American journal of obstetrics and gynecology
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Am. J. Obstet. Gynecol. · Sep 2020
Black and Hispanic women are less likely than white women to receive guideline-concordant endometrial cancer treatment.
Differences in receipt of guideline-concordant treatment might underlie well-established racial disparities in endometrial cancer mortality. ⋯ Non-Hispanic black and Hispanic women were less likely than non-Hispanic white women to receive guideline-concordant treatment, while Asian/Pacific Islander women more commonly received treatment in line with guidelines. Furthermore, in the overall study population, overall survival was worse among those not receiving guideline-concordant treatment, although low power may have had an impact on the race-stratified models. Future studies should evaluate reasons underlying disparate endometrial cancer treatment.
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Am. J. Obstet. Gynecol. · Sep 2020
Stillbirth is associated with increased risk of long-term maternal renal disease: a nationwide cohort study.
Stillbirth is a devastating adverse pregnancy outcome that may occur without any obvious reason or may occur in the context of fetal growth restriction, preeclampsia, or other obstetric complications. There is increasing evidence that women who experience stillbirths are at greater risk of long-term cardiovascular disease, but little is known about their risk of chronic kidney disease and end-stage renal disease. We conducted the largest study to date to investigate the subsequent risk of maternal chronic kidney disease and end-stage renal disease following stillbirth. ⋯ Women who have a history of stillbirth may be at increased risk of chronic kidney disease and end-stage renal disease compared with women who have only had live births. This association persists independently of preeclampsia, and small for gestational age, maternal smoking, obesity, and medical comorbidities. Further research is required to determine whether affected women would benefit from closer surveillance and follow-up for future renal disease.
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Am. J. Obstet. Gynecol. · Sep 2020
ReviewSpecial ambulatory gynecologic considerations in the era of coronavirus disease 2019 (COVID-19) and implications for future practice.
The coronavirus disease 2019 pandemic has altered medical practice in unprecedented ways. Although much of the emphasis in obstetrics and gynecology to date has been on the as yet uncertain effects of coronavirus disease 2019 in pregnancy and on changes to surgical management, the pandemic has broad implications for ambulatory gynecologic care. In this article, we review important ambulatory gynecologic topics such as safety and mental health, reproductive life planning, sexually transmitted infections, and routine screening for breast and cervical cancer. ⋯ Although routine mammography screening and cervical cancer screening may be safely delayed, we discuss society guideline recommendations for higher-risk populations. There may be an increasing role for patient-collected human papillomavirus self-samples using new cervical cancer screening guidelines that can be expanded considering the pandemic situation. Although the pandemic has strained our healthcare system, it also affords ambulatory clinicians with opportunities to expand care to vulnerable populations in ways that were previously underutilized to improve health equity.
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Am. J. Obstet. Gynecol. · Sep 2020
Practice GuidelineImpact of the ACOG guideline regarding low-dose aspirin for prevention of superimposed preeclampsia in women with chronic hypertension.
Patients with chronic hypertension are at increased risk for superimposed preeclampsia. The 2016 American College of Obstetricians and Gynecologists guideline recommended initiating 81 mg of daily aspirin for all pregnant women with chronic hypertension to prevent superimposed preeclampsia. ⋯ After the adoption of the American College of Obstetricians and Gynecologists guidelines in 70% of the cohort, superimposed preeclampsia, small for gestational age, and preterm birth were not significantly decreased after implementation of aspirin 81 mg initiated between 12 and 16 weeks of gestation.
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Am. J. Obstet. Gynecol. · Sep 2020
Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries.
The process of childbirth is one of the most crucial events in the future health and development of the offspring. The vulnerability of parturients and fetuses during the delivery process led to the development of intrapartum monitoring methods and to the emergence of alternative methods of delivery. However, current monitoring methods fail to accurately discriminate between cases in which intervention is unnecessary, partly contributing to the high rates of cesarean deliveries worldwide. Machine learning methods are applied in various medical fields to create personalized prediction models. These methods are used to analyze abundant, complex data with intricate associations to aid in decision making. Initial attempts to predict vaginal delivery vs cesarean deliveries using machine learning tools did not utilize the vast amount of data recorded during labor. The data recorded during labor represent the dynamic process of labor and therefore may be invaluable for dynamic prediction of vaginal delivery. ⋯ Real-time data acquired throughout the process of labor significantly increased the prediction accuracy for vaginal delivery using machine learning models. These models enable translation and quantification of the data gathered in the delivery unit into a clinical tool that yields a reliable personalized risk score and helps avoid unnecessary interventions.