Faculty Bibliography

With the advent of artificial intelligence that not only can learn from us but also can communicate with us in plain language, humans are embarking on a brave new future. The interaction between humans and artificial intelligence has never been so widespread. Chat Generative Pre-trained Transformer is an artificial intelligence resource that has potential uses in the practice of medicine. As clinicians, we have the opportunity to help guide and develop new ways to use this powerful tool. Optimal use of any tool requires a certain level of comfort. This is best achieved by appreciating its power and limitations. Being part of the process is crucial in maximizing its use in our field. This clinical opinion demonstrates the potential uses of Chat Generative Pre-trained Transformer for obstetrician-gynecologists and encourages readers to serve as the driving force behind this resource.

BACKGROUND:Diabetes mellitus is a common medical complication of pregnancy, and its treatment is complex. Recent years have seen an increase in the application of mobile health tools and advanced technologies, such as remote patient monitoring, with the aim of improving care for diabetes mellitus in pregnancy. Previous studies of these technologies for the treatment of diabetes in pregnancy have been small and have not clearly shown clinical benefit with implementation. OBJECTIVE:Remote patient monitoring allows clinicians to monitor patients' health data (such as glucose values) in near real-time, between office visits, to make timely adjustments to care. Our objective was to determine if using remote patient monitoring for the management of diabetes in pregnancy leads to an improvement in maternal and neonatal outcomes. STUDY DESIGN/METHODS:This was a retrospective cohort study of pregnant patients with diabetes mellitus managed by the maternal-fetal medicine practice at one academic institution between October 2019 and April 2021. This practice transitioned from paper-based blood glucose logs to remote patient monitoring in February 2020. Remote patient monitoring options included (1) device integration with Bluetooth glucometers that automatically uploaded measured glucose values to the patient's Epic MyChart application or (2) manual entry in which patients manually logged their glucose readings into their MyChart application. Values in the MyChart application directly transferred to the patient's electronic health record for review and management by clinicians. In total, 533 patients were studied. We compared 173 patients managed with paper logs to 360 patients managed with remote patient monitoring (176 device integration and 184 manual entry). Our primary outcomes were composite maternal morbidity (which included third- and fourth-degree lacerations, chorioamnionitis, postpartum hemorrhage requiring transfusion, postpartum hysterectomy, wound infection or separation, venous thromboembolism, and maternal admission to the intensive care unit) and composite neonatal morbidity (which included umbilical cord pH <7.00, 5 minute Apgar score <7, respiratory morbidity, hyperbilirubinemia, meconium aspiration, intraventricular hemorrhage, necrotizing enterocolitis, sepsis, pneumonia, seizures, hypoxic ischemic encephalopathy, shoulder dystocia, trauma, brain or body cooling, and neonatal intensive care unit admission). Secondary outcomes were measures of glycemic control and the individual components of the primary composite outcomes. We also performed a secondary analysis in which the patients who used the two different remote patient monitoring options (device integration vs manual entry) were compared. Chi-square, Fisher's exact, 2-sample t, and Mann-Whitney tests were used to compare the groups. A result was considered statistically significant at P<.05. RESULTS:Maternal baseline characteristics were not significantly different between the remote patient monitoring and paper groups aside from a slightly higher baseline rate of chronic hypertension in the remote patient monitoring group (6.1% vs 1.2%; P=.011). The primary outcomes of composite maternal and composite neonatal morbidity were not significantly different between the groups. However, remote patient monitoring patients submitted more glucose values (177 vs 146; P=.008), were more likely to achieve glycemic control in target range (79.2% vs 52.0%; P<.0001), and achieved the target range sooner (median, 3.3 vs 4.1 weeks; P=.025) than patients managed with paper logs. This was achieved without increasing in-person visits. Remote patient monitoring patients had lower rates of preeclampsia (5.8% vs 15.0%; P=.0006) and their infants had lower rates of neonatal hypoglycemia in the first 24 hours of life (29.8% vs 51.7%; P<.0001). CONCLUSION/CONCLUSIONS:Remote patient monitoring for the management of diabetes mellitus in pregnancy is superior to a traditional paper-based approach in achieving glycemic control and is associated with improved maternal and neonatal outcomes.

This commentary examines how ChatGPT can assist healthcare teams in the prenatal diagnosis of rare and complex cases by creating a differential diagnoses based on deidentified clinical findings, while also acknowledging its limitations.

Point of care ultrasound (POCUS) is rapidly expanding throughout the United States. Due to its ability to quickly and accurately diagnose and guide therapy for critical conditions, POCUS is becoming routine in many specialties, with established guidelines in fields such as emergency medicine and critical care 1, 2, 3. For example, a study entitled "Ultrasound Integration in Undergraduate Medical Education: Comparison of Ultrasound Proficiency Between Trained and Untrained Medical Students" initiated an Emergency Medicine POCUS curriculum for first-year medical students that showed an increase in ultrasound capability 4. In short, as POCUS becomes more common practice, medical schools are beginning to implement POCUS training into their undergraduate medical education; studies from these institutions demonstrate that implementing a formal ultrasound curriculum into preclinical medical education significantly increases medical students' POCUS capabilities4, 5 and assisted in their understanding and learning of anatomy 6, 7.

