Remote monitoring of heart failure patients: A complex proximity

Brito, Dulce

doi:10.1016/j.repc.2021.03.001

Cited by 3 publications

(2 citation statements)

References 20 publications

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Section: Discussionmentioning

confidence: 99%

“…1,6,12 The Implant-based Multiparameter Telemonitoring of Patients with Heart Failure trial showed improved clinical outcomes for HF patients with CIEDs, leading to the inclusion of a multiparameter telemonitoring approach in the European Society of Cardiology HF guidelines. 4,11,16 The need for accurate and practical RM tools has been greater since the start of the coronavirus disease 2019 (COVID-19) pandemic. Stay-at-home orders and physical distancing have been essential to reduce the spread of severe acute respiratory syndrome coronavirus 2, especially early on.…”

Section: Discussionmentioning

confidence: 99%

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Validation of a Heart Failure Risk Score in a Cohort of Cardiac Resynchronization Therapy Patients Under Remote Monitoring: Results from the TriageHF™ Algorithm

CARDOSO,

CUNHA,

LARANJO

et al. 2023

J Innov Cardiac Rhythm Manage.

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The heart failure risk status (HFRS) is a validated dynamic tool for risk score prediction, based on the TriageHF™ algorithm (Medtronic, Minneapolis, MN, USA), for the occurrence of a heart failure (HF) event in the 30 days following a remote monitoring (RM) transmission. The aim of this study was to evaluate the accuracy of the HFRS in predicting an unplanned hospital admission due to HF decompensation in a real-world cohort of patients submitted to cardiac resynchronization therapy (CRT). We conducted a single-center review of a cohort of 40 consecutive HF patients, under RM, with CRT devices using the HFRS of the TriageHF™ algorithm. The correlation of the HFRS with hospital admissions was analyzed. During a mean follow-up of 36 months, a stepwise increase in the HFRS was significantly associated with a higher risk of HF admission (odds ratio, 12.7; 95% confidence interval, 3.2–51.5; P < .001), and the HFRS was demonstrated to have good discrimination for HF hospitalization, with an area under the receiver-operating characteristic curve of 0.812. The TriageHF™ algorithm effectively predicted HF-related hospitalization in a cohort of CRT patients during long-term RM follow-up, providing a novel clinical pathway to optimize the clinical management of this complex population.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Validation of a Heart Failure Risk Score in a Cohort of Cardiac Resynchronization Therapy Patients Under Remote Monitoring: Results from the TriageHF™ Algorithm

CARDOSO,

CUNHA,

LARANJO

et al. 2023

J Innov Cardiac Rhythm Manage.

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Effects of Telemonitoring in Adult Heart Failure Patients on Self-care and Quality of Life: A Systematic Review Protocol

Pequito¹,

Marques²,

Oliveira³

2023

Lecture Notes in Bioengineering

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Introduction: Heart failure (HF) is a serious public health problem that affects many individuals and is associated with high mortality and multimorbidity. It is estimated that the prevalence of heart failure in mainland Portugal will increase by 30% in 2035 and 33% in 2060. Home care for people with heart failure using monitoring devices and/or integrated into telemonitoring programs has been the object of research by the scientific community in health. Objective: We aim to identify and analyze if the implementation of a telemonitoring program contributes to self-care and quality life in management of the clinical situation. Methods and analysis: This is a systematic literature review protocol. The search will be carried out in the following databases

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Telemonitoring in heart failure: The rise of the insidables

Ferreira

2022

Revista Portuguesa de Cardiologia

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Remote monitoring of heart failure patients: A complex proximity

Cited by 3 publications

References 20 publications

Validation of a Heart Failure Risk Score in a Cohort of Cardiac Resynchronization Therapy Patients Under Remote Monitoring: Results from the TriageHF™ Algorithm

Validation of a Heart Failure Risk Score in a Cohort of Cardiac Resynchronization Therapy Patients Under Remote Monitoring: Results from the TriageHF™ Algorithm

Effects of Telemonitoring in Adult Heart Failure Patients on Self-care and Quality of Life: A Systematic Review Protocol

Telemonitoring in heart failure: The rise of the insidables

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