Literature DB >> 28299615

Remote Monitoring in Heart Failure: the Current State.

Rajeev C Mohan1, J Thomas Heywood2, Roy S Small3.   

Abstract

OPINION STATEMENT: The treatment of congestive heart failure is an expensive undertaking with much of this cost occurring as a result of hospitalization. It is not surprising that many remote monitoring strategies have been developed to help patients maintain clinical stability by avoiding congestion. Most of these have failed. It seems very unlikely that these failures were the result of any one underlying false assumption but rather from the fact that heart failure is a progressive, deadly disease and that human behavior is hard to modify. One lesson that does stand out from the myriad of methods to detect congestion is that surrogates of congestion, such as weight and impedance, are not reliable or actionable enough to influence outcomes. Too many factors influence these surrogates to successfully and confidently use them to affect HF hospitalization. Surrogates are often attractive because they can be inexpensively measured and followed. They are, however, indirect estimations of congestion, and due to the lack specificity, the time and expense expended affecting the surrogate do not provide enough benefit to warrant its use. We know that high filling pressures cause transudation of fluid into tissues and that pulmonary edema and peripheral edema drive patients to seek medical assistance. Direct measurement of these filling pressures appears to be the sole remote monitoring modality that shows a benefit in altering the course of the disease in these patients. Congestive heart failure is such a serious problem and the consequences of hospitalization so onerous in terms of patient well-being and costs to society that actual hemodynamic monitoring, despite its costs, is beneficial in carefully selected high-risk patients. Those patients who benefit are ones with a prior hospitalization and ongoing New York Heart Association (NYHA) class III symptoms. Patients with NYHA class I and II symptoms do not require hemodynamic monitoring because they largely have normal hemodynamics. Those with NYHA class IV symptoms do not benefit because their hemodynamics are so deranged that they cannot be substantially altered except by mechanical circulatory support or heart transplantation. Finally, hemodynamic monitoring offers substantial hope to those patients with normal ejection fraction (EF) heart failure, a large group for whom medical therapy has largely been a failure. These patients have not benefited from the neurohormonal revolution that improved the lives of their brothers and sisters with reduced ejection fractions. Hemodynamic stabilization improves the condition of both but more so of the normal EF cohort. This is an important observation that will help us design future trials for the 50% of heart failure patients with normal systolic function.

Entities:  

Keywords:  Heart failure; Hemodynamic monitoring; Remote monitoring; Telemonitoring

Year:  2017        PMID: 28299615     DOI: 10.1007/s11936-017-0519-5

Source DB:  PubMed          Journal:  Curr Treat Options Cardiovasc Med        ISSN: 1092-8464


  29 in total

1.  Randomized trial of an education and support intervention to prevent readmission of patients with heart failure.

Authors:  Harlan M Krumholz; Joan Amatruda; Grace L Smith; Jennifer A Mattera; Sarah A Roumanis; Martha J Radford; Paula Crombie; Viola Vaccarino
Journal:  J Am Coll Cardiol       Date:  2002-01-02       Impact factor: 24.094

2.  Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study.

Authors:  Friedrich Koehler; Sebastian Winkler; Michael Schieber; Udo Sechtem; Karl Stangl; Michael Böhm; Herbert Boll; Gert Baumann; Marcus Honold; Kerstin Koehler; Goetz Gelbrich; Bridget-Anne Kirwan; Stefan D Anker
Journal:  Circulation       Date:  2011-03-28       Impact factor: 29.690

3.  Hemodynamic factors associated with acute decompensated heart failure: part 1--insights into pathophysiology.

Authors:  Michael R Zile; Philip B Adamson; Yong K Cho; Tom D Bennett; Robert C Bourge; Mark F Aaron; Juan M Aranda; William T Abraham; Lynne Warner Stevenson; Fred J Kueffer
Journal:  J Card Fail       Date:  2011-02-26       Impact factor: 5.712

4.  Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial.

Authors:  William T Abraham; Philip B Adamson; Robert C Bourge; Mark F Aaron; Maria Rosa Costanzo; Lynne W Stevenson; Warren Strickland; Suresh Neelagaru; Nirav Raval; Steven Krueger; Stanislav Weiner; David Shavelle; Bradley Jeffries; Jay S Yadav
Journal:  Lancet       Date:  2011-02-19       Impact factor: 79.321

5.  A randomized study of remote monitoring and fluid monitoring for the management of patients with implanted cardiac arrhythmia devices.

