|
Activity Number:
|
323
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Biopharmaceutical Section
|
| Abstract - #310124 |
|
Title:
|
The SYNTAX Score: Development of a Predictive Scoring Algorithm To Determine Treatment Assignment in Complex Coronary Patients
|
|
Author(s):
|
Eric Bass*+ and Peggy Pereda
|
|
Companies:
|
Boston Scientific Corporation and Boston Scientific Corporation
|
|
Address:
|
1400 Hamline Avenue, St. Paul, MN, 55112,
|
|
Keywords:
|
Predictive Modeling ; Logistic Regression
|
|
Abstract:
|
The primary goal of the current trial is to assess the optimal revascularization treatment for patients with de novo three-vessel (3VD) or left main (LM) coronary artery disease by randomizing patients to either percutaneous coronary intervention (PCI) with drug eluting stent (DES) or coronary artery bypass grafting (CABG). An additional objective of the trial is to develop a SYNTAX Score by defining a combination of clinical risk factors and angiographic/anatomical characteristics that most closely predict the patient's probability of having a Major Adverse Cardiac and Cerebrovascular Event (MACCE) up to 1 year. From these parameters a risk score will be derived. Univariate logistic regression and proportional hazard modeling methods will be examined. Additionally, multivariate logistic regression and proportional hazard modeling will be conducted with multiple selection methods.
|