在重症监护室自动计算序列性器官衰竭评估 (SOFA) 评分:算法开发,验证和与30天死亡率相关联
Johan Helleberg1,2, Anna Sundelin3,4, Navid Soltani3,4
1Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital Huddinge, Stockholm, Sweden.
Acta anaesthesiologica Scandinavica
|February 16, 2026
概括
开发并验证了一种自动化序列器官衰竭评估 (SOFA) 评分算法,其准确性与手动评分相当. 该工具可靠地预测重症监护室患者的30天死亡率.
科学领域:
- 关键护理医学 关键护理医学
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
背景情况:
- 序列器官衰竭评估 (SOFA) 评分对于评估器官功能障碍,预后和在重症监护室 (ICU) 诊断败血症至关重要.
- 手动SOFA评分面临的挑战是评分器之间的变化和可扩展性.
- 开发自动化SOFA计算方法对于提高效率和一致性至关重要.
研究的目的:
- 开发和验证用于自动计算SOFA分数的算法.
- 为了评估30天死亡率的自动化SOFA得分的预测准确性.
主要方法:
- 一项追溯的多中心队列研究,涉及2015-2018年期间四个ICU的成年患者.
- 使用一个ICU的2018年数据开发算法;在300个随机选择的ICU日内,实力医生对手动评分进行验证.
- 计算了用于得分准确性的类内相关系数 (ICC) 和用于死亡率预测的接收器运行特征曲线 (AUROC) 下的面积.
主要成果:
- 该研究包括6953例ICU入院病例;该算法是在613例入院病例上开发的.
- 自动化的SOFA评分验证显示了高准确度,ICC为0.99 (0.98-1.00).
- 自动化最大SOFA和第二天SOFA得分显示出强烈的30天死亡预测,AUROC分别为0.79 (0.78-0.81和0.77-0.80).
结论:
- 一个自动化的SOFA评分系统可以生成可靠的数据集,其准确性与高级重症监护医生的手动评分相美.
- 自动化SOFA评分有效预测30天死亡率在一个大,现实世界的ICU队列.
- 自动化SOFA评分是临床研究,质量监测和潜在的实时临床决策支持的可靠工具.
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