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Published in: Journal of Gastrointestinal Surgery 8/2009

01-08-2009 | Review Article

A Review of Risk Scoring Systems Utilised in Patients Undergoing Gastrointestinal Surgery

Authors: Aninda Chandra, Sudhakar Mangam, Deya Marzouk

Published in: Journal of Gastrointestinal Surgery | Issue 8/2009

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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.
Literature
1.
go back to reference National Institute for Health and Clinical Excellence. Acutely ill patients in hospital: recognition of and response to acute illness in adults in hospital. London: National Institute for Health and Clinical Excellence; 2007. National Institute for Health and Clinical Excellence. Acutely ill patients in hospital: recognition of and response to acute illness in adults in hospital. London: National Institute for Health and Clinical Excellence; 2007.
2.
go back to reference Cuthbertson BH, Webster NR. The role of the intensive care unit in the management of the critically ill surgical patient. J R Coll Surg Edinb. 1999;44(5):294–300.PubMed Cuthbertson BH, Webster NR. The role of the intensive care unit in the management of the critically ill surgical patient. J R Coll Surg Edinb. 1999;44(5):294–300.PubMed
4.
go back to reference Hartley MN, Sagar PM. The surgeon's 'gut feeling' as a predictor of post-operative outcome. Ann R Coll Surg Engl. 1994;76(Suppl(6)):277–278.PubMed Hartley MN, Sagar PM. The surgeon's 'gut feeling' as a predictor of post-operative outcome. Ann R Coll Surg Engl. 1994;76(Suppl(6)):277–278.PubMed
8.
go back to reference Mak PH, Campbell RC, Irwin MG. American Society of Anesthesiologists. The ASA Physical Status Classification: inter-observer consistency. American Society of Anesthesiologists. Anaesth Intensive Care. 2002;30(5):633–640.PubMed Mak PH, Campbell RC, Irwin MG. American Society of Anesthesiologists. The ASA Physical Status Classification: inter-observer consistency. American Society of Anesthesiologists. Anaesth Intensive Care. 2002;30(5):633–640.PubMed
9.
go back to reference Wolters U, Wolf T, Stutzer H, Schroder T. ASA classification and perioperative variables as predictors of post-operative outcome. Br J Anaesth. 1996;77(2):217–222.PubMed Wolters U, Wolf T, Stutzer H, Schroder T. ASA classification and perioperative variables as predictors of post-operative outcome. Br J Anaesth. 1996;77(2):217–222.PubMed
12.
go back to reference Neary WD, Prytherch DR, Foy C, Heather BP, Earnshaw JJ. Comparison of different methods of risk stratification in urgent and emergency surgery. Br J Surg. 2007;94(10):1300–1305. doi:10.1002/bjs.5809.CrossRefPubMed Neary WD, Prytherch DR, Foy C, Heather BP, Earnshaw JJ. Comparison of different methods of risk stratification in urgent and emergency surgery. Br J Surg. 2007;94(10):1300–1305. doi:10.​1002/​bjs.​5809.CrossRefPubMed
13.
go back to reference Goldman L, Caldera DL, Nussbaum SR, Southwick FS, Krogstad D, Murray B, et al. Multifactorial index of cardiac risk in noncardiac surgical procedures. N Engl J Med. 1977;297(16):845–850.PubMed Goldman L, Caldera DL, Nussbaum SR, Southwick FS, Krogstad D, Murray B, et al. Multifactorial index of cardiac risk in noncardiac surgical procedures. N Engl J Med. 1977;297(16):845–850.PubMed
14.
go back to reference Detsky AS, Abrams HB, McLaughlin JR, Drucker DJ, Sasson Z, Johnston N, et al. Predicting cardiac complications in patients undergoing non-cardiac surgery. J Gen Intern Med. 1986;1(4):211–219. doi:10.1007/BF02596184.CrossRefPubMed Detsky AS, Abrams HB, McLaughlin JR, Drucker DJ, Sasson Z, Johnston N, et al. Predicting cardiac complications in patients undergoing non-cardiac surgery. J Gen Intern Med. 1986;1(4):211–219. doi:10.​1007/​BF02596184.CrossRefPubMed
15.
go back to reference Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100(10):1043–1049.PubMed Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100(10):1043–1049.PubMed
16.
go back to reference Halm EA, Browner WS, Tubau JF, Tateo IM, Mangano DT. Echocardiography for assessing cardiac risk in patients having noncardiac surgery. Study of Perioperative Ischemia Research Group. Ann Intern Med. 1996;125(6):433–441.PubMed Halm EA, Browner WS, Tubau JF, Tateo IM, Mangano DT. Echocardiography for assessing cardiac risk in patients having noncardiac surgery. Study of Perioperative Ischemia Research Group. Ann Intern Med. 1996;125(6):433–441.PubMed
