Literature DB >> 33623999

Prediction of recurrent event in patients with coronary heart disease: the EUROASPIRE Risk Model.

Dirk De Bacquer1, Peter Ueda2,3, Željko Reiner3, Johan De Sutter4,5, Delphine De Smedt1, Dragan Lovic6, Nina Gotcheva7, Zlatko Fras8,9, Nana Pogosova10, Erkin Mirrakhimov11,12, Seppo Lehto13, Tomas Jernberg14, Kornelia Kotseva15,16, Lars Rydén2, David Wood15,16, Guy De Backer1.   

Abstract

AIMS: Most patients with established atherosclerotic cardiovascular disease (CVD) are at very high risk for developing recurrent events. Since this risk varies a lot between patients there is a need to identify those in whom an even more intensive secondary prevention strategy should be envisaged. Using data from the EUROASPIRE IV and V cohorts of coronary heart disease (CHD) patients from 27 European countries, we aimed at developing and internally and externally validating a risk model predicting recurrent CVD events in patients aged < 75 years. METHODS AND
RESULTS: Prospective data were available for 12 484 patients after a median follow-up time of 1.7 years. The primary endpoint, a composite of fatal CVD or new hospitalizations for non-fatal myocardial infarction (MI), stroke, heart failure, coronary artery bypass graft, or percutaneous coronary intervention (PCI), occurred in 1424 patients. The model was developed based on data from 8000 randomly selected patients in whom the association between potential risk factors and the incidence of the primary endpoint was investigated. This model was then validated in the remaining 4484 patients. The final multivariate model revealed a higher risk for the primary endpoint with increasing age, a previous hospitalization for stroke, heart failure or PCI, a previous diagnosis of peripheral artery disease, self-reported diabetes and its glycaemic control, higher non-high-density lipoprotein cholesterol, reduced renal function, symptoms of depression and anxiety and living in a higher risk country. The model demonstrated excellent internal validity and proved very adequate in the validation cohort. Regarding external validity, the model demonstrated good discriminative ability in 20 148 MI patients participating in the SWEDEHEART register. Finally, we developed a risk calculator to estimate risks at 1 and 2 years for patients with stable CHD.
CONCLUSION: In patients with CHD, fatal and non-fatal rates of recurrent CVD events are high. However, there are still opportunities to optimize their management in order to prevent further disease or death. The EUROASPIRE Risk Calculator may be of help to reach this goal. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Coronary heart disease; Patient management; Recurrent events; Risk

Mesh:

Year:  2022        PMID: 33623999     DOI: 10.1093/eurjpc/zwaa128

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  3 in total

Review 1.  Risk Prediction of Cardiovascular Events by Exploration of Molecular Data with Explainable Artificial Intelligence.

Authors:  Annie M Westerlund; Johann S Hawe; Matthias Heinig; Heribert Schunkert
Journal:  Int J Mol Sci       Date:  2021-09-24       Impact factor: 5.923

2.  Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm.

Authors:  Steven H J Hageman; Ailsa J McKay; Peter Ueda; Laura H Gunn; Tomas Jernberg; Emil Hagström; Deepak L Bhatt; Ph Gabriel Steg; Kristi Läll; Reedik Mägi; Mari Nordbø Gynnild; Hanne Ellekjær; Ingvild Saltvedt; José Tuñón; Ignacio Mahíllo; Álvaro Aceña; Karol Kaminski; Malgorzata Chlabicz; Emilia Sawicka; Taavi Tillman; John W McEvoy; Emanuele Di Angelantonio; Ian Graham; Dirk De Bacquer; Kausik K Ray; Jannick A N Dorresteijn; Frank L J Visseren
Journal:  Eur Heart J       Date:  2022-05-07       Impact factor: 35.855

3.  Fear of recurrence in elderly patients with coronary heart disease: the current situation and influencing factors according to a questionnaire analysis.

Authors:  Jing Zhen; Jing Wang; Yi-Lin Wang; Jin Jiao; Jing Li; Xiao-Jing Du; Yan-Ling Li
Journal:  BMC Cardiovasc Disord       Date:  2022-09-21       Impact factor: 2.174

  3 in total

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