Search results
Author(s):
Jasper J Brugts
Added:
2 years ago
HFA 24 - We are joined by Dr Jasper J Brugts (Erasmus University Medical Centre, NL) to discuss the findings of a predefined subgroup analysis of the MONITOR-HF study (NTR7672).MONITOR-HF was an open-label, randomised trial, done in 25 centres in the Netherlands. Eligible patients had chronic heart failure of New York Heart Association class III and a previous heart failure hospitalisation,…
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Author(s):
Nicolas Girerd
Added:
2 years ago
HFA 2024 — Investigator, Prof Nicolas Girerd (University Hospital of Nancy, FR) joins us to discuss the findings from the TELESAT study (NCT06312501).This multicenter observational longitudinal cohort study investigated whether a Remote Patient Monitoring (RPM) program (Satelia®Cardio, Satelia) is able to prevent cardiac decompensation by detecting weak signals of decompensation early in patients…
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Author(s):
Stefan Stork
Added:
1 year ago
ESC HF 25 - A secondary analysis of TIM-HF2 showed that patients residing farther from their cardiologist benefited further from remote patient management (RPM).Prof Stefan Störk (University Hospital Wuerzburg, DE) discusses the findings from a pre-specified, secondary analysis of TIM-HF2, investigating the impact of rurality and travel distance on the effectiveness of RPM in patients…
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Author(s):
Renzo Laborante
,
Attilio Restivo
,
Daniela Mele
,
et al
Added:
1 year ago
Author(s):
Added:
1 week ago
Prof Isabella Kardys (Erasmus MC University Medical Center, Rotterdam, NL) joins us to discuss how proteomic phenotyping, serial biomarkers and digital monitoring could enable more personalised, proactive heart failure care.Prof Kardys outlines work applying large-scale proteomics to HFpEF, where serial profiling of around 5,000 proteins in over 400 patients has revealed distinct subphenotypes…
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Added:
2 months ago
Source:
CFR Journal
Consumer wearable devices may offer a scalable method for the daily monitoring of heart failure (HF) symptoms and predicting exacerbations. A new study has detailed how a deep learning model using Apple Watch data can estimate cardiopulmonary fitness and provide early risk discrimination for unplanned healthcare events in patients with HF.¹MethodologyThe Ted Rogers Understanding Exacerbations of…
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Fozia Ahmed
Job title: Consultant Cardiologist (Sub-specialty interests in Heart Failure and Cardiac Devices)
Author
HFA 24: Late-Breaking Science Video Collection
Video Series
Andrew J Sauer
Research Area(s) / Expertise:
Job title: Cardiologist
Author
Philip Adamson
Job title: Medical Director
Author
