手术Apgar评分:对其歧视性表现的系统审查
Elliot Pittman1, Elijah Dixon2, Kaylene Duttchen3
1From the Department of Anesthesiology and Pain Medicine, University of Alberta, Edmonton, AB, Canada.
概括
手术Apgar评分 (SAS) 在各种手术领域提供中度和一致的术后发病率和死亡率预测. 这种手术内指标有助于临床医生有效评估患者的风险.
科学领域:
- 手术结果研究研究.
- 临床风险分层的临床风险分层
- 医疗保健服务研究 医疗服务研究
背景情况:
- 手术Apgar评分 (SAS) 是预测术后发病率和死亡率的手术内度指标.
- 与手术前模型不同,SAS使用手术内参数进行风险评估.
- 最初在一般和血管手术中得到验证,SAS已被应用于全球各个不同的外科学科和人群.
研究的目的:
- 系统地审查和评估外科阿帕尔分数 (SAS) 在预测患者结果方面的表现.
- 综合有关SAS在不同外科专业的辨别能力的证据.
主要方法:
- 2020年3月3日进行了全面的数据库和灰色文献搜索.
- 在严格选适用性和质量后,包括了36项观察性研究.
- 数据提取和表格由两名调查人员独立执行,以确保准确性.
主要成果:
- 美国空军在术后发病率和死亡率方面显示出中度和持续的歧视.
- 接受器操作特征曲线 (或一致性统计) 下的面积用于预测不同手术群体的患病率在0.59到0.872之间.
- 对于死亡率预测,SAS在包括的研究中显示了0.63到0.92的范围.
结论:
- 手术Apgar评分 (SAS) 为评估术后风险提供了一个可靠的工具.
- 在广泛的外科科目中,SAS表现一致.
- 这些发现支持SAS在临床实践中用于风险分层的实用性.
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