Signs or symptoms of suspected preeclampsia - A retrospective national database study of prevalence, costs, and outcomes.

BACKGROUND: Most patients with signs or symptoms (s/s) of suspected preeclampsia are not diagnosed with preeclampsia. We sought to determine and compare the prevalence of s/s, pregnancy outcomes, and costs between patients with and without diagnosed preeclampsia. METHODS: This retrospective cohort study analyzed a large insurance research database. Pregnancies with s/s of preeclampsia versus a confirmed preeclampsia diagnosis were identified using International Classification of Diseases codes. S/s include hypertension, proteinuria, headache, visual symptoms, edema, abdominal pain, and nausea/vomiting. Pregnancies were classed as 1) s/s of preeclampsia without a confirmed preeclampsia diagnosis (suspicion only), 2) s/s with a confirmed diagnosis (preeclampsia with suspicion), 3) diagnosed preeclampsia without s/s recorded (preeclampsia only), and 4) no s/s, nor preeclampsia diagnosis (control). RESULTS: Of 1,324,424 pregnancies, 29.2 % had ≥1 documented s/s of suspected preeclampsia, and 14.2 % received a preeclampsia diagnosis. Hypertension and headache were the most common s/s, leading 20.2 % and 9.2 % pregnancies developed to preeclampsia diagnosis, respectively. Preeclampsia, with or without suspicion, had the highest rates of hypertension-related severe maternal morbidity (HR [95 % CI]: 3.0 [2.7, 3.2] and 3.6 [3.3, 4.0], respectively) versus controls. A similar trend was seen in neonatal outcomes such as preterm delivery and low birth weight. Cases in which preeclampsia was suspected but not confirmed had the highest average total maternal care costs ($6096 [95 % CI: 602, 6170] over control). CONCLUSION: There is a high prevalence but poor selectivity of traditional s/s of preeclampsia, highlighting a clinical need for improved screening method and cost-effectiveness disease management.

Assessment of Red Blood Cell Aggregation in Preeclampsia by Microfluidic Image Flow Analysis-Impact of Oxidative Stress on Disease Severity.

Preeclampsia (PE) is a hypertensive disease characterized by proteinuria, endothelial dysfunction, and placental hypoxia. Reduced placental blood flow causes changes in red blood cell (RBC) rheological characteristics. Herein, we used microfluidics techniques and new image flow analysis to evaluate RBC aggregation in preeclamptic and normotensive pregnant women. The results demonstrate that RBC aggregation depends on the disease severity and was higher in patients with preterm birth and low birth weight. The RBC aggregation indices (EAI) at low shear rates were higher for non-severe (0.107 ± 0.01) and severe PE (0.149 ± 0.05) versus controls (0.085 ± 0.01; p < 0.05). The significantly more undispersed RBC aggregates were found at high shear rates for non-severe (18.1 ± 5.5) and severe PE (25.7 ± 5.8) versus controls (14.4 ± 4.1; p < 0.05). The model experiment with in-vitro-induced oxidative stress in RBCs demonstrated that the elevated aggregation in PE RBCs can be partially due to the effect of oxidation. The results revealed that RBCs from PE patients become significantly more adhesive, forming large, branched aggregates at a low shear rate. Significantly more undispersed RBC aggregates at high shear rates indicate the formation of stable RBC clusters, drastically more pronounced in patients with severe PE. Our findings demonstrate that altered RBC aggregation contributes to preeclampsia severity.

A cinenurducation activity using Call the Midwife to teach about sexually transmitted infections and preeclampsia: design, implementation, and assessment.

