Adherence to guideline-directed medical treatments in heart failure. A scientific statement of the Heart Failure Association (HFA) of the ESC and the ESC Working Group on Cardiovascular Pharmacotherapy
Articolo
Data di Pubblicazione:
2025
Citazione:
Adherence to guideline-directed medical treatments in heart failure. A scientific statement of the Heart Failure Association (HFA) of the ESC and the ESC Working Group on Cardiovascular Pharmacotherapy / Savarese, G.; Lindberg, F.; Cannata, A.; Adamo, M.; Ambrosio, G.; Ameri, P.; Anker, M. S.; Back, M.; Bayes-Genis, A.; Ben Gal, T.; Braunschweig, F.; Chioncel, O.; D'Elia, E.; El-Tamimi, H.; Filippatos, G.; Girerd, N.; Hill, L.; Jankowska, E.; Khunti, K.; Lewis, B. S.; Moura, B.; Amir, O.; Paolillo, S.; Piepoli, M.; Shehab, A.; Simpson, M.; Skouri, H.; Stolfo, D.; Tocchetti, C. G.; Vitale, C.; Volterrani, M.; Von Haehling, S.; Wassmann, S.; Yilmaz, M. B.; Kaski, J. C.; Dobrev, D.; Metra, M.; Rosano, G. M. C.. - In: EUROPEAN JOURNAL OF HEART FAILURE. - ISSN 1388-9842. - 27:12(2025), pp. 2716-2731. [10.1002/ejhf.70090]
Abstract:
Heart failure (HF) affects over 60 million individuals globally. Contemporary guideline-directed medical therapies (GDMT) reduce cardiovascular mortality and HF hospitalizations. However, medication non-adherence represents a critical barrier limiting real-world efficacy of GDMT. This scientific statement aims to provide a comprehensive framework for understanding, measuring, and addressing medication non-adherence in HF management across diverse healthcare settings. Addressing medication non-adherence requires systematic, multifaceted approaches targeting individual patient barriers while implementing system-level interventions. Polypills, digital monitoring platforms, enhanced patient education and empowerment, and multidisciplinary care models represent promising strategies to optimize therapeutic adherence and improve clinical outcomes in HF management.
Tipologia CRIS:
1.1.4. Guidelines, Consensus
Elenco autori:
Savarese, G.; Lindberg, F.; Cannata, A.; Adamo, M.; Ambrosio, G.; Ameri, P.; Anker, M. S.; Back, M.; Bayes-Genis, A.; Ben Gal, T.; Braunschweig, F.; Chioncel, O.; D'Elia, E.; El-Tamimi, H.; Filippatos, G.; Girerd, N.; Hill, L.; Jankowska, E.; Khunti, K.; Lewis, B. S.; Moura, B.; Amir, O.; Paolillo, S.; Piepoli, M.; Shehab, A.; Simpson, M.; Skouri, H.; Stolfo, D.; Tocchetti, C. G.; Vitale, C.; Volterrani, M.; Von Haehling, S.; Wassmann, S.; Yilmaz, M. B.; Kaski, J. C.; Dobrev, D.; Metra, M.; Rosano, G. M. C.
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