patients and Medicaid recipients were less likely to use LDA. Pregnancy outcomes were similar between those who used LDA and those who did not.

CONCLUSION

 Assessing preeclampsia risk and counseling patients about LDA at the time of the NT ultrasound are feasible in the ultrasound unit and led to good LDA utilization among women at increased risk for preeclampsia. This intervention may standardize patient care and help close the disparity in maternal health.

KEY POINTS

· A simple intervention captured 2/3 of eligible patients.. · Aspirin utilization rate was good after the intervention.. · Screening high risk for preeclampsia and self-perception of risk correlated with aspirin use..

Externally validated prediction models for pre-eclampsia: systematic review and meta-analysis

OBJECTIVE

This systematic review and meta-analysis aimed to evaluate the performance of existing externally validated prediction models for pre-eclampsia (PE) (specifically, any-onset, early-onset, late-onset and preterm PE).

METHODS

A systematic search was conducted in five databases (MEDLINE, EMBASE, Emcare, CINAHL and Maternity & Infant Care Database) and using Google Scholar/reference search to identify studies based on the Population, Index prediction model, Comparator, Outcome, Timing and Setting (PICOTS) approach until 20 May 2023. We extracted data using the CHARMS checklist and appraised the risk of bias using the PROBAST tool. A meta-analysis of discrimination and calibration performance was conducted when appropriate.

RESULTS

Twenty-three studies reported 52 externally validated prediction models for PE (one preterm, 20 any-onset, 17 early-onset and 14 late-onset PE models). No model had the same set of predictors. Fifteen any-onset PE models were validated externally once, two were validated twice and three were validated three times, while the Fetal Medicine Foundation (FMF) competing-risks model for preterm PE prediction was validated widely in 16 different settings. The most common predictors were maternal characteristics (prepregnancy body mass index, prior PE, family history of PE, chronic medical conditions and ethnicity) and biomarkers (uterine artery pulsatility index and pregnancy-associated plasma protein-A). The FMF model for preterm PE (triple test plus maternal factors) had the best performance, with a pooled area under the receiver-operating-characteristics curve (AUC) of 0.90 (95% prediction interval (PI), 0.76-0.96), and was well calibrated. The other models generally had poor-to-good discrimination performance (median AUC, 0.66 (range, 0.53-0.77)) and were overfitted on external validation. Apart from the FMF model, only two models that were validated multiple times for any-onset PE prediction, which were based on maternal characteristics only, produced reasonable pooled AUCs of 0.71 (95% PI, 0.66-0.76) and 0.73 (95% PI, 0.55-0.86).

CONCLUSIONS

Existing externally validated prediction models for any-, early- and late-onset PE have limited discrimination and calibration performance, and include inconsistent input variables. The triple-test FMF model had outstanding discrimination performance in predicting preterm PE in numerous settings, but the inclusion of specialized biomarkers may limit feasibility and implementation outside of high-resource settings. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Physician's Knowledge and Practices Surrounding Low-Dose Aspirin for Preeclampsia Risk Reduction

OBJECTIVE

Preeclampsia is a leading cause of pregnancy-related deaths. Up to 60% of maternal deaths associated with preeclampsia may be prevented. Clinical trials have shown that low-dose aspirin reduces preeclampsia up to 30% among women at increased risk. Since 2014, multiple professional societies and the U.S. Preventive Services Task Force have released guidelines on the use of low-dose aspirin to reduce the risk of preeclampsia. We aimed to evaluate physician's knowledge and practices surrounding low-dose aspirin for preeclampsia risk reduction.

STUDY DESIGN

We distributed an anonymous electronic survey to licensed physicians in the Rio Grande Valley of Texas who provide prenatal care, including general obstetrician-gynecologists, maternal fetal medicine subspecialists, and family medicine physicians. The survey consisted of 20 items assessing demographics, provider practices, and knowledge on the use of low-dose aspirin for preeclampsia risk reduction.

RESULTS

We received 48 surveys with a response rate of 55%. More than 90% of physicians reported recommending low-dose aspirin for preeclampsia risk reduction, of which 98% correctly identified the dose. Of the physicians recommending aspirin, 83% initiate dosing between 12 and 16 weeks, but only 52% continue it until the day of delivery. Nearly 80% of respondents identified that one high-risk factor for preeclampsia is an indication for prophylaxis, but only 56% identified that two or more moderate risk factors should prompt aspirin recommendation.

CONCLUSION

Despite clear professional guidelines, physicians demonstrated gaps in knowledge and differences in practices. Enhancing screening tools to assess patient's risk of developing preeclampsia and tailored medical education on moderate risk factors are needed to identify patients who may benefit from this intervention. Increasing the use of aspirin in patients at risk is critical given the benefits of low-dose aspirin in the reduction of poor maternal and neonatal outcomes related to preeclampsia.

