感染性休克
计算生物学
组学
休克(循环)
计算机科学
医学
重症监护医学
生物
生物信息学
败血症
内科学
作者
Zhongheng Zhang,Lin Chen,Bin Sun,Zhanwei Ruan,Pan Pan,Wei-Min Zhang,Xuandong Jiang,Shaojiang Zheng,Shaowen Cheng,Lina Xian,Bingshu Wang,Jie Yang,Haifeng Zhang,Ping Xu,Zhitao Zhong,Lingxia Cheng,Hongying Ni,Yucai Hong
标识
DOI:10.1038/s41467-024-53239-9
摘要
Fluid management remains a critical challenge in the treatment of septic shock, with individualized approaches lacking. This study aims to develop a statistical model based on transcriptomics to identify subgroups of septic shock patients with varied responses to fluid strategy. The study encompasses 494 septic shock patients. A benefit score is derived from the transcriptome space, with higher values indicating greater benefits from restrictive fluid strategy. Adherence to the recommended strategy is associated with a hazard ratio of 0.82 (95% confidence interval: 0.64–0.92). When applied to the baseline hospital mortality rate of 16%, adherence to the recommended fluid strategy could potentially lower this rate to 13%. A proteomic signature comprising six proteins is developed to predict the benefit score, yielding an area under the curve of 0.802 (95% confidence interval: 0.752–0.846) in classifying patients who may benefit from a restrictive strategy. In this work, we develop a proteomic signature with potential utility in guiding fluid strategy for septic shock patients. Fluid management in septic shock lacks personalized approaches, which are critical for improving patient outcomes. Here, the authors show that a proteomic signature can help identify patients who may benefit from a restrictive fluid strategy, potentially reducing hospital mortality rates.
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