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作 者:樊欣 张国英[1] 陈黎[1] 徐志炫 FAN Xin;ZHANG Guoying;CHEN Li;XU Zhixuan(Obstetric Department,First Affiliated Hospital of Nanjing Medical University,Nanjing,Jiangsu 210029,China)
机构地区:[1]南京医科大学第一附属医院产科,江苏南京210029
出 处:《中国优生与遗传杂志》2023年第6期1302-1307,共6页Chinese Journal of Birth Health & Heredity
摘 要:产后出血(PPH)是分娩后的一种并发症,它是孕产妇死亡的主要原因之一。近年来的研究发现,除了临床常见危险因素外,其他一些相关因素也可能导致PPH的发生风险增加。于此,有针对不同人群PPH预测模型的建立,有望对于该疾病做到早期识别并诊断,这些模型也具有良好的应用前景。本研究以此为背景,对产后出血的危险因素及相关预测模型进行综述。Postpartum hemorrhage,one of the major reasons for maternal death,is a serious complication during delivery.With the progress of research,there is increasing evidence that besides the clinically known risk factors,some unknown factors can increase the incidence of postpartum hemorrhage as well.Meanwhile,a series of prediction models concerning postpartum hemorrhage have been built.These models are based on different people,and they have a good application prospect for early detection.In this review,the related risk factors and prediction models of postpartum hemorrhage were discussed.
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