Vasa previa (VP) refers to unprotected fetal vessels running through the membranes over the cervix. Rupture of these vessels frequently leads to fetal death. Prenatal diagnosis with ultrasound and scheduled cesarean delivery at about 35-36 weeks is the only effective strategy to ensure good outcomes. Despite prenatal diagnosis and delivery by scheduled cesarean, however, without proper care, it is possible to transect the unprotected fetal vessels at cesarean delivery, leading to significant fetal blood loss, risk for neonatal transfusions and even perinatal death. We present our technique for cesarean delivery of VP in which we intentionally avoid incising the membranes and the fetal vessels. The uterus is carefully incised down to the level of the membranes, which are not incised. After visualizing the fetal vessels traversing the intact membranes through the uterine incision, we either incise the membranes away from the fetal vessels, or deliver the fetus en caul, with intact membranes. We have now successfully used this technique in over 10 cases of VP. We present images of 5 of these cases. Our technique is safe, easily performed, and avoids incising the fetal vessels, ensuring a safe delivery and minimizing risks to the baby.

BACKGROUND:The ability to diagnose preeclampsia clinically is suboptimal. Our objective was to validate a novel multianalyte assay and characterize its performance, when intended for use as an aid to rule-out preeclampsia. METHODS:weeks' with preeclampsia-associated signs and symptoms. Individuals not diagnosed with preeclampsia after baseline evaluation were enrolled in the study cohort, with those who later developed preeclampsia, classified as cases and compared with a negative control group who did not develop preeclampsia. Individuals with assay values at time of enrollment ≥0.0325, determined using a previously developed algorithm, considered at risk. The primary analysis was the time to develop preeclampsia assessed using a multivariate Cox regression model. RESULTS:<0.0001]). The performance metrics for the assay to rule-out preeclampsia within 7 days of enrollment showed a sensitivity 76.4% (67.5%-83.5%), negative predictive value 95.0% (92.8%-96.6%), and negative likelihood ratio 0.46 (0.32-0.65). Assay performance improved if delivery occurred <37 weeks and for individuals enrolled between 28 and 35 weeks. CONCLUSIONS:We confirmed that a novel multianalyte assay was associated with the time to develop preeclampsia and has a moderate sensitivity and negative likelihood ratio but high negative predictive value when assessed as an aid to rule out preeclampsia within 7 days of enrollment. REGISTRATION/BACKGROUND:The study was registered on Clinicaltrials.gov (Identifier NCT02780414).

BACKGROUND:Pregnancy represents a unique challenge for the maternal-fetal immune interface, requiring a balance between immunosuppression, which is essential for the maintenance of a semi-allogeneic fetus, and pro-inflammatory host defense to protect the maternal-fetal interface from invading organisms. Adaptation to repeated inflammatory stimuli (endotoxin tolerance) may be critical in preventing inflammation-induced preterm birth resulting from exaggerated maternal inflammatory responses to mild/moderate infections that are common during pregnancy. However, the exact mechanisms contributing to the maintenance of tolerance to repeated infections are not completely understood. miRNAs play important roles in pregnancy, with several miRNAs implicated in gestational tissue function, as well as in pathologic pregnancy conditions. miRNA-519c, a member of the C19MC cluster, is a human-specific miRNA mainly expressed in the placenta. However, its role in pregnancy is largely unknown. OBJECTIVES/OBJECTIVE:To explore the role of "endotoxin tolerance" failure in the pathogenesis of an exaggerated inflammatory response often seen in inflammation-mediated preterm birth. In this study, we investigated the role of miRNA-519c, a placenta-specific miRNA, as a key regulator of endotoxin tolerance at the maternal-fetal interface. STUDY DESIGN/METHODS:-trimester placentas were treated with LPS. After 24 hours, the conditioned media was collected for analysis, and the placental explants were re-exposed to repeated doses of LPS for 3 days. The supernatant was analyzed for inflammatory markers, presence of extracellular vesicles (EVs) and microRNAs. To study the possible mechanism of action of the microRNAs, we evaluated the phosphodiesterase 3 B (PDE3B) pathway involved in TNF-α production using a miRNAs mimic and PDE3B siRNA transfection. Finally, we analyzed human placental samples from different gestational ages and from women affected by inflammation-associated pregnancies. RESULTS:Our data showed that repeated exposure of the human placenta to endotoxin challenges induced a tolerant phenotype characterized by decreased TNF-α and upregulated IL-10 levels. This reaction was mediated by the placenta-specific miRNA-519c packaged within placental EVs. LPS treatment increased the EVs that were positive for the exosome tetraspanin markers, namely CD9, CD63, and CD81, and secreted primarily by trophoblasts. Primary human trophoblast cells transfected with miR-519c mimic decreased PDE3B. While lack of PDE3B, achieved by siRNA transfection, resulted in a decreased TNF-α production. These data supported the hypothesis that the anti-inflammatory action of miRNA-519c was mediated by a downregulation of the phosphodiesterase 3 B pathway, leading to inhibition of TNF-α production. Furthermore, human placentas from normal and inflammation-associated pregnancies demonstrated that decreased placental miRNA-519c level was linked to infection-induced inflammatory pathologies during pregnancy. CONCLUSION/CONCLUSIONS:We identified miRNA-519c, a human placenta-specific miRNA, as a novel regulator of immune adaptation associated with infection-induced preterm birth at the maternal-fetal interface. Our study can serve as a basis for future experiments to explore the potential use of miRNA-519c as a biomarker for infection-induced preterm birth.