Literature DB >> 26420667

Evaluation of the POSSUM, p-POSSUM, o-POSSUM, and APACHE II scoring systems in predicting postoperative mortality and morbidity in gastric cancer patients.

Shikai Hong1, Shengying Wang2, Guozeng Xu3, JinLu Liu4.   

Abstract

BACKGROUND/
OBJECTIVE: Gastric cancer is the fourth most prevalent cancer worldwide. The ability to accurately predict surgery-related morbidity and mortality is critical in deciding both the timing of surgery and choice of surgical procedure. The aim of this study is to compare the POSSUM, p-POSSUM, o-POSSUM, and APACHE II scoring systems for predicting surgical morbidity and mortality in Chinese gastric cancer patients, as well as to create new scoring systems to achieve better prediction.
METHODS: Data from 612 gastric cancer patients undergoing gastrectomy between January 2007 and December 2011 were included in this study. The predictive abilities of the four scoring systems were compared by examining observed-to-expected (O/E) ratios, the receiver operating characteristic curve, Student t test, and χ2 test results.
RESULTS: The observed complication rate of 34% (n = 208) did not differ significantly from the rate of 36.6% (n = 208) predicted by the POSSUM scoring system (O/E ratio = 0.93). The observed mortality rate was 2.9% (n = 18). For predicting mortality, POSSUM had an O/E ratio of 0.34 as compared with p-POSSUM (O/E ratio = 0.91), o-POSSUM (O/E ratio = 1.26), and APACHE II (O/E ratio = 0.28).
CONCLUSION: The POSSUM scoring system performed well with respect to predicting morbidity risk following gastric cancer resection. For predicting postoperative mortality, p-POSSUM and o-POSSUM exhibited superior performance relative to POSSUM and APACHE II.
Copyright © 2017. Published by Elsevier Taiwan.

Entities:  

Keywords:  gastric cancer; morbidity; mortality; receiver operating characteristic curve; scoring systems

Mesh:

Year:  2015        PMID: 26420667     DOI: 10.1016/j.asjsur.2015.07.004

Source DB:  PubMed          Journal:  Asian J Surg        ISSN: 1015-9584            Impact factor:   2.767


  11 in total

1.  Usefulness of preoperative estimated glomerular filtration rate to predict complications after curative gastrectomy in patients with clinical T2-4 gastric cancer.

Authors:  Yuri Tanaka; Mitsuro Kanda; Chie Tanaka; Daisuke Kobayashi; Akira Mizuno; Naoki Iwata; Masamichi Hayashi; Yukiko Niwa; Hideki Takami; Suguru Yamada; Tsutomu Fujii; Goro Nakayama; Hiroyuki Sugimoto; Michitaka Fujiwara; Yasuhiro Kodera
Journal:  Gastric Cancer       Date:  2016-10-12       Impact factor: 7.370

2.  The predictive value of preoperative risk assessments and frailty for surgical complications in lung cancer patients.

Authors:  Hiroyuki Kaneda; Takahito Nakano; Tomohiro Murakawa
Journal:  Surg Today       Date:  2020-06-25       Impact factor: 2.549

3.  P-POSSUM for onco-surgeries: Does one suit fits all!

Authors:  Rakesh Garg; Kanika Rustagi
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2022-04-25

4.  Validation of the ACS NSQIP Surgical Risk Calculator for Patients with Early Gastric Cancer Treated with Laparoscopic Gastrectomy.

Authors:  Saleh M Alzahrani; Chang Seok Ko; Moon-Won Yoo
Journal:  J Gastric Cancer       Date:  2020-09-03       Impact factor: 3.720

5.  APACHE II score cannot predict successful weaning from prolonged mechanical ventilation.

Authors:  Anna Rojek-Jarmuła; Rainer Hombach; Łukasz J Krzych
Journal:  Chron Respir Dis       Date:  2017-02-24       Impact factor: 2.444

6.  The statistical importance of P-POSSUM scores for predicting mortality after emergency laparotomy in geriatric patients.

Authors:  Yang Cao; Gary A Bass; Rebecka Ahl; Arvid Pourlotfi; Håkan Geijer; Scott Montgomery; Shahin Mohseni
Journal:  BMC Med Inform Decis Mak       Date:  2020-05-07       Impact factor: 2.796

7.  Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study.

Authors:  Huanmin Xing; Wendie Zhou; Yuying Fan; Taoxue Wen; Xiaohui Wang; Guangming Chang
Journal:  BMJ Open       Date:  2019-11-12       Impact factor: 2.692

Review 8.  Preoperative predictors of postoperative complications after gastric cancer resection.

Authors:  Mitsuro Kanda
Journal:  Surg Today       Date:  2019-09-18       Impact factor: 2.549

Review 9.  Hierarchical regression of ASA prediction model in predicting mortality prior to performing emergency laparotomy a systematic review.

Authors:  Muzina Akhtar; Douglas J Donnachie; Zohaib Siddiqui; Norman Ali; Mallikarjuna Uppara
Journal:  Ann Med Surg (Lond)       Date:  2020-12-08

10.  Development and validation of grade-based prediction models for postoperative morbidity in gastric cancer resection using a Japanese web-based nationwide registry.

Authors:  Yoshio Haga; Hiroaki Miyata; Akira Tsuburaya; Mitsukazu Gotoh; Kazuhiro Yoshida; Hiroyuki Konno; Yasuyuki Seto; Yoshiyuki Fujiwara; Hideo Baba
Journal:  Ann Gastroenterol Surg       Date:  2019-06-20
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