A cross-sectoral study to individually optimize therapy in heart failure- "AMPEL" trial

L. Brunelli, Günter Schreier, D. Hayn, K. Kreiner, A. Lauschensky, F. Wiesmüller, M. Baumgartner, B. Pfeifer, S. Neururer, A. Bauer, G. Poelzl

Publikation: Posterpräsentation ohne Beitrag in TagungsbandPosterpräsentation ohne Eintrag in TagungsbandBegutachtung


Guideline-directed medical treatment (GDMT) beyond the hospitalization phase is crucial for a stable
course of the disease and better survival. Nevertheless, several studies show a clear need for optimization regarding both initiation and dosing of GDMT in the context of daily clinical practice. Several eforts have been made to improve adherence to the use of GDMT, but no signifcant results have been shown to date in terms of treatment optimization and clinical outcome.
The Assisted Therapy Optimizing Module has been designed to actively assist physicians in adhering to and improving guideline-based medical therapy in the context of a multidisciplinary heart failure management program.

The Assisted Therapy Optimizing module is a graphical visualization of the diferent drug classes and the percentage of each prescribed target dose according to the current guidelines for the treatment of chronic heart failure patients with reduced ejection fraction (HFrEF) published by the European Society of Cardiology. If a drug class or dose increase is contraindicated, the physicians can choose from a predefned selection of absolute or relative contraindications and document this in the system. To achieve a high level of GDMT consistency, the selection options are limited exclusively to the contraindications listed in the guidelines. Te time-limited
PublikationsstatusVeröffentlicht - Mai 2023
VeranstaltungÖsterreichische Kardiologische Gesellschaft Jahrestagung 2023: „Wissenschaft und Praxis im Dialog“ - Salzburg-Congress, Salzburg, Österreich
Dauer: 31 Mai 20233 Juni 2023


KonferenzÖsterreichische Kardiologische Gesellschaft Jahrestagung 2023
KurztitelÖKG Jahrestagung 2023

Research Field

  • Exploration of Digital Health

Web of Science subject categories (JCR Impact Factors)

  • Medicine, General & Internal


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