A Low-Cost, High-Fidelity Simulator for Transabdominal Chorionic Villus Sampling.

INTRODUCTION: Chorionic villus sampling (CVS) remains essential for first-trimester genetic diagnosis, yet clinical volume may be insufficient to train new clinicians in the technique. Available simulation models are expensive, require animal parts or specialized resins, and cannot be stored for repeated use. METHODS: We present a model for trans-abdominal CVS (TA-CVS) which is constructed from readily available materials costing less than $10 and can be refrigerated and re-used to train maternal-fetal medicine fellows in CVS. RESULTS: All three attending physicians performing TA-CVS at our institution described the model as an accurate visual and tactile simulation, prompting its integration into our fellowship curriculum. To date, two senior fellows have achieved competency on the simulator and begun to perform clinical CVS under supervision, one of whom is an author on this paper. Both fellows and attendings indicated that the simulator provided a valuable tool for repeated practice prior to clinical CVS. Simulators are now maintained on the unit and have been re-used for 3 months and dozens of simulated procedures each without any apparent qualitative degradation in performance. DISCUSSION/CONCLUSION: We describe a low-cost easily constructed, durable, high-fidelity simulator for TA-CVS.

Predicting primary cesarean delivery in pregnancies complicated by gestational diabetes mellitus.

BACKGROUND: Prediction models have shown promise in helping clinicians and patients engage in shared decision-making by providing quantitative estimates of individual risk of important clinical outcomes. Gestational diabetes mellitus is a common complication of pregnancy, which places patients at higher risk of primary CD. Suspected fetal macrosomia diagnosed on prenatal ultrasound is a well-known risk factor for primary CD in patients with gestational diabetes mellitus, but tools incorporating multiple risk factors to provide more accurate CD risk are lacking. Such tools could help facilitate shared decision-making and risk reduction by identifying patients with both high and low chances of intrapartum primary CD. OBJECTIVE: This study aimed to develop and internally validate a multivariable model to estimate the risk of intrapartum primary CD in pregnancies complicated by gestational diabetes mellitus undergoing a trial of labor. STUDY DESIGN: This study identified a cohort of patients with gestational diabetes mellitus derived from a large, National Institutes of Health-funded medical record abstraction study who delivered singleton live-born infants at ≥34 weeks of gestation at a large tertiary care center between January 2002 and March 2013. The exclusion criteria included previous CD, contraindications to vaginal delivery, scheduled primary CD, and known fetal anomalies. Candidate predictors were clinical variables routinely available to a practitioner in the third trimester of pregnancy found to be associated with an increased risk of CD in gestational diabetes mellitus. Stepwise backward elimination was used to build the logistic regression model. The Hosmer-Lemeshow test was used to demonstrate goodness of fit. Model discrimination was evaluated via the concordance index and displayed as the area under the receiver operating characteristic curve. Internal model validation was performed with bootstrapping of the original dataset. Random resampling with replacement was performed for 1000 replications to assess predictive ability. An additional analysis was performed in which the population was stratified by parity to evaluate the model's predictive ability among nulliparous and multiparous individuals. RESULTS: Of the 3570 pregnancies meeting the study criteria, 987 (28%) had a primary CD. Of note, 8 variables were included in the final model, all significantly associated with CD. They included large for gestational age, polyhydramnios, older maternal age, early pregnancy body mass index, first hemoglobin A1C recorded in pregnancy, nulliparity, insulin treatment, and preeclampsia. Model calibration and discrimination were satisfactory with the Hosmer-Lemeshow test (P=.862) and an area under the receiver operating characteristic curve of 0.75 (95% confidence interval, 0.74-0.77). Internal validation demonstrated similar discriminatory ability. Stratification by parity demonstrated that the model worked well among both nulliparous and multiparous patients. CONCLUSION: Using information routinely available in the third trimester of pregnancy, a clinically pragmatic model can predict intrapartum primary CD risk with reasonable reliability in pregnancies complicated by gestational diabetes mellitus and may provide quantitative data to guide patients in understanding their individual primary CD risk based on preexisting and acquired risk factors.

The Impact of Maternal Obesity on Neonatal Outcomes of Pregnancies Complicated by Fetal Growth Restriction.

