Race matters: maternal morbidity in the Military Health System.

BACKGROUND: In the United States, Black women are 3 to 4 times more likely to die from childbirth and have a 2-fold greater risk of maternal morbidity than their White counterparts. This disparity is theorized to be related to differences in access to healthcare or socioeconomic status. Military service members and their dependents are a diverse community and have equal access to healthcare and similar socioeconomic statuses. OBJECTIVE: This study hypothesized that universal access to healthcare, as seen in the military healthcare system, leads to similar rates of maternal morbidity regardless of race or ethnic background. STUDY DESIGN: A retrospective cohort study included data from the inaugural National Perinatal Information Center special report comparing indicators of severe maternal morbidity by race. National Perinatal Information Center data from participating military treatment facilities in the Department of Defense performing more than 1000 deliveries annually from April 1, 2018, to March 31, 2019, were included. Using this convenience data set, Chi-square analyses comparing the percentages of cesarean deliveries, adult intensive care unit admissions, and severe maternal morbidity between Black and White patients were performed. RESULTS: Black women were more likely to deliver via cesarean delivery (31.68% vs 23.58%; P<.0001; odds ratio, 1.5; 95% confidence interval, 1.38-1.63), be admitted to an adult intensive care unit (0.49% vs 0.18%; P=.0026; odds ratio, 2.78; 95% confidence interval, 1.46-5.27), and experience overall severe maternal morbidity (2.66% vs 1.66%; P=.0001; odds ratio, 1.67; 95% confidence interval, 1.3-2.15) even when excluding blood transfusion (0.64% vs 0.32%; P=.0139; odds ratio, 1.99; 95% confidence interval, 1.17-3.36) than their White counterparts. There were no substantial differences between races in overall severe maternal morbidity associated with postpartum hemorrhage even when excluding blood transfusion in this subset. CONCLUSION: Equal access to healthcare and similar socioeconomic statuses in the military healthcare system do not explain the healthcare disparities seen regarding maternal morbidity encountered by Black women having children in the United States. This study identifies healthcare disparities in severe maternal morbidity among active duty service members and their families. Further studies to assess causes such as systemic racism (including implicit and explicit medical biases) and physiological factors are warranted.

Depression Screening During Pregnancy: Compliance and Effectiveness in a Military Population.

INTRODUCTION: Perinatal and postpartum depression are common, affecting 13% to 24% of pregnant women through the first year postpartum. Depression screening is recommended by the American College of Obstetrics and Gynecology as an effective and low-cost intervention to improve patient outcomes; however, no nationwide screening rate is reported in the literature. This study was designed to assess the rate and effectiveness of screening in a major military medical center. MATERIALS AND METHODS: Institutional review board (IRB) approval was obtained before beginning the study. The facility where this study was performed has a universal depression screening policy in which all patients should be screened using the Edinburgh Postnatal Depression Scale (EPDS) at the initial obstetric visit, the 28-week visit, and the postpartum visit. The EPDS scores and demographic data were collected by chart review of patients seen between May 2015 and April 2017. RESULTS: Ninety-six percent of patients completed EPDS at their first appointment with a mean score of 3.8. At 28 weeks, 60% of patients were screened with a mean score of 3.8, and at the postpartum appointment, 84% were screened with a mean score of 3.5. Veterans Affairs (VA) patients and dependent daughters had significantly higher EPDS scores than active duty women and dependent wives (mean 7.91, 5.78, 3.19, 3.70, P < .0001). Eight-eight percent of patients with scores of ≥12 were offered the appropriate treatment. CONCLUSIONS: First trimester screening rates are excellent; however, 28-week and postpartum screening rates need improvement. Standardization of clinic screening procedures may be necessary to increase the screening rates. Veterans Affairs patients and dependent daughters have a higher-than-average risk for depression and should be monitored closely. This study demonstrates that a universal postpartum depression screening program is an important part of obstetric care.

