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评估生理能力与手术应激评估(E-PASS)评分系统预测术后风险:一项多中心前瞻性研究。

Evaluation of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict postoperative risk: a multicenter prospective study.

作者信息

Haga Y, Ikei S, Wada Y, Takeuchi H, Sameshima H, Kimura O, Furuya T

机构信息

Department of Surgery, Kumamoto National Hospital, Japan.

出版信息

Surg Today. 2001;31(7):569-74. doi: 10.1007/s005950170088.

Abstract

We previously reported generating a scoring system termed E-PASS that predicted postsurgical risk. This study was undertaken to evaluate the usefulness of this system. A consecutive series of 902 patients who underwent elective gastrointestinal operations in six national hospitals in Japan were prospectively assessed for a comprehensive risk score (CRS) of the E-PASS, which was compared with their postoperative course. The postoperative morbidity rates linearly increased as the CRS increased. The postoperative mortality rate was only 0.13%, when the CRS was below 0.5; however, it increased to 9.7% when the CRS ranged from 0.5 to <1.0, and to 26.9% when the CRS was > or =1.0. The CRS correlated significantly with the severity of postoperative complications (rs = 0.527, P < 0.0001) and the costs of hospital stay (rs = 0.810, P < 0.0001). When the CRS-adjusted mortality rate at the CRS of > or =0.5 was compared among the hospitals, it was related to the hospital volume of operations, being 44.2% at the volume of <100 cases per year, 20.6% at the range of 100-199 cases, and 8.6% at the volume of > or =200 cases. These results suggest that E-PASS may be useful for predicting postsurgical risk, estimating medical expense, and comparing surgical quality.

摘要

我们之前报道了一种名为E-PASS的评分系统,该系统可预测术后风险。本研究旨在评估该系统的实用性。对在日本六家国立医院接受择期胃肠手术的902例连续患者进行前瞻性评估,以获得E-PASS的综合风险评分(CRS),并将其与术后病程进行比较。随着CRS的增加,术后发病率呈线性上升。当CRS低于0.5时,术后死亡率仅为0.13%;然而,当CRS在0.5至<1.0之间时,死亡率升至9.7%,当CRS≥1.0时,死亡率升至26.9%。CRS与术后并发症的严重程度显著相关(rs = 0.527,P < 0.0001)以及住院费用显著相关(rs = 0.810,P < 0.0001)。当比较各医院CRS≥0.5时经CRS调整的死亡率时,其与医院手术量相关,每年手术量<100例时为44.2%,100 - 199例时为20.6%,≥200例时为8.6%。这些结果表明,E-PASS可能有助于预测术后风险、估计医疗费用以及比较手术质量。

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