贝叶斯分析在重症临床研究中的应用进展

doi:10.3877/cma.j.issn.2096-1537.2023.04.011

中华重症医学电子杂志 ›› 2023, Vol. 09 ›› Issue (04) : 402 -405. doi: 10.3877/cma.j.issn.2096-1537.2023.04.011

所属专题：重症医学；

综述

贝叶斯分析在重症临床研究中的应用进展

陈含冰, 邱海波^†(

)

210009　南京，江苏省重症医学重点实验室　东南大学附属中大医院重症医学科

收稿日期:2022-08-08 出版日期:2023-11-28
通信作者: 邱海波
基金资助:
国家自然科学基金重点项目(81930058); 江苏省重症医学重点实验室项目(BM2020004)

Application of Bayesian analysis in critical care clinical research

Hanbing Chen, Haibo Qiu^†()

Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China

Received:2022-08-08 Published:2023-11-28
Corresponding author: Haibo Qiu

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循证医学时代的到来使得重症临床随机对照研究（RCT）的作用日益显著，然而RCT面临诸多问题与挑战，尤其是近来几项被寄予厚望的大型重症临床RCT出现了阴性结果，却表现出了明显的临床差异，这引发了广泛的争论，而随后的贝叶斯再分析均发现相应的治疗措施确有明显的积极作用。这凸显了贝叶斯分析在重症临床研究中的重要作用。本文就贝叶斯分析在重症临床研究中的应用作一综述。

关键词: 贝叶斯, 重症医学, 随机对照试验

The arrival of the era of evidence-based medicine makes critical care clinical randomized controlled trial (RCT) increase significantly, but RCT faces many problems and challenges, especially when recent several large clinical RCT appeared negative results with obvious clinical differences, causing a wide debate. The subsequent Bayesian reanalysis found that the corresponding treatment measures had obvious positive effect. This highlights the important role of Bayesian analysis in critical care clinical research. This review focuses on the application of Bayesian analysis in critical care clinical research.

Key words: Bayesian, Critical care medicine, Randomized controlled trial

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Application of Bayesian analysis in critical care clinical research

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