Literature DB >> 31581819

Towards a personalised approach in exercise-based cardiovascular rehabilitation: How can translational research help? A 'call to action' from the Section on Secondary Prevention and Cardiac Rehabilitation of the European Association of Preventive Cardiology.

Andreas B Gevaert1,2,3, Volker Adams4, Martin Bahls5,6, T Scott Bowen7, Veronique Cornelissen8, Marcus Dörr5,6, Dominique Hansen3,9, Hareld Mc Kemps10, Paul Leeson11, Emeline M Van Craenenbroeck1,2, Nicolle Kränkel12,13.   

Abstract

The benefit of regular physical activity and exercise training for the prevention of cardiovascular and metabolic diseases is undisputed. Many molecular mechanisms mediating exercise effects have been deciphered. Personalised exercise prescription can help patients in achieving their individual greatest benefit from an exercise-based cardiovascular rehabilitation programme. Yet, we still struggle to provide truly personalised exercise prescriptions to our patients. In this position paper, we address novel basic and translational research concepts that can help us understand the principles underlying the inter-individual differences in the response to exercise, and identify early on who would most likely benefit from which exercise intervention. This includes hereditary, non-hereditary and sex-specific concepts. Recent insights have helped us to take on a more holistic view, integrating exercise-mediated molecular mechanisms with those influenced by metabolism and immunity. Unfortunately, while the outline is recognisable, many details are still lacking to turn the understanding of a concept into a roadmap ready to be used in clinical routine. This position paper therefore also investigates perspectives on how the advent of 'big data' and the use of animal models could help unravel inter-individual responses to exercise parameters and thus influence hypothesis-building for translational research in exercise-based cardiovascular rehabilitation.

Entities:  

Keywords:  Cardiovascular rehabilitation; animal models; big data; exercise; immune system; machine learning; personalised medicine; responders/non-responders

Year:  2019        PMID: 31581819     DOI: 10.1177/2047487319877716

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


  14 in total

Review 1.  Physical Exercise in Managing Takayasu Arteritis Patients Complicated With Cardiovascular Diseases.

Authors:  Yaxin Zhou; Yuan Feng; Wei Zhang; Hongxia Li; Kui Zhang; Zhenbiao Wu
Journal:  Front Cardiovasc Med       Date:  2021-05-12

2.  Precision exercise medicine: predicting unfavourable status and development in the 20-m shuttle run test performance in adolescence with machine learning.

Authors:  Laura Joensuu; Ilkka Rautiainen; Sami Äyrämö; Heidi J Syväoja; Jukka-Pekka Kauppi; Urho M Kujala; Tuija H Tammelin
Journal:  BMJ Open Sport Exerc Med       Date:  2021-05-21

3.  Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.

Authors:  Hélène De Cannière; Federico Corradi; Christophe J P Smeets; Melanie Schoutteten; Carolina Varon; Chris Van Hoof; Sabine Van Huffel; Willemijn Groenendaal; Pieter Vandervoort
Journal:  Sensors (Basel)       Date:  2020-06-26       Impact factor: 3.576

4.  Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study.

Authors:  Hélène De Cannière; Christophe J P Smeets; Melanie Schoutteten; Carolina Varon; Chris Van Hoof; Sabine Van Huffel; Willemijn Groenendaal; Pieter Vandervoort
Journal:  J Med Internet Res       Date:  2020-05-20       Impact factor: 5.428

5.  Short-Term Exercise Progression of Cardiovascular Patients throughout Cardiac Rehabilitation: An Observational Study.

Authors:  Hélène De Cannière; Christophe J P Smeets; Melanie Schoutteten; Carolina Varon; John F Morales Tellez; Chris Van Hoof; Sabine Van Huffel; Willemijn Groenendaal; Pieter Vandervoort
Journal:  J Clin Med       Date:  2020-09-29       Impact factor: 4.964

6.  Quality indicators for cardiac rehabilitation after myocardial infarction in China: a consensus panel and practice test.

Authors:  Xianghui Zheng; Maomao Zhang; Yang Zheng; Yongxiang Zhang; Junnan Wang; Ping Zhang; Xuwen Yang; Shan Li; Rongjing Ding; Gaowa Siqin; Xinyu Hou; Liangqi Chen; Min Zhang; Yong Sun; Jian Wu; Bo Yu
Journal:  BMJ Open       Date:  2020-12-30       Impact factor: 3.006

7.  Quantifying the relationship and contribution of mitochondrial respiration to systemic exercise limitation in heart failure.

Authors:  Pim Knuiman; Sam Straw; John Gierula; Aaron Koshy; Lee D Roberts; Klaus K Witte; Carrie Ferguson; Thomas Scott Bowen
Journal:  ESC Heart Fail       Date:  2021-02-20

Review 8.  Updated Recommendations on Cardiovascular Prevention in 2022: An Executive Document of the Italian Society of Cardiovascular Prevention.

Authors:  Massimo Volpe; Giovanna Gallo; Maria Grazia Modena; Claudio Ferri; Giovambattista Desideri; Giuliano Tocci
Journal:  High Blood Press Cardiovasc Prev       Date:  2022-01-13

Review 9.  Current role and future perspectives of cardiac rehabilitation in coronary heart disease.

Authors:  Eduardo M Vilela; Ricardo Ladeiras-Lopes; Ana Joao; Joana Braga; Susana Torres; Sofia Viamonte; José Ribeiro; Madalena Teixeira; José P Nunes; Ricardo Fontes-Carvalho
Journal:  World J Cardiol       Date:  2021-12-26

10.  Clinical phenogroups are more effective than left ventricular ejection fraction categories in stratifying heart failure outcomes.

Authors:  Andreas B Gevaert; Semra Tibebu; Mamas A Mamas; Neal G Ravindra; Shun Fu Lee; Tariq Ahmad; Dennis T Ko; James L Januzzi; Harriette G C Van Spall
Journal:  ESC Heart Fail       Date:  2021-05-02
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