A scoring model is a mathematical model that forms the basis for risk stratification. Scoring models generally arise from clinical studies in which statistical methods (e.g., chi square test, ROC curve) are applied to the data of a relevant population in order to identify parameters with a significant influence on the particular issue. Scoring models are either logistic models, in which the coincidence of several parameters leads to a higher risk, or summary models, in which the risks are simply added together. Commonly used risk models are EuroSCORE, Parsonnet, Ontario Province Score, and STS.
Published in Chapter:
Model Based Decision Making in Cardiac Surgery
Oskar Staudinger (University for Health Sciences, Med Informatics and Tech, Austria), Bettina Staudinger (University for Health Sciences, Med Informatics and Tech, Austria), Herwig Ostermann (University for Health Sciences, Med Informatics and Tech, Austria), Martin Grabenwöger (University of Vienna, Vienna, Austria), and Bernhard Tilg (University for Health Sciences, Med Informatics and Tech, Austria)
Copyright: © 2008
|Pages: 12
DOI: 10.4018/978-1-59904-881-9.ch094
Abstract
The development of models for risk stratification in cardiac surgery goes back a number of years. In 1989, the Society of Thoracic Surgeons (STS) created the first database version for use in the USA. In the year 2005 alone, the data from 234,532 operations were recorded in a structured way by 654 participating institutes. The value of these collected data is described by Ferguson (Ferguson, Dziuban, Edwards, Eiken, Shroyer, & Pairolero, 2000): “Because of their collective efforts, the goal to establish the STS National Data Base as a ‘gold standard’ worldwide for process and outcomes analysis related to cardiothoracic surgery is becoming a reality.” The number of research projects deriving from this is correspondingly large (The Society of Thoracic Surgeons National Database Access and Publications Task Force, 2006).