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Stratification of complexity: The Risk Adjustment for Congenital Heart Surgery-1 Method and The Aristotle Complexity Score – past, present, and future

Part of: The International Society for Nomenclature of Paediatric and Congenital Heart Disease (ISNPCHD)

Published online by Cambridge University Press:  01 December 2008

Marshall Lewis Jacobs ,
Jeffrey Phillip Jacobs ,
Kathy J. Jenkins ,
Kimberlee Gauvreau ,
David R. Clarke  and
Francois Lacour-Gayet
Marshall Lewis Jacobs*
Affiliation:
Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
Jeffrey Phillip Jacobs
Affiliation:
The Congenital Heart Institute of Florida (CHIF), Division of Thoracic and Cardiovascular Surgery, All Children’s Hospital and Children’s Hospital of Tampa, University of South Florida College of Medicine, Cardiac Surgical Associates (CSA), Saint Petersburg and Tampa, Florida, United States of America
Kathy J. Jenkins
Affiliation:
Children’s Hospital Boston, Harvard Medical School, Boston, Massachusetts, United States of America
Kimberlee Gauvreau
Affiliation:
Children’s Hospital Boston, Harvard Medical School, Boston, Massachusetts, United States of America
David R. Clarke
Affiliation:
The Children’s Hospital, University of Colorado School of Medicine, Denver, Colorado, United States of America
Francois Lacour-Gayet
Affiliation:
The Children’s Hospital, University of Colorado School of Medicine, Denver, Colorado, United States of America
*
Correspondence to: Marshall Lewis Jacobs, MD, 6019 Goshen Road, Newtown Square, Pennsylvania 19073, United States of America. Tel: 001-610 356 2615; Fax: 001-610 356 2880; E-mail: [email protected]
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Abstract

Meaningful evaluation of quality of care must account for variations in the population of patients receiving treatment, or “case-mix”. In adult cardiac surgery, empirical clinical data, initially from tens of thousands, and more recently hundreds of thousands of operations, have been used to develop risk-models, to increase the accuracy with which the outcome of a given procedure on a given patient can be predicted, and to compare outcomes on non-identical patient groups between centres, surgeons and eras.

In the adult cardiac database of The Society of Thoracic Surgeons, algorithms for risk-adjustment are based on over 1.5 million patients undergoing isolated coronary artery bypass grafting and over 100,000 patients undergoing isolated replacement of the aortic valve or mitral valve. In the pediatric and congenital cardiac database of The Society of Thoracic Surgeons, 61,014 operations are spread out over greater than 100 types of primary procedures. The problem of evaluating quality of care in the management of pediatric patients with cardiac diseases is very different, and in some ways a great deal more challenging, because of the smaller number of patients and the higher number of types of operations.

In the field of pediatric cardiac surgery, the importance of the quantitation of the complexity of operations centers on the fact that outcomes analysis using raw measurements of mortality, without adjustment for complexity, is inadequate. Case-mix can vary greatly from program to program. Without stratification of complexity, the analysis of outcomes for congenital cardiac surgery will be flawed. Two major multi-institutional efforts have attempted to measure the complexity of pediatric cardiac operations: the Risk Adjustment in Congenital Heart Surgery-1 method and the Aristotle Complexity Score. Both systems were derived in large part from subjective probability, or expert opinion. Both systems are currently in wide use throughout the world and have been shown to correlate reasonably well with outcome.

Efforts are underway to develop the next generation of these systems. The next generation will be based more on objective data, but will continue to utilize subjective probability where objective data is lacking. A goal, going forward, is to re-evaluate and further refine these tools so that, they can be, to a greater extent, derived from empirical data. During this process, ideally, the mortality elements of both the Aristotle Complexity Score and the Risk Adjustment in Congenital Heart Surgery-1 methodology will eventually unify and become one and the same. This review article examines these two systems of stratification of complexity and reviews the rationale for the development of each system, the current use of each system, the plans for future enhancement of each system, and the potential for unification of these two tools.

Keywords

Congenital heart diseasepatient safetycomplicationssurgical outcomesregistrydatabase
Type
Original Article
Information
Cardiology in the Young , Volume 18 , Issue S2: Databases and the assessment of complications associated with the treatment of patients with congenital cardiac disease , December 2008 , pp. 163 - 168
Copyright
Copyright © Cambridge University Press 2008

