Multiethnic growth standards for fetal body composition and organ volumes derived from 3D ultrasonography.

BACKGROUND: A major goal of contemporary obstetrical practice is to optimize fetal growth and development throughout pregnancy. To date, fetal growth during prenatal care is assessed by performing ultrasonographic measurement of 2-dimensional fetal biometry to calculate an estimated fetal weight. Our group previously established 2-dimensional fetal growth standards using sonographic data from a large cohort with multiple sonograms. A separate objective of that investigation involved the collection of fetal volumes from the same cohort. OBJECTIVE: The Fetal 3D Study was designed to establish standards for fetal soft tissue and organ volume measurements by 3-dimensional ultrasonography and compare growth trajectories with conventional 2-dimensional measures where applicable. STUDY DESIGN: The National Institute of Child Health and Human Development Fetal 3D Study included research-quality images of singletons collected in a prospective, racially and ethnically diverse, low-risk cohort of pregnant individuals at 12 U.S. sites, with up to 5 scans per fetus (N=1730 fetuses). Abdominal subcutaneous tissue thickness was measured from 2-dimensional images and fetal limb soft tissue parameters extracted from 3-dimensional multiplanar views. Cerebellar, lung, liver, and kidney volumes were measured using virtual organ computer aided analysis. Fractional arm and thigh total volumes, and fractional lean limb volumes were measured, with fractional limb fat volume calculated by subtracting lean from total. For each measure, weighted curves (fifth, 50th, 95th percentiles) were derived from 15 to 41 weeks' using linear mixed models for repeated measures with cubic splines. RESULTS: Subcutaneous thickness of the abdomen, arm, and thigh increased linearly, with slight acceleration around 27 to 29 weeks. Fractional volumes of the arm, thigh, and lean limb volumes increased along a quadratic curvature, with acceleration around 29 to 30 weeks. In contrast, growth patterns for 2-dimensional humerus and femur lengths demonstrated a logarithmic shape, with fastest growth in the second trimester. The mid-arm area curve was similar in shape to fractional arm volume, with an acceleration around 30 weeks, whereas the curve for the lean arm area was more gradual. The abdominal area curve was similar to the mid-arm area curve with an acceleration around 29 weeks. The mid-thigh and lean area curves differed from the arm areas by exhibiting a deceleration at 39 weeks. The growth curves for the mid-arm and thigh circumferences were more linear. Cerebellar 2-dimensional diameter increased linearly, whereas cerebellar 3-dimensional volume growth gradually accelerated until 32 weeks followed by a more linear growth. Lung, kidney, and liver volumes all demonstrated gradual early growth followed by a linear acceleration beginning at 25 weeks for lungs, 26 to 27 weeks for kidneys, and 29 weeks for liver. CONCLUSION: Growth patterns and timing of maximal growth for 3-dimensional lean and fat measures, limb and organ volumes differed from patterns revealed by traditional 2-dimensional growth measures, suggesting these parameters reflect unique facets of fetal growth. Growth in these three-dimensional measures may be altered by genetic, nutritional, metabolic, or environmental influences and pregnancy complications, in ways not identifiable using corresponding 2-dimensional measures. Further investigation into the relationships of these 3-dimensional standards to abnormal fetal growth, adverse perinatal outcomes, and health status in postnatal life is warranted.

Reducing decisional conflict in decisions about prenatal genetic testing: the impact of a dyadic intervention at the start of prenatal care.

OBJECTIVES: Decisional conflict and regret about prenatal genetic screening and diagnostic tests may have important consequences in the current pregnancy and for future reproductive decisions. Identifying mechanisms that reduce conflict associated with the decision to use or decline these options is necessary for optimal patient counseling. METHODS: We conducted a cluster-randomized controlled trial of a shared decision-making tool (NEST) at the beginning of prenatal care. Enrolled patients completed follow-up surveys at the time of testing (QTT) and in the second-third trimester (QFF), including the Decision Conflict Scale (DCS). Total DCS scores were analyzed using a multivariate linear mixed-effect model. RESULTS: Of the total number of participants (n=502) enrolled, 449 completed the QTT and QFF surveys. The mean age of participants was 31.6±3.8, with most parous at the time of study participation (n=321; 71.7 %). Both the NEST (the intervention) and control groups had lower median total DCS scores at QFF (NEST 13.3 [1.7, 25.0] vs. control 16.7 [1.7, 25.0]; p=0.24) compared to QTT (NEST 20.8 [5.0, 25.0] vs. control 18.3 [3.3, 26.7]; p=0.89). Participants exposed to NEST had lower decisional conflict at QFF compared to control (ß -3.889; [CI -7.341, -0.437]; p=0.027). CONCLUSIONS: Using a shared decision-making tool at the start of prenatal care decreased decisional conflict regarding prenatal genetic testing. Such interventions have the potential to provide an important form of decision-making support for patients facing the unique type of complex and preference-based choices about the use of prenatal genetic tests.

