在内脏外科手术中预测手术内或手术后病死率的预测得分的有用性
Karem Slim1, Julie Veziant2, Afak Nsiri3
1Pôle Santé République, ELSAN Group, 99, avenue de la République, 63000 Clermont-Ferrand, France.
Journal of visceral surgery
|December 10, 2025
概括
预测手术风险 (病态死亡率) 的预测得分对于内脏手术至关重要. 虽然ASA-PS得分是常见的,但SORT得分显示出更好的歧视和验证,尽管AI是AI.
科学领域:
- 手术成果研究的研究结果.
- 医学中的预测分析.
- 医疗服务研究 医疗服务研究
背景情况:
- 预测得分对于评估内脏外科手术中的手术内和术后风险至关重要.
- 开发和验证这些分数需要严格的方法,包括内部和外部验证.
- 现有的文献揭示了许多预测得分研究的方法质量的局限性.
研究的目的:
- 审查计划内脏手术中疾病死亡率预测得分的开发,验证和临床实用性.
- 批判性地分析常用的预测分数的表现.
- 为了确定当前手术实践中最有效和最实用的分数.
主要方法:
- 叙事文献综述,重点关注手术病死亡率的预测得分.
- 对得分开发和验证研究的文献分析.
- 评分表现的个人评估,不包括营养评分.
主要成果:
- 现有的研究很少符合评分验证的方法标准.
- 该ASA-PS得分是用户友好的,但提供适度的性能.
- 与POSSUM相比,SORT得分显示出优异的歧视;POSPOM缺乏内脏手术验证;ACS-NSQIP在欧洲无法使用;查尔森指数缺乏短期歧视.
- 对于特定的手术类型,没有得分经过正式的外部验证.
结论:
- SORT评分是最有效的预测工具,而ASA-PS仍然被广泛使用.
- 目前的预测得分有局限性,它们在特定的外科手术环境中缺乏外部验证.
- 机器学习在预测外科病死率方面的未来作用需要进一步研究.
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