[在术后期出现恶心和吐的不同预测模型的比较:基于前性定义的质量指标的系统定性比较]
T Backmund1, T Bohlender2, C Gaik2
1Klinik für Anästhesie und Intensivtherapie, Philipps Universität Marburg, Baldinger Straße, 35043 Marburg, Deutschland. teresa.backmund@web.de.
Die Anaesthesiologie
|February 6, 2024
概括
根据系统性审查,简化的Apfel评分是最有效的预测术后恶心和吐 (PONV) 风险. 与其他预后模型相比,这一得分显示出更高的性能和验证.
科学领域:
- 麻醉学 麻醉学
- 临床预测模型临床预测模型
- 基于证据的医学基于证据的医学.
背景情况:
- 为了预测术后恶心和吐 (PONV),存在多种预后模型.
- 缺乏对这些现有的PONV预测得分进行系统的比较.
研究的目的:
- 系统地比较现有的预后模型来预测术后恶心和吐 (PONV).
- 评估各种PONV预测得分的质量,可概括性,验证性和临床相关性.
主要方法:
- 在七个医学数据库中进行了系统的文献搜索.
- 鉴定的预后性PONV模型根据预定义的质量标准进行评估.
主要成果:
- 该分析包括62篇出版物和81,834名患者,涵盖8种预后模型.
- 由于广泛的验证,简化的Apfel评分显示出最佳表现.
- 范登博世和辛克莱尔的分数排在第二位,其次是简化的Koivuranta分数.
结论:
- 定性分析确定了每个PONV预测系统的优缺点.
- 基于其卓越的性能和验证,推简化Apfel评分用于临床使用.
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