Fetal and Maternal Factors Predictive of Primary Cesarean Delivery at Term in a Low-Risk Population: NICHD Fetal Growth Studies-Singletons.

OBJECTIVE: This study aimed to examine associations of fetal biometric and amniotic fluid measures with intrapartum primary cesarean delivery (PCD) and develop prediction models for PCD based on ultrasound parameters and maternal factors. STUDY DESIGN: Secondary analysis of the National Institute of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-singleton cohort (2009-2013) including patients with uncomplicated pregnancies and intent to deliver vaginally at ≥370/7 weeks. The estimated fetal weight, individual biometric parameters, fetal asymmetry measurements, and amniotic fluid single deepest vertical pocket assessed at the final scan (mean 37.5 ± 1.9 weeks) were categorized as <10th, 10th to 90th (reference), and >90th percentiles. Logistic regression analyses examined the association between the ultrasound measures and PCD. Fetal and maternal SuperLearner prediction algorithms were constructed for the full and nulliparous cohorts. RESULTS: Of the 1,668 patients analyzed, 249 (14.9%) had PCD. The fetal head circumference, occipital-frontal diameter, and transverse abdominal diameter >90th percentile (adjusted odds ratio [aOR] = 2.50, 95% confidence interval [95% CI]: 1.39, 4.51; aOR = 1.86, 95% CI: 1.02, 3.40; and aOR = 2.13, 95% CI: 1.16, 3.89, respectively) were associated with PCD. The fetal model demonstrated poor ability to predict PCD in the full cohort and in nulliparous patients (area under the receiver-operating characteristic curve [AUC] = 0.56, 95% CI: 0.52, 0.61; and AUC = 0.54, 95% CI: 0.49, 0.60, respectively). Conversely, the maternal model had better predictive capability overall (AUC = 0.79, 95% CI: 0.75, 0.82) and in the nulliparous subgroup (AUC = 0.72, 95% CI: 0.67, 0.77). Models combining maternal/fetal factors performed similarly to the maternal model (AUC = 0.78, 95% CI: 0.75, 0.82 in full cohort, and AUC = 0.71, 95% CI: 0.66, 0.76 in nulliparas). CONCLUSION: Although a few fetal biometric parameters were associated with PCD, the fetal prediction model had low performance. In contrast, the maternal model had a fair-to-good ability to predict PCD. KEY POINTS: · Fetal HC >90th percentile was associated with cesarean delivery.. · Fetal parameters did not effectively predict PCD.. · Maternal factors were more predictive of PCD.. · Maternal/fetal and maternal models performed similarly.. · Prediction models had lower performance in nulliparas..

Identifying Strategies to Improve Shared Decision Making for Pregnant Patients' Decisions about Prenatal Genetic Screens and Diagnostic Tests.

PURPOSE: Prenatal genetic screens and diagnostic tests are vital components of prenatal care. The first prenatal visit is a critical time in the decision-making process when patients decide whether to use these tests in addition to address a series of other essential prenatal care aspects. We conducted this study to examine the role of a shared decision-making (SDM) instrument to support these discussions. METHODS: We conducted a cluster randomized controlled trial of patients allocated to an SDM tool or usual care at their first prenatal visit. Participants completed a baseline survey to measure decision-making needs and preferences. Direct observation was conducted and analyzed using the OPTION scale to measure SDM during prenatal genetic testing discussions. RESULTS: Levels of SDM were similar across groups (P = 0.081). The highest levels of SDM were observed during screening test discussions (NEST 2.4 ± 0.9 v. control 2.6 ± 1.0). Lowest levels were observed in discussions about patients' preference for risk versus diagnostic information (NEST 1.0 ± 1.1 v. control 1.2 ± 1.3). CONCLUSION: Study findings demonstrate the need for targeted patient-focused and provider-focused efforts to improve SDM to enhance patients' informed decision making about these options. Importantly, patients' baseline knowledge and attitudes need to be considered given that patients with less knowledge may need more carefully crafted communication. HIGHLIGHTS: Choices about whether, when, and how to use prenatal genetic tests are highly preference-based decisions, with patients' baseline attitudes about these options as a major driver in health care discussions.The decision-making process is also shaped by patient preferences regarding a shared or informed decision-making process for medical decisions that are highly personal and have significant ramifications for obstetric outcomes.There is a need to develop targeted efforts to improve decision making and enhance patients' ability to make informed decisions about prenatal genetic tests in early pregnancy.

