Pittman Elliot, Dixon Elijah, Duttchen Kaylene
From the Department of Anesthesiology and Pain Medicine, University of Alberta, Edmonton, AB, Canada.
Department of General Surgery, Foothills Medical Centre, Professor of Surgery, Oncology, and Community Health Sciences, University of Calgary, Calgary AB, Canada.
Ann Surg Open. 2022 Dec 7;3(4):e227. doi: 10.1097/AS9.0000000000000227. eCollection 2022 Dec.
To review the current literature evaluating the performance of the Surgical Apgar Score (SAS).
The SAS is a simple metric calculated at the end of surgery that provides clinicians with information about a patient's postoperative risk of morbidity and mortality. The SAS differs from other prognostic models in that it is calculated from intraoperative rather than preoperative parameters. The SAS was originally derived and validated in a general and vascular surgery population. Since its inception, it has been evaluated in many other surgical disciplines, large heterogeneous surgical populations, and various countries.
A database and gray literature search was performed on March 3, 2020. Identified articles were reviewed for applicability and study quality with prespecified inclusion criteria, exclusion criteria, and quality requirements. Thirty-six observational studies are included for review. Data were systematically extracted and tabulated independently and in duplicate by two investigators with differences resolved by consensus.
All 36 included studies reported metrics of discrimination. When using the SAS to correctly identify postoperative morbidity, the area under the receiver operating characteristic curve or concordance-statistic ranged from 0.59 in a general orthopedic surgery population to 0.872 in an orthopedic spine surgery population. When using the SAS to identify mortality, the area under the receiver operating characteristic curve or concordance-statistic ranged from 0.63 in a combined surgical population to 0.92 in a general and vascular surgery population.
The SAS provides a moderate and consistent degree of discrimination for postoperative morbidity and mortality across multiple surgical disciplines.
回顾当前评估外科阿普加评分(SAS)性能的文献。
SAS是一种在手术结束时计算的简单指标,为临床医生提供有关患者术后发病和死亡风险的信息。SAS与其他预后模型的不同之处在于,它是根据术中而非术前参数计算得出的。SAS最初是在普通外科和血管外科人群中推导和验证的。自其诞生以来,已在许多其他外科领域、大型异质性外科人群以及不同国家进行了评估。
于2020年3月3日进行了数据库和灰色文献检索。根据预先设定的纳入标准、排除标准和质量要求,对检索到的文章进行适用性和研究质量审查。纳入36项观察性研究进行综述。由两名研究人员独立且重复地系统提取数据并制成表格,如有差异通过协商解决。
所有36项纳入研究均报告了区分度指标。使用SAS正确识别术后发病情况时,受试者工作特征曲线下面积或一致性统计量范围从普通骨科手术人群中的0.59到脊柱骨科手术人群中的0.872。使用SAS识别死亡率时,受试者工作特征曲线下面积或一致性统计量范围从联合手术人群中的0.63到普通外科和血管外科人群中的0.92。
SAS在多个外科领域对术后发病和死亡情况提供了中等且一致程度的区分度。