Positive predictive value of a dynamic multiparameter heart failure risk score to identify worsening heart failure: primary results from the personalized therapy study

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Positive predictive value of a dynamic multiparameter heart failure risk score to identify worsening heart failure: primary results from the personalized therapy study

Session: Late-breaking science: screening for heart failure and prognostic models

Topic: Home and Remote Patient Monitoring

Speaker: Doctor C. Love (Baltimore, US)

Event: Heart Failure 2025

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Doctor Charles Love

The Johns Hopkins Hospital, Baltimore (United States of America)

5 presentations

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6 more presentations in this session

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Predicting heart failure events in patients with persistent left ventricular dysfunction following acute myocardial infarction: Insights from the WICD-MI study

Speaker: Doctor M. Echivard (Nancy, FR)

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Decentralized community-based rapid cardiac ultrasound triage for early heart failure detection using a hub-and-spoke model: findings from Heart2Miss initiative

Speaker: Doctor D. Foo (Kuching, MY)

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Validation of a novel, non-invasive system for remote monitoring of left ventricular filling pressure in heart failure patients

Speaker: Associate Professor A. Bohm (Bratislava, SK)

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Impact of rurality and travel distance on the effectiveness of remote patient management in patients with heart failure: a pre-specified analysis of the randomised controlled TIM-HF2 trial

Speaker: Professor S. Stoerk (Wuerzburg, DE)

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Late-breaking science: screening for heart failure and prognostic models

Speakers: Doctor C. Love, Doctor M. Echivard, Doctor D. Foo, Associate Professor A. Bohm, Professor S. Stoerk

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About the event

Heart Failure 2025

17 May - 20 May 2025

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