Pregnancy Outcomes in Patients With Hepatitis C Virus Infection.

OBJECTIVE: To evaluate the risks of adverse maternal and neonatal outcomes associated with pregnancies complicated by hepatitis C virus (HCV) infection. METHODS: This is a secondary analysis of a multicenter prospective cohort study of HCV infection in pregnancy. Participants were screened for HCV infection with serum antibody tests, and each participant with a positive HCV result (case group) was matched with up to two individuals with negative HCV results (control group) prospectively by gestational age (±2 weeks) at enrollment. Maternal outcomes included gestational diabetes, abruption, preeclampsia or gestational hypertension, cholestasis, and preterm delivery. Neonatal outcomes included hyperbilirubinemia, admission to neonatal intensive care (NICU); small-for-gestational-age (SGA) birth weight; and neonatal infection, defined as sepsis or pneumonia. Models were adjusted for maternal age, body mass index, injection drug use, and maternal medical comorbidities. RESULTS: The 249 individuals in the case group were prospectively matched to 486 individuals in the control group who met eligibility criteria. There were significant differences in demographic characteristics between the groups, including race, socioeconomic markers, education, insurance status, and drug and tobacco use. The frequencies of maternal outcomes of gestational diabetes, preeclampsia, and abruption were similar between the case and control groups. Preterm birth was similar between groups, but neonates born to individuals in the case group were more likely to be admitted to the NICU (45.1% vs 19.0%, adjusted odds ratio [aOR] 2.6, 95% CI, 1.8-3.8) and to have SGA birth weights below the 5th percentile (10.6% vs 3.1%, aOR 2.9, 95% CI, 1.4-6.0). There were no increased odds of hyperbilirubinemia or neonatal infection. CONCLUSION: Despite no increased odds of preterm birth or other adverse maternal outcomes in adjusted analyses, maternal HCV infection was associated with twofold increased odds of NICU admission and nearly threefold increased odds of SGA birth weight below the 5th percentile.

Breastfeeding Initiation, Duration, and Associated Factors Among People With Hepatitis C Virus Infection.

OBJECTIVE: To characterize breastfeeding behaviors and identify factors associated with breastfeeding initiation among people with hepatitis C virus (HCV) infection. METHODS: We conducted a secondary analysis of a multicenter observational cohort of pregnant people with singleton gestations and HCV seropositivity. This analysis includes individuals with data on breastfeeding initiation and excludes those with human immunodeficiency virus (HIV) co-infection. The primary outcome was self-reported initiation of breastfeeding or provision of expressed breast milk. Secondary outcomes included duration of breastfeeding. Demographic and obstetric characteristics were compared between those who initiated breastfeeding and those who did not to identify associated factors. Univariable and multivariable analyses were performed. RESULTS: Overall, 579 individuals (75.0% of participants in the parent study) were included. Of those, 362 (62.5%) initiated breastfeeding or provided breast milk to their infants, with a median duration of breastfeeding of 1.4 months (interquartile range 0.5-6.0). People with HCV viremia , defined as a detectable viral load at any point during pregnancy, were less likely to initiate breastfeeding than those who had an undetectable viral load (59.4 vs 71.9%, adjusted odds ratio [aOR] 0.61, 95% CI, 0.41-0.92). People with private insurance were more likely to initiate breastfeeding compared with those with public insurance or no insurance (80.0 vs 60.1%; aOR 2.43, 95% CI, 1.31-4.50). CONCLUSION: Although HCV seropositivity is not a contraindication to breastfeeding regardless of viral load, rates of breastfeeding initiation were lower among people with HCV viremia than among those with an undetectable viral load. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov , NCT01959321 .