OBJECTIVE: This study aimed to characterize the relationship between maternal obesity, fetal abdominal size, and neonatal morbidity in pregnancies complicated by fetal growth restriction (FGR). STUDY DESIGN: Pregnancies complicated by FGR, which resulted in delivery of a live, singleton, nonanomalous infant at a single center between 2002 and 2013 were identified in a large, National Institutes of Health-funded database of detailed pregnancy and delivery information extracted by trained research nurses. Pregnancies complicated by diabetes were excluded. Fetal biometry measurements from third trimester ultrasounds performed at the same institution were extracted from another institutional database. Pregnancies were divided into cohorts based on fetal abdominal circumference (AC) gestational age percentile (<10th centile, 10-29th centile, 30-49th centile, and ≥50th centile) at the ultrasound closes to the date of delivery. Obesity was defined by prepregnancy body mass index >30 kg/m2. The primary outcome was a composite of neonatal morbidity (CM) including 5-minute Apgar < 7, arterial cord pH <7.0, sepsis, respiratory support, chest compressions, phototherapy, exchange transfusion, hypoglycemia requiring treatment, or neonatal death. Outcomes were compared between women with versus without prepregnancy obesity overall and then stratified by AC cohort. RESULTS: A total of 379 pregnancies met criteria; CM occurred in 136 (36%). Overall, there was no difference in CM between infants born to women with versus without obesity (risk ratio (RR): 1.11, 95% confidence interval: 0.79-1.56). When stratified according to AC at ultrasound closest to delivery, there was higher prevalence of CM occurring among women with prepregnancy obesity than those without prepregnancy obesity when the fetal AC was >50th or 30 to 49th centile However, these differences did not reach statistical significance. CONCLUSION: Our study identified no significant difference in risk of CM among growth-restricted infants of obese versus nonobese mothers, including among infants with very small AC. More research is needed to further examine the potential relationships postulated here. KEY POINTS: · No significant differences in neonatal outcomes of FGR pregnancies in obese versus nonobese patients.. · No significant differences in AC percentile distribution in FGR pregnancies in obese versus nonobese.. · Pregnancies complicated by obesity had a higher need for cardiac support but not chest compressions..

The AccuFlow sensor: a novel digital health tool to assess intrapartum blood loss at cesarean delivery.

OBJECTIVES: During obstetric hemorrhage, peripheral vasoconstriction maintains heart rate and blood pressure until compensatory mechanisms are overwhelmed and patients deteriorate rapidly. Real-time perfusion measurements could quantify vasoconstriction, improving early recognition of hemorrhage and facilitating early intervention to reduce morbidity and mortality. The AccuFlow device makes rapid, non-invasive, quantitative measurements of perfusion, but has not been studied for hemorrhage detection or used in surgical settings. This study evaluated feasibility, tolerability, and preliminary efficacy of the AccuFlow for assessment of blood loss at cesarean delivery (CD). METHODS: In this pilot study, sensors were applied to the wrist, forearm, bicep, and chest wall of 25 patients undergoing scheduled CD. Postoperatively, sensors were removed and patients rated the AccuFlow and the standard anesthesia monitoring equipment on a validated comfort rating scale for wearable computers (CRS). Blood loss was estimated by the surgical team (EBL) and calculated from change in hematocrit, weight, and height (CBL). CRS scores were compared via Wilcoxon signed ranks tests. Coefficients of correlation between sensor readings and CBL, and between EBL and CBL, were compared using Fisher's R-to-z transformation. RESULTS: There were no safety events; no participants requested device removal. CRS ratings of the AccuFlow and the standard monitoring equipment were similar (7.2 vs. 8.8, p=0.25). Change in wrist perfusion from delivery to dressing placement was more strongly correlated with CBL than was EBL (R=-0.48 vs. R=0.087, p=0.03). CONCLUSIONS: The AccuFlow sensor is well-tolerated and shows promise in detecting intrapartum hemorrhage, though larger studies are needed.

Emerging technology for early detection and management of postpartum hemorrhage to prevent morbidity.

