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肺手术中POSSUM评分系统的评估。用于计算死亡率和发病率的生理和手术严重程度评分。

Evaluation of the POSSUM scoring system in lung surgery. Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity.

作者信息

Brunelli A, Fianchini A, Xiume F, Gesuita R, Mattei A, Carle F

机构信息

Department of Thoracic Surgery, University of Ancona, Italy.

出版信息

Thorac Cardiovasc Surg. 1998 Jun;46(3):141-6. doi: 10.1055/s-2007-1010211.

Abstract

The current study was designed to test the POSSUM (Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity) in a population of lung resection candidates, and to propose its use as an instrument of evaluation of surgical outcome and quality in thoracic surgery. 250 consecutive patients submitted to lung resection from 1993 through 1996 at our institution were prospectively evaluated. Two significant predictive models were than yielded by logistic regression analysis (model I: POSSUM alone; model II: Combining POSSUM Physiological Score with predicted postoperative FEV1 ) and compared with each other by means of ROC curves analysis. The study of the areas under the ROC curves showed that these models were equally predictive of postoperative complications (area of model I=0.66; area of model II=0.67). Both models showed no significant differences between predicted and observed morbidity (chi-square test p > 0.05). In particular, in model II there was perfect agreement between observed and predicted morbidity in the group of patients with a predicted morbidity above 60%. These results suggest that POSSUM may be appropriately used as a tool of surgical audit even in lung surgery.

摘要

本研究旨在对拟行肺切除术的患者群体进行POSSUM(手术死亡率和发病率生理及手术严重程度评分)测试,并建议将其用作评估胸外科手术结果和质量的工具。对1993年至1996年期间在本机构连续接受肺切除术的250例患者进行了前瞻性评估。通过逻辑回归分析得出了两个显著的预测模型(模型I:仅使用POSSUM;模型II:将POSSUM生理评分与预测的术后第一秒用力呼气量相结合),并通过ROC曲线分析对二者进行比较。对ROC曲线下面积的研究表明,这些模型对术后并发症的预测能力相当(模型I面积 = 0.66;模型II面积 = 0.67)。两个模型在预测发病率与观察到的发病率之间均无显著差异(卡方检验p > 0.05)。特别是在模型II中,预测发病率高于60%的患者组中,观察到的发病率与预测发病率完全一致。这些结果表明,即使在肺手术中,POSSUM也可作为手术审计的合适工具。

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