作者
Daniel Lindholm, Johan Lindbäck, Paul W Armstrong, Andrzej Budaj, Christopher P Cannon, Christopher B Granger, Emil Hagström, Claes Held, Wolfgang Koenig, Ollie Östlund, Ralph AH Stewart, Joseph Soffer, Harvey D White, Robbert J De Winter, Philippe Gabriel Steg, Agneta Siegbahn, Marcus E Kleber, Alexander Dressel, Tanja B Grammer, Winfried Maerz, Lars Wallentin
发表日期
2017/8/15
期刊
Journal of the American College of Cardiology
卷号
70
期号
7
页码范围
813-826
出版商
American College of Cardiology Foundation
简介
Background
Currently, there is no generally accepted model to predict outcomes in stable coronary heart disease (CHD).
Objectives
This study evaluated and compared the prognostic value of biomarkers and clinical variables to develop a biomarker-based prediction model in patients with stable CHD.
Methods
In a prospective, randomized trial cohort of 13,164 patients with stable CHD, we analyzed several candidate biomarkers and clinical variables and used multivariable Cox regression to develop a clinical prediction model based on the most important markers. The primary outcome was cardiovascular (CV) death, but model performance was also explored for other key outcomes. It was internally bootstrap validated, and externally validated in 1,547 patients in another study.
Results
During a median follow-up of 3.7 years, there were 591 cases of CV death. The 3 most important biomarkers were N-terminal pro–B …
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D Lindholm, J Lindbäck, PW Armstrong, A Budaj… - Journal of the American College of Cardiology, 2017