Despite advances in hemorrhage detection and management, postpartum hemorrhage remains the single leading cause of maternal death worldwide. Within the United States, hemorrhage is the leading cause of maternal death on the day of delivery and within the first week after delivery. Blood transfusion after hemorrhage represents a large proportion of severe maternal morbidity during and after delivery. Blood loss during delivery has historically been assessed visually by inspecting soiled pads, linens, and laparotomy sponges. These methods underestimate the volume of blood loss by as much as 40%, becoming increasingly inaccurate as blood loss increases. Young, healthy obstetrical patients compensate for blood loss via peripheral vasoconstriction, maintaining heart rate and blood pressure in a normal range until over 1 L of blood has been lost. A significant decrease in blood pressure along with marked tachycardia (>120 bpm) may not be seen until 30% to 40% of blood volume has been lost, or 2.0 to 2.6 L in a healthy term pregnant patient, after which the patient may rapidly decompensate. In resource-poor settings especially, the narrow window between the emergence of significant vital sign abnormalities and clinical decompensation may prove catastrophic. Once hemorrhage is detected, decisions regarding blood product transfusion are routinely made on the basis of inaccurate estimates of blood loss, placing patients at risk of underresuscitation (increasing the risk of hemorrhagic shock and end-organ damage) or overresuscitation (increasing the risk of transfusion reaction, fluid overload, and alloimmunization). We will review novel technologies that have emerged to assist both in the early and accurate detection of postpartum hemorrhage and in decisions regarding blood product transfusion.

In Defense of Mothers: Why Pregnant and Breastfeeding Women Should Be Included in Mass Drug Administration Programs.

Mass drug administration (MDA) programs are a critical component of efforts to treat and eliminate trachoma, a leading cause of blindness worldwide. Despite the importance of these programs for individual and community health, pregnant and breastfeeding women have historically been excluded from treatment in these programs. Countries with active MDA programs also tend to have high fertility rates, and thus women may be left untreated for years at a time. Not only do these women suffer from the symptoms of disease (pain and eventual blindness), but also failure to include the entire population in drug administration programs leaves pockets of infection in the community, risking outright failure of eradication efforts. The medication used most commonly, azithromycin, appears to be safe for use in pregnancy and breastfeeding. The time has come to include pregnant and breastfeeding women in MDA programs, not just for them, but also for their communities.

Incidence of Gestational Diabetes Diagnosed on the 100-G Glucose Tolerance Test in Pregnancies with a 50-G Glucose Challenge Test Result of 200 mg/dL or Greater.

OBJECTIVE: This study aimed to assess the positive predictive value (PPV) of a 1-hour, 50-g glucose challenge test (GCT) result ≥200 mg/dL for the diagnosis of gestational diabetes mellitus (GDM) on a 3-hour, 100-g glucose tolerance test (GTT). STUDY DESIGN: Pregnancies between 2008 and 2016 with a GCT result ≥200 mg/dL were identified retrospectively. GCT and GTT dates and results, demographics, and working due date (EDD) were extracted. Gestational age at testing was calculated from test date and EDD. As some clinicians presumptively diagnose GDM in such cases, if a GTT result was not available, clinic notes were reviewed to determine whether a GTT was ordered. Positive predictive values (PPV) were calculated at GCT cut-offs at and beyond 200 mg/dL. Subgroups were compared including early GCT (<16 weeks) versus routine GCT (24-28 weeks), GTT result normal versus GTT diagnostic of GDM, and GTT ordered versus GTT not ordered. Rates of use of medication for glycemic control were assessed among these groups. RESULTS: Of 236 pregnant women with a GCT result ≥200 mg/dL, 115 (48%) GTT was ordered for 115 (49%), whereas 123 (52%) were managed as presumed GDM. Of 100 (87%) who completed the test, 81 (81%) were diagnosed with GDM with a median intertest interval of 14 days. No statistically significant differences were found between groups stratified by GTT result. Use of rates of metformin, glyburide, and insulin were similar between those diagnosed with GDM by GTT and those diagnosed with GDM by GCT alone. CONCLUSION: A GCT result of ≥200 mg/dL has a PPV of 81% for diagnosis of GDM by GTT in a contemporary U.S. population, with a median intertest interval of 14 days between GCT and GTT. However, those diagnosed by GCT alone were as likely as those diagnosed by GTT to require medication for glycemic control, including insulin, suggesting that requiring a GTT may result in underdiagnosis and delayed treatment of GDM. KEY POINTS: · A 50-g GCT result of 200 mg/dL or greater has a PPV of 81% for GDM on the 100 g GTT.. · Patients diagnosed with GDM by GCT alone were as likely to require insulin as those diagnosed by GTT.. · 81% of patients diagnosed with GDM on the GTT completed their GTT at least 1 week after the GCT, thus requiring GTT in this population may lead to unnecessary delays in care..