影像科学与光化学 ›› 2023, Vol. 41 ›› Issue (6): 300-306.DOI: 10.7517/issn.1674-0475.230607

• 综述与论文 • 上一篇    下一篇

基于超声脑血流参数探讨动脉导管未闭儿童发生脑损伤的因素

吕霞1, 段燕妮1, 张萌萌1, 马丽琼2   

  1. 1. 都江堰市妇幼保健院超声科, 四川 成都 611830;
    2. 四川省妇幼保健院超声科, 四川 成都 610045
  • 收稿日期:2023-06-30 出版日期:2023-11-23 发布日期:2023-12-14
  • 通讯作者: 马丽琼

Investigation the Factors of Brain Injury in Children with Patent Ductus Arteriosus Based on Ultrasound Cerebral Blood Flow Parameters

LV Xia1, DUAN Yanni1, ZHANG Mengmeng1, MA Liqiong2   

  1. 1. Department of Ultrasound, Maternal and Child Health Care Hospital of Dujiangyan, Chengdu 611830, Sichuan, P. R. China;
    2. Department of Ultrasound, Sichuan Maternal and Child Health Hospital, Chengdu 610045, Sichuan, P. R. China
  • Received:2023-06-30 Online:2023-11-23 Published:2023-12-14

摘要: 本文基于超声脑血流参数探讨动脉导管未闭(PDA)儿童发生脑损伤的因素。将207例PDA早产儿作为研究对象,将其分为无脑损伤组(148例)和脑损伤组(59例)。对比两组研究对象的临床资料及脑血流参数,分析可能造成脑损伤的危险因素;分析临床指标与脑血流参数联合预测脑损伤发生的效能,构建列线图模型并对其进行验证。结果显示出生体重、绒毛膜羊膜炎、出生5 min的Apgar评分、大脑中动脉阻力指数(RI)以及大脑前动脉RI均为导致PDA早产儿发生脑损伤的影响因素(OR值>1,P<0.05)。列线图预测模型具有良好的区分度、准确度和有效性;脑血流参数与临床指标结合预测脑损伤的诊断效能更高。

关键词: 多普勒, 动脉导管未闭, 脑血流参数, 脑损伤

Abstract: This article explores the factors leading to brain injury in children with patent ductus arteriosus (PDA) based on ultrasound cerebral blood flow parameters. 207 premature infants with PDA were divided into a non brain injury group (148 cases) and a brain injury group (59 cases) as the study subjects. Compare the clinical data and cerebral blood flow parameters of two groups of research subjects, and analyze the risk factors that may cause brain injury. The efficacy of combining clinical indicators and cerebral blood flow parameters in predicting the occurrence of brain injury. Build a column chart model and validate it. The results showed that birth weight, chorioamnionitis, 5-minute Apgar score, middle cerebral artery resistance index (RI), and anterior cerebral artery RI were all influencing factors for the occurrence of brain injury in premature infants with PDA (OR>1, P<0.05). The column chart prediction model has good discrimination, accuracy, and effectiveness. The combination of cerebral blood flow parameters and clinical indicators has higher diagnostic efficacy in predicting brain injury.

Key words: doppler, patent ductus arteriosus, cerebral blood flow parameters, brain injury