Risk assessment tools to predict postpartum hemorrhage

IF 4.7 3区 医学 Q1 ANESTHESIOLOGY
Holly B. Ende MD (Assistant Professor of Anesthesiology)
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引用次数: 0

Abstract

Postpartum hemorrhage (PPH) is a leading cause of maternal morbidity and mortality, and accurate risk assessments may allow providers to anticipate and prevent serious hemorrhage-related adverse events. Multiple category-based tools have been developed by national societies through expert consensus, and these tools assign low, medium, or high risk of hemorrhage based on a review of each patient's risk factors. Validation studies of these tools show varying performance, with a wide range of positive and negative predictive values. Risk prediction models for PPH have been developed and studied, and these models offer the advantage of more nuanced and individualized prediction. However, there are no published studies demonstrating external validation or successful clinical use of such models. Future work should include refinement of these models, study of best practices for implementation, and ultimately linkage of prediction to improved patient outcomes.

预测产后出血的风险评估工具
产后出血(PPH)是产妇发病和死亡的主要原因,准确的风险评估可以让提供者预测和预防严重的出血相关不良事件。通过专家共识,国家学会开发了多种基于分类的工具,这些工具根据对每位患者风险因素的审查来分配低、中或高风险的出血。这些工具的验证研究显示出不同的性能,具有广泛的正面和负面预测值。PPH的风险预测模型已经被开发和研究,这些模型提供了更细致和个性化的预测的优势。然而,没有发表的研究证明外部验证或成功的临床使用这些模型。未来的工作应包括改进这些模型,研究实施的最佳实践,并最终将预测与改善患者预后联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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36 days
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