Authors:  Lars Lüthje; Dirk Vollmann; Joachim Seegers; Christian Sohns; Gerd Hasenfuß; Markus Zabel
Journal:  Europace       Date:  2015-05-17       Impact factor: 5.214

6.  Combined heart failure device diagnostics identify patients at higher risk of subsequent heart failure hospitalizations: results from PARTNERS HF (Program to Access and Review Trending Information and Evaluate Correlation to Symptoms in Patients With Heart Failure) study.

Authors:  David J Whellan; Kevin T Ousdigian; Sana M Al-Khatib; Wenji Pu; Shantanu Sarkar; Charles B Porter; Behzad B Pavri; Christopher M O'Connor
Journal:  J Am Coll Cardiol       Date:  2010-04-27       Impact factor: 24.094

7.  Intrathoracic impedance monitoring in patients with heart failure: correlation with fluid status and feasibility of early warning preceding hospitalization.

Authors:  Cheuk-Man Yu; Li Wang; Elaine Chau; Raymond Hon-Wah Chan; Shun-Ling Kong; Man-Oi Tang; Jill Christensen; Robert W Stadler; Chu-Pak Lau
Journal:  Circulation       Date:  2005-08-01       Impact factor: 29.690

8.  Timing and Causes of Readmission After Acute Heart Failure Hospitalization-Insights From the Heart Failure Network Trials.

Authors:  Justin M Vader; Shane J LaRue; Susanna R Stevens; Robert J Mentz; Adam D DeVore; Anuradha Lala; John D Groarke; Omar F AbouEzzeddine; Shannon M Dunlay; Justin L Grodin; Victor G Dávila-Román; Lisa de Las Fuentes
Journal:  J Card Fail       Date:  2016-04-28       Impact factor: 5.712

Review 9.  Effects of home telemonitoring interventions on patients with chronic heart failure: an overview of systematic reviews.

Authors:  Spyros Kitsiou; Guy Paré; Mirou Jaana
Journal:  J Med Internet Res       Date:  2015-03-12       Impact factor: 5.428

10.  The MOnitoring Resynchronization dEvices and CARdiac patiEnts (MORE-CARE) randomized controlled trial: phase 1 results on dynamics of early intervention with remote monitoring.

Authors:  Giuseppe Boriani; Antoine Da Costa; Renato Pietro Ricci; Aurelio Quesada; Stefano Favale; Saverio Iacopino; Francesco Romeo; Arnaldo Risi; Lorenza Mangoni di S Stefano; Xavier Navarro; Mauro Biffi; Massimo Santini; Haran Burri
Journal:  J Med Internet Res       Date:  2013-08-21       Impact factor: 5.428

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  3 in total

Review 1.  "Digital biomarkers" in preclinical heart failure models - a further step towards improved translational research.

Authors:  Alexander Schmidt; Jakob Balitzki; Ljubica Grmaca; Julia Vogel; Philip Boehme; Katharina Boden; Jörg Hüser; Hubert Truebel; Thomas Mondritzki
Journal:  Heart Fail Rev       Date:  2022-08-24       Impact factor: 4.654

2.  A 2020 Environmental Scan of Heart Failure Clinics in Ontario.

Authors:  Lakshmi Kugathasan; Troy Francis; Valeria E Rac; Harindra C Wijeysundera; Michael McDonald; Heather J Ross; Ana Carolina Alba
Journal:  CJC Open       Date:  2021-03-26

3.  Invasive Validation of the Echocardiographic Assessment of Left Ventricular Filling Pressures Using the 2016 Diastolic Guidelines: Head-to-Head Comparison with the 2009 Guidelines.

Authors:  Bhavna Balaney; Diego Medvedofsky; Anuj Mediratta; Amita Singh; Boguslawa Ciszek; Eric Kruse; Atman P Shah; Karima Addetia; Roberto M Lang; Victor Mor-Avi
Journal:  J Am Soc Echocardiogr       Date:  2017-10-27       Impact factor: 5.251

  3 in total

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