基于全程产检信息开展严重产后出血风险预测的应用与思考OA北大核心CSTPCD
Application and consideration of risk prediction of severe postpartum hemorrhage based on infor-mation on full obstetric examination
严重产后出血是导致孕产妇器官功能衰竭甚至死亡的首要原因.通过对严重产后出血的早期识别与及时干预等措施可有效避免相关事件的发生.如何合理利用孕期管理中的全程产检信息对严重产后出血发生风险进行预测,以指导临床医生进行精准预防及干预,是目前亟需解决的关键临床问题.文章针对现有临床实践中运用全程产检信息开展严重产后出血风险预测的不同处理方式进行总结,并基于不同的研究目的,厘清科学合理的处理方式,介绍可用的模型构建方法,以期为利用全程产检信息预测严重产后出血提供方法学指导.
Severe postpartum hemorrhage is the leading cause of maternal organ failure and even death.Early identification of severe postpartum hemorrhage and timely intervention can effectively prevent the occur-rence of related events.How to predict the risk of se-vere postpartum hemorrhage by using the information on the full obstetric examination in the management of pregnancy and how to guide clinicians to carry out accurate prevention and intervention is a key clinical problem that needs to be solved immediately.In this paper,we summarize the different ways of predicting the risk of severe postpartum hemorrhage by using the information on the full obstetric examination in existing clinical practice,clarify the scientific and reasonable ways of handling the information based on different research purposes,and introduce the available methods of model construction,aiming to provide methodolog-ical guidance for the prediction of severe postpartum hemorrhage by using the information on the full ob-stetric examination.
魏万强;贾玉龙;刘春容;赵芃;谭婧;刘兴会
四川大学华西医院中国循证医学中心,四川成都 610041||国家药品监督管理局海南真实世界数据研究与评价重点实验室,四川成都 610041||四川省真实世界数据技术创新中心,四川成都 610041四川大学华西第二医院,出生缺陷与相关妇儿疾病教育部重点实验室,四川成都 610041
临床医学
严重产后出血全程产检信息纵向数据预测模型
severe postpartum hemorrhageinforma-tion on full obstetric examinationlongitudinal dataprediction models
《中国实用妇科与产科杂志》 2024 (004)
构建基于真实世界医疗大数据的孕产妇个体化用药获益—风险决策模式
391-396 / 6
国家重点研发计划项目(2021YFC2701503);国家自然科学基金(72174132);厦门市科技局一般科技计划项目(3502Z20224004)
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