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用于急诊剖腹手术患者风险调整审计的POSSUM和P-POSSUM评分系统

POSSUM and P-POSSUM for risk-adjusted audit of patients undergoing emergency laparotomy.

作者信息

Mohil R S, Bhatnagar D, Bahadur L, Dev D K, Magan M

机构信息

Department of Surgery, Vardhman Mahavir Medical College and Safdarjang Hospital, New Delhi, India.

出版信息

Br J Surg. 2004 Apr;91(4):500-3. doi: 10.1002/bjs.4465.

Abstract

BACKGROUND

The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM) is a scoring system that is used widely to predict 30-day mortality and morbidity rates. The Portsmouth predictor modification (P-POSSUM) was developed to overcome the overprediction of mortality by POSSUM, especially in low-risk patients. In this prospective study, the validity of POSSUM and P-POSSUM was tested in patients undergoing emergency laparotomy in a referral hospital of a developing country.

METHODS

Some 120 patients who underwent emergency laparotomy in a single unit were studied. Predicted morbidity and mortality rates were calculated by POSSUM and P-POSSUM equations using both linear regression and the exponential methods of analysis. These were compared with actual outcomes.

RESULTS

When the linear method of analysis was used POSSUM overpredicted morbidity, and there was a significant difference between the observed and predicted values (observed to expected (O : E) ratio 0.68). The prediction was more accurate when the exponential method was used (O : E ratio 0.91). POSSUM also significantly overpredicted mortality when analysed by the linear method (O : E ratio 0.39), but the prediction improved when exponential analysis was used (O : E ratio 0.62). Applying linear and exponential analyses for P-POSSUM, the O : E ratios for mortality were 0.66 and 0.88 respectively.

CONCLUSION

If analysed correctly POSSUM is a good predictor of morbidity and mortality in patients undergoing emergency laparotomy. P-POSSUM predicts mortality equally well. Both equations may be used for risk-adjusted surgical audit of patients undergoing emergency laparotomy.

摘要

背景

用于计算死亡率和发病率的生理学与手术严重程度评分(POSSUM)是一种广泛用于预测30天死亡率和发病率的评分系统。朴茨茅斯预测修正版(P-POSSUM)是为克服POSSUM对死亡率的过度预测而开发的,尤其是在低风险患者中。在这项前瞻性研究中,POSSUM和P-POSSUM在一个发展中国家转诊医院接受急诊剖腹手术的患者中进行了有效性测试。

方法

对在单一科室接受急诊剖腹手术的约120例患者进行了研究。使用线性回归和指数分析方法,通过POSSUM和P-POSSUM方程计算预测的发病率和死亡率。将这些结果与实际结果进行比较。

结果

当使用线性分析方法时,POSSUM高估了发病率,观察值与预测值之间存在显著差异(观察值与预期值(O:E)之比为0.68)。使用指数方法时预测更准确(O:E之比为0.91)。通过线性方法分析时,POSSUM也显著高估了死亡率(O:E之比为0.39),但使用指数分析时预测有所改善(O:E之比为0.62)。对P-POSSUM应用线性和指数分析,死亡率的O:E之比分别为0.66和0.88。

结论

如果分析正确,POSSUM是急诊剖腹手术患者发病率和死亡率的良好预测指标。P-POSSUM对死亡率的预测同样良好。这两个方程均可用于急诊剖腹手术患者的风险调整手术审计。

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