KEY POINTS

· Low-dose aspirin reduces preeclampsia in patients up to 30%.. · Physicians have gaps in knowledge despite guidelines.. · Following guidelines reduces poor outcomes associated with preeclampsia..

Factors Associated with Guideline Concordant Clinician Counseling about Low-Dose Aspirin to Prevent Preeclampsia in Nulliparous Patients

OBJECTIVE

The primary aim of this study was to examine the United States Preventative Services Task Force (USPSTF) guidelines concordant low-dose aspirin (LDA) counseling and factors associated with counseling in nulliparous birthing individuals.

STUDY DESIGN

We conducted a retrospective cohort study of nulliparous birthing individuals who delivered between January 1, 2019 and June 30, 2020 and received prenatal care at the Duke High Risk Obstetrical Clinics (HROB). All nulliparous patients over 18 years old who established or transferred care to HROB by 16 weeks, 6 days were included in the analysis. We excluded patients with more than two previous first-trimester pregnancy losses, multiple gestation, a known contraindication to LDA, initiation of LDA prior to their prenatal care, or documented medical history of coagulation disorder. Bivariate associations between demographic/medical characteristics and our primary outcome, receipt of counseling (yes/no), were assessed using two-sample t-tests for continuous variables and chi-square or Fisher's exact test for categorical variables. Factors significantly associated with the primary outcome (p < 0.05) were entered into the multivariable logistic regression model.

RESULTS

Among 391 birthing individuals included in the final analysis cohort, 51.7% of eligible patients received guideline consistent LDA counseling. Factors associated with increased odds of LDA counseling were advanced maternal age (adjusted odds ratio [aOR]: 1.05, 95% confidence interval [CI]: 1.01-1.09), Black race compared with White race (aOR:1.75, 95% CI: 1.03-2.98), chronic hypertension (aOR: 4.17, 95% CI: 1.82-9.55), and obesity (aOR: 5.02, 95% CI: 3.12-8.08).

CONCLUSION

Approximately half of all nulliparous birthing individuals had appropriately documented LDA counseling. The USPSTF guidelines on LDA for preeclampsia risk reduction are complex, which may lead to ineffective provider adherence. Efforts to simplify guidelines and improve LDA counseling are vital to ensuring this low-cost, evidence-based preeclampsia prevention is used in a consistent and equitable manner.

KEY POINTS

· A total of 51.7% of eligible patients received guideline consistent LDA counseling.. · Advanced maternal age , body mass index > 30, Black race, and chronic hypertension associated with increased odds of counseling.. · Among patients most likely to be counseled, high numbers did not receive LDA counseling..

Non-invasive prediction of preeclampsia using the maternal plasma cell-free DNA profile and clinical risk factors

Background

Preeclampsia (PE) is a pregnancy complication defined by new onset hypertension and proteinuria or other maternal organ damage after 20 weeks of gestation. Although non-invasive prenatal testing (NIPT) has been widely used to detect fetal chromosomal abnormalities during pregnancy, its performance in combination with maternal risk factors to screen for PE has not been extensively validated. Our aim was to develop and validate classifiers that predict early- or late-onset PE using the maternal plasma cell-free DNA (cfDNA) profile and clinical risk factors.

Methods

We retrospectively collected and analyzed NIPT data of 2,727 pregnant women aged 24-45 years from four hospitals in China, which had previously been used to screen for fetal aneuploidy at 12 + 0 ~ 22 + 6 weeks of gestation. According to the diagnostic criteria for PE and the time of diagnosis (34 weeks of gestation), a total of 143 early-, 580 late-onset PE samples and 2,004 healthy controls were included. The wilcoxon rank sum test was used to identify the cfDNA profile for PE prediction. The Fisher's exact test and Mann-Whitney U-test were used to compare categorical and continuous variables of clinical risk factors between PE samples and healthy controls, respectively. Machine learning methods were performed to develop and validate PE classifiers based on the cfDNA profile and clinical risk factors.

Results

By using NIPT data to analyze cfDNA coverages in promoter regions, we found the cfDNA profile, which was differential cfDNA coverages in gene promoter regions between PE and healthy controls, could be used to predict early- and late-onset PE. Maternal age, body mass index, parity, past medical histories and method of conception were significantly differential between PE and healthy pregnant women. With a false positive rate of 10%, the classifiers based on the combination of the cfDNA profile and clinical risk factors predicted early- and late-onset PE in four datasets with an average accuracy of 89 and 80% and an average sensitivity of 63 and 48%, respectively.

