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低血压期间的心率变异性作为早产儿短期预后的预测指标

Heart Rate Variability during Periods of Low Blood Pressure as a Predictor of Short-Term Outcome in Preterms.

作者信息

Semenova Oksana, Carra Giorgia, Lightbody Gordon, Boylan Geraldine, Dempsey Eugene, Temko Andriy

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:5614-5517. doi: 10.1109/EMBC.2018.8513600.

Abstract

Efficient management of low blood pressure (BP) in preterm neonates remains challenging with a considerable variability in clinical practice. The ability to assess preterm wellbeing during episodes of low BP will help to decide when and whether hypotension treatment should be initiated. This work aims to investigate the relationship between heart rate variability (HRV), BP and the short-term neurological outcome in preterm infants less than 32 weeks gestational age (GA). The predictive power of common HRV features with respect to the outcome is assessed and shown to improve when HRV is observed during episodes of low mean arterial pressure (MAP) - with a single best feature leading to an AUC of 0.87. Combining multiple features with a boosted decision tree classifier achieves an AUC of 0.97. The work presents a promising step towards the use of multimodal data in building an objective decision support tool for clinical prediction of short-term outcome in preterms who suffer episodes of low BP.

摘要

早产新生儿低血压的有效管理仍然具有挑战性,临床实践中存在相当大的变异性。在低血压发作期间评估早产新生儿健康状况的能力将有助于决定何时以及是否应开始进行低血压治疗。这项研究旨在探讨胎龄小于32周的早产儿的心率变异性(HRV)、血压与短期神经学结局之间的关系。评估了常见HRV特征对结局的预测能力,并表明在平均动脉压(MAP)降低期间观察HRV时预测能力会提高,单一最佳特征的曲线下面积(AUC)为0.87。使用增强决策树分类器结合多个特征可使AUC达到0.97。这项研究朝着利用多模态数据构建客观决策支持工具迈出了有前景的一步,该工具可用于临床预测发生低血压的早产儿的短期结局。

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