BACKGROUND: Nursing students need to learn about sexually transmitted infections and preeclampsia. Cinenureducation is a rigorous method that uses materials from commercial movies or television series to teach health sciences students. OBJECTIVES: Using content analysis of the television series Call the Midwife, design a cinenureducation activity teaching nursing students about sexually transmitted infections and preeclampsia. Evaluate its effectiveness in knowledge acquisition. DESIGN, IMPLEMENTATION, AND PRE-POST ASSESSMENT OF KNOWLEDGE GAIN FOR TEACHING ACTIVITIES: The study comprised three main steps: designing the teaching activity, implementing it, and analyzing its pedagogical effectiveness through a pre-and-post study to assess knowledge acquisition resulting from the teaching activity. PARTICIPANTS: A six-member panel assessed the suitability of materials for the teaching goals. All second-year undergraduate nursing students in the course "Nursing management and leadership" at a nursing school in the 2022-2023 academic year were invited to participate (N = 160). METHODS: The panel conducted a content analysis of the first two seasons of the series to determine the usefulness of each episode for teaching the chosen topics. Students were randomly assigned to groups watching episodes emphasizing either sexually transmitted infections or preeclampsia, followed by discussion. Learning was gauged through a pre-post viewing 20-question multiple-choice test. Additionally, students' satisfaction was evaluated. RESULTS: A total of 142 nursing students participated. Significant differences between mean scores before and after intervention were found [6.90 vs. 6.42 on the preintervention assessment, p < 0.05; mean gain, 0.49 (95 % CI: 0.22-0.76)]. Most students were satisfied with the activity. CONCLUSIONS: The activity was useful for teaching about sexually transmitted infections and preeclampsia. The use of a television series portraying nurses enables the exploration of these critical topics. This has potential implications for integrating similar methods into nurse education curricula, emphasizing the broader impact of the research on pedagogical practices in healthcare education.

Racial differences in hypertensive disorders in pregnancy during the COVID-19 pandemic.

OBJECTIVE: To compare rates of pregnancy induced hypertensive disorders during the period of the COVID-19 pandemic to prior, baseline years. METHODS: We conducted a retrospective study of 17,742 patients on rates for pregnancy induced hypertensive disorders delivering at 2 local hospitals before (Cohort 1; January 2018 to December 2019; n = 8245) and after (Cohort 2; February 2020 to February 2022; n = 9497) the onset of the COVID-19 pandemic. The primary outcomes were rates of gestational hypertension, pre-eclampsia, and chronic hypertension in patients.Wecompared by year (2018-2022), by patient COVID infection status, and by racial demographics. RESULTS: During the pandemic (Cohort 2), there were lower rates of chronic hypertension (7.4 % vs 6.5 %, p =.02), higher rates of gestational hypertension (26.3 % vs 27.8 %, p =.03), and higher rates of preeclampsia (11.3 % vs 13.1 %, p <.001) compared to years prior to the pandemic (Cohort 1). When evaluating by year, rates of chronic hypertension did not statistically change while rates for preeclampsia increased in the first year of the pandemic and remained high, and rates for gestational hypertension did not increase until the second year of the pandemic. When evaluating by COVID infection status, rates for gestational hypertension were significantly higher for individuals with a positive COVID infection status (COVID negative = 27.4 % vs. COVID positive = 32.8 %; p <.004). Rates of preeclampsia did not differ according to COVID infection status (p = 0.15). CONCLUSION: In this study, rates of pregnancy induced hypertensive disorders increased during the COVID pandemic regardless of COVID infection status.

