指导脓毒症和感染性休克患者复苏的液体反应性动态测量:系统回顾和荟萃分析。

IF 2.7 Q4 Medicine
Critical care explorations Pub Date : 2025-09-15 eCollection Date: 2025-09-01 DOI:10.1097/CCE.0000000000001303
Jocelyn Wang, Leann Marie Blake, Nicolas Orozco, Kyle Fiorini, Chris McChesney, Marat Slessarev, Ross Prager, Aleksandra Leligdowicz, Sameer Sharif, Kimberley Lewis, Bram Rochwerg, Kimia Honarmand, Ian M Ball, Robert Arntfield, Michelle Wong, Diyaa Bokhary, Ahmad Bafaraj, Logan Van Nynatten, Henri Fero, Evan Russell, John Basmaji
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引用次数: 0

摘要

目的:探讨液体反应性动态指标在指导成人脓毒症及感染性休克复苏中的作用。数据来源:我们搜索了MEDLINE, Embase和未发表的来源,从成立到2025年2月3日。研究选择:我们纳入了随机对照试验(rct),这些试验评估了在脓毒症和感染性休克患者中,与任何其他方法相比,动态测量液体反应性来指导复苏的使用。数据提取:我们收集了有关研究和患者特征、液体反应性定义、评估液体反应性的方式和结果数据的数据。我们进行了随机效应荟萃分析,并使用分级推荐评估、发展和评估框架对证据的确定性进行了评级。数据综合:我们纳入了9项符合条件的随机对照试验(n = 698例患者)。使用液体反应性的动态测量来指导脓毒性休克患者的静脉输液(IVF)给药可能降低28天死亡率(相对风险]0.61;95% CI, 0.42-0.90,中等确定性),可能降低急性肾损伤(AKI)的风险(RR 0.66; 95% CI, 0.44-0.98,低确定性),以及第3天的累积液体平衡(平均差-1.57L; 95% CI, -2.44 L至-0.69 L,低确定性)。液体反应性动态测量的使用对ICU死亡率、ICU和住院时间、机械通气的需要和持续时间、肾脏替代治疗的需要、血管活性药物的使用、血管加压药的使用时间和第1天的IVF给药具有不确定的影响。结论:在脓毒症和脓毒性休克的成年患者中,使用液体反应性的动态测量可以提高生存率并降低AKI的风险。未来的研究应该评估这种干预对其他重要临床结果的影响,并确定评估液体反应性的特定模式的相对疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dynamic Measures of Fluid Responsiveness to Guide Resuscitation in Patients With Sepsis and Septic Shock: A Systematic Review and Meta-Analysis.

Dynamic Measures of Fluid Responsiveness to Guide Resuscitation in Patients With Sepsis and Septic Shock: A Systematic Review and Meta-Analysis.

Dynamic Measures of Fluid Responsiveness to Guide Resuscitation in Patients With Sepsis and Septic Shock: A Systematic Review and Meta-Analysis.

Objective: To determine the impact of using dynamic measures of fluid responsiveness in guiding the resuscitation of adult patients with sepsis and septic shock.

Data source: We searched MEDLINE, Embase, and unpublished sources from inception to February 3, 2025.

Study selection: We included randomized controlled trials (RCTs) that evaluated the use of dynamic measures of fluid responsiveness to guide resuscitation compared with any other method in patients with sepsis and septic shock.

Data extraction: We collected data regarding study and patient characteristics, definitions of fluid responsiveness, modality for assessing fluid responsiveness, and outcome data. We performed a random-effects meta-analysis and rated the certainty of the evidence using the Grading of Recommendations Assessment, Development, and Evaluation framework.

Data synthesis: We included nine eligible RCTs (n = 698 patients). The use of dynamic measures of fluid responsiveness to guide IV fluid (IVF) administration of patients with septic shock probably reduces 28-day mortality (relative risk] 0.61; 95% CI, 0.42-0.90, moderate certainty), may reduce the risk of acute kidney injury (AKI) (RR 0.66; 95% CI, 0.44-0.98, low certainty), and cumulative fluid balance on day 3 (mean difference -1.57L; 95% CI, -2.44 L to -0.69 L, low certainty). The use of dynamic measures of fluid responsiveness has an uncertain effect on ICU mortality, ICU and hospital length of stay, need for and duration of mechanical ventilation, need for renal replacement therapy, vasoactive medication administration, duration of vasopressor use, and IVF administration on day 1.

Conclusions: In adult patients with sepsis and septic shock, using dynamic measures of fluid responsiveness may improve survival and reduce the risk of AKI. Future studies should evaluate the impact of this intervention on other important clinical outcomes and determine the comparative efficacy of specific modalities for assessing fluid responsiveness.

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