American journal of obstetrics and gynecology
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Am. J. Obstet. Gynecol. · Jun 2020
Prediction of vaginal birth after cesarean deliveries using machine learning.
Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliveries. Complication rates are lowest when a vaginal birth is achieved and highest when an unplanned cesarean delivery is performed, which emphasizes the need to assess, in advance, the likelihood of a successful vaginal birth after cesarean delivery. Vaginal birth after cesarean delivery calculators have been developed in different populations; however, some limitations to their implementation into clinical practice have been described. Machine-learning methods enable investigation of large-scale datasets with input combinations that traditional statistical analysis tools have difficulty processing. ⋯ Trial of labor after cesarean delivery is safe for most parturients. Success rates are high, even in a population with high rates of trial of labor after cesarean delivery. Application of a machine-learning algorithm to assign a personalized risk score for a successful vaginal birth after cesarean delivery may help in decision-making and contribute to a reduction in cesarean delivery rates. Parturient allocation to risk groups may help delivery process management.
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Am. J. Obstet. Gynecol. · Jun 2020
From 2646 to 15: differentially regulated microRNAs between progenitors from normal myometrium and leiomyoma.
Uterine leiomyomas (fibroids) are smooth muscle neoplasms of the myometrial layer of the uterus and are the most common benign tumors in women. Although their etiology is still unclear, progenitor cells seem to be implicated. ⋯ The findings that only 15 of 2646 microRNAs are differentially regulated in normal myometrium and leiomyoma and that they are involved in 7 dysregulated pathways provides interesting insights into the development of uterine fibroids, and lends support to the hypothesis that leiomyoma onset is the result of alterations affecting progenitor cells.