Literature DB >> 19319612

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

Aninda Chandra1, Sudhakar Mangam, Deya Marzouk.   

Abstract

INTRODUCTION: Adequate stratification and scoring of risk is essential to optimise clinical practice; the ability to predict operative mortality and morbidity is important. This review aims to outline the essential elements of available risk scoring systems in patients undergoing gastrointestinal surgery and their differences in order to enable effective utilisation.
METHODS: The English literature was searched over the last 50 years to provide an overview of systems pertaining to the adult surgical patient. DISCUSSION: Scoring systems can provide objectivity and mortality prediction enabling communication and understanding of severity of illness. Incorporating subjective factors within scoring systems can allow clinicians to apply their experience and understanding of the situation to an individual but are not reproducible. Limitations relating to obtaining variables, calculating predicted mortality and applicability were present in most systems. Over time scoring systems have become out-dated which may reflect continuing improvement in care. APACHE II shows the importance of reproducibility and comparability particularly when assessing critically ill patients. Both NSQIP in the USA and P-POSSUM in the UK seem to have many benefits which derive from their comprehensive dataset. The "Surgical Apgar" score offers relatively objective criteria which contrasts against the subjective nature of the ASA score.
CONCLUSION: P-POSSUM and NSQIP are comprehensive but are difficult to calculate. In the search for a simple and easy to calculate score, the "Surgical Apgar" score may be a potential answer. However, more studies need to be performed before it becomes as widely taken up as APACHE II, NSQIP and P-POSSUM.

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Year:  2009        PMID: 19319612     DOI: 10.1007/s11605-009-0857-z

Source DB:  PubMed          Journal:  J Gastrointest Surg        ISSN: 1091-255X            Impact factor:   3.452


  55 in total

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Journal:  QJM       Date:  2001-10

2.  Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study.

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3.  Echocardiography for assessing cardiac risk in patients having noncardiac surgery. Study of Perioperative Ischemia Research Group.

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Journal:  Ann Intern Med       Date:  1996-09-15       Impact factor: 25.391

4.  Predicting cardiac complications in patients undergoing non-cardiac surgery.

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5.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

6.  ASA physical status classifications: a study of consistency of ratings.

Authors:  W D Owens; J A Felts; E L Spitznagel
Journal:  Anesthesiology       Date:  1978-10       Impact factor: 7.892

7.  A new risk prediction model for critical care: the Intensive Care National Audit & Research Centre (ICNARC) model.

Authors:  David A Harrison; Gareth J Parry; James R Carpenter; Alasdair Short; Kathy Rowan
Journal:  Crit Care Med       Date:  2007-04       Impact factor: 7.598

8.  POSSUM, p-POSSUM, and Cr-POSSUM: implementation issues in a United States health care system for prediction of outcome for colon cancer resection.

Authors:  Anthony J Senagore; Anthony J Warmuth; Conor P Delaney; Paris P Tekkis; Victor W Fazio
Journal:  Dis Colon Rectum       Date:  2004-07-15       Impact factor: 4.585

9.  Surgical mortality score: risk management tool for auditing surgical performance.

Authors:  Vassilis G Hadjianastassiou; Paris P Tekkis; Jan D Poloniecki; Manolis C Gavalas; David R Goldhill
Journal:  World J Surg       Date:  2004-01-08       Impact factor: 3.352

10.  Utility of illness severity scoring for prediction of prolonged surgical critical care.

Authors:  P S Barie; L J Hydo; E Fischer
Journal:  J Trauma       Date:  1996-04
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  25 in total

1.  Development and cross-validation of the in-hospital mortality prediction in advanced cancer patients score: a preliminary study.

Authors:  David Hui; Kelly Kilgore; Bryan Fellman; Diana Urbauer; Stacy Hall; Julieta Fajardo; Wadih Rhondali; Jung Hun Kang; Egidio Del Fabbro; Donna Zhukovsky; Eduardo Bruera
Journal:  J Palliat Med       Date:  2012-06-04       Impact factor: 2.947

2.  The surgical apgar score predicts postoperative ICU admission.

Authors:  Nina E Glass; Antonio Pinna; Antonio Masi; Alan S Rosman; Dena Neihaus; Shunpei Okochi; John K Saunders; Ioannis Hatzaras; Steven Cohen; Russell Berman; Elliot Newman; H Leon Pachter; Thomas H Gouge; Marcovalerio Melis
Journal:  J Gastrointest Surg       Date:  2015-01-09       Impact factor: 3.452

3.  Decisions to operate: the ASA grade 5 dilemma.

Authors:  J Horwood; S Ratnam; A Maw
Journal:  Ann R Coll Surg Engl       Date:  2011-07       Impact factor: 1.891

4.  Evaluation of O-POSSUM vs ASA and APACHE II scores in patients undergoing oesophageal surgery.

Authors:  Raluca Fodor; Adrian Cioc; Bianca Grigorescu; Bogdan Lăzescu; Sanda Maria Copotoiu
Journal:  Rom J Anaesth Intensive Care       Date:  2015-04

5.  Surgical Apgar score predicts perioperative morbidity in patients undergoing pancreaticoduodenectomy at a high-volume center.

Authors:  M Mura Assifi; John Lindenmeyer; Benjamin E Leiby; Zvi Grunwald; Ernest L Rosato; Eugene P Kennedy; Charles J Yeo; Adam C Berger
Journal:  J Gastrointest Surg       Date:  2011-10-27       Impact factor: 3.452

6.  Safety of hepatectomy for elderly patients with hepatocellular carcinoma.

Authors:  Koichi Oishi; Toshiyuki Itamoto; Toshihiko Kohashi; Yasuhiro Matsugu; Hideki Nakahara; Mikiya Kitamoto
Journal:  World J Gastroenterol       Date:  2014-11-07       Impact factor: 5.742

7.  The surgical Apgar score is strongly associated with intensive care unit admission after high-risk intraabdominal surgery.

Authors:  Julia B Sobol; Hayley B Gershengorn; Hannah Wunsch; Guohua Li
Journal:  Anesth Analg       Date:  2013-06-06       Impact factor: 5.108

8.  Laparoscopic colorectal resection for cancer: effects of conversion on long-term oncologic outcomes.

Authors:  Matteo Rottoli; Luca Stocchi; Dan P Geisler; Ravi P Kiran
Journal:  Surg Endosc       Date:  2012-01-12       Impact factor: 4.584

9.  Complications in colorectal surgery: risk factors and preventive strategies.

Authors:  Philipp Kirchhoff; Pierre-Alain Clavien; Dieter Hahnloser
Journal:  Patient Saf Surg       Date:  2010-03-25

10.  Innovative bridging of the rural-urban divide: comparison of scope, safety, and impact of collaborative rural surgery camps and an urban surgical program.

Authors:  Janeil M Belle; Rani A Bang; Dhananjay Kelkar; Truls Østbye; Sandhya A Lagoo-Deenadayalan
Journal:  World J Surg       Date:  2015-04       Impact factor: 3.352

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