Trends in gestational diabetes mellitus among nulliparous pregnant individuals with singleton live births in the United States between 2011 to 2019: an age-period-cohort analysis

BACKGROUND

The rate of gestational diabetes mellitus has increased over the past decade. An age, period, and cohort epidemiologic analysis can be used to understand how and why disease trends have changed over time.

OBJECTIVE

This study aimed to estimate the associations of age (at delivery), period (delivery year), and cohort (birth year) of the pregnant individual with trends in the incidence of gestational diabetes mellitus in the United States.

STUDY DESIGN

We conducted an age, period, and cohort analysis of nulliparous pregnant adults aged 18 to 44 years with singleton live births from the National Vital Statistics System from 2011 to 2019. Generalized linear mixed models were used to calculate the adjusted rate ratios for the incidence of gestational diabetes mellitus for each 3-year maternal age span, period, and cohort group compared with the reference group for each. We repeated the analyses with stratification according to self-reported racial and ethnic group (non-Hispanic Asian-Pacific Islander, non-Hispanic Black, Hispanic, and non-Hispanic White) because of differences in the incidence of and risk factors for gestational diabetes mellitus by race and ethnicity.

RESULTS

Among 11,897,766 pregnant individuals, 5.2% had gestational diabetes mellitus. The incidence of gestational diabetes mellitus was higher with increasing 3-year maternal age span, among those in the more recent delivery period, and among the younger birth cohort. For example, individuals aged 42 to 44 years at delivery had a 5-fold higher risk for gestational diabetes mellitus than those aged 18 to 20 years (adjusted rate ratio, 5.57; 95% confidence interval, 5.43-5.72) after adjusting for cohort and period. Individuals who delivered between 2017 and 2019 were at higher risk for gestational diabetes mellitus than those who delivered between 2011 and 2013 (adjusted rate ratio, 1.24; 95% confidence interval, 1.23-1.25) after adjusting for age and cohort. Individuals born between 1999 and 2001 had a 3-fold higher risk for gestational diabetes mellitus than those born between 1969 and 1971 (adjusted rate ratio, 3.12; 95% confidence interval, 2.87-3.39) after adjusting for age and period. Similar age, period, and cohort effects were observed for the assessed racial and ethnic groups, with the greatest period effects observed among Asian and Pacific Islander individuals.

CONCLUSION

Period and birth cohort effects have contributed to the rising incidence of gestational diabetes mellitus in the United States from 2011 to 2019.

Association Between Giving Birth During the Early Coronavirus Disease 2019 (COVID-19) Pandemic and Serious Maternal Morbidity

OBJECTIVE

To evaluate whether delivering during the early the coronavirus disease 2019 (COVID-19) pandemic was associated with increased risk of maternal death or serious morbidity from common obstetric complications compared with a historical control period.

METHODS

This was a multicenter retrospective cohort study with manual medical-record abstraction performed by centrally trained and certified research personnel at 17 U.S. hospitals. Individuals who gave birth on randomly selected dates in 2019 (before the pandemic) and 2020 (during the pandemic) were compared. Hospital, health care system, and community risk-mitigation strategies for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in response to the early COVID-19 pandemic are described. The primary outcome was a composite of maternal death or serious morbidity from common obstetric complications, including hypertensive disorders of pregnancy (eclampsia, end organ dysfunction, or need for acute antihypertensive therapy), postpartum hemorrhage (operative intervention or receipt of 4 or more units blood products), and infections other than SARS-CoV-2 (sepsis, pelvic abscess, prolonged intravenous antibiotics, bacteremia, deep surgical site infection). The major secondary outcome was cesarean birth.

RESULTS

Overall, 12,133 patients giving birth during and 9,709 before the pandemic were included. Hospital, health care system, and community SARS-CoV-2 mitigation strategies were employed at all sites for a portion of 2020, with a peak in modifications from March to June 2020. Of patients delivering during the pandemic, 3% had a positive SARS-CoV-2 test result during pregnancy through 42 days postpartum. Giving birth during the pandemic was not associated with a change in the frequency of the primary composite outcome (9.3% vs 8.9%, adjusted relative risk [aRR] 1.02, 95% CI 0.93-1.11) or cesarean birth (32.4% vs 31.3%, aRR 1.02, 95% CI 0.97-1.07). No maternal deaths were observed.