17.
go back to reference Rohde LE, Polanczyk CA, Goldman L, Cook EF, Lee RT, Lee TH. Usefulness of transthoracic echocardiography as a tool for risk stratification of patients undergoing major noncardiac surgery. Am J Cardiol. 2001;87(5):505–509. doi:10.1016/S0002-9149(00)01421-1.CrossRefPubMed Rohde LE, Polanczyk CA, Goldman L, Cook EF, Lee RT, Lee TH. Usefulness of transthoracic echocardiography as a tool for risk stratification of patients undergoing major noncardiac surgery. Am J Cardiol. 2001;87(5):505–509. doi:10.​1016/​S0002-9149(00)01421-1.CrossRefPubMed
19.
go back to reference Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE. APACHE-acute physiology and chronic health evaluation: a physiologically based classification system. Crit Care Med. 1981;9(8):591–7.PubMed Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE. APACHE-acute physiology and chronic health evaluation: a physiologically based classification system. Crit Care Med. 1981;9(8):591–7.PubMed
21.
go back to reference Goffi L, Saba V, Ghiselli R, Necozione S, Mattei A, Carle F. Preoperative APACHE II and ASA scores in patients having major general surgical operations: prognostic value and potential clinical applications. Eur J Surg. 1999;165(8):730–735. doi:10.1080/11024159950189483.CrossRefPubMed Goffi L, Saba V, Ghiselli R, Necozione S, Mattei A, Carle F. Preoperative APACHE II and ASA scores in patients having major general surgical operations: prognostic value and potential clinical applications. Eur J Surg. 1999;165(8):730–735. doi:10.​1080/​1102415995018948​3.CrossRefPubMed
23.
go back to reference Beck DH, Taylor BL, Millar B, Smith GB. Prediction of outcome from intensive care: a prospective cohort study comparing Acute Physiology and Chronic Health Evaluation II and III prognostic systems in a United Kingdom intensive care unit. Crit Care Med. 1997;25(1):9–15. doi:10.1097/00003246-199701000-00006.CrossRefPubMed Beck DH, Taylor BL, Millar B, Smith GB. Prediction of outcome from intensive care: a prospective cohort study comparing Acute Physiology and Chronic Health Evaluation II and III prognostic systems in a United Kingdom intensive care unit. Crit Care Med. 1997;25(1):9–15. doi:10.​1097/​00003246-199701000-00006.CrossRefPubMed
28.
go back to reference Capuzzo M, Valpondi V, Sgarbi A, Bortolazzi S, Pavoni V, Gilli G, et al. Validation of severity scoring systems SAPS II and APACHE II in a single-center population. Intensive Care Med. 2000;26(12):1779–1785. doi:10.1007/s001340000715.CrossRefPubMed Capuzzo M, Valpondi V, Sgarbi A, Bortolazzi S, Pavoni V, Gilli G, et al. Validation of severity scoring systems SAPS II and APACHE II in a single-center population. Intensive Care Med. 2000;26(12):1779–1785. doi:10.​1007/​s001340000715.CrossRefPubMed
29.
go back to reference Metnitz PG, Valentin A, Vesely H, Alberti C, Lang T, Lenz K, et al. Hiesmayr M. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Simplified Acute Physiology Score. Intensive Care Med. 1999;25(2):192–197. doi:10.1007/s001340050815.CrossRefPubMed Metnitz PG, Valentin A, Vesely H, Alberti C, Lang T, Lenz K, et al. Hiesmayr M. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Simplified Acute Physiology Score. Intensive Care Med. 1999;25(2):192–197. doi:10.​1007/​s001340050815.CrossRefPubMed
30.
go back to reference Le Gall JR, Neumann A, Hemery F, Bleriot JP, Fulgencio JP, Garrigues B, et al. Mortality prediction using SAPS II: an update for French intensive care units. Crit Care. 2005;9(6):R645–R652. doi:10.1186/cc3821.CrossRefPubMed Le Gall JR, Neumann A, Hemery F, Bleriot JP, Fulgencio JP, Garrigues B, et al. Mortality prediction using SAPS II: an update for French intensive care units. Crit Care. 2005;9(6):R645–R652. doi:10.​1186/​cc3821.CrossRefPubMed
31.
go back to reference Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005;31(10):1345–1355. doi:10.1007/s00134-005-2763-5.CrossRefPubMed Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005;31(10):1345–1355. doi:10.​1007/​s00134-005-2763-5.CrossRefPubMed
