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根据食不耐受性的预测模型,在重症患者中修改食协议:多中心集群随机对照试验 (mNEED研究) 的协议
Youquan Wang1, Yanhua Li1, Ying Chen1
1Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.
这项研究调查了修改营养方案 (mNEED) 是否可以降低重症患者的食不耐受. 目标是通过在重症监护病房的基于证据的营养治疗来改善临床结果.
科学领域:
- 关键护理医学 关键护理医学
- 临床营养学 临床营养学
- 基于证据的实践.
背景情况:
- 食不耐受 (FI) 是重症患者常见的并发症,可能导致不良临床结果.
- NOFI预测模型旨在预测FI,指导营养干预措施.
- 基于NOFI模型的重症患者修改营养方案 (mNEED) 在减少FI和改善结果方面的有效性仍然不确定.
研究的目的:
- 评估mNEED协议是否可以降低重症患者FI的发病率.
- 确定实施mNEED协议是否会改善临床结果.
- 评估结构化,基于预测模型的营养策略在重症监护机构的影响.
主要方法:
- 一个多中心的,集群随机对照试验,涉及90个ICU在中国.
- 包括2250名接受早期肠道营养的重症患者.
- 干预组接受了根据mNEED协议指导的营养治疗,而对照组接受了标准护理.
主要成果:
- 主要结局:在ICU入院后的前7天内FI的发生率.
- 此外,还将分析二次结果和过程措施.
- 对于主要结果,将进行治疗意图分析.
结论:
- 该研究旨在提供关于mNEED协议有效性的关键数据.
- 研究结果将为临床实践提供有关重症患者营养管理的信息.
- 这项研究可以为预防和管理重症监护室的食不耐症制定一个新的标准.
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