CONCLUSION

Despite substantial hospital, health care, and community modifications, giving birth during the early COVID-19 pandemic was not associated with higher rates of serious maternal morbidity from common obstetric complications.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov, NCT04519502.

Optimization of the Mood Disorder Questionnaire in identification of perinatal bipolar disorder

BACKGROUND

The recognition of bipolar disorder during the perinatal period is often challenging because birthing people most commonly present in a depressive episode. The phenotypic expression of episodes of bipolar depression is difficult to differentiate from major depressive disorder and can lead to misdiagnosis and inappropriate treatment. The Mood Disorder Questionnaire is a readily available screening tool for bipolar disorder that has been validated in previous studies for use in the general and perinatal populations. However, the discriminatory capacity of the Mood Disorder Questionnaire for perinatal people who screen positive for depression in nonpsychiatric settings is still unclear.

OBJECTIVE

This study aimed to evaluate the discriminatory capacity of the Mood Disorder Questionnaire to identify bipolar disorder in perinatal people who screen positive for depression on the Patient Health Questionnaire-9.

STUDY DESIGN

This retrospective cohort study included individuals enrolled in the Collaborative Care Model for Perinatal Depression Support Services, a collaborative care program for perinatal mental health services implemented in a quaternary care setting, from January 2017 to April 2021. All individuals completed the Mood Disorder Questionnaire and psychiatric evaluation by a licensed clinical social worker. Clinical and sociodemographic characteristics were compared between those with and without a clinical diagnosis of bipolar disorder using bivariable analyses. The discriminatory capacity and test characteristics of the Mood Disorder Questionnaire were assessed at each score cutoff using the gold standard of a psychiatric clinical evaluation for comparison.

RESULTS

From January 2017 to April 2021, 1510 birthing people were enrolled in the Collaborative Care Model for Perinatal Depression Support Services and included in this study. Among this group, 62 (4.1%) were diagnosed with bipolar disorder by psychiatric clinical evaluation using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, diagnostic criteria. A score of ≥7 on question 1 is often used in the general population to identify bipolar disorder, which has a 60% sensitivity and 88% specificity in our perinatal sample with an area under the receiver operating characteristic curve of 0.74 (95% confidence interval, 0.72-0.76). Lowering the threshold to ≥4 improves sensitivity to 81% and the discriminatory capacity to an area under the receiver operating characteristic curve of 0.75 (95% confidence interval, 0.70-0.80), at the expense of a reduction in specificity to 69%.

CONCLUSION

The administration of the Mood Disorder Questionnaire in the perinatal period can help to identify which individuals who have screened positive for depression on the Patient Health Questionnaire-9 are at risk of a bipolar or unipolar disorder. In this context, lowering the Mood Disorder Questionnaire score threshold from that used in the nonperinatal population down to 4 improves test characteristics and reduces the risk of a missed diagnosis of bipolar disorder.

Primary Care Clinician Perspectives on Patient Navigation to Improve Postpartum Care for Patients with Low Income

Background

Birthing individuals experience significant physical and psychosocial transitions during the postpartum period. Despite amplified health needs, many individuals do not successfully transition from obstetric to primary care. Patient navigation provides a patient-centered solution that has been applied to other health care specialties resulting in improved care coordination and patient engagement for populations in greatest need. Our objective was to understand primary care clinician perspectives regarding the role of navigators in improving postpartum care for individuals with low income.

Methods

In this qualitative investigation, we conducted focus groups with primary care clinicians from family and internal medicine specialties. Semistructured interview guides addressed clinician perceptions of navigator roles during the postpartum period and recommendations for navigator training. Focus group discussions were digitally recorded, transcribed, and analyzed via a constant comparative method.

Results

Twenty-eight primary care clinicians, including 26 physicians and 2 advanced practice registered nurses, participated in 8 focus groups. Participants reported favorable attitudes toward implementation of a postpartum patient navigation program. Themes regarding useful navigation services included streamlining obstetric to primary care transition, enhancing visit effectiveness, creating personalized postpartum care, and providing patient- and clinician-focused education. Recommendations for navigator training included education on basic medical concerns that are common in the postpartum period, health information privacy and electronic health record use, health care systems, and community resources.

Clinical Trial Registration number: NCT03922334.

Conclusions

Primary care clinicians were highly receptive to the concept of patient navigation as a process to improve health in the postpartum period through enhanced care coordination and improved patient knowledge, engagement, and self-efficacy.