35.
go back to reference Teres D, Lemeshow S, Avrunin JS, Pastides H. Validation of the mortality prediction model for ICU patients. Crit Care Med. 1987;15(3):208–213.PubMedCrossRef Teres D, Lemeshow S, Avrunin JS, Pastides H. Validation of the mortality prediction model for ICU patients. Crit Care Med. 1987;15(3):208–213.PubMedCrossRef
41.
go back to reference Lagarde SM, Maris AK, de Castro SM, Busch OR, Obertop H, van Lanschot JJ. Evaluation of O-POSSUM in predicting in-hospital mortality after resection for oesophageal cancer. Br J Surg. 2007;94(12):1521–1526. doi:10.1002/bjs.5850.CrossRefPubMed Lagarde SM, Maris AK, de Castro SM, Busch OR, Obertop H, van Lanschot JJ. Evaluation of O-POSSUM in predicting in-hospital mortality after resection for oesophageal cancer. Br J Surg. 2007;94(12):1521–1526. doi:10.​1002/​bjs.​5850.CrossRefPubMed
42.
go back to reference Tekkis PP, McCulloch P, Poloniecki JD, Prytherch DR, Kessaris N, Steger AC. Risk-adjusted prediction of operative mortality in oesophagogastric surgery with O-POSSUM. Br J Surg. 2004;91(3):288–895. doi:10.1002/bjs.4414.CrossRefPubMed Tekkis PP, McCulloch P, Poloniecki JD, Prytherch DR, Kessaris N, Steger AC. Risk-adjusted prediction of operative mortality in oesophagogastric surgery with O-POSSUM. Br J Surg. 2004;91(3):288–895. doi:10.​1002/​bjs.​4414.CrossRefPubMed
43.
go back to reference Senagore AJ, Warmuth AJ, Delaney CP, Tekkis PP, Fazio VW. POSSUM, p-POSSUM, and Cr-POSSUM: implementation issues in a United States health care system for prediction of outcome for colon cancer resection. Dis Colon Rectum. 2004;47(9):1435–1441.PubMed Senagore AJ, Warmuth AJ, Delaney CP, Tekkis PP, Fazio VW. POSSUM, p-POSSUM, and Cr-POSSUM: implementation issues in a United States health care system for prediction of outcome for colon cancer resection. Dis Colon Rectum. 2004;47(9):1435–1441.PubMed
46.
47.
go back to reference Haga Y, Ikei S, Wada Y, Takeuchi H, Sameshima H, Kimura O, et al. Evaluation of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict post-operative risk: a multicenter prospective study. Surg Today. 2001;31(7):569–574. doi:10.1007/s005950170088.CrossRefPubMed Haga Y, Ikei S, Wada Y, Takeuchi H, Sameshima H, Kimura O, et al. Evaluation of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict post-operative risk: a multicenter prospective study. Surg Today. 2001;31(7):569–574. doi:10.​1007/​s005950170088.CrossRefPubMed
49.
go back to reference Oka Y, Nishijima J, Oku K, Azuma T, Inada K, Miyazaki S, et al. Usefulness of an estimation of physiologic ability and surgical stress (E-PASS) scoring system to predict the incidence of post-operative complications in gastrointestinal surgery. World J Surg. 2005;29(8):1029–1033. doi:10.1007/s00268-005-7719-y.CrossRefPubMed Oka Y, Nishijima J, Oku K, Azuma T, Inada K, Miyazaki S, et al. Usefulness of an estimation of physiologic ability and surgical stress (E-PASS) scoring system to predict the incidence of post-operative complications in gastrointestinal surgery. World J Surg. 2005;29(8):1029–1033. doi:10.​1007/​s00268-005-7719-y.CrossRefPubMed
50.
go back to reference Khuri SF, Daley J, Henderson W, Hur K, Gibbs JO, Barbour G, et al. Risk adjustment of the post-operative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. J Am Coll Surg. 1997;185(4):315–327.PubMed Khuri SF, Daley J, Henderson W, Hur K, Gibbs JO, Barbour G, et al. Risk adjustment of the post-operative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. J Am Coll Surg. 1997;185(4):315–327.PubMed
57.
go back to reference Hall JC, Hall JL. ASA status and age predict adverse events after abdominal surgery. J Qual Clin Pract. 1996;16(2):103–108.PubMed Hall JC, Hall JL. ASA status and age predict adverse events after abdominal surgery. J Qual Clin Pract. 1996;16(2):103–108.PubMed
Metadata
Title
A Review of Risk Scoring Systems Utilised in Patients Undergoing Gastrointestinal Surgery
Authors
Aninda Chandra
Sudhakar Mangam
Deya Marzouk
Publication date
01-08-2009
Publisher
Springer-Verlag
Published in
Journal of Gastrointestinal Surgery / Issue 8/2009
Print ISSN: 1091-255X
Electronic ISSN: 1873-4626
DOI
https://doi.org/10.1007/s11605-009-0857-z

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