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More Options for Prelabor Rupture of Membranes, A Bayesian Analysis

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arxiv 2408.10876 v1 pith:FU4IP52E submitted 2024-08-20 stat.AP cs.LG

classification stat.APcs.LG
keywords usedbayesiancommonlyconfoundingmajormedicationmembranesmisoprostol
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An obstetric goal for a laboring mother is to achieve a vaginal delivery as it reduces the risks inherent in major abdominal surgery (i.e., a Cesarean section). Various medical interventions may be used by a physician to increase the likelihood of this occurring while minimizing maternal and fetal morbidity. However, patients with prelabor rupture of membranes (PROM) have only two commonly used options for cervical ripening, Pitocin and misoprostol. Little research exists on the benefits/risks for these two key drugs for PROM patients. A major limitation with most induction-of-labor related research is the inability to account for differences in \textit{Bishop scores} that are commonly used in obstetrical practice to determine the next induction agent offered to the patient. This creates a confounding factor, which biases the results, but has not been realized in the literature. In this work, we use a Bayesian model of the relationships between the relevant factors, informed by expert physicians, to separate the confounding variable from its actual impact. In doing so, we provide strong evidence that pitocin and buccal misoprostol are equally effective and safe; thus, physicians have more choice in clinical care than previously realized. This is particularly important for developing countries where neither medication may be readily available, and prior guidelines may create an artificial barrier to needed medication.

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    cs.LG 2025-07 conditional novelty 6.0 of 10

    MVMO, a new weighted multi-objective attack, can inflate earnings and lower fraud scores in about 50 to 66 percent of firm-years, versus under 14 percent for standard attacks.

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