Associations between evening shift work, irregular sleep timing, and gestational diabetes in the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b)

Study Objectives

Shift work is a risk factor for cardiometabolic disease, possibly through effects on sleep-wake rhythms. We hypothesized that evening (afternoon and night combined) and irregular (irregular/on-call or rotating combined) shift work during pregnancy is associated with increased odds of preeclampsia, preterm birth, and gestational diabetes mellitus (GDM), mediated by irregular sleep timing.

Methods

The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b) is a prospective cohort study (n=10,038) designed to investigate risk factors for adverse pregnancy outcomes. Medical outcomes were determined with medical record abstraction and/or questionnaires; sleep midpoint was measured in a subset of participants with ≥5-day wrist actigraphy (ActiWatch). We estimated the association of evening and irregular shift work during pregnancy with preeclampsia, preterm birth, and GDM using logistic regression, adjusted for adversity (cumulative variable for poverty, education, health insurance, and partner status), smoking, self-reported race/ethnicity, and age. Finally, we explored whether the association between shiftwork and GDM was mediated by variability in sleep timing.

Results

Evening shift work is associated with approximately 75% increased odds of developing GDM (adjusted OR=1.75, 95% CI:1.12-2.66); we did not observe associations with irregular shifts, preterm birth, or preeclampsia after adjustment. Pregnant evening shift workers were found to have approximately 45 minutes greater variability in sleep timing compared to day workers (p<0.005); sleep-timing variability explained 25% of the association between evening shift work and GDM in a mediation analysis.

Conclusions

Evening shift work was associated with GDM, and this relationship may be mediated by variability in sleep timing.

Allostatic Load and Adverse Pregnancy Outcomes

OBJECTIVE

To assess the association between allostatic load, as an estimate of chronic stress, and adverse pregnancy outcomes.

METHODS

This was a secondary analysis of nuMoM2b (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be), a prospective observational cohort study. Our primary exposure was dichotomous high allostatic load in the first trimester, defined as 4 or more of 12 biomarkers in the "worst" quartile. The primary outcome was a composite adverse pregnancy outcome: hypertensive disorders of pregnancy (HDP), preterm birth, small for gestational age (SGA), and stillbirth. Secondary outcomes included components of the composite. Multivariable logistic regression was used to test the association between high allostatic load and adverse pregnancy outcomes, adjusted for potential confounders. Mediation and moderation analyses were conducted to assess the role of allostatic load along the causal pathway between racial disparities and adverse pregnancy outcomes.

RESULTS

Among 4,266 individuals, 34.7% had a high allostatic load. Composite adverse pregnancy outcome occurred in 1,171 (27.5%): 14.0% HDP, 8.6% preterm birth (48.0% spontaneous and 52.2% indicated), 11.0% SGA, and 0.3% stillbirth. After adjustment for maternal age, gravidity, smoking, bleeding in the first trimester, and health insurance, high allostatic load was significantly associated with a composite adverse pregnancy outcome (adjusted odds ratio [aOR] 1.5, 95% CI 1.3, 1.7) and HDP (aOR 2.5, 95% CI 2.0-2.9), but not preterm birth or SGA. High allostatic load partially mediated the association between self-reported race and adverse pregnancy outcomes. The association between allostatic load and HDP differed by self-reported race, but not for a composite adverse pregnancy outcome, preterm birth, or SGA.

CONCLUSION

High allostatic load in the first trimester is associated with adverse pregnancy outcomes, particularly HDP. Allostatic load was a partial mediator between race and adverse pregnancy outcomes. The association between allostatic load and HDP differed by self-reported race.

Marijuana use, fetal growth, and uterine artery Dopplers

OBJECTIVE

Marijuana (MJ) use is associated with adverse effects on fetal growth. We aimed to investigate the timing of suboptimal fetal growth onset in MJ-exposed pregnancies. In addition, we aimed to explore the relationship between MJ-exposure and both abnormal uterine artery (UtA) Doppler parameters and small for gestational age (SGA).