Spontaneous Ovarian Hyperstimulation Syndrome in a Partial Molar Pregnancy With Early Onset Severe Pre-eclampsia at 15 Weeks Gestation.

Ovarian hyperstimulation syndrome is a well-known entity in assisted reproductive technology. However, it is unusual for this entity to occur without any medications that stimulate follicle stimulating hormone. Herein, we describe a case where a partial molar pregnancy with high human chorionic gonadotropin promiscuously activated follicle stimulating hormone receptors has resulted in spontaneous ovarian hyperstimulation syndrome. There are only eight other cases documented per our literature search of ovarian hyperstimulation syndrome in molar gestations, and this is the third report in partial molar gestation. In our case, it is an unique development of severe early onset pre-eclampsia in the second trimester. Our goal is to discuss the nuances in management of this entity as well as to add the available body of research on this subject.

A comparison of ultrasound with magnetic resonance imaging in the assessment of fetal biometry and weight in the second trimester of pregnancy: An observer agreement and variability study.

OBJECTIVE: To compare the intra and interobserver variability of ultrasound and magnetic resonance imaging in the assessment of common fetal biometry and estimated fetal weight in the second trimester. METHODS: Retrospective measurements on preselected image planes were performed independently by two pairs of observers for contemporaneous ultrasound and magnetic resonance imaging studies of the same fetus. Four common fetal measurements (biparietal diameter, head circumference, abdominal circumference and femur length) and an estimated fetal weight were analysed for 44 'low risk' cases. Comparisons included, intra-class correlation coefficients, systematic error in the mean differences and the random error. RESULTS: The ultrasound inter- and intraobserver agreements for ultrasound were good, except intraobserver abdominal circumference (intra-class correlation coefficient = 0.880, poor), significant increases in error was seen with larger abdominal circumference sizes. Magnetic resonance imaging produced good/excellent intraobserver agreement with higher intra-class correlation coefficients than ultrasound. Good interobserver agreement was found for both modalities except for the biparietal diameter (magnetic resonance imaging intra-class correlation coefficient = 0.942, moderate). Systematic errors between modalities were seen for the biparietal diameter, femur length and estimated fetal weight (mean percentage error = +2.5%, -5.4% and -8.7%, respectively, p < 0.05). Random error was above 5% for ultrasound intraobserver abdominal circumference, femur length and estimated fetal weight and magnetic resonance imaging interobserver biparietal diameter, abdominal circumference, femur length and estimated fetal weight (magnetic resonance imaging estimated fetal weight error >10%). CONCLUSION: Ultrasound remains the modality of choice when estimating fetal weight, however with increasing application of fetal magnetic resonance imaging a method of assessing fetal weight is desirable. Both methods are subject to random error and operator dependence. Assessment of calliper placement variations may be an objective method detecting larger than expected errors in fetal measurements.

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.

Identifying and interpreting fetal standard scan planes during 2-D ultrasound mid-pregnancy examinations are highly complex tasks, which require years of training. Apart from guiding the probe to the correct location, it can be equally difficult for a non-expert to identify relevant structures within the image. Automatic image processing can provide tools to help experienced as well as inexperienced operators with these tasks. In this paper, we propose a novel method based on convolutional neural networks, which can automatically detect 13 fetal standard views in freehand 2-D ultrasound data as well as provide a localization of the fetal structures via a bounding box. An important contribution is that the network learns to localize the target anatomy using weak supervision based on image-level labels only. The network architecture is designed to operate in real-time while providing optimal output for the localization task. We present results for real-time annotation, retrospective frame retrieval from saved videos, and localization on a very large and challenging dataset consisting of images and video recordings of full clinical anomaly screenings. We found that the proposed method achieved an average F1-score of 0.798 in a realistic classification experiment modeling real-time detection, and obtained a 90.09% accuracy for retrospective frame retrieval. Moreover, an accuracy of 77.8% was achieved on the localization task.