Moreno Rui Paulo, Pearse Rupert, Rhodes Andrew
Unidade de Cuidados Intensivos Neurocríticos, Hospital de São José, Centro Hospitalar de Lisboa Central, Lisboa, Portugal.
Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Londres, Reino Unido.
Rev Bras Ter Intensiva. 2015 Apr-Jun;27(2):105-12. doi: 10.5935/0103-507X.20150020.
The European Surgical Outcomes Study described mortality following in-patient surgery. Several factors were identified that were able to predict poor outcomes in a multivariate analysis. These included age, procedure urgency, severity and type and the American Association of Anaesthesia score. This study describes in greater detail the relationship between the American Association of Anaesthesia score and postoperative mortality.
Patients in this 7-day cohort study were enrolled in April 2011. Consecutive patients aged 16 years and older undergoing inpatient non-cardiac surgery with a recorded American Association of Anaesthesia score in 498 hospitals across 28 European nations were included and followed up for a maximum of 60 days. The primary endpoint was in-hospital mortality. Decision tree analysis with the CHAID (SPSS) system was used to delineate nodes associated with mortality.
The study enrolled 46,539 patients. Due to missing values, 873 patients were excluded, resulting in the analysis of 45,666 patients. Increasing American Association of Anaesthesia scores were associated with increased admission rates to intensive care and higher mortality rates. Despite a progressive relationship with mortality, discrimination was poor, with an area under the ROC curve of 0.658 (95% CI 0.642 - 0.6775). Using regression trees (CHAID), we identified four discrete American Association of Anaesthesia nodes associated with mortality, with American Association of Anaesthesia 1 and American Association of Anaesthesia 2 compressed into the same node.
The American Association of Anaesthesia score can be used to determine higher risk groups of surgical patients, but clinicians cannot use the score to discriminate between grades 1 and 2. Overall, the discriminatory power of the model was less than acceptable for widespread use.
欧洲外科手术结果研究描述了住院手术患者的死亡率。在多变量分析中确定了几个能够预测不良结果的因素。这些因素包括年龄、手术紧急程度、严重程度和类型以及美国麻醉医师协会评分。本研究更详细地描述了美国麻醉医师协会评分与术后死亡率之间的关系。
本为期7天的队列研究中的患者于2011年4月入组。纳入了28个欧洲国家498家医院中年龄在16岁及以上、接受住院非心脏手术且记录了美国麻醉医师协会评分的连续患者,并对其进行了最长60天的随访。主要终点是住院死亡率。使用CHAID(SPSS)系统进行决策树分析,以确定与死亡率相关的节点。
该研究共纳入46,539例患者。由于存在缺失值,排除了873例患者,最终对45,666例患者进行了分析。美国麻醉医师协会评分越高,重症监护病房的入院率和死亡率越高。尽管与死亡率呈渐进关系,但辨别能力较差,ROC曲线下面积为0.658(95%CI 0.642 - 0.6775)。使用回归树(CHAID),我们确定了四个与死亡率相关的离散美国麻醉医师协会节点,其中美国麻醉医师协会1级和美国麻醉医师协会2级被压缩到同一个节点。
美国麻醉医师协会评分可用于确定手术患者的高风险组,但临床医生不能使用该评分来区分1级和2级。总体而言,该模型的辨别能力低于广泛应用可接受的水平。