脓毒症预后评估的研究进展
Research Progress in the Prognostic Assessment of Sepsis
DOI: 10.12677/acm.2024.1461737, PDF,   
作者: 姚 宇*, 邢家璇#：山东大学齐鲁医院急诊科，山东 济南
关键词: 脓毒症；预后评估；预测模型；机器学习；Sepsis； Prognostic Assessment； Predictive Modeling； Machine Learning
摘要: 脓毒症是威胁人类健康的急危重症之一，其发病后的死亡率均处于较高水平，早期发现、尽早评估、及时治疗脓毒症可以有效降低这一比例。因此，对脓毒症的早期评估已成为国际共识。目前，有很多临床手段及科学研究在脓毒症的预后评估方面进行了探索，并取得了相应的进展。该文常见的生物标志物、复合临床指标、传统临床评分、基于机器学习构建的临床预测模型等四个方面对脓毒症预后评估进行系统阐述，以期为临床医务工作者提供参考。
Abstract: Sepsis is one of the acute and critical illnesses that threaten human health, and the mortality rate after its onset is at a high level. Early detection, early evaluation, and timely treatment of sepsis can effectively reduce this rate. Therefore, early assessment of sepsis has become an international consensus. Currently, there are many clinical tools and scientific studies exploring the prognostic assessment of sepsis and making progress accordingly. In this article, the common biomarkers, composite clinical indicators, traditional clinical scores, and clinical prediction models constructed based on machine learning are systematically described for the prognostic assessment of sepsis, in order to provide references for clinical medical workers.
文章引用：姚宇, 邢家璇. 脓毒症预后评估的研究进展[J]. 临床医学进展, 2024, 14(6): 1-7. https://doi.org/10.12677/acm.2024.1461737

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