Conclusion

Incorporating cfDNA profiles in classifiers might reduce performance variations in PE models based only on clinical risk factors, potentially expanding the application of NIPT in PE screening in the future.

Acetaminophen Use During Pregnancy and Children's Risk of Autism, ADHD, and Intellectual Disability

Importance

Several studies suggest that acetaminophen (paracetamol) use during pregnancy may increase risk of neurodevelopmental disorders in children. If true, this would have substantial implications for management of pain and fever during pregnancy.

Objective

To examine the associations of acetaminophen use during pregnancy with children's risk of autism, attention-deficit/hyperactivity disorder (ADHD), and intellectual disability.

Design, Setting, and Participants

This nationwide cohort study with sibling control analysis included a population-based sample of 2 480 797 children born in 1995 to 2019 in Sweden, with follow-up through December 31, 2021.

Exposure

Use of acetaminophen during pregnancy prospectively recorded from antenatal and prescription records.

Main Outcomes and Measures

Autism, ADHD, and intellectual disability based on International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes in health registers.

Results

In total, 185 909 children (7.49%) were exposed to acetaminophen during pregnancy. Crude absolute risks at 10 years of age for those not exposed vs those exposed to acetaminophen were 1.33% vs 1.53% for autism, 2.46% vs 2.87% for ADHD, and 0.70% vs 0.82% for intellectual disability. In models without sibling control, ever-use vs no use of acetaminophen during pregnancy was associated with marginally increased risk of autism (hazard ratio [HR], 1.05 [95% CI, 1.02-1.08]; risk difference [RD] at 10 years of age, 0.09% [95% CI, -0.01% to 0.20%]), ADHD (HR, 1.07 [95% CI, 1.05-1.10]; RD, 0.21% [95% CI, 0.08%-0.34%]), and intellectual disability (HR, 1.05 [95% CI, 1.00-1.10]; RD, 0.04% [95% CI, -0.04% to 0.12%]). To address unobserved confounding, matched full sibling pairs were also analyzed. Sibling control analyses found no evidence that acetaminophen use during pregnancy was associated with autism (HR, 0.98 [95% CI, 0.93-1.04]; RD, 0.02% [95% CI, -0.14% to 0.18%]), ADHD (HR, 0.98 [95% CI, 0.94-1.02]; RD, -0.02% [95% CI, -0.21% to 0.15%]), or intellectual disability (HR, 1.01 [95% CI, 0.92-1.10]; RD, 0% [95% CI, -0.10% to 0.13%]). Similarly, there was no evidence of a dose-response pattern in sibling control analyses. For example, for autism, compared with no use of acetaminophen, persons with low (<25th percentile), medium (25th-75th percentile), and high (>75th percentile) mean daily acetaminophen use had HRs of 0.85, 0.96, and 0.88, respectively.

Conclusions and Relevance

Acetaminophen use during pregnancy was not associated with children's risk of autism, ADHD, or intellectual disability in sibling control analysis. This suggests that associations observed in other models may have been attributable to familial confounding.

Association between human blood metabolome and the risk of pre-eclampsia

Pre-eclampsia is a complex multi-system pregnancy disorder with limited treatment options. Therefore, we aimed to screen for metabolites that have causal associations with preeclampsia and to predict target-mediated side effects based on Mendelian randomization (MR) analysis. A two-sample MR analysis was firstly conducted to systematically assess causal associations of blood metabolites with pre-eclampsia, by using metabolites related large-scale genome-wide association studies (GWASs) involving 147,827 European participants, as well as GWASs summary data about pre-eclampsia from the FinnGen consortium R8 release data that included 182,035 Finnish adult female subjects (5922 cases and 176,113 controls). Subsequently, a phenome-wide MR (Phe-MR) analysis was applied to assess the potential on-target side effects associated with hypothetical interventions that reduced the burden of pre-eclampsia by targeting identified metabolites. Four metabolites were identified as potential causal mediators for pre-eclampsia by using the inverse-variance weighted method, including cholesterol in large HDL (L-HDL-C) [odds ratio (OR): 0.88; 95% confidence interval (95% CI): 0.83-0.93; P = 2.14 × 10-5), cholesteryl esters in large HDL (L-HDL-CE) (OR: 0.88; 95% CI: 0.83-0.94; P = 5.93 × 10-5), free cholesterol in very large HDL (XL-HDL-FC) (OR: 0.88; 95% CI: 0.82-0.94; P = 1.10 × 10-4) and free cholesterol in large HDL (L-HDL-FC) (OR: 0.89; 95% CI: 0.84-0.95; P = 1.45 × 10-4). Phe-MR analysis showed that targeting L-HDL-CE had beneficial effects on the risk of 24 diseases from seven disease chapters. Based on this systematic MR analysis, L-HDL-C, L-HDL-CE, XL-HDL-FC, and L-HDL-FC were inversely associated with the risk of pre-eclampsia. Interestingly, L-HDL-CE may be a promising drug target for preventing pre-eclampsia with no predicted detrimental side effects. The study consists of a two-stage design that conducts MR at both stages. First, we assessed the causality for the associations between 194 blood metabolites and the risk of pre-eclampsia. Second, we investigated a broad spectrum of side effects associated with the targeting identified metabolites in 693 non-preeclampsia diseases. Our results suggested that Cholesteryl esters in large HDL may serve as a promising drug target for the prevention or treatment of pre-eclampsia with no predicted detrimental side effects.