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

BACKGROUND: Affecting 2-4% of pregnancies, pre-eclampsia is a leading cause of maternal death and morbidity worldwide. Using routinely available data, we aimed to develop and validate a novel machine learning-based and clinical setting-responsive time-of-disease model to rule out and rule in adverse maternal outcomes in women presenting with pre-eclampsia. METHODS: We used health system, demographic, and clinical data from the day of first assessment with pre-eclampsia to predict a Delphi-derived composite outcome of maternal mortality or severe morbidity within 2 days. Machine learning methods, multiple imputation, and ten-fold cross-validation were used to fit models on a development dataset (75% of combined published data of 8843 patients from 11 low-income, middle-income, and high-income countries). Validation was undertaken on the unseen 25%, and an additional external validation was performed in 2901 inpatient women admitted with pre-eclampsia to two hospitals in south-east England. Predictive risk accuracy was determined by area-under-the-receiver-operator characteristic (AUROC), and risk categories were data-driven and defined by negative (-LR) and positive (+LR) likelihood ratios. FINDINGS: Of 8843 participants, 590 (6·7%) developed the composite adverse maternal outcome within 2 days, 813 (9·2%) within 7 days, and 1083 (12·2%) at any time. An 18-variable random forest-based prediction model, PIERS-ML, was accurate (AUROC 0·80 [95% CI 0·76-0·84] vs the currently used logistic regression model, fullPIERS: AUROC 0·68 [0·63-0·74]) and categorised women into very low risk (-LR <0·1; eight [0·7%] of 1103 women), low risk (-LR 0·1 to 0·2; 321 [29·1%] women), moderate risk (-LR >0·2 and +LR <5·0; 676 [61·3%] women), high risk (+LR 5·0 to 10·0, 87 [7·9%] women), and very high risk (+LR >10·0; 11 [1·0%] women). Adverse maternal event rates were 0% for very low risk, 2% for low risk, 5% for moderate risk, 26% for high risk, and 91% for very high risk within 48 h. The 2901 women in the external validation dataset were accurately classified as being at very low risk (0% with outcomes), low risk (1%), moderate risk (4%), high risk (33%), or very high risk (67%). INTERPRETATION: The PIERS-ML model improves identification of women with pre-eclampsia who are at lowest and greatest risk of severe adverse maternal outcomes within 2 days of assessment, and can support provision of accurate guidance to women, their families, and their maternity care providers. FUNDING: University of Strathclyde Diversity in Data Linkage Centre for Doctoral Training, the Fetal Medicine Foundation, The Canadian Institutes of Health Research, and the Bill & Melinda Gates Foundation.

Optical coherence tomography angiography assessment of retinochoroidal microcirculation differences in preeclampsia.

BACKGROUND: To investigate microvascular changes in pregnant women with preeclampsia using optical coherence tomography angiography (OCTA) and compare the results with healthy pregnant and non-pregnant subjects. METHODS: Superficial capillary plexus (SCP), deep capillary plexus (DCP) choriocapillaris (CC) vessel density (VD) and foveal avascular zone area (FAZ), retina, retinal nerve fiber layer (RNFL), the ganglion cell layer (GCL) and the choroidal thickness were examined and compared in preeclamptic pregnant (group 1), healthy pregnant women (group 2) and non-pregnant, age-matched female controls (group 3). The correlations of the parameters with each other and with blood pressure were evaluated. RESULTS: No significant difference was found between the groups when retinal, RNFL and GCL thickness values (p> 0.05). The choroidal thickness values were significantly lower in group 1 than in group 2 (p = 0.029). The central foveal VD of the SCP and DCP was significantly lower in group 1 compared to groups 2 and 3 (p = 0.03, p< 0.01 respectively). The mean VD of the SCP was significantly higher in groups 1 and 2 than in group 3 (p = 0.01). The FAZ area was statistically significantly lower in group 3 than in group 2 (p = 0.032). The CC VD was lower in group 3 compared to the other groups in all measurements (p < 0.01).The FAZ area was positively correlated with systolic blood pressure in group 1. CONCLUSION: The use of OCTA, a non-invasive imaging technique, to assess the retinal microcirculation appears to have the potential to in the early diagnosis or follow up in preeclampsia before signs of hypertensive retinopathy.

The role of lung and cardiac ultrasound for cardiovascular hemodynamic assessment of women with preeclampsia.

Preeclampsia remains the leading cause of maternal morbidity and mortality and is associated with abnormal body fluid homeostasis and cardiovascular dysfunction. Moreover, 2 distinct hemodynamic phenotypes have been described in preeclampsia, which might require different therapeutic approaches. Fluid restriction is mandatory in women at risk of pulmonary edema, whereas additional fluid administration may be required to correct tissue hypoperfusion in women with intravascular volume depletion. As clinical examination alone cannot discriminate among different hemodynamic patterns, optimal management of women with preeclampsia remains challenging. Noninvasive bedside ultrasound has become an important diagnostic and monitoring tool in critically ill patients, and it has been demonstrated that it can also be used in the monitoring of women with preeclampsia. Echocardiography in combination with lung ultrasound provides information on hemodynamic status, cardiac function, lung congestion, and fluid responsiveness and, therefore, could help clinicians identify women at higher risk of life-threatening complications. This review describes the cardiovascular changes in preeclampsia and provides an overview of the ultrasound methodologies that could be efficiently used for better hemodynamic assessment and management of women with preeclampsia.

