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Evaluation of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict postoperative risk: a multicenter prospective study
Authors:Haga Y  Ikei S  Wada Y  Takeuchi H  Sameshima H  Kimura O  Furuya T
Institution:(1) Department of Surgery, Kumamoto National Hospital, 1-5 Ninomaru, Kumamoto 860-0008, Japan, JP;(2) Department of Surgery, Himeji National Hospital, 68 Hon-machi, Himeji 670-8520, Japan, JP;(3) Department of Surgery, Iwakuni National Hospital, 2-5-1 Kuroiso, Iwakuni 740-8510, Japan, JP;(4) Department of Surgery, Miyakonojo National Hospital, 5033-1 Iwayoshi-cho, Miyakonojo 885-0014, Japan, JP;(5) Department of Surgery, Yonago National Hospital, 1293-1 Kuzumo, Yonago 683-7111, Japan, JP;(6) Department of Surgery, Yamaguchi National Hospital, 7-3 Kogushi, Toyoura-cho, Toyoura-gun, Yamaguchi 759-6302, Japan, JP
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 ≥1.0. The CRS correlated significantly with the severity of postoperative complications (r s = 0.527, P < 0.0001) and the costs of hospital stay (r s = 0.810, P < 0.0001). When the CRS-adjusted mortality rate at the CRS of ≥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 ≥200 cases. These results suggest that E-PASS may be useful for predicting postsurgical risk, estimating medical expense, and comparing surgical quality. Received: June 12, 2000 / Accepted: November 20, 2000
Keywords:Postoperative morbidity  Postoperative mortality  Surgical audit  Medical expense
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