脓毒性休克患者的血压反应指数和临床预后:一项多中心队列研究。

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
EBioMedicine Pub Date : 2024-08-01 Epub Date: 2024-07-25 DOI:10.1016/j.ebiom.2024.105257
Yujie Chen, Huizhen Jiang, Yuna Wei, Yehan Qiu, Longxiang Su, Jieqing Chen, Xin Ding, Lu Wang, Dandan Ma, Feng Zhang, Wen Zhu, Xiaoyang Meng, Guoqiang Sun, Lian Ma, Yao Wang, Linfeng Li, Guiren Ruan, Fuping Guo, Ting Shu, Xiang Zhou, Bin Du
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引用次数: 0

摘要

背景:脓毒症是重症监护病房的主要死亡原因,血管活性药物被广泛用于脓毒症患者。脓毒症休克患者在复苏治疗期间的心血管反应以及心血管反应与临床预后的关系尚未得到明确描述:我们纳入了北京协和医院(内部)、重症医学信息中心(MIMIC-IV)和 eICU 协作研究数据库(eICU-CRD)中收治的脓毒症重症监护室成人患者。血压反应指数(BPRI)定义为平均动脉压与血管活性-肌张力评分之间的比率。BRRI 与现有的预测院内死亡的风险评分进行了比较。计算了 BPRI 与住院死亡率之间的关系。XGBoost机器学习模型确定了影响BPRI短期变化的特征:内部、MIMIC-IV 和 eICU-CRD 队列中分别有 2139、9455 和 4202 名患者。与 SOFA(0.78 vs. 0.73,p = 0.01)和 APS(0.78 vs. 0.74,p = 0.03)相比,BPRI 预测院内死亡率的 AUROC 更高。在内部队列中,当 BPRI 低于 7.1 时,BPRI 每下降一个单位的估计死亡几率比为 1.32(95% CI 1.20-1.45),而当 BPRI 高于 7.1 时,死亡几率比为 0.99(95% CI 0.97-1.01);在 MIMIC-IV 和 eICU-CRD 中也发现了类似的关系。呼吸支持和最近 12 小时累积液体平衡是影响 BPRI 的干预相关特征:BPRI是脓毒性休克患者对血管活性药物反应的一个简单、快速、精确的指标。与脓毒症患者的 SOFA 和 APS 相比,BPRI 可以预测甚至更好地预测预后,而且使用起来更简单、更方便。BPRI的应用可以帮助临床医生识别潜在的高危患者,并为治疗提供线索:经费来源:北京市自然科学基金、国家高水平医院临床研究基金、中国医学科学院CAMS医学科学创新基金、国家科技部国家重点研发计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blood pressure response index and clinical outcomes in patients with septic shock: a multicenter cohort study.

Background: Sepsis is a leading cause of mortality in intensive care units and vasoactive drugs are widely used in septic patients. The cardiovascular response of septic shock patients during resuscitation therapies and the relationship of the cardiovascular response and clinical outcome has not been clearly described.

Methods: We included adult patients admitted to the ICU with sepsis from Peking Union Medical College Hospital (internal), Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU Collaborative Research Database (eICU-CRD). The Blood Pressure Response Index (BPRI) was defined as the ratio between the mean arterial pressure and the vasoactive-inotropic score. BRRI was compared with existing risk scores on predicting in-hospital death. The relationship between BPRI and in-hospital mortality was calculated. A XGBoost's machine learning model identified the features that influence short-term changes in BPRI.

Findings: There were 2139, 9455, and 4202 patients in the internal, MIMIC-IV and eICU-CRD cohorts, respectively. BPRI had a better AUROC for predicting in-hospital mortality than SOFA (0.78 vs. 0.73, p = 0.01) and APS (0.78 vs. 0.74, p = 0.03) in the internal cohort. The estimated odds ratio for death per unit decrease in BPRI was 1.32 (95% CI 1.20-1.45) when BPRI was below 7.1 vs. 0.99 (95% CI 0.97-1.01) when BPRI was above 7.1 in the internal cohort; similar relationships were found in MIMIC-IV and eICU-CRD. Respiratory support and latest cumulative 12-h fluid balance were intervention-related features influencing BPRI.

Interpretation: BPRI is an easy, rapid, precise indicator of the response of patients with septic shock to vasoactive drugs. It is a comparable and even better predictor of prognosis than SOFA and APS in sepsis and it is simpler and more convenient in use. The application of BPRI could help clinicians identify potentially at-risk patients and provide clues for treatment.

Funding: Fundings for the Beijing Municipal Natural Science Foundation; the National High Level Hospital Clinical Research Funding; the CAMS Innovation Fund for Medical Sciences (CIFMS) from Chinese Academy of Medical Sciences and the National Key R&D Program of China, Ministry of Science and Technology of the People's Republic of China.

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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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