Self-monitoring blood pressure in Pregnancy: Evaluation of health professional experiences of the BUMP trials.

BACKGROUND: The BUMP trials evaluated a self-monitoring of blood pressure intervention in addition to usual care, testing whether they improved detection or control of hypertension for women at risk of hypertension or with hypertension during pregnancy. This process evaluation aimed to understand healthcare professionals' perspectives and experiences of the BUMP trials of self-monitoring of blood pressure during pregnancy. METHODS: Twenty-two in-depth qualitative interviews and an online survey with 328 healthcare professionals providing care for pregnant people in the BUMP trials were carried out across five maternity units in England. RESULTS: Analysis used Normalisation Process Theory to identify factors required for successful implementation and integration into routine practice. Healthcare professionals felt self-monitoring of blood pressure did not over-medicalise pregnancy for women with, or at risk of, hypertension. Most said self-monitored readings positively affected their clinical encounters and professional roles, provided additive information on which to base decisions and enriched their relationships with pregnant people. Self-monitoring of blood pressure shifts responsibilities. Some healthcare professionals felt women having responsibility to decide on timing of monitoring and whether to act on self-monitored readings was unduly burdensome, and resulted in healthcare professionals taking additional responsibility for supporting them. CONCLUSIONS: Despite healthcare professionals' early concerns that self-monitoring of blood pressure might over-medicalise pregnancy, our analysis shows the opposite was the case when used in the care of pregnant people with, or at higher risk of, hypertension. While professionals retained ultimate clinical responsibility, they viewed self-monitoring of blood pressure as a means of sharing responsibility and empowering women to understand their bodies, to make judgements and decisions, and to contribute to their care.

An early screening model for preeclampsia: utilizing zero-cost maternal predictors exclusively.

To provide a reliable, low-cost screening model for preeclampsia, this study developed an early screening model in a retrospective cohort (25,709 pregnancies) and validated in a validation cohort (1760 pregnancies). A data augmentation method (α-inverse weighted-GMM + RUS) was applied to a retrospective cohort before 10 machine learning models were simultaneously trained on augmented data, and the optimal model was chosen via sensitivity (at a false positive rate of 10%). The AdaBoost model, utilizing 16 predictors, was chosen as the final model, achieving a performance beyond acceptable with Area Under the Receiver Operating Characteristic Curve of 0.8008 and sensitivity of 0.5190. All predictors were derived from clinical characteristics, some of which were previously unreported (such as nausea and vomiting in pregnancy and menstrual cycle irregularity). Compared to previous studies, our model demonstrated superior performance, exhibiting at least a 50% improvement in sensitivity over checklist-based approaches, and a minimum of 28% increase over multivariable models that solely utilized maternal predictors. We validated an effective approach for preeclampsia early screening incorporating zero-cost predictors, which demonstrates superior performance in comparison to similar studies. We believe the application of the approach in combination with high performance approaches could substantially increase screening participation rate among pregnancies. Machine learning model for early preeclampsia screening, using 16 zero-cost predictors derived from clinical characteristics, was built on a 10-year Chinese cohort. The model outperforms similar research by at least 28%; validated on an independent cohort.

Treating Mild Chronic Hypertension During Pregnancy: A Cost-Effectiveness Analysis.