The Impact of Coronary Artery Disease on Outcomes in Patients Hospitalized With Pre-eclampsia

Introduction Pre-eclampsia leads to long-lasting cardiovascular effects in women in the postpartum period, but prevalence and in-hospital adverse events of coronary artery disease (CAD) in women with pre-eclampsia are poorly understood. The prevalence, outcomes, and mortality risks identified in this study allow for possible routes of clinical intervention of CAD in women with pre-eclampsia. The purpose of this study was to determine the prevalence and outcomes of CAD in women diagnosed with pre-eclampsia compared to those with pre-eclampsia with no history of CAD. Predictors of mortality in pre-eclampsia were also analyzed. Methods Data were obtained from the National Inpatient Sample from January 2016 to December 2019. We used the multivariate logistic regression to assess the independent association of CAD with outcomes in patients admitted with pre-eclampsia. We also used the multivariate logistic regression to analyze predictors of mortality in patients hospitalized with pre-eclampsia. Results Women with pre-eclampsia admitted between January 2016 and December 2019 were included in our analysis. A total of 256,010 patients were diagnosed with pre-eclampsia. Of these patients, 174 (0.1%) patients had CAD. Multivariate analysis demonstrated that CAD in patients with pre-eclampsia was independently associated with angioplasty (adjusted odds ratio [aOR] 62.28; 95% CI 20.459-189.591; p=0.001), permanent pacemaker (aOR 35.129; 95% CI 13.821-89.287; p=0.001), left heart catheterization (aOR 29.416; 95% CI 7.236-119.557; p=0.001), non-ST-elevation myocardial infarction (NSTEMI) (aOR 25.832; 95% CI 7.653-87.189; p=0.001), and congestive heart failure (CHF) (aOR 13.948; 95% CI 7.648-25.438; p=0.001). We also used the multivariate logistic regression model to assess predictors of mortality in patients admitted with pre-eclampsia. These included age at admission (aOR 1.064; 95% CI 1.009-1.121; p=0.021), Asian/Pacific-Islander race (aOR 4.893; 95% CI 1.884-12.711; p=0.001), and comorbidities such as CHF (aOR 19.405; 95% CI 6.408-58.768; p=0.001), eclampsia (aOR 17.253; 95% CI 5.323-55.924; p=0.001), syndrome of HELLP (hemolysis, elevated liver enzymes, low platelets) (aOR 6.204; 95% CI 2.849-13.510; p=0.001), coagulopathy (aOR 6.524; 95% CI 1.997-21.308; p=0.002), and liver disease (aOR 5.217; 95% CI 1.156-23.554; p=0.032). Conclusion In a large cohort of patients admitted with pre-eclampsia, we found the prevalence of CAD to be 0.1%. CAD was associated with several clinical outcomes, including NSTEMI. Predictors of mortality in patients with pre-eclampsia included demographic variables such as age and Asian race, as well as comorbidities such as CHF and coagulopathy.

Caring for Patients with Gestational Hypertensive Disorders: Essential Takeaways

Hypertensive disorders in pregnancy (HDP) are a group of conditions-including chronic hypertension, gestational hypertension, preeclampsia with and without end-organ damage, and acute complications, which include HELLP (hemolysis, elevated liver enzymes, and low platelets) syndrome and eclampsia-that could lead to severely adverse outcomes for both mother and fetus. The incidence of HDP has increased, affecting one out of seven delivery hospitalizations. Physicians should be aware of HDP for early identification and proper treatment to improve patient outcomes.

AI-based preeclampsia detection and prediction with electrocardiogram data

Introduction

More than 76,000 women die yearly from preeclampsia and hypertensive disorders of pregnancy. Early diagnosis and management of preeclampsia can improve outcomes for both mother and baby. In this study, we developed artificial intelligence models to detect and predict preeclampsia from electrocardiograms (ECGs) in point-of-care settings.

