Hobson S A, Sutton C D, Garcea G, Thomas W M
Department of General and Colorectal Surgery, The Leicester General Hospital, Leicester, UK.
Acta Anaesthesiol Scand. 2007 Jan;51(1):94-100. doi: 10.1111/j.1399-6576.2006.01167.x. Epub 2006 Nov 1.
Tools to accurately estimate the risk of death following emergency surgery are useful adjuncts to informed consent and clinical decisions. This prospective study compared the Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM) and Portsmouth POSSUM (P-POSSUM) scoring systems with clinical judgement in predicting mortality from emergency surgery.
Data were collected prospectively from 163 patients. Details of the physiological and operative severity scores were recorded for POSSUM and P-POSSUM. The estimates of both the surgeon and anaesthetist for 30-day and in-hospital mortality were also recorded pre-operatively. The accuracies of the four predictions were then compared with actual mortalities using linear and exponential analysis and receiver operator characteristics (ROC).
P-POSSUM gave the most accurate prediction of 30-day mortality using linear analysis [observed to expected ratio (O : E) = 1.0]. POSSUM gave the most accurate prediction using exponential analysis (O : E = 1.15). Clinical judgement of mortality from both operating surgeons and anaesthetists compared favourably with the scoring systems for 30-day mortality (O : E = 0.83 and O : E = 0.93, respectively). ROC analyses showed both clinical judgement and the POSSUM scores to be good predictors of 30-day mortality with area under the curve values (AUC) of 0.903, 0.907, 0.946 and 0.940 for surgeons, anaesthetists, POSSUM and P-POSSUM respectively.
POSSUM and P-POSSUM appear to be useful indicators for the prediction of mortality. Clinical judgement compares strongly with scoring systems in predicting post-operative mortality, but may underestimate mortality in very high-risk patients with more than 90% mortality.
准确评估急诊手术后死亡风险的工具是知情同意和临床决策的有用辅助手段。这项前瞻性研究比较了用于计算死亡率和发病率的生理与手术严重程度评分系统(POSSUM)和朴茨茅斯POSSUM(P-POSSUM)评分系统与临床判断在预测急诊手术死亡率方面的效果。
前瞻性收集了163例患者的数据。记录了POSSUM和P-POSSUM的生理和手术严重程度评分细节。术前还记录了外科医生和麻醉师对30天和住院期间死亡率的估计。然后使用线性和指数分析以及受试者工作特征(ROC)将这四种预测的准确性与实际死亡率进行比较。
使用线性分析时,P-POSSUM对30天死亡率的预测最为准确[观察到的与预期的比率(O:E)=1.0]。使用指数分析时,POSSUM的预测最为准确(O:E = 1.15)。手术外科医生和麻醉师对死亡率的临床判断与30天死亡率的评分系统相比具有优势(分别为O:E = 0.83和O:E = 0.93)。ROC分析表明,临床判断和POSSUM评分都是30天死亡率的良好预测指标,外科医生、麻醉师、POSSUM和P-POSSUM的曲线下面积值(AUC)分别为0.903、0.907、0.946和0.940。
POSSUM和P-POSSUM似乎是预测死亡率的有用指标。临床判断在预测术后死亡率方面与评分系统相比具有较强的竞争力,但对于死亡率超过90%的极高风险患者,可能会低估死亡率。