对ICU患者在肠道营养期间的食不耐受症风险预测模型的系统评估
Xianqiao Huang1, Liming Zhong2, Chao Li2
1Nursing Department, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, China.
Asia Pacific journal of clinical nutrition
|July 30, 2025
概括
对于接受肠道营养 (EN) 的ICU患者的食不耐受 (FI) 的风险预测模型至关重要. 这次审查评估了现有的模型,发现了不同的性能指标,但强调了需要验证的工具来管理EN并发症.
科学领域:
- 关键护理医学 关键护理医学
- 营养支持营养支持
- 临床预测模型临床预测模型
背景情况:
- 接受肠道营养 (EN) 的重症患者经常出现并发症.
- 食不耐受 (FI) 是一个常见的问题,经常导致减少或停止EN.
- 为了有效管理EN,需要准确预测FI.
研究的目的:
- 系统地评估风险预测模型,以对严重病情患者的食不耐受 (FI) 进行评估.
- 评估业绩并确定用于FI预测的验证模型.
- 为临床实践和未来关于ICU患者营养支持的研究提供信息.
主要方法:
- 在主要数据库 (Embase,PubMed,科学网等) 进行全面的文献搜索. 在2024年1月之前.
- 由两名研究人员进行的独立选和数据提取.
- 使用偏差风险工具对包含的研究进行质量评估.
主要成果:
- 包括13项研究,重点是患有败血症,胰腺炎或脑中风的患者.
- FI的发病率在35.2%至49.3%之间.
- 模型显示出良好的预测性能,AUC/C指数在0.70-0.91之间,灵敏度为0.81-0.93,特异性为0.68-0.83.
结论:
- 经过验证的FI风险预测模型对于EN重症患者的风险预测模型至关重要.
- 现有的模型显示有希望的预测能力,但需要进一步的内部和外部验证.
- 需要高性能,经过验证的模型来优化EN输送和患者的结果.
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