Methods

Ten-second 12-lead ECG data was obtained from two large health care settings: University of Tennessee Health Science Center (UTHSC) and Atrium Health Wake Forest Baptist (AHWFB). UTHSC data was split into 80% training and 20% holdout data. The model used a modified ResNet convolutional neural network, taking one-dimensional raw ECG signals comprising 12 channels as an input, to predict risk of preeclampsia. Sub-analyses were performed to assess the predictive accuracy for preeclampsia prediction within 30, 60, or 90 days before diagnosis.

Results

The UTHSC cohort included 904 ECGs from 759 females (78.8% African American) with a mean ± sd age of 27.3 ± 5.0 years. The AHWFB cohort included 817 ECGs from 141 females (45.4 African American) with a mean ± sd age of 27.4 ± 5.9 years. The cross-validated ECG-AI model yielded an AUC (95% CI) of 0.85 (0.77-0.93) on UTHSC holdout data, and an AUC (95% CI) of 0.81 (0.77-0.84) on AHWFB data. The sub-analysis of different time windows before preeclampsia prediction resulted in AUCs (95% CI) of 0.92 (0.84-1.00), 0.89 (0.81-0.98) and 0.90 (0.81-0.98) when tested on ECGs 30 days, 60 days and 90 days, respectively, before diagnosis. When assessed on early onset preeclampsia (preeclampsia diagnosed at <34 weeks of pregnancy), the model's AUC (95% CI) was 0.98 (0.89-1.00).

Discussion

We conclude that preeclampsia can be identified with high accuracy via application of AI models to ECG data.

Chinese guideline for the diagnosis and treatment of Takayasu's arteritis (2023)

Takayasu's arteritis (TAK) is a chronic granulomatous inflammatory disease that involves aorta and its primary branches. It is characterized by wall thickening, stenosis/obliteration or aneurysm formation of the involved arteries. In order to standardize the diagnosis and treatment of TAK in China, a clinical practice guideline with an evidence-based approach is developed under the leadership of National Clinical Medical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID). Eleven recommendations for 11 clinical questions that are important to the diagnosis and treatment of TAK are developed based on the latest evidence and expert opinions combined with real clinical practice in China.

Long-term Cardiovascular Disease After Adverse Pregnancy Outcomes

Cardiovascular disease (CVD) is the leading cause of death among women. Adverse pregnancy outcomes (APOs) are cardiovascular risk factors that are unique to women and include gestational diabetes (GDM) and preeclampsia. While these risk factors emerge during the reproductive years and allow for early risk reduction counseling, they are often overlooked and not elicited by providers. This mini-review focuses primarily on GDM and preeclampsia, their relationship with CVD, mechanisms by which these conditions lead to CVD, and management, pharmacological and nonpharmacological, for the clinician who is caring for a woman with a history of an APO.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Pregnancy-associated risk factors for future cardiovascular disease - early prevention strategies warranted

We summarize convincing evidence that future cardiovascular disease (CVD) risk increases one-fold to four-fold for women with a history of pregnancy complicated by hypertensive disorders, gestational diabetes, fetal growth restriction, placental abruption and preterm birth. A concomitant occurrence of two or more complications in the same pregnancy further potentiates the risk. These women should be informed of their future CVD risks during the postpartum check-up taking place after delivery, and also, if needed, treated, for example, for persisting high blood pressure. In these women with high blood pressure, check-up should take place within 7-10 days, and if severe hypertension, within 72 h. Women without diagnostic signs and symptoms should be examined for the first time 1-2 years postpartum and then at intervals of 2-3 years for a complete CVD risk profile including clinical and laboratory assessments. Women should be informed for future CVD risks and their effective prevention with healthy lifestyle factors. Combined oral contraceptives should be avoided or used with caution. If laboratory or other clinical findings indicate, then vigorous treatments consisting of non-medical and medical (antihypertensives, statins, antidiabetic and anti-obesity therapies) interventions should be initiated early with liberal indications and with ambitious therapeutic goals. Low-dose aspirin and menopausal hormone therapy should be used in selected cases. Active control and treatment policies of these women with pregnancy-related risks will likely result in decreases of CVD occurrence in later life.

