Heart failure hospitalizations: How to Identify High-Risk Heart Failure patients

50% of patients with heart failure are re-admitted within 1 year of their initial diagnosis of HF.3,4

30–40% of heart failure patients have a history of hospitalization for HF. 1, 2

Upon watching this webinar, you will be able to: 

• Understand how device diagnostics can be used to identify patients at higher risk of heart failure events
• See the clinical evidence that supports integrated heart failure diagnostics
• And how to implement it in clinical practice

Understand how:

• Our solution TriageHFTM is a simplified, integrated heart failure risk assessment tool that alerts you to clinically relevant changes in a patient’s status that may lead to a heart failure decompensation and enable you to prevent hospitalization for worsening heart failure.
• With our solution TriageHFTM, you can screen your ambulatory heart failure device population to identify those patients who are at high risk of decompensation for clinical teams to review.

1. European Society of Cardiology Heart Failure Long-Term Registry (ESC-HF-LT): 1-year follow-up outcomes and differences across regions. Eur J Heart Fail 2016;18:613–625.

2. Medical therapy for heart failure with reduced ejection fraction: the CHAMP-HF Registry. J Am Coll Cardiol 2018;72:351–366, Greene SJ, Butler J et al.

3.Lawson CA, Zaccardi F, Squire I, Ling S, Davies MJ, Lam CSP, Mamas MA, Khunti K,Kadam UT. 20-year trends in cause-specific heart failure outcomes by sex, socioeconomic status, and place of diagnosis: a population-based study. Lancet Public Health 2019;4:e406–e420.

4.Schrage B, Lund LH, Benson L, Stolfo D, Ohlsson A, Westerling R, Westermann D, Stromberg A, Dahlstrom U, Braunschweig F, Ferreira JP, Savarese G. Lower socioeconomic status predicts higher mortality and morbidity in patients with heart failure. Heart 2021;107:229–236.

Introduction: 5min 

Presentation: 1h - Dr Fozia Zahir Ahmed: Heart failure hospitalizations: How to Identify High-Risk Heart Failure patients

Q&A : 20 min

Conclusion : 5min