STUDY DESIGN

This was a secondary analysis of a prospective multicenter cohort that enrolled nulliparous individuals delivering non-anomalous fetuses beyond 20 weeks' gestation. Marijuana exposure was ascertained by self-report or clinical urine toxicology testing. Ultrasound estimated fetal weights (EFWs) were assessed in participants at both 16w0d-21w6d and 22w0d-29w6d. EFWs and birth weight (BW) were converted to weight percentiles (wPCT). EFW and BW wPCTs were calculated using population-based standards. Additionally, a customized standard designed to be applicable to both EFWs and BWs within the same model was also used to allow for EFW to BW percentile trajectories. The primary outcome, longitudinal wPCT, was compared between individuals with and without MJ use in a linear mixed-effects regression model adjusting for tobacco. For modeling, wPCT was smoothed across gestational age; MJ was estimated as an intercept and linear difference in the slope of gestational age. UtA Doppler notching, resistance index (RI), and pulsatility index (PI) at 16w0d-21w6d were compared using t-test and χ2. SGA at delivery was also compared.

RESULTS

Nine thousand one hundred and sixty-three individuals met inclusion criteria; 136 (1.5%) used MJ during pregnancy. Individuals who used MJ were more likely to be younger, identify as non-Hispanic Black, and have had less education. Fetuses exposed to MJ had lower wPCT beginning at 28 weeks using population-based and customized standards, when compared to those without exposure. UtA notching, PI, and RI were similar between groups. SGA was more frequent in neonates exposed to MJ using both population-based (22 vs. 9%, p<.001) and customized (25 vs. 14%, p<.001) curves.

CONCLUSIONS

MJ-exposed fetuses were estimated to be smaller than unexposed fetuses starting at 28 weeks' gestation across both growth standards without a difference in UtA Doppler parameters.

Prenatal medication use in a prospective pregnancy cohort by pre-pregnancy obesity status

BACKGROUND

The association between obesity (body mass index (BMI) ≥ 30 kg/m2) and pattern of medication use during pregnancy in the United States is not well-studied. Higher pre-pregnancy BMI may be associated with increases or decreases in medication use across pregnancy as symptoms (e.g. reflux) or comorbidities (e.g. gestational diabetes) requiring treatment that may be associated with higher BMI could also change with advancing gestation.

OBJECTIVES

To determine whether prenatal medication use, by the number and types of medications, varies by pre-pregnancy obesity status.

METHODS

In a secondary data analysis of a racially/ethnically diverse prospective cohort of pregnant women with low risk for fetal abnormalities enrolled in the first trimester of pregnancy and followed to delivery (singleton, 12 United States clinical sites), free text medication data were obtained at enrollment and up to five follow-up visits and abstracted from medical records at delivery.

RESULTS

In 436 women with obesity and 1750 women without obesity (pre-pregnancy BMI, 19-29.9 kg/m2), more than 70% of pregnant women (77% of women with and 73% of women without obesity) reported taking at least one medication during pregnancy, respectively (adjusted risk ratio (aRR)=1.10, 95% confidence interval (CI)=1.01, 1.20), with 81% reporting two and 69% reporting three or more. A total of 17 classes of medications were identified. Among medication classes consumed by at least 5% of all women, the only class that differed between women with and without obesity was hormones and synthetic substitutes (including steroids, progesterone, diabetes, and thyroid medications) in which women with obesity took more medications (11 vs. 5%, aRR = 1.9, 95% CI = 1.38, 2.61) compared to women without obesity. Within this class, a higher percentage of women with obesity took diabetes medications (2.3 vs. 0.7%) and progesterone (3.4 vs. 1.3%) than their non-obese counterparts. Similar percentages of women with and without obesity reported consuming medications in the remaining medication classes including central nervous system agents (50 and 46%), gastrointestinal drugs (43 and 40%), anti-infective agents (23 and 21%), antihistamines (20 and 17%), autonomic drugs (10 and 9%), and respiratory tract agents (7 and 6%), respectively (p > 0.05 for all adjusted comparisons). There were no differences in medication use by obesity status across gestation. Since the study exclusion criteria limited the non-obese group to women without thyroid disease, in a sensitivity analysis we excluded all women who reported thyroid medication intake and still a higher proportion of women with obesity took the hormones and synthetic substitutes class compared to women without obesity.

CONCLUSION

Our findings suggest that pre-pregnancy obesity in otherwise healthy women is associated with a higher use of only selected medications (such as diabetes medications and progesterone) during pregnancy, while the intake of other more common medication types such as analgesics, antibiotics, and antacids does not vary by pre-pregnancy obesity status. As medication safety information for prenatal consumption is insufficient for many medications, these findings highlight the need for a more in-depth examination of factors associated with prenatal medication use.

