scholarly journals Remote monitoring and heart failure: monitoring parameters, technology, and workflow

2016 ◽  
Vol 37 (41) ◽  
pp. 3164-3166 ◽  
Author(s):  
Gerhard Hindricks ◽  
Niraj Varma
Author(s):  
Brent C. Lampert ◽  
William T. Abraham

The initial cause of worsening heart failure is increased intracardiac and pulmonary pressures. Traditional non-invasive heart failure monitoring strategies that follow surrogates of increased pressures have not reduced heart failure hospitalizations. Pulmonary artery pressure measurements using the implantable CardioMEMS system allow daily remote monitoring and earlier identification of heart failure decompensations. In the CHAMPION trial, remote monitoring with the CardioMEMS Heart Failure system significantly reduced hospitalizations for heart failure, even in patients with numerous comorbidities. For patients with refractory advanced heart failure, mechanical circulatory support can markedly improve the length and quality of life but can also have multiple complications. Implantable hemodynamic monitoring with CardioMEMS may provide clinicians with better information to guide the timing of left ventricular assist device implantation and to improve post-implant care.


2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Andrea Rebecca Yapejian ◽  
Marat Fudim

Abstract Background With the ongoing coronavirus disease 2019 (COVID-19) epidemic, remote monitoring of patients with implanted cardiac devices has become more important than ever, as physical distancing measures have placed limits on in-clinic device monitoring. Remote monitoring alerts, particularly those associated with heart failure trends, have proved useful in guiding care in regard to monitoring fluid status and adjusting heart failure medications. Case summary This report describes use of Boston Scientific’s HeartLogic algorithm, which is a multisensor device algorithm in implantable cardioverter-defibrillator devices that is proven to be an early predictor of heart failure decompensation by measuring several variables, including respiratory rate, nighttime heart rate, and heart sounds. We present three cases of patients who were actively surveilled by the various HeartLogic device algorithm sensors and were identified to have increasing respiratory rates high enough to trigger a HeartLogic alert prior to a positive COVID-19 diagnosis. Discussion We propose that the HeartLogic algorithm and its accompanying individual physiologic sensors demonstrate potential for use in identifying non-heart failure-related decompensation, such as COVID-19-positive diagnoses.


2021 ◽  
Vol 40 (5) ◽  
pp. 329-337
Author(s):  
Carla Martins ◽  
José Machado da Silva ◽  
Diana Guimarães ◽  
Luís Martins ◽  
Manuel Vaz da Silva

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
Elena Villalba ◽  
M.T. Arredondo ◽  
M. Ottaviano ◽  
D. Salvi ◽  
E. Hoyo-Barbolla ◽  
...  

2020 ◽  
Vol 2 (14) ◽  
pp. 2265-2269
Author(s):  
Ugochukwu O. Egolum ◽  
Kishan Parikh ◽  
Carolyn Lekavich ◽  
Jedrek Wosik ◽  
Camille Frazier-Mills ◽  
...  

2020 ◽  
Vol 43 (7) ◽  
pp. 691-697 ◽  
Author(s):  
Luca Santini ◽  
Antonio D'Onofrio ◽  
Antonio Dello Russo ◽  
Leonardo Calò ◽  
Domenico Pecora ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document