Literature DB >> 15263831

E-PASS (The Estimation of Physiologic Ability and Surgical Stress) scoring system helps the prediction of postoperative morbidity and mortality in thoracic surgery.

S Yamashita1, Y Haga, E Nemoto, S Nagai, M Ohta.   

Abstract

OBJECTIVE: When a new scoring system, 'E-PASS', standing for the Estimation of Physiologic Ability and Surgical Stress that predicts the postoperative surgical risk by quantification of the patient's reserve and surgical stress applied to a population of general thoracic surgery patients, it should be investigated if this system could help us or not.
METHODS: The comprehensive risk score (CRS) of the E-PASS and the clinical course were evaluated retrospectively in 282 consecutive patients with primary lung cancer (group A), and in 458 patients who underwent elective thoracic operations (group B).
RESULTS: The morbidity and mortality rates in both group A and group B increased as the CRS increased. The CRS correlated significantly with the morbidity score, length of stay and cost of hospitalization.
CONCLUSIONS: E-PASS scoring system may be useful in surgical decision-making and evaluating quality of care in patients who are tolerable for lung resection. Copyright 2004 S. Karger AG, Basel

Entities:  

Mesh:

Year:  2004        PMID: 15263831     DOI: 10.1159/000078860

Source DB:  PubMed          Journal:  Eur Surg Res        ISSN: 0014-312X            Impact factor:   1.745


  13 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.  Letter to the editor: new equations for predicting postoperative risk in patients with hip fracture.

Authors:  Zhijie Zhou; Shunwu Fan
Journal:  Clin Orthop Relat Res       Date:  2010-04       Impact factor: 4.176

7.  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

8.  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

9.  Comparison of surgical outcome using the prediction scoring system of E-PASS for thoracic surgery.

Authors:  Shin-ichi Yamashita; Yoshio Haga; Etsuo Nemoto; Naoko Imanishi; Morio Ohta; Katsunobu Kawahara
Journal:  Jpn J Thorac Cardiovasc Surg       Date:  2006-09

10.  New equations for predicting postoperative risk in patients with hip fracture.

Authors:  Jun Hirose; Junji Ide; Hiroki Irie; Kenshi Kikukawa; Hiroshi Mizuta
Journal:  Clin Orthop Relat Res       Date:  2009-06-04       Impact factor: 4.176

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