An Examination of the Effect of Aspirin and Salicylic Acid on Soluble Fms-like Tyrosine Kinase-1 Release from Human Placental Trophoblasts

Low-dose aspirin (LDA) is efficacious in preventing preeclampsia, but its mechanism of action is unclear. Conflicting evidence suggests that it may inhibit placental trophoblast release of soluble fms-like tyrosine kinase-1 (sFlt1), a key mediator of preeclampsia. We examined whether, and at what concentrations, aspirin and its principal metabolite, salicylic acid, modulate sFlt1 release and/or expression in trophoblasts. Human trophoblast lines BeWo and HTR-8/SVneo were cultured; BeWo cells were also treated with 1% oxygen vs. normoxia to mimic hypoxia in preeclamptic placentas. Cells were treated with aspirin or salicylic acid vs. vehicle for 24 h at concentrations relevant to LDA and at higher concentrations. Protein concentrations (ELISA) and mRNA expression (RT-PCR) of sFlt1 were determined. Under normoxia, LDA-relevant concentrations of aspirin (10-50 µmol/L) or salicylic acid (20-100 µmol/L) had no significant effect on sFlt1 protein release or mRNA expression in BeWo cells. However, inhibition was observed at higher concentrations (1 mmol/L for aspirin and ≥200 μmol/L for salicylic acid). Hypoxia enhanced sFlt1 protein release and mRNA expression in BeWo cells, but these responses were not significantly affected by either aspirin or salicylic acid at LDA concentrations. Similarly, neither drug altered sFlt1 protein secretion or mRNA expression in normoxic HTR-8/SVneo cells at LDA concentrations. We suggest that direct modulation of trophoblast release or expression of sFlt1 is unlikely to be a mechanism underlying the clinical efficacy of LDA in preeclampsia.

[Preeclampsia: Guidelines for clinical practice from the French College of Obstetricians and Gynecologists]

OBJECTIVE

To identify strategies to reduce maternal and neonatal morbidity related to preeclampsia.

MATERIAL AND METHODS

The quality of evidence of the literature was assessed following the GRADE® method with questions formulated in the PICO format (Patients, Intervention, Comparison, Outcome) and outcomes defined a priori and classified according to their importance. An extensive bibliographic search was performed on PubMed, Cochrane, EMBASE and Google Scholar databases. The quality of the evidence was assessed (high, moderate, low, very low) and recommendations were formulated as a (i) strong, (ii) weak or (iii) no recommendation. The recommendations were reviewed in two rounds with external reviewers (Delphi survey) to select the consensus recommendations.

RESULTS

Preeclampsia is defined by the association of gestational hypertension (systolic blood pressure≥140mmHg and/or diastolic blood pressure≥90mmHg) and proteinuria≥0.3g/24h or a Proteinuria/Creatininuria ratio≥30mg/mmol occurring after 20 weeks of gestation. Data from the literature do not show any benefit in terms of maternal or perinatal health from implementing a broader definition of preeclampsia. Of the 31 questions, there was agreement between the working group and the external reviewers on 31 (100%). In general population, physical activity during pregnancy should be encouraged to reduce the risk of preeclampsia (Strong recommendation, Quality of the evidence low) but an early screening based on algorithms (Weak recommendation, Quality of the evidence low) or aspirin administration (Weak recommendation, Quality of the evidence very low) is not recommended to reduce maternal and neonatal morbidity related to preeclampsia. In women with preexisting diabetes or hypertension or renal disease, or multiple pregnancy, the level of evidence is insufficient to determine whether aspirin administration during pregnancy is useful to reduce maternal and perinatal morbidity (No recommendation, Quality of the evidence low). In women with a history of vasculo-placental disease, low dose of aspirin (Strong recommendation, Quality of the evidence moderate) at a dosage of 100-160mg per day (Weak recommendation, Quality of the evidence low), ideally before 16 weeks of gestation and not after 20 weeks of gestation (Strong recommendation, Quality of the evidence low) until 36 weeks of gestation (Weak recommendation, Quality of the evidence very low) is recommended. In a high-risk population, additional administration of low molecular weight heparin is not recommended (Weak recommendation, Quality of the evidence moderate). In case of preeclampsia (Weak recommendation, Quality of the evidence low) or suspicion of preeclampsia (Weak recommendation, Quality of the evidence moderate, the assessment of PlGF concentration or sFLT-1/PlGF ratio is not routinely recommended) in the only goal to reduce maternal or perinatal morbidity. In women with non-severe preeclampsia antihypertensive agent should be administered orally when the systolic blood pressure is measured between 140 and 159mmHg or diastolic blood pressure is measured between 90 and 109mmHg (Weak recommendation, Quality of the evidence low). In women with non-severe preeclampsia, delivery between 34 and 36+6 weeks of gestation reduces severe maternal hypertension but increases the incidence of moderate prematurity. Taking into account the benefit/risk balance for the mother and the child, it is recommended not to systematically induce birth in women with non-severe preeclampsia between 34 and 36+6 weeks of gestation (Strong recommendation, Quality of evidence high). In women with non-severe preeclampsia diagnosed between 37+0 and 41 weeks of gestation, it is recommended to induce birth to reduce maternal morbidity (Strong recommendation, Low quality of evidence), and to perform a trial of labor in the absence of contraindication (Strong recommendation, Very low quality of evidence). In women with a history of preeclampsia, screening maternal thrombophilia is not recommended (Strong recommendation, Quality of the evidence moderate). Because women with a history of a preeclampsia have an increased lifelong risk of chronic hypertension and cardiovascular complications, they should be informed of the need for medical follow-up to monitor blood pressure and to manage other possible cardiovascular risk factors (Strong recommendation, Quality of the evidence moderate).