OBJECTIVE: To assess the cost effectiveness of targeting a blood pressure of less than 140/90 mm Hg compared with 160/105 mm Hg. METHODS: A decision-analytic model was constructed to compare the treatment of chronic hypertension in pregnancy at mild-range blood pressures (140/90 mm Hg) with the treatment of chronic hypertension before 20 weeks of gestation at severe-range blood pressures (160/105 mm Hg) in a theoretical cohort of 180,000 patients with mild chronic hypertension. Probabilities, costs, and utilities were derived from literature and varied in sensitivity analyses. Primary outcomes included incremental cost per quality-adjusted life-year (QALY), cases of preeclampsia, preeclampsia with severe features, severe maternal morbidity (SMM), preterm birth, maternal death, neonatal death, and neurodevelopmental delay. The cost-effectiveness threshold was $100,000 per QALY. RESULTS: Treating chronic hypertension in a population of 180,000 pregnant persons at mild-range blood pressures, compared with severe-range blood pressures, resulted in 14,177 fewer cases of preeclampsia (43,953 vs 58,130), 11,835 of which were cases of preeclampsia with severe features (40,530 vs 52,365). This led to 817 fewer cases of SMM (4,375 vs 5,192), and 18 fewer cases of maternal death (102 vs 120). Treating at a lower threshold also resulted in 8,078 fewer cases of preterm birth (22,000 vs 30,078), which led to 26 fewer neonatal deaths (276 vs 302) and 157 fewer cases of neurodevelopmental delay (661 vs 818). Overall, treating chronic hypertension at a lower threshold was a dominant strategy that resulted in decreased costs of $600 million and increased effectiveness of 12,852 QALYs. CONCLUSION: Treating chronic hypertension at a threshold of mild-range blood pressures is a dominant (lower costs, better outcomes) and cost-effective strategy that results in fewer neonatal and maternal deaths compared with the standard treatment of treating at severe range blood pressures.

Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.

Importance: Lower educational attainment is associated with increased risk of adverse pregnancy outcomes, but it is unclear which pathways mediate this association. Objective: To investigate the association between educational attainment and pregnancy outcomes and the proportion of this association that is mediated through modifiable cardiometabolic risk factors. Design, Setting, and Participants: In this 2-sample mendelian randomization (MR) cohort study, uncorrelated (R2 < 0.01) single-nucleotide variants (formerly single-nucleotide polymorphisms) associated with the exposure (P < 5 × 10-8) and mediators and genetic associations with the pregnancy outcomes from genome-wide association studies were extracted. All participants were of European ancestry and were largely from Finland, Iceland, the United Kingdom, or the US. The inverse variance-weighted method was used in the main analysis, and the weighted median, weighted mode, and MR Egger regression were used in sensitivity analyses. In mediation analyses, the direct effect of educational attainment estimated in multivariable MR was compared with the total effect estimated in the main univariable MR analysis. Data were extracted between December 1, 2022, and April 30, 2023. Exposure: Genetically estimated educational attainment. The mediators considered were genetically estimated type 2 diabetes, body mass index, smoking, high-density lipoprotein cholesterol level, and systolic blood pressure. Main Outcomes and Measures: Ectopic pregnancy, hyperemesis gravidarum, gestational diabetes, preeclampsia, preterm birth, and offspring birth weight. Results: The analyses included 3 037 499 individuals with data on educational attainment, and those included in studies on pregnancy outcomes ranged from 141 014 for ectopic pregnancy to 270 002 with data on offspring birth weight. Each SD increase in genetically estimated educational attainment (ie, 3.4 years) was associated with an increased birth weight of 42 (95% CI, 28-56) g and an odds ratio ranging from 0.53 (95% CI, 0.46-0.60) for ectopic pregnancy to 0.81 (95% CI, 0.71-0.93) for preeclampsia. The combined proportion of the association that was mediated by the 5 cardiometabolic risk factors ranged from -17% (95% CI, -46% to 26%) for hyperemesis gravidarum to 78% (95% CI, 10%-208%) for preeclampsia. Sensitivity analyses accounting for pleiotropy were consistent with the main analyses. Conclusions and Relevance: In this MR cohort study, intervening for type 2 diabetes, body mass index, smoking, high-density lipoprotein cholesterol level, and systolic blood pressure may lead to reductions in several adverse pregnancy outcomes associated with lower levels of education. Such public health interventions would serve to reduce health disparities attributable to social inequalities.

Assessment of transcranial Doppler indices after MgSO4 administration in severe preeclamptic women with neurologic symptoms.