Pregnancy outcomes and anxiety in nulliparous women

OBJECTIVE

To examine pregnancy outcomes in women with treated and untreated anxiety in a well-characterized cohort.

STUDY DESIGN

Secondary analysis of the NuMoM2b study, a prospective multi-center cohort of nulliparous women. Anxiety was assessed at 6 weeks 0 days - 13 weeks 6 days using the State Trait Anxiety Inventory (STAI-T). Women were divided into three groups: anxiety and medical treatment, anxiety and no medical treatment, and no anxiety (controls). The primary outcome was a composite of preterm birth, small for gestational age infant, placental abruption (clinically diagnosed), and hypertensive disorders of pregnancy. Multivariable logistic regression was used to adjust for potential confounding variables.

RESULTS

Among 8293 eligible women, 24% (n = 1983) had anxiety; 311 were treated medically. The composite outcome (preterm birth, small for gestational age infant, placental abruption, hypertensive disorders of pregnancy) occurred more often in women with untreated anxiety than controls (28.6% vs 25.9%, p=.02), with no difference between treated anxiety and controls (27.7% vs 25.9%, p=.49). After adjustment for confounders, including controlling for depression, there were no differences in the primary outcome among groups. Untreated anxiety remained associated with increased odds of neonatal intensive care unit admission.

CONCLUSION

Anxiety occurred in almost a quarter of nulliparas. There was no association between treated or untreated anxiety and our primary outcome of adverse pregnancy outcomes after adjustment for confounders. However, neonates born to women with untreated anxiety were at increased risk for NICU admission.

Developing a predictive model for perinatal morbidity among small for gestational age infants

BACKGROUND

While neonates with birth weight <10th percentile are at increased risk of morbidity and mortality, most of these are constitutionally small and not at increased risk. There are no current strategies that reliably distinguish constitutionally small neonates from small neonates at the highest risk of morbidity, so additional tools for risk stratification are needed.

OBJECTIVE

Our objectives were to identify factors that are independently associated with perinatal morbidity among neonates with birth weight <10th percentile (small for gestational age, SGA) and to create predictive models of perinatal morbidity among SGA neonates based on the timing of information availability.

STUDY DESIGN

This secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be, was a nested case-control study. Participants were prospectively enrolled at eight U.S. centers, with data collection occurring at three standard time points during pregnancy and again after delivery. Our analysis included neonates with birth weights <10th percentile and excluded those with major congenital malformations or suspected or confirmed aneuploidy. The primary outcome was a composite of perinatal morbidity, defined as NICU admission >48 h, NEC, sepsis, RDS, mechanical ventilation, retinopathy of prematurity, seizures, grade 3 or 4 IVH, stillbirth, or death before discharge. Cases were SGA neonates that experienced the primary outcome, and controls were SGA neonates that did not. Maternal factors for potential inclusion in predictive modeling were drawn from a broad list of variables collected as part of the NuMoM2B study, including demographic, anthropometric, clinical, ultrasound, social/behavioral, dietary, and psychological variables. Characteristics that were different in bivariate analysis between cases and controls then underwent further evaluation and refinement. Continuous and multi-category variables were assessed using multiple approaches, including as continuous variables, using standard categories (such as for BMI) as well as empirically-derived cut-points identified by receiver-operating characteristics methodology. The approach for each variable that resulted in the best performance was selected for use in modeling. After variable optimization, multivariable analysis was used to derive prediction models using factors known at mid-pregnancy (Model 1) and delivery (Model 2).

RESULTS

Of the original cohort, 865 were eligible and analyzed, with 134 (15.5%) experiencing the primary outcome. After bivariable and multivariable analysis, these variables were included in Model 1: BMI, stress level, diastolic blood pressure, narcotic use (all in 1st trimester), and uterine artery pulsatility index at 16-21 weeks. Model 2 added the following variables to Model 1: preterm delivery, preeclampsia, and suspected fetal growth restriction. When models 1 and 2 were empirically tested and compared to predicted performance to demonstrate calibration, observed morbidity rates approximately followed expected rates within deciles. Models 1 and 2 had respective areas under the receiver-operating characteristic curve of 0.72 (95% CI 0.67-0.76) and 0.84 (0.80-0.88), to predict the composite morbidity.

