对于重大术后并发症的外科Apgar评分的预测价值:在第三级护理环境中进行的一项前性观察研究
Kamala Kannan Murugan1, Emil Phinehas Mariantony2, Sasikala Kathiresan3
1General Surgery, Velammal Medical College Hospital and Research Institute, Madurai, IND.
Cureus
|February 23, 2026
概括
手术Apgar评分 (SAS) 显示,在各种手术患者中,预测术后并发症的能力有限. 作为一个独立的工具,它的实用性值得怀疑,但它可以提供额外的手术内风险数据.
科学领域:
- 手术成果研究的研究结果.
- 在手术中风险分层.
背景情况:
- 手术Apgar评分 (SAS) 是一个拟议的术内工具,用于估计术后风险.
- 它在不同手术群体中的有效性尚未得到充分证实.
研究的目的:
- 为了前性地评估SAS在预测手术后并发症的歧视性表现,在混合的手术队列中.
主要方法:
- 一项前性观察队列研究招募了95名接受重大选择性或紧急手术的成年患者.
- 为了计算SAS,收集了手术内变量;30天内的术后并发症是主要结果.
- 用多变量后勤回归和ROC分析来评估关联和歧视,包括对ASA身体状况的敏感性分析.
主要成果:
- 术后并发症发生在40.4%的患者中.
- 未经调整的分析显示,较低的SAS与较高的并发症率相关.
- 经过多变量调整后,SAS并没有独立地与并发症相关,但当ASA状态被包括在内时,它接近显著性 (p=0.035).
- 接收器运行特征 (ROC) 分析表明受限于适度的区分能力 (AUC 0.623).
结论:
- 在这种异构的手术队列中,SAS在术后并发症方面表现出有限至适度的分辨能力.
- 它作为一个独立的风险分层工具的实用性有限.
- 当与其他风险指标一起使用时,SAS可以提供补充的业内风险信息.
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