CONCLUSION

The purpose of these recommendations was to reassess the definition of preeclampsia, and to determine the strategies to reduce maternal and perinatal morbidity related to preeclampsia, during pregnancy but also after childbirth. They aim to help health professionals in their daily clinical practice to inform or care for patients who have had or have preeclampsia. Synthetic information documents are also offered for professionals and patients.

First trimester screening for pre-eclampsia and targeted aspirin prophylaxis: a cost-effectiveness cohort study

OBJECTIVE

Investigate cost-effectiveness of first trimester pre-eclampsia screening using the Fetal Medicine Foundation (FMF) algorithm and targeted aspirin prophylaxis in comparison with standard care.

DESIGN

Retrospective observational study.

SETTING

London tertiary hospital.

POPULATION

5957 pregnancies screened for pre-eclampsia using the National Institute for Health and Care Excellence (NICE) method.

METHODS

Differences in pregnancy outcomes between those who developed pre-eclampsia, term pre-eclampsia and preterm pre-eclampsia were compared by the Kruskal-Wallis and Chi-square tests. The FMF algorithm was applied retrospectively to the cohort. A decision analytic model was used to estimate costs and outcomes for pregnancies screened using NICE and those screened using the FMF algorithm. The decision point probabilities were calculated using the included cohort.

MAIN OUTCOME MEASURES

Incremental healthcare costs and QALY gained per pregnancy screened.

RESULTS

Of 5957 pregnancies, 12.8% and 15.9% were screen-positive for development of pre-eclampsia using the NICE and FMF methods, respectively. Of those who were screen-positive by NICE recommendations, aspirin was not prescribed in 25%. Across the three groups, namely, pregnancies without pre-eclampsia, term pre-eclampsia and preterm pre-eclampsia there was a statistically significant trend in rates of emergency caesarean (respectively 21%, 43% and 71.4%; P < 0.001), admission to neonatal intensive care unit (NICU) (5.9%, 9.4%, 41%; P < 0.001) and length of stay in NICU. The FMF algorithm was associated with seven fewer cases of preterm pre-eclampsia, cost saving of £9.06 and QALY gain of 0.00006/pregnancy screened.

CONCLUSIONS

Using a conservative approach, application of the FMF algorithm achieved clinical benefit and an economic cost saving.

Propensity score analysis of low-dose aspirin and bleeding complications in pregnancy

OBJECTIVE

Low-dose aspirin (LDA) has been shown to reduce the risk of preterm pre-eclampsia and it has been suggested that it should be recommended for all pregnancies. However, some studies have reported an association between LDA and an increased risk of bleeding complications in pregnancy. Our aim was to evaluate the risk of placental abruption and postpartum hemorrhage (PPH) in patients for whom their healthcare provider had recommended prophylactic aspirin.

METHODS

This multicenter cohort study included 72 598 singleton births at 19 hospitals in the USA, between January 2019 and December 2021. Pregnancies complicated by placenta previa/accreta, birth occurring at less than 24 weeks' gestation, multiple pregnancy or those with data missing for aspirin recommendation were excluded. Propensity scores were calculated using 20 features spanning sociodemographic factors, medical history, year and hospital providing care. The association between LDA recommendation and placental abruption or PPH was estimated by inverse-probability treatment weighting using the propensity scores.

RESULTS

We included 71 627 pregnancies in the final analysis. Aspirin was recommended to 6677 (9.3%) and was more likely to be recommended for pregnant individuals who were 35 years or older (P < 0.001), had a body mass index of 30 kg/m2 or higher (P < 0.001), had prepregnancy hypertension (P < 0.001) and who had a Cesarean delivery (P < 0.001). Overall, 1.7% of the study cohort (1205 pregnancies) developed preterm pre-eclampsia: 1.3% in the no-aspirin and 5.8% in the aspirin group. After inverse-probability weighting with propensity scores, aspirin was associated with increased risk of placental abruption (adjusted odds ratio (aOR), 1.44 (95% CI, 1.04-2.00)) and PPH (aOR, 1.21 (95% CI, 1.05-1.39)). The aOR translated to a number needed to harm with LDA of 79 (95% CI, 43-330) for PPH and 287 (95% CI, 127-3151) for placental abruption.

