New Non-Invasive Technologies for Optimal Management of Chronic Heart Failure
New Non-Invasive Technologies for Optimal Management of Chronic Heart Failure
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Author Info
Emmanuel ANDRES Samy Talha Abrar-Ahmad Zulfiqar Noel Lorenzo Villalba Mohamed Hajjam Bernard Gény Amir Hajjam El Hassani
Corresponding Author
Emmanuel ANDRESService de Médecine Interne, Diabète et Maladies Métaboliques de la Clinique Médicale B, Hôpitaux Universitaires de Strasbourg, 1, porte de l’Hôpital, 67091 Strasbourg cedex France
A B S T R A C T
In recent years, several technological innovations have become part of the daily lives of patients suffered from chronic diseases. It is the case for chronic heart failure with non-invasive sensors, telemedicine, and artificial intelligence. A review of the literature dedicated to these technologies and tools supports the efficacy of these latter. Mainly, these technologies have shown a beneficial effect on chronic heart failure management with an improvement of: patient ownership of the disease; patient adherence to therapeutic and hygiene–dietary measures; the management of co-morbidities (hypertension, weight, dyslipidemia); and at least, good patient receptivity and accountability. Especially, the emergence of these technologies in the daily lives of these patients suffered from chronic disease, as chronic heart failure, has led to an improvement of the quality of life for patients. Nevertheless, the magnitude of its effects remains to date debatable or to be consolidated, especially with the variation in patients' characteristics, methods of experimentation, and in terms of medical and economic objectives.
Article Info
Article Type
Research ArticlePublication history
Received: Tue 31, Dec 2019Accepted: Wed 15, Jan 2020
Published: Mon 27, Jan 2020
Copyright
© 2023 Emmanuel ANDRES. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.DOI: 10.31487/j.CDM.2019.01.03