PURPOSE: To investigate the effect of intravenous MgSO4 on maternal cerebral hemodynamics as well as the association between altered Doppler indices of the ophthalmic arteries and ocular lesions in patients with preeclampsia. METHODS: After each of the 15 included patients was diagnosed with preeclampsia, MgSO4 was infused followed by transcranial Doppler tests of the indices of the ophthalmic, anterior, middle, posterior cerebral, vertebral, and basilar arteries, followed by a second MgSO4 infusion. The peak, mean, diastolic velocity, and pulsatile and resistance indices of each artery were automatically measured during testing. Based on the emergent data, the cerebral perfusion pressure, resistance-area product, and cerebral flow index were calculated. RESULTS: The cerebral perfusion pressure of the posterior cerebral arteries significantly decreased following the infusion of MgSO4 (p < 0.05). Before the infusion of MgSO4, cerebral perfusion pressure and cerebral flow index of the ophthalmic arteries were significantly increased (p < 0.05) in the preeclamptic pregnant patients with ocular lesions compared those without ocular lesions. After the infusion of MgSO4, the cerebral perfusion pressure and cerebral flow index of both ophthalmic arteries were slightly decreased, but the difference was not significant. CONCLUSIONS: Altered Doppler indices following the infusion of MgSO4 suggest significant changes in the hemodynamics of the posterior cerebral and ophthalmic arteries that are particularly related to the neurological signs and symptoms of women with preeclampsia. These findings may improve the understanding of the mechanism of the cerebral complications of preeclampsia. Advancing comprehension of these underlying mechanisms is postulated to play a pivotal role in the mitigation of hypertensive encephalopathy associated with preeclampsia.

Detection and Control of Pregnancy Hypertension Using Self-Monitoring of Blood Pressure With Automated Telemonitoring: Cost Analyses of the BUMP Randomized Trials.

BACKGROUND: Pregnancy hypertension continues to cause maternal and perinatal morbidity. Two linked UK randomized trials showed adding self-monitoring of blood pressure (SMBP) with automated telemonitoring to usual antenatal care did not result in earlier detection or better control of pregnancy hypertension. This article reports the trials' integrated cost analyses. METHODS: Two cost analyses. SMBP with usual care was compared with usual care alone in pregnant individuals at risk of hypertension (BUMP 1 trial [Blood Pressure Monitoring in High Risk Pregnancy to Improve the Detection and Monitoring of Hypertension], n=2441) and with hypertension (BUMP 2 trial, n=850). Clinical notes review identified participant-level antenatal, intrapartum, and postnatal care and these were costed. Comparisons between trial arms used means and 95% CIs. Within BUMP 2, chronic and gestational hypertension cohorts were analyzed separately. Telemonitoring system costs were reported separately. RESULTS: In BUMP 1, mean (SE) total costs with SMBP and with usual care were £7200 (£323) and £7063 (£245), respectively, mean difference (95% CI), £151 (-£633 to £936). For the BUMP 2 chronic hypertension cohort, corresponding figures were £13 384 (£1230), £12 614 (£1081), mean difference £323 (-£2904 to £3549) and for the gestational hypertension cohort were £11 456 (£901), £11 145 (£959), mean difference £41 (-£2486 to £2567). The per-person cost of telemonitoring was £6 in BUMP 1 and £29 in BUMP 2. CONCLUSIONS: SMBP was not associated with changes in the cost of health care contacts for individuals at risk of, or with, pregnancy hypertension. This is reassuring as SMBP in pregnancy is widely prevalent, particularly because of the COVID-19 pandemic. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03334149.

Disparate Risk Factors Among Pregnant Veterans Using Veterans Administration Health Benefits for Community-Based Obstetrical Care.