CONCLUSION

Using a deeply phenotyped cohort of nulliparous women, we created two models with the moderate-good prediction of perinatal morbidity among SGA neonates.

TRIAL REGISTRATION

clinicaltrials.gov ID: NCT01322529.

Prospective evaluation of placental abruption in nulliparous women

INTRODUCTION

Because most data on placental abruption are derived from retrospective studies, multiple sources of bias may have affected the results. Thus, we aimed to characterize risk factors and outcomes for placental abruption in a large prospective cohort of nulliparous women.

METHODS

This was a secondary analysis of women enrolled in the Nulliparous Pregnancy Outcomes Study Monitoring-to-be (nuMom2b) study, a prospective observational cohort. Participants were recruited in their first trimester of pregnancy from 8 sites and had 4 study visits, including at delivery. Placental abruption was defined by confirmed clinical criteria. The primary analysis was restricted to abruption identified antepartum and intrapartum. As a secondary analysis, we examined antepartum and intrapartum abruptions separately. We compared risk factors (maternal demographic and clinical characteristics) and outcomes in women with and without placental abruption using univariable and multivariable analyses as appropriate.

RESULTS

9450 women were included in the primary analysis. Abruption was identified in 0.66% (n = 62), of which 35 (56%) were antepartum and 27 (44%) intrapartum. For women with abruption, the mean gestational age at delivery was 35.6 ± 4.4 weeks and 38.8 ± 2.2 weeks for women without abruption. Gravidity was associated with abruption (OR 3.1, 95% CI: 1.6-6.0). In univariate analysis, abruption was associated with cesarean delivery (OR 3.7, 95% CI: 2.2-6.0), blood transfusion (OR 3.8, 95% CI: 1.4-10.7), PPROM (OR 9.0, 95% CI: 5.4-15.1), preterm birth (OR 8.5, 95% CI: 5.1-14.2), SGA (OR 4.0, 95% CI: 2.3-6.95), RDS (OR 5.5, 95% CI: 2.6-11.2), IVH 20.2 (OR 20.2, 95% CI: 5.9-68.8) and ROP (OR 12.2, 95% CI: 2.8-52.6). However, after adjustment for confounders including gestational age, abruption was only associated with increased odds of cesarean delivery and blood transfusion. Results were similar when restricted to antepartum and intrapartum abruptions.

CONCLUSION

Abruption was identified in <1% of nulliparous women. However, few maternal risk factors were identified. Neonatal morbidities were associated with an abruption and were primarily driven by gestational age due to preterm birth.

Association of a Mediterranean Diet Pattern With Adverse Pregnancy Outcomes Among US Women

Importance

The Mediterranean diet pattern is inversely associated with the leading causes of morbidity and mortality, including metabolic diseases and cardiovascular disease, but there are limited data on its association with adverse pregnancy outcomes (APOs) among US women.

Objective

To evaluate whether concordance to a Mediterranean diet pattern around the time of conception is associated with lower risk of developing any APO and individual APOs.

Design, Setting, and Participants

This prospective, multicenter, cohort study, the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be, enrolled 10 038 women between October 1, 2010, and September 30, 2013, with a final analytic sample of 7798 racially, ethnically, and geographically diverse women with singleton pregnancies who had complete diet data. Data analyses were completed between June 3, 2021, and April 7, 2022.

Exposures

An Alternate Mediterranean Diet (aMed) score (range, 0-9; low, 0-3; moderate, 4-5; and high, 6-9) was computed from data on habitual diet in the 3 months around conception, assessed using a semiquantitative food frequency questionnaire.

Main Outcomes and Measures

Adverse pregnancy outcomes were prospectively ascertained and defined as developing 1 or more of the following: preeclampsia or eclampsia, gestational hypertension, gestational diabetes, preterm birth, delivery of a small-for-gestational-age infant, or stillbirth.

