Literature DB >> 15981043

Usefulness of an estimation of physiologic ability and surgical stress (E-PASS) scoring system to predict the incidence of postoperative complications in gastrointestinal surgery.

Yoshio Oka1, Junichi Nishijima, Kunihiko Oku, Tatsuo Azuma, Keiji Inada, Satoru Miyazaki, Hiroshi Nakano, Yukihiro Nishida, Kazuya Sakata, Masaaki Izukura.   

Abstract

Surgical intervention induces various host responses to maintain homeostasis. When postoperative inflammation is intense and persists for a long time, postoperative complications may occur, sometimes developing into multiple organ failure. Therefore, it is very important to assess surgical stress and predict the risk of morbidity and mortality. Using a new scoring system, an estimation of physiologic ability and surgical stress (E-PASS) scoring system, surgical stress following gastrointestinal surgery was evaluated to assess the feasibility of this scoring system. This system comprises a preoperative risk score (PRS), a surgical stress score (SSS), and a comprehensive risk score (CRS) that is calculated from both the PRS and the SSS. The relationship of the E-PASS score to the incidence of morbidity and mortality was examined. The relationship between the E-PASS score and a sequential organ failure (SOFA) score was also evaluated. The CRS had a significant positive correlation between not only the incidence but also the grade of postoperative complications. Total maximum SOFA score in patients with a CRS of more than 1 was significantly higher than that in patients with a CRS of less than 1. In conclusion, the E-PASS scoring system will be useful for predicting and recognizing the risk of postoperative complications. This scoring system is brief, simple, and reproducible and can be useful in all types of hospitals.

Entities:  

Mesh:

Year:  2005        PMID: 15981043     DOI: 10.1007/s00268-005-7719-y

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  20 in total

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

Authors:  Y Haga; S Ikei; Y Wada; H Takeuchi; H Sameshima; O Kimura; T Furuya
Journal:  Surg Today       Date:  2001       Impact factor: 2.549

2.  Predictive factors associated with the development of abdominal compartment syndrome in the surgical intensive care unit.

Authors:  John McNelis; Corrado P Marini; Antoni Jurkiewicz; Scott Fields; Drew Caplin; Deborah Stein; Garry Ritter; Ira Nathan; H Hank Simms
Journal:  Arch Surg       Date:  2002-02

3.  Serum interleukin 6, C-reactive protein and pancreatic secretory trypsin inhibitor (PSTI) as acute phase reactants after major thoraco-abdominal surgery.

Authors:  A Murata; M Ogawa; T Yasuda; J Nishijima; Y Oka; Y Ohmachi; N Hiraoka; T Niinobu; K Uda; T Mori
Journal:  Immunol Invest       Date:  1990-06       Impact factor: 3.657

4.  The natural history of the systemic inflammatory response syndrome and the evaluation of SIRS criteria as a predictor of severity in patients hospitalized through emergency services.

Authors:  D Sun; N Aikawa
Journal:  Keio J Med       Date:  1999-03

5.  Estimation of Physiologic Ability and Surgical Stress (E-PASS) as a new prediction scoring system for postoperative morbidity and mortality following elective gastrointestinal surgery.

Authors:  Y Haga; S Ikei; M Ogawa
Journal:  Surg Today       Date:  1999       Impact factor: 2.549

6.  The use of maximum SOFA score to quantify organ dysfunction/failure in intensive care. Results of a prospective, multicentre study. Working Group on Sepsis related Problems of the ESICM.

Authors:  R Moreno; J L Vincent; R Matos; A Mendonça; F Cantraine; L Thijs; J Takala; C Sprung; M Antonelli; H Bruining; S Willatts
Journal:  Intensive Care Med       Date:  1999-07       Impact factor: 17.440

7.  Elevation of circulating interleukin 6 after surgery: factors influencing the serum level.

Authors:  K Sakamoto; H Arakawa; S Mita; T Ishiko; S Ikei; H Egami; S Hisano; M Ogawa
Journal:  Cytokine       Date:  1994-03       Impact factor: 3.861

8.  Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on "sepsis-related problems" of the European Society of Intensive Care Medicine.

Authors:  J L Vincent; A de Mendonça; F Cantraine; R Moreno; J Takala; P M Suter; C L Sprung; F Colardyn; S Blecher
Journal:  Crit Care Med       Date:  1998-11       Impact factor: 7.598

9.  Prediction of operative mortality based on impairment of host defense systems in patients with esophageal cancer.

Authors:  T Saito; K Shimoda; T Kinoshita; Y Shigemitsu; M Miyahara; M Kobayashi; A Shimaoka
Journal:  J Surg Oncol       Date:  1993-01       Impact factor: 3.454

10.  Circulating interleukin 6 as a useful marker for predicting postoperative complications.

Authors:  Y Oka; A Murata; J Nishijima; T Yasuda; N Hiraoka; Y Ohmachi; K Kitagawa; T Yasuda; H Toda; N Tanaka
Journal:  Cytokine       Date:  1992-07       Impact factor: 3.861

View more
  14 in total

1.  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

2.  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

3.  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

4.  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

5.  Regulatory T cells in the blood: a new marker of surgical stress.

Authors:  Yu Saito; Mitsuo Shimada; Tohru Utsunomiya; Yuji Morine; Satoru Imura; Tetsuya Ikemoto; Hiroki Mori; Jun Hanaoka; Shuichi Iwahashi; Shinichiro Yamada; Michihito Asanoma
Journal:  Surg Today       Date:  2013-02-15       Impact factor: 2.549

6.  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

7.  E-PASS for predicting postoperative risk with hip fracture: a multicenter study.

Authors:  Jun Hirose; Hiroshi Mizuta; Junji Ide; Eiichi Nakamura; Koji Takada
Journal:  Clin Orthop Relat Res       Date:  2008-07-29       Impact factor: 4.176

8.  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

Review 9.  A review of risk scoring systems utilised in patients undergoing gastrointestinal surgery.

Authors:  Aninda Chandra; Sudhakar Mangam; Deya Marzouk
Journal:  J Gastrointest Surg       Date:  2009-03-25       Impact factor: 3.452

10.  Assessing the risk: Scoring systems for outcome prediction in emergency laparotomies.

Authors:  Deb Sanjay Nag
Journal:  Biomedicine (Taipei)       Date:  2015-11-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.