Literature DB >> 17618800

Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery.

Tjun Tang1, Stewart R Walsh, Thomas R Fanshawe, Jonathan H Gillard, Umar Sadat, Kevin Varty, Michael E Gaunt, Jonathan R Boyle.   

Abstract

BACKGROUND: The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score was designed on the premise that the balance between the patient's physiologic reserve capacity and the surgical stress inflicted at operation was important in the occurrence of postoperative complications. The aim of this study was to assess its value in predicting mortality and morbidity after open elective abdominal aortic aneurysm (AAA) repair.
METHODS: E-PASS data items were collected prospectively in a group of 204 patients undergoing elective open AAA repair over a 6-year period. The operative morbidity and mortality rates were compared with the preoperative risk score (PRS), surgical stress score (SSS) and comprehensive risk score (CRS) of E-PASS. The group comprised 180 (88%) males and the median age was 73 (range 44 to 86) years.
RESULTS: There were 13 (6%) deaths and 121 (59%) experienced a postoperative complication. As the PRS, SSS and CRS increased, the incidence of postoperative morbidity and mortality significantly increased (P < .0001). Overall mean CRS was .52 (+/-.27). Mean CRS in the groups of patients who survived and died were .49 (+/-.24) and .98 (+/-26), respectively. PRS, SSS, and CRS all had extremely good predictive power for both mortality and morbidity as demonstrated by high areas under the receiver operator curve (range .799 to .953). CRS also showed a strong statistically significant association with the severity of postoperative complication (P < .0001) and length of hospital stay (P < .0001).
CONCLUSIONS: The E-PASS model appears to be a promising method of predicting death and the development of postoperative complications in patients undergoing elective open AAA surgery. It requires further validation in arterial surgery at different geographical locations.

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Year:  2007        PMID: 17618800     DOI: 10.1016/j.amjsurg.2006.10.032

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  14 in total

1.  Evaluation of the utility of the Estimation of Physiologic Ability and Surgical Stress score for predicting post-operative morbidity after orthopaedic surgery.

Authors:  Takehiro Nagata; Jun Hirose; Takayuki Nakamura; Takuya Tokunaga; Yusuke Uehara; Hiroshi Mizuta
Journal:  Int Orthop       Date:  2015-09-23       Impact factor: 3.075

2.  Prediction of anastomotic leak and its prognosis in digestive surgery.

Authors:  Yoshio Haga; Yasuo Wada; Hitoshi Takeuchi; Koji Ikejiri; Masakazu Ikenaga
Journal:  World J Surg       Date:  2011-04       Impact factor: 3.352

3.  Validation of the estimation of physiologic ability and surgical stress (E-PASS) score in liver surgery.

Authors:  Vanessa M Banz; Peter Studer; Daniel Inderbitzin; Daniel Candinas
Journal:  World J Surg       Date:  2009-06       Impact factor: 3.352

4.  Development and validation of the Calculation of post-Operative Risk in Emergency Surgery (CORES) model.

Authors:  Naoki Miyazaki; Yoshio Haga; Hidekazu Matsukawa; Tatsuhiro Ishimura; Miki Fujita; Tadashi Ejima; Hironari Tanimoto
Journal:  Surg Today       Date:  2013-08-31       Impact factor: 2.549

5.  Evaluation of modified Estimation of Physiologic Ability and Surgical Stress in gastric carcinoma surgery.

Authors:  Yoshio Haga; Yasuo Wada; Hitoshi Takeuchi; Koji Ikejiri; Masakazu Ikenaga; Osamu Kimura
Journal:  Gastric Cancer       Date:  2011-05-03       Impact factor: 7.370

6.  Evaluation of estimation of physiologic ability and surgical stress to predict in-hospital mortality in cardiac surgery.

Authors:  Atsushi Kotera; Yoshio Haga; Junichi Kei; Minoru Okamoto; Katsuhiro Seo
Journal:  J Anesth       Date:  2011-05-11       Impact factor: 2.078

7.  Estimation of Physiologic Ability and Surgical Stress (E-PASS) versus modified E-PASS for prediction of postoperative complications in elderly patients who undergo gastrectomy for gastric cancer.

Authors:  Yuki Kitano; Masaaki Iwatsuki; Junji Kurashige; Daisuke Kuroda; Keisuke Kosumi; Yoshifumi Baba; Yasuo Sakamoto; Yuji Miyamoto; Naoya Yoshida; Yoshio Haga; Hideo Baba
Journal:  Int J Clin Oncol       Date:  2016-08-12       Impact factor: 3.402

8.  Value of E-PASS models for predicting postoperative morbidity and mortality in resection of perihilar cholangiocarcinoma and gallbladder carcinoma.

Authors:  Yoshio Haga; Atsushi Miyamoto; Yasuo Wada; Yuko Takami; Hitoshi Takeuchi
Journal:  HPB (Oxford)       Date:  2015-11-18       Impact factor: 3.647

9.  Can the physiologic ability and surgical stress (E-PASS) scoring system predict operative morbidity after distal pancreatectomy?

Authors:  Daisuke Hashimoto; Hiroshi Takamori; Yasuo Sakamoto; Hiroshi Tanaka; Masahiko Hirota; Hideo Baba
Journal:  Surg Today       Date:  2010-06-26       Impact factor: 2.549

10.  Prospective randomized controlled trial to evaluate "fast-track" elective open infrarenal aneurysm repair.

Authors:  Bernd M Muehling; Gisela Halter; Gunter Lang; Hubert Schelzig; Peter Steffen; Florian Wagner; Rainer Meierhenrich; Ludger Sunder-Plassmann; Karl-Heinz Orend
Journal:  Langenbecks Arch Surg       Date:  2008-02-14       Impact factor: 3.445

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