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References

1.Shahian, DM, Blackstone, EH, Edwards, FH, et al. ; STS Workforce on evidence-based surgery. Cardiac surgery risk models: a position article. Ann Thorac Surg 2004; 78: 1868–1877.CrossRefGoogle ScholarPubMed
2.Ferguson, TB Jr, Hammill, BG, Peterson, ED, DeLong, ER, Grover, FL. A decade of change—risk profiles and outcomes for isolated coronary artery bypass grafting procedures, 1990–99: a report from the STS National Database Committee and Duke Clinical Research Institute. Society of Thoracic Surgeons. Ann Thorac Surg 2002; 73: 480–489.CrossRefGoogle Scholar
3.Mavroudis, C, Jacobs, JP. Congenital Heart Surgery Nomenclature and Database Project: overview and minimum dataset. Ann Thorac Surg 2000; 69 (4 Suppl): S2–17.CrossRefGoogle ScholarPubMed
4.Shroyer, AL, Coombs, LP, Peterson, ED, et al. The Society of Thoracic Surgeons: 30-day operative mortality and morbidity risk models. Ann Thorac Surg 2003; 75: 1856–1864; discussion 1864–5.CrossRefGoogle Scholar
5.Welke, KF, Shen, I, Ungerleider, RM. Current assessment of mortality rates in congenital cardiac surgery. Ann Thorac Surg 2006; 82: 164–171.CrossRefGoogle ScholarPubMed
6.Jenkins, KJ, Gauvreau, K, Newburger, JW, Spray, TL, Moller, JH, Iezzoni, LI. Consensus-based method for risk adjustment for surgery for congenital heart disease. J Thorac Cardiovasc Surg 2002; 123: 110–118.CrossRefGoogle ScholarPubMed
7.Jenkins, KJ, Gauvreau, K. Center-specific differences in mortality: preliminary analyses using the Risk Adjustment in Congenital Heart Surgery (RACHS-1) method. J Thorac Cardiovasc Surg 2002; 124: 97–104.CrossRefGoogle ScholarPubMed
8.Jenkins, KJ. Risk adjustment for congenital heart surgery: the RACHS-1 method. Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu 2004; 7: 180–184.CrossRefGoogle ScholarPubMed
9.Boethig, D, Jenkins, KJ, Hecker, H, Thies, WR, Breymann, T. The RACHS-1 risk categories reflect mortality and length of hospital stay in a large German pediatric cardiac surgery population. Eur J Cardiothorac Surg 2004; 26: 12–17.CrossRefGoogle Scholar
10.Larsen, SH, Pedersen, J, Jacobsen, J, Johnson, SP, Hansen, OK, Hjortdal, V. The RACHS-1 risk categories reflect mortality and length of stay in a Danish population of children operated for congenital heart disease. Eur J Cardiothrac Surg 2005; 28: 877–881.CrossRefGoogle Scholar
11.Allen, SW, Gauvreau, K, Bloom, BT, Jenkins, KJ. Evidence-based referral results in significantly reduced mortality after congenital heart surgery. Pediatrics 2003; 112 (1 Pt 1): 24–28.CrossRefGoogle ScholarPubMed
12.Jacobs, JP, Jacobs, ML, Mavroudis, C, Lacour-Gayet, FG, Tchervenkov, CI. Executive Summary: The Society of Thoracic Surgeons Congenital Heart Surgery Database – Seventh Harvest – (2003–2006). The Society of Thoracic Surgeons (STS) and Duke Clinical Research Institute (DCRI), Duke University Medical Center, Durham, North Carolina, United States, Spring 2007 Harvest.Google Scholar
13.Lacour-Gayet, FG, Clarke, D, Jacobs, JP, et al. , and the Aristotle Committee. The Aristotle Score: A Complexity-Adjusted Method to Evaluate Surgical Results. Eur J Cardiothorac Surg 2004; 25: 911–924.CrossRefGoogle Scholar
14.Lacour-Gayet, F, Clarke, D, Jacobs, J, et al. ; Aristotle Committee. The Aristotle score for congenital heart surgery. Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu 2004; 7: 185–191.CrossRefGoogle ScholarPubMed
15.Jacobs, JP, Lacour-Gayet, FG, Jacobs, ML, et al. Initial application in the STS congenital database of complexity adjustment to evaluate surgical case mix and results. Ann Thorac Surg 2005; 79: 1635–1649.CrossRefGoogle ScholarPubMed
16.Lacour-Gayet, F, Jacobs, JP, Clarke, DR, et al. Evaluation of the quality of care in congenital heart surgery: contribution of the Aristotle Complexity Score. In: Kappy, MS (editor-in-chief). Advances in Pediatrics, Vol. 54. Elsevier, Inc., Philadelphia, PA, 2007, pp 68–81.Google Scholar
17.O’Brien, SM, Jacobs, JP, Clarke, DR, et al. Accuracy of the Aristotle Basic Complexity Score for classifying the mortality and morbidity potential of congenital heart surgery operations. Ann Thorac Surg 2007; 84: 2027–2037.CrossRefGoogle ScholarPubMed
18.Sinzobahamvya, N, Photiadis, J, Kumpikaite, D, et al. Comprehensive Aristotle score: implications for the Norwood procedure. Ann Thorac Surg 2006; 81: 1794–1800.CrossRefGoogle ScholarPubMed
19.Miyamoto, T, Sinzobahamvya, N, Kumpikaite, D, et al. Repair of truncus arteriosus and aortic arch interruption: outcome analysis. Ann Thorac Surg 2005; 79: 2077–2082.CrossRefGoogle ScholarPubMed
20.Atrip, JH, Campbell, DN, Ivy, DD, et al. Birth weight and complexity are significant factors for the management of hypoplastic left heart syndrome. Ann Thorac Surg 2006; 82: 1252–1257; discussion 1258–9.CrossRefGoogle Scholar
21.Derby, CD, Kolcz, J, Kerins, PJ, Duncan, DR, Quezada, E, Pizarro, C. Aristotle score predicts outcome in patients requiring extracorporeal circulatory support following repair of congenital heart disease. ASAIO J 2007; 53: 82–86.CrossRefGoogle ScholarPubMed