SYNTAX score II predicts long-term mortality in patients with one- or two-vessel disease
Publication year
2018Source
PLoS One, 13, 7, (2018), article e0200076ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Cardiology
Journal title
PLoS One
Volume
vol. 13
Issue
iss. 7
Subject
Radboudumc 16: Vascular damage RIHS: Radboud Institute for Health SciencesAbstract
OBJECTIVE: SYNTAX score II (SSII) is a long-term mortality prediction model to guide the decision making of the heart-team between coronary artery bypass grafting or percutaneous coronary intervention (PCI) in patients with left main or three-vessel coronary artery disease. This study aims to investigate the long-term predictive value of SSII for all-cause mortality in patients with one- or two-vessel disease undergoing PCI. METHODS: A total of 628 patients (76% men, mean age: 61+/-10 years) undergoing PCI due to stable angina pectoris (43%) or acute coronary syndrome (57%), included between January 2008 and June 2013, were eligible for the current study. SSII was calculated using the original SYNTAX score website (www.syntaxscore.com). Cox regression analysis was used to assess the association between continuous SSII and long-term all-cause mortality. The area under the receiver-operating characteristic curve was used to assess the performance of SSII. RESULTS: SSII ranged from 6.6 to 58.2 (median: 20.4, interquartile range: 16.1-26.8). In multivariable analysis, SSII proved to be an independent significant predictor for 4.5-year mortality (hazard ratio per point increase: 1.10; 95% confidence interval: 1.07-1.13; p<0.001). In terms of discrimination, SSII had a concordance index of 0.77. CONCLUSION: In addition to its established value in patients with left main and three-vessel disease, SSII may also predict long-term mortality in PCI-treated patients with one- or two-vessel disease.
This item appears in the following Collection(s)
- Academic publications [226841]
- Electronic publications [108452]
- Faculty of Medical Sciences [86405]
- Open Access publications [77617]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.