Marta Gigli,Job A J Verdonschot,Pablo Garcia-Pavia,Davide Stolfo,Lorenzo Monserrat,Sanjay Prasad,Andrea Mazzanti,Folkert W Asselbergs,Barbara Bauce,Philippe Charron,Dana Dawson,Brian P Halliday,Luisa Mestroni,Petar Seferovic,Upasana Tayal,Maria Teresa Tome Esteban,Peter Van Tintelen,Stephane Heymans,Antonis Pantazis,Marco Metra,Gianfranco Sinagra
{"title":"心力衰竭和遗传性扩张型心肌病患者致心律失常风险评分的未来发展。ESC心力衰竭协会的科学声明。","authors":"Marta Gigli,Job A J Verdonschot,Pablo Garcia-Pavia,Davide Stolfo,Lorenzo Monserrat,Sanjay Prasad,Andrea Mazzanti,Folkert W Asselbergs,Barbara Bauce,Philippe Charron,Dana Dawson,Brian P Halliday,Luisa Mestroni,Petar Seferovic,Upasana Tayal,Maria Teresa Tome Esteban,Peter Van Tintelen,Stephane Heymans,Antonis Pantazis,Marco Metra,Gianfranco Sinagra","doi":"10.1002/ejhf.70042","DOIUrl":null,"url":null,"abstract":"The risk of sudden cardiac death (SCD) in the general population of patients with dilated cardiomyopathy (DCM) has progressively declined with the implementation of novel medical strategies. However, still cases occur in young individuals and the challenge of risk stratification remains unsolved. Traditional criteria, including left ventricular ejection fraction, have demonstrated their profound weakness to identify subjects at high risk of SCD in this specific context. The increasing availability of genetic information has allowed identification of certain genotypes with a high arrhythmic risk that deserve a more individualized approach. Recent European guidelines recognized the contribution of genetic information in clinical decision-making. Gene-specific risk stratification tools have been developed, and in some cases externally validated, which can support clinicians in the decisions on SCD primary prevention interventions. However, they are generally based on basic variables, whereas the growing amount of knowledge on novel methods for risk prediction, and in particular the solid data on the predictive value of cardiac magnetic resonance tissue characterization (i.e. late gadolinium enhancement) are not incorporated in available scores, and more in general, are not systematically part of the clinical work-up. In this scientific statement, we summarized the current state of the art concerning the risk stratification of SCD in DCM, with particular emphasis on genetic forms, highlight the weaknesses of the available strategies and the potential actions needed for improving them. Available risk stratification tools are discussed, and methodologies that should be incorporated in future prognostication models are summarized. Lastly, a point-by-point summary of the key prerequisites for developing the future arrhythmogenic risk scores in patients with DCM is provided.","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"13 1","pages":""},"PeriodicalIF":10.8000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Future development of arrhythmogenic risk scores in patients with heart failure and inherited dilated cardiomyopathy. A scientific statement of the Heart Failure Association of the ESC.\",\"authors\":\"Marta Gigli,Job A J Verdonschot,Pablo Garcia-Pavia,Davide Stolfo,Lorenzo Monserrat,Sanjay Prasad,Andrea Mazzanti,Folkert W Asselbergs,Barbara Bauce,Philippe Charron,Dana Dawson,Brian P Halliday,Luisa Mestroni,Petar Seferovic,Upasana Tayal,Maria Teresa Tome Esteban,Peter Van Tintelen,Stephane Heymans,Antonis Pantazis,Marco Metra,Gianfranco Sinagra\",\"doi\":\"10.1002/ejhf.70042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The risk of sudden cardiac death (SCD) in the general population of patients with dilated cardiomyopathy (DCM) has progressively declined with the implementation of novel medical strategies. However, still cases occur in young individuals and the challenge of risk stratification remains unsolved. Traditional criteria, including left ventricular ejection fraction, have demonstrated their profound weakness to identify subjects at high risk of SCD in this specific context. The increasing availability of genetic information has allowed identification of certain genotypes with a high arrhythmic risk that deserve a more individualized approach. Recent European guidelines recognized the contribution of genetic information in clinical decision-making. Gene-specific risk stratification tools have been developed, and in some cases externally validated, which can support clinicians in the decisions on SCD primary prevention interventions. However, they are generally based on basic variables, whereas the growing amount of knowledge on novel methods for risk prediction, and in particular the solid data on the predictive value of cardiac magnetic resonance tissue characterization (i.e. late gadolinium enhancement) are not incorporated in available scores, and more in general, are not systematically part of the clinical work-up. In this scientific statement, we summarized the current state of the art concerning the risk stratification of SCD in DCM, with particular emphasis on genetic forms, highlight the weaknesses of the available strategies and the potential actions needed for improving them. Available risk stratification tools are discussed, and methodologies that should be incorporated in future prognostication models are summarized. 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Future development of arrhythmogenic risk scores in patients with heart failure and inherited dilated cardiomyopathy. A scientific statement of the Heart Failure Association of the ESC.
The risk of sudden cardiac death (SCD) in the general population of patients with dilated cardiomyopathy (DCM) has progressively declined with the implementation of novel medical strategies. However, still cases occur in young individuals and the challenge of risk stratification remains unsolved. Traditional criteria, including left ventricular ejection fraction, have demonstrated their profound weakness to identify subjects at high risk of SCD in this specific context. The increasing availability of genetic information has allowed identification of certain genotypes with a high arrhythmic risk that deserve a more individualized approach. Recent European guidelines recognized the contribution of genetic information in clinical decision-making. Gene-specific risk stratification tools have been developed, and in some cases externally validated, which can support clinicians in the decisions on SCD primary prevention interventions. However, they are generally based on basic variables, whereas the growing amount of knowledge on novel methods for risk prediction, and in particular the solid data on the predictive value of cardiac magnetic resonance tissue characterization (i.e. late gadolinium enhancement) are not incorporated in available scores, and more in general, are not systematically part of the clinical work-up. In this scientific statement, we summarized the current state of the art concerning the risk stratification of SCD in DCM, with particular emphasis on genetic forms, highlight the weaknesses of the available strategies and the potential actions needed for improving them. Available risk stratification tools are discussed, and methodologies that should be incorporated in future prognostication models are summarized. Lastly, a point-by-point summary of the key prerequisites for developing the future arrhythmogenic risk scores in patients with DCM is provided.
期刊介绍:
European Journal of Heart Failure is an international journal dedicated to advancing knowledge in the field of heart failure management. The journal publishes reviews and editorials aimed at improving understanding, prevention, investigation, and treatment of heart failure. It covers various disciplines such as molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, clinical sciences, social sciences, and population sciences. The journal welcomes submissions of manuscripts on basic, clinical, and population sciences, as well as original contributions on nursing, care of the elderly, primary care, health economics, and other related specialist fields. It is published monthly and has a readership that includes cardiologists, emergency room physicians, intensivists, internists, general physicians, cardiac nurses, diabetologists, epidemiologists, basic scientists focusing on cardiovascular research, and those working in rehabilitation. The journal is abstracted and indexed in various databases such as Academic Search, Embase, MEDLINE/PubMed, and Science Citation Index.