Results

Of 7798 participants (mean [SD] age, 27.4 [5.5] years), 754 (9.7%) were aged 35 years or older, 816 (10.5%) were non-Hispanic Black, 1294 (16.6%) were Hispanic, and 1522 (19.5%) had obesity at baseline. The mean (SD) aMed score was 4.3 (2.1), and the prevalence of high, moderate, and low concordance to a Mediterranean diet pattern around the time of conception was 30.6% (n=2388), 31.2% (n=2430), and 38.2% (n=2980), respectively. In multivariable models, a high vs low aMed score was associated with 21% lower odds of any APO (adjusted odds ratio [aOR], 0.79 [95% CI, 0.68-0.92]), 28% lower odds of preeclampsia or eclampsia (aOR, 0.72 [95% CI, 0.55-0.93]), and 37% lower odds of gestational diabetes (aOR, 0.63 [95% CI, 0.44-0.90]). There were no differences by race, ethnicity, and prepregnancy body mass index, but associations were stronger among women aged 35 years or older (aOR, 0.54 [95% CI, 0.34-0.84]; P = .02 for interaction). When aMed score quintiles were evaluated, similar associations were observed, with higher scores being inversely associated with the incidence of any APO.

Conclusions and Relevance

This cohort study suggests that greater adherence to a Mediterranean diet pattern is associated with lower risk of APOs, with evidence of a dose-response association. Intervention studies are needed to assess whether dietary modification around the time of conception can reduce risk of APOs and their downstream associations with future development of cardiovascular disease risk factors and overt disease.

Identifying barriers and facilitators of the inclusion of pregnant individuals in hepatitis C treatment programs in the United States

BACKGROUND

The rising prevalence of hepatitis C virus (HCV) infection and the availability of direct acting antivirals for HCV treatment has prompted a public health goal of HCV eradication. Despite the availability of treatment for HCV, treatment programs have generally excluded pregnant individuals. Our objective was to query patients and clinicians to identify barriers to including pregnant individuals in HCV treatment programs.

METHODS AND FINDINGS

This qualitative investigation included obstetricians and previously/currently pregnant individuals with HCV. Participants completed interviews regarding knowledge of and attitudes towards HCV treatment and perceived barriers to treatment during pregnancy. Data were analyzed using the constant comparative method. Obstetricians (N = 18) and patients (N = 21) described concerns about equity, access, and cost. Both expressed uncertainty about safety and confirmed a need for clinician education. Obstetricians emphasized the lack of professional guidelines. Although some clinicians expressed concern about patient adherence and engagement, patients were largely desirous of treatment; both groups identified potential benefits of antenatal treatment.

CONCLUSIONS

Both patients and obstetricians were generally receptive to HCV treatment in pregnancy and recognized pregnancy as an important window of opportunity for treatment. Our findings suggest the need for further research on maternal-fetal safety of HCV treatment as well as on interventions to ensure fair and appropriate access to HCV treatment for pregnant individuals.

Selective Fetoscopic Laser Photocoagulation or Expectant Management for Stage I Twin-Twin Transfusion: A Cost-Effectiveness Analysis

BACKGROUND

Selective fetoscopic laser photocoagulation (SFLP) is the preferred intervention for stage II-IV twin-twin transfusion syndrome (TTTS); however, there is no consensus on whether SFLP or expectant management (EM) is the preferred strategy to manage Quintero stage I TTTS.

OBJECTIVE

The objective of this study is to estimate whether SFLP or EM is the cost-effective strategy for management of Quintero stage I TTTS.

STUDY DESIGN

A decision-analysis (DA) model compared SFLP to EM for 1,000 pregnant people with monochorionic-diamniotic twins affected by stage I TTTS. All subjects were assumed to be appropriate candidates for either SFLP or EM. Probabilities, costs, and utilities were derived from the literature. The DA was conducted from a healthcare payor perspective, and the analytic horizon was over the course of an offspring's lifetime, with primary outcomes of survivorship (i.e., no intrauterine fetal demise or neonatal death) and long-term neurodevelopmental impairment. The model incorporated Markov processes with 4-week cycles throughout pregnancy. Incremental cost-effectiveness ratios (ICER) for each strategy were calculated and compared to estimate marginal cost effectiveness. An ICER of USD 100,000 per quality-adjusted life year was used to define the cost-effectiveness threshold. One-way sensitivity and Monte Carlo analyses (MCA), as well as microsimulations, were performed.

RESULTS

For base-case estimates, SFLP was found to be cost-effective compared to EM in the management of stage I TTTS. In one-way sensitivity analysis, varying each variable along pre-specified ranges did not result in changes in the conclusion. MCA projects SFLP as the cost-effective strategy in 100% of runs.

CONCLUSIONS

With base-case estimates, SFLP is estimated to be the cost-effective strategy for the treatment of Quintero stage I TTTS when compared with EM. This remained true across a wide range of inputs.