INTRODUCTION: Veterans using the Veterans Administration Health Care System (VAHCS) for obstetrical care experience disparate pregnancy-related risks and health outcomes when compared to their pregnant counterparts. This study examined the prevalence of risk factors associated with pregnancy-related comorbidities among U.S. Veterans receiving obstetrical care using VAHCS benefits in Birmingham, Alabama. MATERIALS AND METHODS: A retrospective chart review was conducted of pregnant Veterans receiving care at a large Veterans Administration facility from 2018 to 2021. Using one-sample t-tests, the data from the study charts were compared to the Alabama overall prevalence of tobacco and alcohol use, pregnancy-related hypertension/preeclampsia, and gestational diabetes and, when the Alabama data were unavailable, the U.S. national average prevalence of overweight, obesity, pre-pregnancy hypertension, posttraumatic stress disorder, depression, and anxiety among patients receiving obstetrical care. The institutional review board at the Birmingham VAHCS approved the study, with an exemption for human subjects research. RESULTS: The study sample (N = 210) experienced higher levels of obesity (42.3% vs. 24.3%, P < .001), tobacco (21.9% vs. 10.8%, P < .001) and alcohol (19.5% vs. 5.4%, P < .001) use, pre-pregnancy hypertension (10.5% vs. 2.1%, P < .001), posttraumatic stress disorder (33.8% vs. 3.3%, P < .001), anxiety (66.7% vs. 15.2%, P < .001), and depression (66.7% vs. 15.0, P < .001). Fewer patients in the study sample were classified as overweight (16.7% vs. 25.5%, P < .001), developed pregnancy-related hypertension/preeclampsia (7.6% vs. 14.4%, P < .001), or were diagnosed with gestational diabetes (7.1% vs. 10.2%, P < .001). The results did not vary by race or age. CONCLUSION: The findings highlight the need for further examination of social factors that may be driving disparities among pregnant Veterans, who may benefit from supplemental services to address modifiable comorbidities. Additionally, the implementation of a centralized database to track pregnancy-related outcomes for Veterans would allow these comorbidities to be more closely monitored and addressed. Heightened awareness of a patient's Veteran status and associated increased risks can alert providers to screen for depression and anxiety more frequently and to familiarize themselves with additional services the VAHCS may offer to patients. These steps could improve referrals to counseling and/or targeted exercise interventions.

Community-Level Factors are Predictors of Severe Maternal Morbidity Among American Indian and Alaska Native Pregnant People in the Pacific Northwest in a Multilevel Logistic Regression.

INTRODUCTION: American Indian/Alaska Native (AI/AN) pregnant people face barriers to health and healthcare that put them at risk of pregnancy complications. Rates of severe maternal morbidity (SMM) among Indigenous pregnant people are estimated to be twice that of non-Hispanic White (NHW) pregnant people. METHODS: Race-corrected Oregon Hospital Discharge and Washington Comprehensive Hospital Abstract Reporting System data were combined to create a joint dataset of births between 2012 and 2016. The analytic sample was composed of 12,535 AI/AN records and 313,046 NHW records. A multilevel logistic regression was used to assess the relationship between community-level, individual and pregnancy risk factors on SMM for AI/AN pregnant people. RESULTS: At the community level, AI/AN pregnant people were more likely than NHW to live in mostly or completely rural counties with low median household income and high uninsured rates. They were more likely to use Medicaid, be in a high-risk age category, and have diabetes or obesity. During pregnancy, AI/AN pregnant people were more likely to have insufficient prenatal care (PNC), gestational diabetes, and pre-eclampsia. In the multilevel model, county accounted for 6% of model variance. Hypertension pre-eclampsia, and county rurality were significant predictors of SMM among AI/AN pregnant people. High-risk age, insufficient PNC and a low county insured rate were near-significant at p < 0.10. DISCUSSION: Community-level factors are significant contributors to SMM risk for AI/AN pregnant people in addition to hypertension and pre-eclampsia. These findings demonstrate the need for targeted support in pregnancy to AI/AN pregnant people, particularly those who live in rural and underserved communities.

What is already known on this subject? American Indian and Alaska Native pregnant people face higher rates of severe maternal morbidity and mortality, and the risk is exacerbated for rural Indigenous pregnant people.What this study adds? This publication uses a multilevel model to assess the contribution of community-level factors in severe maternal morbidity risk for American Indian and Alaska Native pregnant people. This analysis highlights the important role that rurality, prenatal care adequacy and access to insurance play in maternal morbidity risk and discusses how those risks are disproportionately felt by American Indian and Alaska Native pregnant people in the Pacific Northwest.

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.

Discovery and verification of extracellular microRNA biomarkers for diagnostic and prognostic assessment of preeclampsia at triage.

