Division of Anaesthesia, Department of Acute Care Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Division of Anaesthesia, Department of Acute Care Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Health Services Management and Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia.
Best Pract Res Clin Anaesthesiol. 2021 May;35(1):115-134. doi: 10.1016/j.bpa.2020.12.005. Epub 2020 Dec 8.
Preoperative risk evaluation scores are used prior to surgery to predict perioperative risks. They are also a useful tool to help clinicians communicate the risk-benefit balance of the procedure to patients. This review identifies and assesses the existing preoperative risk evaluation scores (also called prediction scores) of postoperative mortality in all types of surgery (emergency or scheduled) in an adult population. We systematically identified studies using the MEDLINE, Ovid EMBASE and Cochrane databases and published studies reporting the development and validation of preoperative predictive scores of postoperative mortality. We assessed usability, the level of evidence of the studies performed for external validation, and the predictive accuracy of the scores identified. We found 26 scores described within 60 different reports. The most suitable scores with the highest validity identified for anaesthesia practice were the Preoperative Score to Predict Postoperative Mortality (POSPOM), the Universal ACS NSQIP surgical risk calculator (ACS-NSQUIP), the Clinical Frailty Scale (CFS) and the American Society of Anesthesiologists Physical Status (ASA-PS) classification system. While other scores identified in this review could also be endorsed, their level of validity and generalizability to the general surgical population should be carefully considered.
术前风险评估评分用于手术前预测围手术期风险。它们也是帮助临床医生向患者传达手术风险-获益平衡的有用工具。本综述确定并评估了现有针对所有类型手术(急诊或择期)成年患者术后死亡率的术前风险评估评分(也称为预测评分)。我们系统地使用 MEDLINE、Ovid EMBASE 和 Cochrane 数据库进行了研究检索,并发表了报告术前预测术后死亡率的预测评分开发和验证的研究。我们评估了评分的可用性、外部验证研究的证据水平以及评分的预测准确性。我们在 60 份不同的报告中发现了 26 个评分。在麻醉实践中确定的最适合且有效性最高的评分是术后死亡率预测术前评分(POSPOM)、通用 ACS NSQIP 手术风险计算器(ACS-NSQUIP)、临床虚弱量表(CFS)和美国麻醉医师协会身体状况(ASA-PS)分类系统。虽然本综述中确定的其他评分也可以得到认可,但应仔细考虑其有效性和对一般外科人群的普遍性。