CONCLUSIONS

LDA recommendation in pregnancy was associated with increased risk for placental abruption and for PPH. Our results support the need for more research into aspirin use and bleeding complications in pregnancy before recommending it beyond the highest-risk pregnancies. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Let's talk aspirin: A survey of barriers and facilitators faced by midwives when engaging in conversations about aspirin with women at risk of pre-eclampsia

OBJECTIVE

Adherence to low-dose aspirin is key in preventing pre-eclampsia. Midwives are well positioned to support women to take aspirin as prescribed. This study aimed to understand the barriers and facilitators that midwives face during consultations with pregnant women about prophylactic aspirin.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional, UK-wide, quantitative and qualitative study of midwives was conducted between November 2020 and April 2021 using social media platforms. The survey was designed using the Theoretical Domains Framework by a team of researchers experienced in using it. An open-ended question was embedded in the survey to allow midwives to expand on matters related to the study subject.

FINDINGS

Out of 160 responders, 37.5 % indicated inadequate engagement in conversations with women about aspirin prophylaxis. Domains 'Knowledge' (OR 13.7, 95 %CI 5.7-32.7, p < 0.001), 'Professional role and Identity' (OR 15.3, 95 %CI 6.4-36.7, p < 0.001) and 'Beliefs about capabilities' (OR 13.6, 95 %CI 6.1-30.6, p < 0.001) were most prominently associated with effective engagement. Best fit model was comprised of 'Beliefs about Capabilities', 'Social/professional role and identity', and 'Knowledge'. Midwives' comments focused on barriers within 'environmental context' related to 'conflicting views' and 'deficit in resources' that compromise positive reinforcement of aspirin use. Responders also provided helpful 'Top tips' that streamline their daily practice.

CONCLUSION AND IMPLICATIONS FOR PRACTICE

Beliefs about Capabilities, Social/professional role and identity, Knowledge, and Environmental Context and resources are key domains related to midwives' engagement in conversations about aspirin in pregnancy. Clear, up-to date information for midwives and the public should be available in an easy access format to allow provision of unequivocal advice related to the use of aspirin in pregnancy.

The impact of long-term aspirin use on the patients undergoing shoulder arthroplasty

BACKGROUND

Although aspirin is increasingly utilized to reduce the event of severe perioperative complications, the effect of long-term aspirin use (L-AU) on perioperative complications in patients undergoing shoulder arthroplasty (SA) has not been well studied. The goal of the present study is to identify the influence of L-AU on perioperative complications in individuals undergoing SA.

METHODS

We selected data from the National Inpatient Sample database between 2010 and 2019, to identify adult patients with SA. Patients were subsequently categorized into L-AU and whole non-L-AU cohorts according to the presence of aspirin use. The demographic and comorbidity characteristics were matched using propensity score matching (PSM). The Pearson chi-square test, Wilcoxon rank test and logistic regression were utilized to assess the association of L-AU with perioperative complications.

RESULTS

From 2010 to 2019, a total of 162,418 SA patients satisfied the inclusion criteria, with 22,659 (13.95%) using aspirin on a long-term basis. The vast majority of the patients with pre-existing L-AU were aged 65-74 years, female, White and had Medicare insurance. L-AU before surgery was linked to increased risks of perioperative complications, such as blood transfusion (adjusted odds ratio [aOR]: 1.339), genitourinary disease (aOR: 1.349), acute renal failure (aOR: 1.292), acute myocardial infarction (aOR: 1.494), higher total charge (L-AU vs. the whole non-L-AU vs. matched non-L-AU: $66,727.15 vs. $59,697.08 vs. $59,926.32), and prolonged hospitalization stay (LOS) (aOR: 0.837). However, L-AU was considered a protective factor of acute cerebrovascular disease (aOR: 0.722) and stroke (aOR: 0.725).

CONCLUSIONS

Our study is based on the largest open-access all-payer inpatient database, revealing a noteworthy finding of aspirin's protective and adverse impact on different postoperative complications in the US population, such as acute cardiovascular disease, and stroke, etc. Further studies assessing the optimum preoperative aspirin duration and dosage to meet the best benefit quantity for patients with planned joint arthroplasties are suggested.