Brooks M J, Sutton R, Sarin S
Department of Surgery, Watford General Hospital, Watford, UK.
Br J Surg. 2005 Oct;92(10):1288-92. doi: 10.1002/bjs.5058.
Much current interest is focused on the use of the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM) and the Portsmouth predictor equation (p-POSSUM) for risk-adjusted surgical audit. The Surgical Risk Score (SRS) has been shown to offer an equivalent accuracy, but was validated using a cohort that contained a high proportion of low-risk patients. The aim of this study was to compare the accuracy of mortality prediction using SRS with that of POSSUM and p-POSSUM in a cohort of higher-risk patients.
Some 949 consecutive patients undergoing inpatient surgical procedures in a district general hospital under the care of a single surgeon were analysed.
The observed 30-day mortality rate was 8.4 per cent. Mean mortality rates predicted using SRS, POSSUM and p-POSSUM scores were 5.9, 12.6 and 7.3 per cent respectively. No significant difference was observed in the area under the receiver-operator characteristic curves for the three methods.
The SRS accurately predicted mortality in higher-risk surgical patients. The accuracy of prediction equalled that of POSSUM and p-POSSUM.
目前,许多人关注使用生理和手术严重程度评分系统来计算死亡率和发病率(POSSUM)以及朴茨茅斯预测方程(p-POSSUM)进行风险调整后的手术审计。手术风险评分(SRS)已被证明具有同等的准确性,但它是在一个低风险患者比例较高的队列中进行验证的。本研究的目的是在一个高风险患者队列中比较SRS与POSSUM和p-POSSUM预测死亡率的准确性。
分析了在一家地区综合医院由一名外科医生负责护理的约949例连续接受住院手术的患者。
观察到的30天死亡率为8.4%。使用SRS、POSSUM和p-POSSUM评分预测的平均死亡率分别为5.9%、12.6%和7.3%。三种方法的受试者工作特征曲线下面积没有显著差异。
SRS能准确预测高风险手术患者的死亡率。预测准确性与POSSUM和p-POSSUM相当。