Advances in resuscitation and deresuscitation.

IF 3.4 3区 医学 Q1 CRITICAL CARE MEDICINE Current Opinion in Critical Care Pub Date : 2025-06-01 Epub Date: 2025-04-21 DOI:10.1097/MCC.0000000000001267
Olivier Pantet, François-Xavier Ageron, Tobias Zingg
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Abstract

Purpose of review: This review aims to provide a perspective on fluid resuscitation strategies and emerging trends in deresuscitation, with a particular emphasis on fluid stewardship, monitoring, and personalized fluid management.

Recent findings: Recent studies underscore a paradigm shift in resuscitation strategies. Notably, aggressive plasma volume expansion has been linked to higher morbidity and mortality, favoring conservative fluid resuscitation. Dynamic parameters, such as pulse pressure variation (PPV) and stroke volume variation (SVV) outperform static markers like central venous pressure (CVP) in predicting preload responsiveness. Advances in hemodynamic monitoring and automated closed-loop fluid administration demonstrate efficacy in optimizing resuscitation. Fluid stewardship, supported by machine learning, is reshaping deresuscitation practices, and promoting negative fluid balance to reduce complications. Moreover, next-generation closed-loop systems and fluid management personalization as part of precision medicine are emerging as future directions.

Summary: Advances in fluid resuscitation challenge traditional practices, with evidence favoring personalized and goal-directed strategies. Technological innovations in hemodynamic monitoring, automated fluid control, and machine learning are driving precision fluid management. Fluid stewardship and deresuscitation aim to mitigate fluid accumulation syndrome and improve patient outcomes.

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复苏和人工呼吸的进展。
综述的目的:本综述旨在透视液体复苏策略和新出现的复苏趋势,特别强调液体管理、监测和个性化液体管理:最近的研究结果:最近的研究强调了复苏策略模式的转变。值得注意的是,激进的血浆容量扩充与较高的发病率和死亡率有关,而保守的液体复苏则更受欢迎。脉压变化(PPV)和每搏容量变化(SVV)等动态参数在预测前负荷反应方面优于中心静脉压(CVP)等静态指标。血液动力学监测和自动闭环输液技术的进步证明了其在优化复苏方面的功效。在机器学习的支持下,液体管理正在重塑复苏实践,并促进液体负平衡以减少并发症。此外,作为精准医疗的一部分,下一代闭环系统和液体管理个性化正在成为未来的发展方向。摘要:液体复苏方面的进展对传统做法提出了挑战,有证据表明个性化和以目标为导向的策略更受青睐。血液动力学监测、自动液体控制和机器学习方面的技术创新正在推动精准液体管理。液体管理和复苏旨在减轻液体蓄积综合征并改善患者预后。
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来源期刊
Current Opinion in Critical Care
Current Opinion in Critical Care 医学-危重病医学
CiteScore
5.90
自引率
3.00%
发文量
172
审稿时长
6-12 weeks
期刊介绍: ​​​​​​​​​Current Opinion in Critical Care delivers a broad-based perspective on the most recent and most exciting developments in critical care from across the world. Published bimonthly and featuring thirteen key topics – including the respiratory system, neuroscience, trauma and infectious diseases – the journal’s renowned team of guest editors ensure a balanced, expert assessment of the recently published literature in each respective field with insightful editorials and on-the-mark invited reviews.
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