We report on the identification of extracellular miRNA (ex-miRNA) biomarkers for early diagnosis and prognosis of preeclampsia (PE). Small RNA sequencing of maternal serum prospectively collected from participants undergoing evaluation for suspected PE revealed distinct patterns of ex-miRNA expression among different categories of hypertensive disorders in pregnancy. Applying an iterative machine learning method identified three bivariate miRNA biomarkers (miR-522-3p/miR-4732-5p, miR-516a-5p/miR-144-3p, and miR-27b-3p/let-7b-5p) that, when applied serially, distinguished between PE cases of different severity and differentiated cases from controls with a sensitivity of 93%, specificity of 79%, positive predictive value (PPV) of 55%, and negative predictive value (NPV) of 89%. In a small independent validation cohort, these ex-miRNA biomarkers had a sensitivity of 91% and specificity of 57%. Combining these ex-miRNA biomarkers with the established sFlt1:PlGF protein biomarker ratio performed better than either set of biomarkers alone (sensitivity of 89.4%, specificity of 91.3%, PPV of 95.5%, and NPV of 80.8%).

Cost-effectiveness analysis of a first-trimester screening test for preterm preeclampsia in the Netherlands.

OBJECTIVES: The risk of preterm preeclampsia (PT PE) can significantly be reduced by starting acetylsalicylic acid ≤ 16 weeks of gestational age. First trimester predictive models based on maternal risk factors to effectively start this therapy lacked sufficient power, but recent studies showed that these models can be improved by including test results of biochemical and/or -physical markers. To investigate whether testing a biochemical marker in the first trimester is cost-effective in the Netherlands, a cost-effectiveness analysis was performed in this study. STUDY DESIGN: The outcome of this study was expressed as an incremental cost-effectiveness ratio (ICER) with as effect prevented PT PE cases. To evaluate the impact of each model parameter and to determine model uncertainties, both univariate and probabilistic sensitivity analyses were performed. RESULTS: When compared to the baseline strategy, the test strategy is estimated to save almost 4 million euros per year on a national scale and at the same time this would prevent an additional 228 PT PE cases. The sensitivity analyses showed that the major drivers of the result are the costs to monitor a high-risk pregnancy and the specificity and that most of the model simulations were in the southeast quadrant: cost saving and more prevented complications. CONCLUSIONS: This study showed that a first-trimester test strategy to screen for PT PE in the first trimester is potentially cost-effective in the Dutch healthcare setting. The fact that the specificity is a major driver of the ICER indicates the importance for a (new) screening model to correctly classify low-risk pregnancies.

Leveraging quality improvement to promote health equity: standardization of prenatal aspirin recommendations.

OBJECTIVE: Aspirin (ASA) is recommended for patients at elevated risk of preeclampsia. Limited data exists on adherence to guidelines for ASA prescription. This project evaluates the implementation of a standardized approach to ASA prescription in an academic OB/Gyn practice. METHODS: We implemented a quality improvement project to evaluate compliance with the United States Preventative Services Task Force (USPSTF) recommendations for ASA to prevent preeclampsia. Pre-intervention, we analyzed prescription adherence at 201 New Obstetric (NOB) visits. A multi-step intervention was then implemented at 199 NOB visits. Nurses utilized a checklist created from USPSTF guidelines to identify high-risk patients, defined as having ≥1 high-risk factor or ≥2 moderate-risk factors. ASA orders were placed by physicians. A Plan-Do-Study-Act (PDSA) cycle was performed, and changes implemented. Primary outcome was percent of patients screened at RN intake visit (goal = 90%). Secondary outcomes were percent of patients who screened positive that received the ASA recommendation (goal = 80%) and percent screened and recommended by race. RESULTS: Pre-intervention, 47% of patients met criteria for ASA and 28% received a documented recommendation. Post-intervention, 99% were screened. Half (48%) met criteria for an ASA recommendation and 79% received a recommendation (p = < 0.001). Rates of appropriate recommendation did not differ by Black (80%) vs. non-Black (79%) status (p = 0.25). Subsequent PDSA cycles for 12 months neared 100% RN screening rates. Physicians correctly recommended ASA 80-100% of the time. CONCLUSION: It is feasible, sustainable and equitable to standardize screening and implementation of ASA to patients at high risk for preeclampsia. Providers can easily reproduce our processes to improve delivery of equitable and reliable preventative obstetric care.